Day12PandasMovie.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# corr()\n",
    "# srt.contains()\n",
    "# value_counts()\n",
    "# sort_values()\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>영화명</th>\n",
       "      <th>개봉일</th>\n",
       "      <th>영화유형</th>\n",
       "      <th>국적</th>\n",
       "      <th>스크린수</th>\n",
       "      <th>매출액</th>\n",
       "      <th>관객수</th>\n",
       "      <th>장르</th>\n",
       "      <th>등급</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>명량</td>\n",
       "      <td>2014-07-30</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>1,587</td>\n",
       "      <td>135,748,398,910</td>\n",
       "      <td>17,613,682</td>\n",
       "      <td>사극</td>\n",
       "      <td>15세이상관람가</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>극한직업</td>\n",
       "      <td>2019-01-23</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>1,978</td>\n",
       "      <td>139,647,979,516</td>\n",
       "      <td>16,264,944</td>\n",
       "      <td>코미디</td>\n",
       "      <td>15세이상관람가</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>신과함께-죄와 벌</td>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>1,912</td>\n",
       "      <td>115,698,654,137</td>\n",
       "      <td>14,410,754</td>\n",
       "      <td>판타지</td>\n",
       "      <td>12세이상관람가</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>국제시장</td>\n",
       "      <td>2014-12-17</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>966</td>\n",
       "      <td>110,828,014,630</td>\n",
       "      <td>14,245,998</td>\n",
       "      <td>드라마</td>\n",
       "      <td>12세이상관람가</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>어벤져스: 엔드게임</td>\n",
       "      <td>2019-04-24</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>미국</td>\n",
       "      <td>2,835</td>\n",
       "      <td>122,182,694,160</td>\n",
       "      <td>13,934,592</td>\n",
       "      <td>액션</td>\n",
       "      <td>12세이상관람가</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          영화명         개봉일  영화유형  국적   스크린수              매출액         관객수   장르  \\\n",
       "1          명량  2014-07-30  개봉영화  한국  1,587  135,748,398,910  17,613,682   사극   \n",
       "2        극한직업  2019-01-23  개봉영화  한국  1,978  139,647,979,516  16,264,944  코미디   \n",
       "3   신과함께-죄와 벌  2017-12-20  개봉영화  한국  1,912  115,698,654,137  14,410,754  판타지   \n",
       "4        국제시장  2014-12-17  개봉영화  한국    966  110,828,014,630  14,245,998  드라마   \n",
       "5  어벤져스: 엔드게임  2019-04-24  개봉영화  미국  2,835  122,182,694,160  13,934,592   액션   \n",
       "\n",
       "         등급  \n",
       "1  15세이상관람가  \n",
       "2  15세이상관람가  \n",
       "3  12세이상관람가  \n",
       "4  12세이상관람가  \n",
       "5  12세이상관람가  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "영화명       0\n",
      "개봉일      18\n",
      "영화유형      0\n",
      "국적        9\n",
      "스크린수      0\n",
      "매출액     227\n",
      "관객수       0\n",
      "장르      101\n",
      "등급       50\n",
      "dtype: int64\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 19704 entries, 1 to 19704\n",
      "Data columns (total 9 columns):\n",
      "영화명     19704 non-null object\n",
      "개봉일     19704 non-null object\n",
      "영화유형    19704 non-null object\n",
      "국적      19704 non-null object\n",
      "스크린수    19704 non-null int64\n",
      "매출액     19704 non-null int64\n",
      "관객수     19704 non-null int64\n",
      "장르      19704 non-null object\n",
      "등급      19704 non-null object\n",
      "dtypes: int64(3), object(6)\n",
      "memory usage: 1.5+ MB\n"
     ]
    }
   ],
   "source": [
    "# From kobis.or.kr\n",
    "#CSV파일 건너뛰어 읽기\n",
    "df = pd.read_csv('./ad/KOBIS_개봉일람_2019-10-26.csv',skiprows=5)\n",
    "df.rename(columns={'전국':'스크린수', '전국.1':'매출액', '전국.2':'관객수','서울':'서울매출액', '서울.1':'서울관객수'}, inplace=True)\n",
    "df.drop(0, inplace=True)\n",
    "df.drop(['순번', '제작사', '수입사', '배급사', '서울매출액', '서울관객수', '감독', '영화구분', '영화형태'], axis=1, inplace=True)\n",
    "# null확인\n",
    "print(df.isnull().sum(axis=0))\n",
    "#  null 0으로 채우기\n",
    "df.fillna('0', inplace=True)\n",
    "# 숫자 데이터 정수형으로\n",
    "df['스크린수'] = df.스크린수.apply(lambda x: int(x.replace(',','')))\n",
    "df['매출액'] = df.매출액.apply(lambda x: int(x.replace(',','')))\n",
    "df['관객수'] = df.관객수.apply(lambda x: int(x.replace(',','')))\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "국적\n",
      "한국     8984898889995\n",
      "미국     7603096955226\n",
      "일본      278292077442\n",
      "영국      170372907804\n",
      "프랑스     130439668878\n",
      "Name: 매출액, dtype: int64\n",
      "국적\n",
      "한국          1.611063e+09\n",
      "미국          1.325736e+09\n",
      "벨기에         9.617898e+08\n",
      "남아프리카공화국    7.712174e+08\n",
      "아이슬란드       4.042822e+08\n",
      "Name: 매출액, dtype: float64\n",
      "국적\n",
      "한국     1621837250\n",
      "미국     1228810827\n",
      "일본       53483206\n",
      "영국       29385938\n",
      "프랑스      21751672\n",
      "Name: 관객수, dtype: int64\n",
      "국적\n",
      "0           349860.888889\n",
      "한국          290808.185404\n",
      "미국          214265.183435\n",
      "벨기에         125539.823529\n",
      "남아프리카공화국    108967.600000\n",
      "Name: 관객수, dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x9086308>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 국가별 매출액합 상위 5개국\n",
    "print(df.groupby('국적').매출액.sum().sort_values(ascending=False).head())\n",
    "\n",
    "# 매출액\n",
    "print(df.groupby('국적').매출액.mean().sort_values(ascending=False).head())\n",
    "print(df.groupby('국적').관객수.sum().sort_values(ascending=False).head())\n",
    "print(df.groupby('국적').관객수.mean().sort_values(ascending=False).head())\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x864e788>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# matplotlib 한글화 코드\n",
    "import matplotlib as mpl\n",
    "\n",
    "import matplotlib.font_manager as fm\n",
    "\n",
    "\n",
    "\n",
    "mpl.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "\n",
    "\n",
    "path = 'C:/Windows/Fonts/malgun.ttf'\n",
    "\n",
    "font_name = fm.FontProperties(fname=path, size=50).get_name()\n",
    "\n",
    "plt.rc('font', family=font_name)\n",
    "df.groupby('국적').매출액.sum().sort_values(ascending=False).head().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb6fcc08>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('국적').매출액.sum().sort_values(ascending=False).head(5).plot(kind='pie')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    영화명         개봉일  영화유형  국적  스크린수           매출액       관객수   장르        등급\n",
      "2  극한직업  2019-01-23  개봉영화  한국  1978  139647979516  16264944  코미디  15세이상관람가\n",
      "  영화명         개봉일  영화유형  국적  스크린수           매출액       관객수  장르        등급\n",
      "1  명량  2014-07-30  개봉영화  한국  1587  135748398910  17613682  사극  15세이상관람가\n"
     ]
    }
   ],
   "source": [
    "# 매출액이 가장 큰 영화는\n",
    "print(df[df.매출액 == df.매출액.max()])\n",
    "# 관객수가 가장 많았던 영화\n",
    "print(df[df.관객수 == df.관객수.max()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "국적\n",
      "미국      5735\n",
      "한국      5577\n",
      "일본      3474\n",
      "홍콩       896\n",
      "프랑스      823\n",
      "영국       623\n",
      "중국       381\n",
      "독일       328\n",
      "이탈리아     293\n",
      "캐나다      225\n",
      "Name: 영화명, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb625f48>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 각 국가별 갯수 상위 10개국\n",
    "print(df.groupby('국적').영화명.count().sort_values(ascending=False).head(10))\n",
    "\n",
    "df.groupby('국적').영화명.count().sort_values(ascending=False).head(10).plot(kind='bar')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "국적\n",
      "한국          1.611063e+09\n",
      "미국          1.325736e+09\n",
      "벨기에         9.617898e+08\n",
      "남아프리카공화국    7.712174e+08\n",
      "아이슬란드       4.042822e+08\n",
      "인도          3.999998e+08\n",
      "영국          2.734718e+08\n",
      "아일랜드        2.669885e+08\n",
      "페루          1.913412e+08\n",
      "중국          1.770558e+08\n",
      "Name: 매출액, dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb5236c8>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 각 국가별 평균매출액 상위10개국\n",
    "print(df.groupby('국적').매출액.mean().sort_values(ascending=False).head(10))\n",
    "df.groupby('국적').매출액.mean().sort_values(ascending=False).head(10).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "172212"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ubd = int(df[df.영화명=='자전차왕 엄복동'].관객수)\n",
    "ubd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb7f1548>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 그래프를 통해서 매출액과 관객수/ 매출액과 스크린수의 관계를 보이시오\n",
    "df.plot(x='관객수', y='매출액', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb7ec048>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='스크린수', y='매출액', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>영화명</th>\n",
       "      <th>개봉일</th>\n",
       "      <th>영화유형</th>\n",
       "      <th>국적</th>\n",
       "      <th>스크린수</th>\n",
       "      <th>매출액</th>\n",
       "      <th>관객수</th>\n",
       "      <th>장르</th>\n",
       "      <th>등급</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>명량</td>\n",
       "      <td>2014-07-30</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>1587</td>\n",
       "      <td>135748398910</td>\n",
       "      <td>17613682</td>\n",
       "      <td>사극</td>\n",
       "      <td>15세이상관람가</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>극한직업</td>\n",
       "      <td>2019-01-23</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>1978</td>\n",
       "      <td>139647979516</td>\n",
       "      <td>16264944</td>\n",
       "      <td>코미디</td>\n",
       "      <td>15세이상관람가</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>신과함께-죄와 벌</td>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>1912</td>\n",
       "      <td>115698654137</td>\n",
       "      <td>14410754</td>\n",
       "      <td>판타지</td>\n",
       "      <td>12세이상관람가</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         영화명         개봉일  영화유형  국적  스크린수           매출액       관객수   장르  \\\n",
       "1         명량  2014-07-30  개봉영화  한국  1587  135748398910  17613682   사극   \n",
       "2       극한직업  2019-01-23  개봉영화  한국  1978  139647979516  16264944  코미디   \n",
       "3  신과함께-죄와 벌  2017-12-20  개봉영화  한국  1912  115698654137  14410754  판타지   \n",
       "\n",
       "         등급  \n",
       "1  15세이상관람가  \n",
       "2  15세이상관람가  \n",
       "3  12세이상관람가  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "month\n",
      "01    1462\n",
      "02    1401\n",
      "03    1623\n",
      "04    1686\n",
      "05    1630\n",
      "06    1622\n",
      "07    1707\n",
      "08    1731\n",
      "09    1774\n",
      "10    1547\n",
      "11    1796\n",
      "12    1707\n",
      "Name: 영화명, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xf18bf48>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 월별 개봉영화 갯수\n",
    "df.drop(df[df.개봉일=='0'].index, inplace=True)\n",
    "df['month'] = df.개봉일.apply(lambda x:x.split('-')[1])\n",
    "df.head(3)\n",
    "print(df.groupby('month').영화명.count())\n",
    "df.groupby('month').영화명.count().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xfdd8448>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('month').매출액.mean().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xf70ef88>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('month').관객수.mean().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xf9d6088>"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 영화장르별 수익성\n",
    "\n",
    "# 영화장르별 매출액합\n",
    "df.groupby('장르').매출액.sum().plot(kind='bar')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x864e248>"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 영화장르별 매출액평균\n",
    "df.groupby('장르').매출액.mean().sort_values(ascending=False).head(10).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc440988>"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 영화장르별 매출액평균\n",
    "df.groupby('장르').매출액.mean().sort_values().head(10).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2701821536.5"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.매출액.quantile(0.95)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x101b9e48>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[(df.매출액<df.매출액.quantile(0.99))&(df.매출액>100000000)].groupby('장르').매출액.mean().sort_values(ascending=False).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "그리스\n",
      "             영화명         개봉일  영화유형   국적  스크린수        매출액    관객수   장르  \\\n",
      "3215  나의 사랑, 그리스  2017-04-20  개봉영화  그리스   123  241875000  30181  드라마   \n",
      "\n",
      "            등급 month  year  \n",
      "3215  15세이상관람가    04  2017  \n",
      "기타\n",
      "       영화명         개봉일  영화유형  국적  스크린수         매출액     관객수   장르        등급  \\\n",
      "2068  가버나움  2019-01-24  개봉영화  기타   111  1182486219  142622  드라마  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "2068    01  2019  \n",
      "남아프리카공화국\n",
      "                    영화명         개봉일  영화유형        국적  스크린수         매출액     관객수  \\\n",
      "1245  잠베지아: 신비한 나무섬의 비밀  2012-12-25  개봉영화  남아프리카공화국   273  3333947000  472692   \n",
      "\n",
      "         장르     등급 month  year  \n",
      "1245  애니메이션  전체관람가    12  2012  \n",
      "네덜란드\n",
      "         영화명         개봉일  영화유형    국적  스크린수       매출액   관객수      장르        등급  \\\n",
      "4213  킬 미 달링  2016-01-28  개봉영화  네덜란드    58  72912300  9558  멜로/로맨스  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "4213    01  2016  \n",
      "노르웨이\n",
      "               영화명         개봉일  영화유형    국적  스크린수        매출액    관객수     장르  \\\n",
      "2815  꼬마영웅 경찰차 프로디  2013-04-11  개봉영화  노르웨이   229  343590000  52154  애니메이션   \n",
      "\n",
      "         등급 month  year  \n",
      "2815  전체관람가    04  2013  \n",
      "뉴질랜드\n",
      "                       영화명         개봉일  영화유형    국적  스크린수        매출액    관객수  \\\n",
      "3091  반지의 제왕 : 반지원정대 (확장판)  2017-01-11  개봉영화  뉴질랜드    74  470027900  35758   \n",
      "\n",
      "       장르        등급 month  year  \n",
      "3091  판타지  12세이상관람가    01  2017  \n",
      "대만\n",
      "          영화명         개봉일  영화유형  국적  스크린수         매출액     관객수      장르  \\\n",
      "1319  장난스런 키스  2019-03-27  개봉영화  대만   532  3501463050  428009  멜로/로맨스   \n",
      "\n",
      "            등급 month  year  \n",
      "1319  12세이상관람가    03  2019  \n",
      "덴마크\n",
      "           영화명         개봉일  영화유형   국적  스크린수         매출액     관객수    장르     등급  \\\n",
      "1916  해양경찰 마르코  2013-02-14  개봉영화  덴마크   276  1143045000  180618  어드벤처  전체관람가   \n",
      "\n",
      "     month  year  \n",
      "1916    02  2013  \n",
      "독일\n",
      "                         영화명         개봉일  영화유형  국적  스크린수          매출액  \\\n",
      "679  레지던트 이블 4: 끝나지 않은 전쟁 3D  2010-09-16  개봉영화  독일   335  14767125516   \n",
      "\n",
      "         관객수      장르       등급 month  year  \n",
      "679  1209538  공포(호러)  청소년관람불가    09  2010  \n",
      "러시아\n",
      "                    영화명         개봉일  영화유형   국적  스크린수         매출액     관객수  \\\n",
      "1060  눈의 여왕 2: 트롤의 마법거울  2014-12-24  개봉영화  러시아   479  4482452600  618598   \n",
      "\n",
      "         장르     등급 month  year  \n",
      "1060  애니메이션  전체관람가    12  2014  \n",
      "루마니아\n",
      "         영화명         개봉일  영화유형    국적  스크린수       매출액   관객수   장르        등급  \\\n",
      "4611  신의 소녀들  2012-12-06  개봉영화  루마니아    14  46562000  6275  드라마  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "4611    12  2012  \n",
      "마케도니아\n",
      "       영화명         개봉일  영화유형     국적  스크린수   매출액  관객수   장르       등급 month  year\n",
      "10969  딜레마  2018-05-25  개봉영화  마케도니아     1  2000    1  드라마  청소년관람불가    05  2018\n",
      "말레이시아\n",
      "     영화명         개봉일  영화유형     국적  스크린수        매출액    관객수     장르     등급 month  \\\n",
      "3445  윌리  2018-10-25  개봉영화  말레이시아   162  178555800  22716  애니메이션  전체관람가    10   \n",
      "\n",
      "      year  \n",
      "3445  2018  \n",
      "멕시코\n",
      "            영화명         개봉일  영화유형   국적  스크린수        매출액    관객수   장르     등급  \\\n",
      "2716  언더 더 쎄임 문  2008-10-16  개봉영화  멕시코    67  360506500  58960  드라마  전체관람가   \n",
      "\n",
      "     month  year  \n",
      "2716    10  2008  \n",
      "모로코\n",
      "            영화명         개봉일  영화유형   국적  스크린수   매출액  관객수  장르        등급 month  \\\n",
      "11485  비마나 미스터리  2017-07-27  개봉영화  모로코     1  6000    1  SF  15세이상관람가    07   \n",
      "\n",
      "       year  \n",
      "11485  2017  \n",
      "몰타\n",
      "         영화명         개봉일  영화유형  국적  스크린수     매출액  관객수  장르        등급 month  \\\n",
      "8445  왕좌의 전쟁  2017-06-08  개봉영화  몰타     5  146000   63  액션  15세이상관람가    06   \n",
      "\n",
      "      year  \n",
      "8445  2017  \n",
      "몽고\n",
      "                영화명         개봉일  영화유형  국적  스크린수      매출액   관객수  장르        등급  \\\n",
      "5813  징기스칸 : 제국의 건설  2013-02-08  개봉영화  몽고     1  3817000  1821  전쟁  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "5813    02  2013  \n",
      "미국\n",
      "   영화명         개봉일  영화유형  국적  스크린수           매출액       관객수  장르        등급  \\\n",
      "6  아바타  2009-12-17  개봉영화  미국   912  128447097523  13624328  SF  12세이상관람가   \n",
      "\n",
      "  month  year  \n",
      "6    12  2009  \n",
      "베네수엘라\n",
      "        영화명         개봉일  영화유형     국적  스크린수      매출액  관객수  장르        등급 month  \\\n",
      "6878  신의 전사  2014-04-17  개봉영화  베네수엘라     5  3834000  552  액션  15세이상관람가    04   \n",
      "\n",
      "      year  \n",
      "6878  2014  \n",
      "베트남\n",
      "          영화명         개봉일  영화유형   국적  스크린수       매출액   관객수   장르        등급  \\\n",
      "4619  하얀 아오자이  2010-02-25  개봉영화  베트남    22  37242726  6229  드라마  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "4619    02  2010  \n",
      "벨기에\n",
      "            영화명         개봉일  영화유형   국적  스크린수          매출액      관객수     장르  \\\n",
      "586  새미의 어드벤쳐 2  2012-08-01  개봉영화  벨기에   486  10805555000  1452872  애니메이션   \n",
      "\n",
      "        등급 month  year  \n",
      "586  전체관람가    08  2012  \n",
      "보스니아\n",
      "        영화명         개봉일  영화유형    국적  스크린수       매출액   관객수   장르        등급  \\\n",
      "5269  그르바비차  2008-01-03  개봉영화  보스니아     1  22129000  3238  드라마  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "5269    01  2008  \n",
      "부탄\n",
      "         영화명         개봉일  영화유형  국적  스크린수      매출액   관객수   장르        등급 month  \\\n",
      "6159  바라: 축복  2014-06-05  개봉영화  부탄     8  9240000  1346  드라마  15세이상관람가    06   \n",
      "\n",
      "      year  \n",
      "6159  2014  \n",
      "불가리아\n",
      "            영화명         개봉일  영화유형    국적  스크린수      매출액   관객수      장르       등급  \\\n",
      "5928  포르노그래픽 러브  2013-08-09  개봉영화  불가리아     1  3447000  1651  멜로/로맨스  청소년관람불가   \n",
      "\n",
      "     month  year  \n",
      "5928    08  2013  \n",
      "브라질\n",
      "     영화명         개봉일  영화유형   국적  스크린수        매출액    관객수     장르     등급 month  \\\n",
      "3515  리노  2019-03-07  개봉영화  브라질   322  153622020  20513  애니메이션  전체관람가    03   \n",
      "\n",
      "      year  \n",
      "3515  2019  \n",
      "세르비아\n",
      "     영화명         개봉일  영화유형    국적  스크린수     매출액  관객수   장르       등급 month  year\n",
      "8992  클립  2013-10-31  개봉영화  세르비아     1  250000   50  드라마  청소년관람불가    10  2013\n",
      "스웨덴\n",
      "                    영화명         개봉일  영화유형   국적  스크린수         매출액     관객수  \\\n",
      "1702  창문 넘어 도망친 100세 노인  2014-06-18  개봉영화  스웨덴   300  1824795453  240990   \n",
      "\n",
      "        장르        등급 month  year  \n",
      "1702  어드벤처  15세이상관람가    06  2014  \n",
      "스위스\n",
      "      영화명         개봉일  영화유형   국적  스크린수        매출액    관객수   장르     등급 month  \\\n",
      "3098  비투스  2008-04-09  개봉영화  스위스     8  231058500  35354  드라마  전체관람가    04   \n",
      "\n",
      "      year  \n",
      "3098  2008  \n",
      "스페인\n",
      "         영화명         개봉일  영화유형   국적  스크린수         매출액     관객수  장르        등급  \\\n",
      "1056  더 임파서블  2013-01-17  개봉영화  스페인   408  4444581500  622572  액션  12세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "1056    01  2013  \n",
      "슬로바키아\n",
      "                영화명         개봉일  영화유형     국적  스크린수      매출액  관객수   장르  \\\n",
      "8015  우리 선생님을 고발합니다  2017-02-13  개봉영화  슬로바키아     1  1111000  130  코미디   \n",
      "\n",
      "            등급 month  year  \n",
      "8015  15세이상관람가    02  2017  \n",
      "싱가포르\n",
      "            영화명         개봉일  영화유형    국적  스크린수       매출액   관객수   장르        등급  \\\n",
      "4527  우리가족: 라멘샵  2019-01-31  개봉영화  싱가포르    44  59780350  6869  드라마  12세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "4527    01  2019  \n",
      "아랍에미리트연합국정부\n",
      "     영화명         개봉일  영화유형           국적  스크린수       매출액   관객수    장르        등급  \\\n",
      "5537  디브  2016-09-01  개봉영화  아랍에미리트연합국정부     5  12870400  2371  어드벤처  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "5537    09  2016  \n",
      "아르헨티나\n",
      "            영화명         개봉일  영화유형     국적  스크린수         매출액     관객수     장르  \\\n",
      "2069  장난감이 살아있다  2016-09-07  개봉영화  아르헨티나   294  1109230600  142577  애니메이션   \n",
      "\n",
      "         등급 month  year  \n",
      "2069  전체관람가    09  2016  \n",
      "아이슬란드\n",
      "              영화명         개봉일  영화유형     국적  스크린수         매출액     관객수     장르  \\\n",
      "940  토르: 마법망치의 전설  2012-02-09  개봉영화  아이슬란드   383  5529185000  765315  애니메이션   \n",
      "\n",
      "        등급 month  year  \n",
      "940  전체관람가    02  2012  \n",
      "아일랜드\n",
      "         영화명         개봉일  영화유형    국적  스크린수         매출액     관객수   장르        등급  \\\n",
      "1123  싱 스트리트  2016-05-19  개봉영화  아일랜드   494  4488377672  560578  드라마  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "1123    05  2016  \n",
      "에스토니아\n",
      "       영화명         개봉일  영화유형     국적  스크린수      매출액  관객수  장르        등급 month  \\\n",
      "6536  1944  2015-12-23  개봉영화  에스토니아     5  4420000  880  전쟁  15세이상관람가    12   \n",
      "\n",
      "      year  \n",
      "6536  2015  \n",
      "영국\n",
      "        영화명         개봉일  영화유형  국적  스크린수          매출액      관객수      장르  \\\n",
      "210  어바웃 타임  2013-12-05  개봉영화  영국   568  24867023000  3375735  멜로/로맨스   \n",
      "\n",
      "           등급 month  year  \n",
      "210  15세이상관람가    12  2013  \n",
      "오스트리아\n",
      "                   영화명         개봉일  영화유형     국적  스크린수        매출액    관객수   장르  \\\n",
      "2865  에곤 쉴레: 욕망이 그린 그림  2016-12-22  개봉영화  오스트리아    50  392999100  48985  드라마   \n",
      "\n",
      "           등급 month  year  \n",
      "2865  청소년관람불가    12  2016  \n",
      "우루과이\n",
      "          영화명         개봉일  영화유형    국적  스크린수       매출액   관객수   장르        등급  \\\n",
      "5230  아빠의 화장실  2009-06-25  개봉영화  우루과이     1  23732074  3378  드라마  12세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "5230    06  2009  \n",
      "우크라이나\n",
      "       영화명         개봉일  영화유형     국적  스크린수       매출액    관객수   장르       등급  \\\n",
      "4134  트라이브  2015-01-29  개봉영화  우크라이나    30  80321400  10368  드라마  청소년관람불가   \n",
      "\n",
      "     month  year  \n",
      "4134    01  2015  \n",
      "이라크\n",
      "       영화명         개봉일  영화유형   국적  스크린수      매출액   관객수   장르        등급 month  \\\n",
      "6402  킥 오프  2010-07-08  개봉영화  이라크     8  7457790  1025  드라마  12세이상관람가    07   \n",
      "\n",
      "      year  \n",
      "6402  2010  \n",
      "이란\n",
      "              영화명         개봉일  영화유형  국적  스크린수       매출액    관객수   장르        등급  \\\n",
      "3994  씨민과 나데르의 별거  2011-10-13  개봉영화  이란    17  89295500  11879  드라마  12세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "3994    10  2011  \n",
      "이스라엘\n",
      "     영화명         개봉일  영화유형    국적  스크린수        매출액    관객수   장르     등급 month  \\\n",
      "3022  누들  2008-08-14  개봉영화  이스라엘    11  269604449  40094  드라마  전체관람가    08   \n",
      "\n",
      "      year  \n",
      "3022  2008  \n",
      "이탈리아\n",
      "               영화명         개봉일  영화유형    국적  스크린수         매출액     관객수   장르  \\\n",
      "1855  콜 미 바이 유어 네임  2018-03-22  개봉영화  이탈리아   192  1657199988  198229  드라마   \n",
      "\n",
      "           등급 month  year  \n",
      "1855  청소년관람불가    03  2018  \n",
      "인도\n",
      "    영화명         개봉일  영화유형  국적  스크린수         매출액     관객수   장르     등급 month  \\\n",
      "867  블랙  2009-08-27  개봉영화  인도   248  6254367609  874913  드라마  전체관람가    08   \n",
      "\n",
      "     year  \n",
      "867  2009  \n",
      "인도네시아\n",
      "               영화명         개봉일  영화유형     국적  스크린수        매출액    관객수  장르  \\\n",
      "3477  레이드 : 첫번째 습격  2012-05-17  개봉영화  인도네시아   120  163320500  21705  액션   \n",
      "\n",
      "           등급 month  year  \n",
      "3477  청소년관람불가    05  2012  \n",
      "일본\n",
      "         영화명         개봉일  영화유형  국적  스크린수          매출액      관객수     장르  \\\n",
      "185  너의 이름은.  2017-01-04  개봉영화  일본   947  29248867156  3637122  애니메이션   \n",
      "\n",
      "           등급 month  year  \n",
      "185  12세이상관람가    01  2017  \n",
      "중국\n",
      "                 영화명         개봉일  영화유형  국적  스크린수          매출액      관객수  장르  \\\n",
      "291  적벽대전 2 : 최후의 결전  2009-01-22  개봉영화  중국   426  17910684413  2713031  액션   \n",
      "\n",
      "           등급 month  year  \n",
      "291  15세이상관람가    01  2009  \n",
      "체코\n",
      "        영화명         개봉일  영화유형  국적  스크린수        매출액    관객수     장르     등급 month  \\\n",
      "3153  태양 아래  2016-04-27  개봉영화  체코   120  206495400  33008  다큐멘터리  전체관람가    04   \n",
      "\n",
      "      year  \n",
      "3153  2016  \n",
      "칠레\n",
      "     영화명         개봉일  영화유형  국적  스크린수        매출액    관객수   장르        등급 month  \\\n",
      "3306  재키  2017-01-25  개봉영화  칠레    97  209835243  26758  드라마  15세이상관람가    01   \n",
      "\n",
      "      year  \n",
      "3306  2017  \n",
      "카자흐스탄\n",
      "         영화명         개봉일  영화유형     국적  스크린수      매출액  관객수  장르        등급 month  \\\n",
      "7382  엄마의 유산  2015-02-12  개봉영화  카자흐스탄     2  1496000  264  가족  12세이상관람가    02   \n",
      "\n",
      "      year  \n",
      "7382  2015  \n",
      "캐나다\n",
      "           영화명         개봉일  영화유형   국적  스크린수         매출액     관객수   장르       등급  \\\n",
      "1033  눈먼자들의 도시  2008-11-20  개봉영화  캐나다   238  4356692000  645218  드라마  청소년관람불가   \n",
      "\n",
      "     month  year  \n",
      "1033    11  2008  \n",
      "콜롬비아\n",
      "            영화명         개봉일  영화유형    국적  스크린수       매출액   관객수    장르     등급  \\\n",
      "5434  릴라와 마법의 책  2018-11-08  개봉영화  콜롬비아    24  14141000  2698  어드벤처  전체관람가   \n",
      "\n",
      "     month  year  \n",
      "5434    11  2018  \n",
      "쿠바\n",
      "             영화명         개봉일  영화유형  국적  스크린수      매출액  관객수     장르        등급  \\\n",
      "6467  체 게바라 : 뉴맨  2012-11-29  개봉영화  쿠바     3  6157000  961  다큐멘터리  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "6467    11  2012  \n",
      "크로아티아\n",
      "          영화명         개봉일  영화유형     국적  스크린수      매출액  관객수   장르       등급  \\\n",
      "6829  신부의 아이들  2014-04-17  개봉영화  크로아티아     5  4427000  581  코미디  청소년관람불가   \n",
      "\n",
      "     month  year  \n",
      "6829    04  2014  \n",
      "태국\n",
      "     영화명         개봉일  영화유형  국적  스크린수        매출액     관객수      장르        등급  \\\n",
      "2253  바디  2008-05-29  개봉영화  태국   160  716431000  110686  공포(호러)  15세이상관람가   \n",
      "\n",
      "     month  year  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2253    05  2008  \n",
      "터키\n",
      "      영화명         개봉일  영화유형  국적  스크린수        매출액    관객수   장르        등급 month  \\\n",
      "2963  아일라  2018-06-21  개봉영화  터키   371  331882900  43612  드라마  15세이상관람가    06   \n",
      "\n",
      "      year  \n",
      "2963  2018  \n",
      "팔레스타인\n",
      "               영화명         개봉일  영화유형     국적  스크린수       매출액   관객수   장르  \\\n",
      "5280  노래로 쏘아 올린 기적  2017-08-17  개봉영화  팔레스타인    13  20481200  3182  드라마   \n",
      "\n",
      "            등급 month  year  \n",
      "5280  12세이상관람가    08  2017  \n",
      "페루\n",
      "                 영화명         개봉일  영화유형  국적  스크린수        매출액    관객수     장르  \\\n",
      "2343  로덴시아: 마법왕국의 전설  2013-10-02  개봉영화  페루   221  632768500  98575  애니메이션   \n",
      "\n",
      "         등급 month  year  \n",
      "2343  전체관람가    10  2013  \n",
      "포르투갈\n",
      "             영화명         개봉일  영화유형    국적  스크린수       매출액   관객수  장르       등급  \\\n",
      "4849  나폴레옹 토레스전투  2013-11-14  개봉영화  포르투갈     5  10528000  5032  전쟁  청소년관람불가   \n",
      "\n",
      "     month  year  \n",
      "4849    11  2013  \n",
      "폴란드\n",
      "       영화명         개봉일  영화유형   국적  스크린수        매출액    관객수      장르        등급  \\\n",
      "3304  콜드 워  2019-02-07  개봉영화  폴란드    65  220783373  26784  멜로/로맨스  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "3304    02  2019  \n",
      "프랑스\n",
      "       영화명         개봉일  영화유형   국적  스크린수          매출액      관객수  장르       등급  \\\n",
      "354  테이큰 2  2012-09-27  개봉영화  프랑스   682  17581098553  2308596  액션  청소년관람불가   \n",
      "\n",
      "    month  year  \n",
      "354    09  2012  \n",
      "핀란드\n",
      "                영화명         개봉일  영화유형   국적  스크린수         매출액     관객수     장르  \\\n",
      "1346  니코: 산타비행단의 모험  2012-12-25  개봉영화  핀란드   306  2786834000  407264  애니메이션   \n",
      "\n",
      "         등급 month  year  \n",
      "1346  전체관람가    12  2012  \n",
      "필리핀\n",
      "       영화명         개봉일  영화유형   국적  스크린수    매출액  관객수  장르       등급 month  year\n",
      "9224  무간지옥  2018-04-05  개봉영화  필리핀     5  57000   30  범죄  청소년관람불가    04  2018\n",
      "한국\n",
      "    영화명         개봉일  영화유형  국적  스크린수           매출액       관객수   장르        등급  \\\n",
      "2  극한직업  2019-01-23  개봉영화  한국  1978  139647979516  16264944  코미디  15세이상관람가   \n",
      "\n",
      "  month  year  \n",
      "2    01  2019  \n",
      "헝가리\n",
      "         영화명         개봉일  영화유형   국적  스크린수        매출액    관객수   장르       등급  \\\n",
      "3426  사울의 아들  2016-02-25  개봉영화  헝가리    50  185784643  23148  드라마  청소년관람불가   \n",
      "\n",
      "     month  year  \n",
      "3426    02  2016  \n",
      "호주\n",
      "          영화명         개봉일  영화유형  국적  스크린수         매출액     관객수     장르     등급  \\\n",
      "1899  해피 피트 2  2012-02-02  개봉영화  호주   315  1459727000  185420  애니메이션  전체관람가   \n",
      "\n",
      "     month  year  \n",
      "1899    02  2012  \n",
      "홍콩\n",
      "       영화명         개봉일  영화유형  국적  스크린수         매출액     관객수  장르        등급  \\\n",
      "1513  검우강호  2010-10-14  개봉영화  홍콩   343  2281559914  318157  액션  15세이상관람가   \n",
      "\n",
      "     month  year  \n",
      "1513    10  2010  \n"
     ]
    }
   ],
   "source": [
    "nattop = dict(df.groupby('국적').매출액.max())\n",
    "for n in nattop:\n",
    "    if nattop[n]!=0:\n",
    "        print(n)\n",
    "        print(df[(df.국적==n)&(df.매출액==nattop[n])])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SF\n",
      "6    아바타\n",
      "Name: 영화명, dtype: object\n",
      "가족\n",
      "575    토이 스토리 3\n",
      "Name: 영화명, dtype: object\n",
      "공연\n",
      "1457    러브 유어셀프 인 서울\n",
      "Name: 영화명, dtype: object\n",
      "공포(호러)\n",
      "140    연가시\n",
      "Name: 영화명, dtype: object\n",
      "기타\n",
      "1468    브링 더 소울 : 더 무비\n",
      "Name: 영화명, dtype: object\n",
      "다큐멘터리\n",
      "122    님아, 그 강을 건너지 마오\n",
      "Name: 영화명, dtype: object\n",
      "드라마\n",
      "4    국제시장\n",
      "Name: 영화명, dtype: object\n",
      "멜로/로맨스\n",
      "65    늑대소년\n",
      "Name: 영화명, dtype: object\n",
      "뮤지컬\n",
      "358    맘마미아!2\n",
      "Name: 영화명, dtype: object\n",
      "미스터리\n",
      "61    곡성\n",
      "Name: 영화명, dtype: object\n",
      "범죄\n",
      "28    검사외전\n",
      "Name: 영화명, dtype: object\n",
      "사극\n",
      "1    명량\n",
      "Name: 영화명, dtype: object\n",
      "서부극(웨스턴)\n",
      "64    좋은 놈, 나쁜 놈, 이상한 놈\n",
      "Name: 영화명, dtype: object\n",
      "성인물(에로)\n",
      "5864    아메리카파이: 19금 여배우들\n",
      "Name: 영화명, dtype: object\n",
      "스릴러\n",
      "86    숨바꼭질\n",
      "Name: 영화명, dtype: object\n",
      "애니메이션\n",
      "24    겨울왕국\n",
      "Name: 영화명, dtype: object\n",
      "액션\n",
      "5    어벤져스: 엔드게임\n",
      "Name: 영화명, dtype: object\n",
      "어드벤처\n",
      "12    알라딘\n",
      "Name: 영화명, dtype: object\n",
      "전쟁\n",
      "58    인천상륙작전\n",
      "Name: 영화명, dtype: object\n",
      "코미디\n",
      "2    극한직업\n",
      "Name: 영화명, dtype: object\n",
      "판타지\n",
      "3    신과함께-죄와 벌\n",
      "Name: 영화명, dtype: object\n"
     ]
    }
   ],
   "source": [
    "gentop = dict(df.groupby('장르').매출액.max())\n",
    "for g in gentop:\n",
    "    if gentop[g]!=0 and g!='0':\n",
    "        print(g)\n",
    "        print(df[(df.장르==g)&(df.매출액==gentop[g])].영화명)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>영화명</th>\n",
       "      <th>개봉일</th>\n",
       "      <th>영화유형</th>\n",
       "      <th>국적</th>\n",
       "      <th>스크린수</th>\n",
       "      <th>매출액</th>\n",
       "      <th>관객수</th>\n",
       "      <th>장르</th>\n",
       "      <th>등급</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>명량</td>\n",
       "      <td>2014-07-30</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>1587</td>\n",
       "      <td>135748398910</td>\n",
       "      <td>17613682</td>\n",
       "      <td>사극</td>\n",
       "      <td>15세이상관람가</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>극한직업</td>\n",
       "      <td>2019-01-23</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>1978</td>\n",
       "      <td>139647979516</td>\n",
       "      <td>16264944</td>\n",
       "      <td>코미디</td>\n",
       "      <td>15세이상관람가</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>신과함께-죄와 벌</td>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>1912</td>\n",
       "      <td>115698654137</td>\n",
       "      <td>14410754</td>\n",
       "      <td>판타지</td>\n",
       "      <td>12세이상관람가</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>국제시장</td>\n",
       "      <td>2014-12-17</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>한국</td>\n",
       "      <td>966</td>\n",
       "      <td>110828014630</td>\n",
       "      <td>14245998</td>\n",
       "      <td>드라마</td>\n",
       "      <td>12세이상관람가</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>어벤져스: 엔드게임</td>\n",
       "      <td>2019-04-24</td>\n",
       "      <td>개봉영화</td>\n",
       "      <td>미국</td>\n",
       "      <td>2835</td>\n",
       "      <td>122182694160</td>\n",
       "      <td>13934592</td>\n",
       "      <td>액션</td>\n",
       "      <td>12세이상관람가</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          영화명         개봉일  영화유형  국적  스크린수           매출액       관객수   장르  \\\n",
       "1          명량  2014-07-30  개봉영화  한국  1587  135748398910  17613682   사극   \n",
       "2        극한직업  2019-01-23  개봉영화  한국  1978  139647979516  16264944  코미디   \n",
       "3   신과함께-죄와 벌  2017-12-20  개봉영화  한국  1912  115698654137  14410754  판타지   \n",
       "4        국제시장  2014-12-17  개봉영화  한국   966  110828014630  14245998  드라마   \n",
       "5  어벤져스: 엔드게임  2019-04-24  개봉영화  미국  2835  122182694160  13934592   액션   \n",
       "\n",
       "         등급 month  \n",
       "1  15세이상관람가    07  \n",
       "2  15세이상관람가    01  \n",
       "3  12세이상관람가    12  \n",
       "4  12세이상관람가    12  \n",
       "5  12세이상관람가    04  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "year\n",
      "1962       1\n",
      "1968       1\n",
      "1971       3\n",
      "1972       3\n",
      "1973       4\n",
      "1974       2\n",
      "1975       1\n",
      "1976       1\n",
      "1977       3\n",
      "1978       4\n",
      "1979      15\n",
      "1980     112\n",
      "1981     120\n",
      "1982     128\n",
      "1983     127\n",
      "1984      98\n",
      "1985     116\n",
      "1986     133\n",
      "1987     160\n",
      "1988     236\n",
      "1989     336\n",
      "1990     358\n",
      "1991     362\n",
      "1992     412\n",
      "1993     424\n",
      "1994     434\n",
      "1995     365\n",
      "1996     372\n",
      "1997     328\n",
      "1998     284\n",
      "1999     273\n",
      "2000     327\n",
      "2001     285\n",
      "2002     297\n",
      "2003     257\n",
      "2004     267\n",
      "2005     297\n",
      "2006     345\n",
      "2007     391\n",
      "2008     380\n",
      "2009     361\n",
      "2010     427\n",
      "2011     439\n",
      "2012     631\n",
      "2013     905\n",
      "2014    1095\n",
      "2015    1202\n",
      "2016    1569\n",
      "2017    1764\n",
      "2018    1863\n",
      "2019    1368\n",
      "Name: 영화명, dtype: int64\n",
      "year\n",
      "2009    3.204051e+09\n",
      "2011    2.792910e+09\n",
      "2008    2.642987e+09\n",
      "2010    2.545375e+09\n",
      "2012    2.305891e+09\n",
      "2013    1.725861e+09\n",
      "2014    1.534787e+09\n",
      "2015    1.375233e+09\n",
      "2016    1.092846e+09\n",
      "2019    1.025367e+09\n",
      "2017    1.022192e+09\n",
      "2018    9.292399e+08\n",
      "2007    1.164132e+05\n",
      "Name: 매출액, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# 연도별 개봉영화 갯수\n",
    "df['year'] = df.개봉일.apply(lambda x:x.split('-')[0])\n",
    "\n",
    "print(df.groupby('year').영화명.count())\n",
    "# 연도별 영화 평균 매출\n",
    "print(df.groupby('year').매출액.mean().sort_values(ascending=False).head(13))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12720c48>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('year').영화명.count().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12b9a608>"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('year').매출액.sum().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xf073908>"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('year').매출액.mean().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12cf6948>"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.국적=='한국'].groupby('year').매출액.mean().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x14abd988>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LczkXmVmHu18I3EFcieDuT5jZLOYZT/RHMuYVgC2Bm8zsauBTwGrufoCZja1qjzuBqWb2FeCfgRVzX12Z2zyNOEHclOv/LLAncDVxMgZ4BFg5//8WMM3M9svt7wD2yZjG57Jx97fN7AViJPvpXM/7XbTHBOCybI+xlfbItn8MuL6LNrnF3f9co01uBh7ooj0eBN7voj3+SFx11mqPm4AzO7dHxvhhLrNWm/yR+BBlrTaZSANaMhK3efNGawOPAe/ma4sBw4BbzWwcsKTFpfBE4N+AfYHHzewS4sCclMur1Lst61XmjbYGlgM2AFYDds4D+CUzW444CSwDXOfu04mOvH4eELcC3wX2dvff5skB4AoiIdxnZicC1xEH89pEojyW2LnfBG4ARpjZCWa2HXFWXYdIAjcBnzazQy0umTbIbVgdoHqbzew4i/nblcmEVdlmM9uZGB1U5ggr2/xj4gRyRC7vceDlqu2eDJzv7mOIjvczYE3iE7ezgZ+5+wfEZegGwEVEAgJ4x93nZptcAexgMee4jbtfQYxqKu1xHHFp+AViNDLMzE6sao8RwA/d/QZgeTP7Ya7jFeKgPNDdH87RU3Wb/NTMvkt0+jfNbAGLucQvAFsAqwKbmdm2Ve0xg0ieuPtjwMSq9ngL+HW2x9vA8VXtMR34abbHx8Co7CO3AYsQJ4Nfd+4jZrafmW3m7n8AniYS+6JEgpiY+2AwcHJVe6wNHJXxrWRmR+YyP8722MHdn8/2eDXb43AzOy7bYutsi4HAKhZzyD8n5unNzL5AHB8HEpf1u7v77GzbZ8xsdeBd4kR9jrvfAjxMJLDViKuHd4F9cntnZv+4PvfZoGz786ra42HgQDM7zN3vJfq+AYsBRxJ9ejBwPzAkj5d9iKs+gM2JK6e1qtpjVsaxJvAUsGBVe+xrZnuY2Sa53R9YqLTJMmb2L8B6mXcqbfLvuR3ruPtrVe3xHpF4jyaO6eeq2mNP4sS5UcY0MNvjOuKk+aeM98yq9pgA7Gxm2+Tvd+e2W7bfUdmHPsjX18422TvbZEa2SUNa8mEfM7sOuNndTzGzBdx9Tr6+CNEgbxGdeUt3fyUbfw5wIdF4U4FNPOZLjWi4+2rU6yDml6aRc1PA4cQoZiCRrF4n5qH2Jc70dxCdbCVgeSIBbOXuUyzuUjvR6K8B97r7qRn7MOLSbXjWGwZ8kUgARxIH7PZEx1sV+A/iwD6WGE1cn7HPIaYdZuW6riGS0mzgSHc/K9e3MHFwPJf1j3H3s7NsIeByolMMB37h7r8zsz8QnWRBolNuBZyS7bERcaBcSpy8VyVOADcDtxN/Yvhq4iQ0CNg+28Sy3pPEXPCV7n6dma2Sbbph7vbPElNgN+a2TyGS1kxihH1LtsX/zf34eSJBDgHud/fv5LZZxrFVtskN7r57vj4u99t0Yurj89kPPpXbNSiX94C7721mF+a+Ggi8BGySZfua2frZtpcQyWYV4CZ3P8TMbiEOxDWJpLwmcdW4V1WMjxJTLx8TJ71DLKZr7sn+85mM9fNE4plDnPzfJ07k1wNn5/55AhiV+3MkcfL4CdGnrib68D7Ewb2tu0/IGP6c2zWKGNEd4u7vWkwXXAEskMu7A/gRMX0wLPf/E8CXiePqSOLq4FXiqnSBjP8aYvrpNOadpCz/vZk4YVZitFzGY8SAAWKQtFGu73PEaPok4jiZlft4CnEcHJr76VKi36+c/WNR4oQyzcwGZDueR9zzeJM46b2Y7QExkn6eOOZ3d/eXsuyc3F9Tsh+MBs7IffQ+cbysQpzc3wTWyuWcnv1jYWJqdXa20WNE7lgkl7Gru7+XOWRu7t83gOPd/QUAi+ma/Yg+Oij7wU7EPaJ9iX59e277PwNHe+15+b/T9JG4xV39h4h5xSuAMy3mnIxotJWJjv8gkdQgGua8/Pdx4kAYWbXYc4iG+lu9XN55xIjifmBHYv5rJnFpPou4QXUwkZBH5Wh8C2K08RlgKWLHVs56c3OZ7xNts66Z7ZhlbxEd7Z+IS6yngE3dfbq7H0mM7mYRZ+/LiB38UW7LIvmzJnEFsKTHnN03c9lPEMntXcu708TJbHmig/+cuByrlO1CjMyXBM4H3MyWIC7nrifmng8D/iu3aYkcIX096yyR9ZbMmE/P7R1AJPcrM14yxspVzI3A4mY2OEcy3yCS/lDi4BwEdLj7T4EXcvtXqGrv04kEv1O2xbLEVMVyZnZ5rm+njPkxYtQ9KMt2IkbUCxAjp6eJpATR4ZciTl475fIuJAYFVxNzpvu7+9rAimZ2cV65bEcknoGVmCxuim1DHOirEwfwdsDSnWKcCsz2mMscbmaXEn1ryYxjUXJayt1/kfv9r8QB/K9EX/4W8B2iTw3Nfbo9kUx/TCS+t4g++QRxg3f3TGb/lLEbcSPwz8CRWbZu7r9BGfvLxL2pU4BTgec9buaNJI6N7xMng3WIwdBiGccHxEh0n4x75SzfipierI7xQuLKeXK+PjPbcXXieNk8l7dfbs+03N7tiIHPMHefQfS37fP9mxAj3WUBMqHtRhxbk4kb5ZXpTM+yVXL7ryWn7/L1hXMbfgBc4O5Tsz1uzljfJo7phfIq9Gmib47IbfwTsELml92IgdXGuR/uzH1BDlh3I46X9YBtcgBIbv+3gC8RN1ZvAAa5+wx3P9Pdf5ttdSpwaSMJHFowEs9R9dj89UZ3v8DisaxBxAF1EDGntDgxbfEzotNsnXUeJDakUjaI6AyjO9U7nZjf+j3RCV8nLnN+Sly6beHul2ey3zjrHE90wm2B/0c09MjOcWS9ZYgdWF1vO+KGyBtEstuBGF1WkvcYYpS/PJEQBxAd8K/E6GIkcaIyYs7rMOBcYmeukO834mA5nOgc5xAJqnPZ74ibS4OzbA5xwHyfuFy7mzhJDui0vrHECGu5LFuQGIX/lRiVrZ/Lqq5zFJFUh2adgUTSPwE4OeP8dJZ1ZIyHAf8NnObut5nZZrlvzidO1IcQB9MEM9uUGA1eQ4zYTwZOdvfbq8oeyL6wJZH4luhUZwxwrLvfknX+nThAbwD2J6ZSXqha3vgsP4sYLd2aZccQSeZRos+NdfdHa9TbH7i8Kv6jM5ah2fYPEFdJR+XrlxP9/0R3HwdgcWNsVrbT2cT0xq1ZdgJxHCxIjKTHu/vEfH3p3L5HgMPd/fdVdZYiRvHXEieQcVVllXpnZfs+WKOsVoxziAHBWRnjbTViPBl4Ma8ETiFOUicS95rOcPcbs86Jua5DiWQ2izjBzybyxfM5IFmIONGPyrJr88p8EHGynEOMlqvLFs9+cHnuh9nZDu8Qx/ae2W/ezvZ8xeKxz0VzO75UY107ESeZEZ1iXJzIH6sTV1vV9SrLXItI8pUryhcsHpFdmThu1+9UryO39+2cOmpIU25sZqIcTZzNHyamOPYAXs2y6ku337u7WzyVsChxMD8I3JfzdpjZx53K7gEuq6pXuflzb45oT8nXNyXOtA/muio3Fl7N5Y2uLC/PqDOryirruj/rvVuj3t1VMXZk2UG5fa8B3ybO3tOIUdjzRGf9FXE2n0wc1KOJDroCMcqp1KmUjSA62xeybGCnessRo+DO9UYSnfc/a5StSZxc9ugixlOJDvRuVZ01iJNVreXtSiTuQ2qUrUF04DuBLTLJbUKMMDcmTrgvAjtazBVvwrxpr8eJUeuWmfj3IKYGFiZOntcSB1bnOlcBm5vZxlVlQ4mT6BvETc/ZVWWrEyema4Ev5vzqJsSodaPcnxOJJwl2qKq3WtZ7oyr+SowrZ5tuQIxqNyGuGtYmEvoZwAAzG07ML0/K9hhBDCqWNrPViKcx7ss2HkckugHZ5z4gkt5wIlnPrVreB9nuw3N/DuhUNiJ/xhFz05Nr1KsV4xeyfBywTKcYdyHmh4cAk83sfaKfb5L75hJgsarlvZ8xjHT38QBm9i5x7B6Xx/50dz/QzCYRo+RNiRvtM4GpeXVNxl8p+5hIzt/MY/5zRL9djbh6e93dTzCzUcQo+L8tbkh/5O4HAu/kALR6XR+6+6G5rklVMX4EzPS4KTqJOGFV6s0AZrn7/lk2Pct+njFOc/fRucyp2U6bmNk3gAHufjw91OeReCbpa5j33O0rGfgSxA77FtFJ1ieS+/3ufm3We5qY53uA6PyP1isjOss1xGXYgkSneqS3y2tS2XQiwb9BzGU+nr8/RCSQzxCJ/i7gYOKK42PiQL8gt+nxGmUXEgmmVlm9eo2WNSPGemWnE4l9AnFy2YM4IFcnRkuzuyg7l0haE4irkMeIkdtgYprqwYy3c53ZuT09XVdv6lWX1Yrxgayzc27LKrkvVySeqHmfefdo1mbe9NszxFTL68Tc7WbEKPzJbuq0u6wZMY4jHr88PY+l8cybvrqOeHy0V2XEiegPRN4ZRQyWznf3/2j2uvpSBvGIKzEVORLYy/Mb1HqiGXPiaxKXUaOJy+XZxPz1RGIEuRTRmN/If7fLs+SaxKj9ImI+eEZ3ZcRB8SJxKXslMefa6+U1qeziLJtOjE52J0ZfU3Lbf0/M2W5GHOSDiZ25MzHq3b2Lssl1yurVa6SsWTF2VbYLkcxXI27a3E3MIQ8jpkI66pRZli1F3OQZm7/fke/5oIs6w3u5rt7Uq5R1FeOHxJXBzHz9O8RJ+Y1soxnEQGQqMdr+TZYNIZLjB8Sx8z3iOKpXp91lzYhxF2JqZrjFUyrLMO8R1G2IqZtel2VMrxHH5kLEQHLhVqyrj2Uwb8plj94kcOhDErd4dGcgceNtPTNb3t0nE3f8FyZ21nXEJc5ReWPtWWIua3jWW4WYK3qrm7Ln8rWViJsFU4mbl0/3cnmtKKvE6MTo62yis96VdTqI+eCpwEHufn/V8tpV1q4Y72Pe96yul+tbEdivql5XZc/l8lbP8inAVzPG3iyvFWXdxbgPcRN5GrCvx2OvE4n55uWI+zq3E08jPUoknPeJ/v0X4ubv/sRcf1d16i2vFWXNjPExYmrtImIeemdiULFnJrLelk3M8q2IE8yrxODk9hasqy9lY4EVLJ5keYR4EqzS33rOe/GdbsQI5iRgu/z934j5sdFER76GGIksXKPs6l6UvU48oXF6/t7X5bWi7HXiLFsrxnrt0c6ydsdYaatP9aCsel9/twnLa0VZvRgfIC7pLyOuVCqfa6g8IvlU/ltddiUxMn2BSJSN1Gl3WStjvKpJZVcST2jVi7FZ6+pVWebLhYib58N6k387//T2xub3iDnud83sI3c/z8wmEqO7PxKP+w0ANmtC2fbEPPvSxAj4R8SUSivW1dcYl1SMNcs2b7Cs1r5+qQ/La0VZvRjvIQ7iDiLp70/cVLuYSOxO3Ejen3gMbQEi8d9K3AReiTghzOimTrvLSorxLuIGc3+M8WIz+z/EI5CVp9b6rLdJfDwx0tiS+ARZB/FhiBkWH1LZnHheeQszm9uXMuKydjgx8n8439OSdSlGxdjHGBclHvH8EfE45DruPtrM3iEeQ5tLPDExp6qsMi33VeJRw70bqNPuMsXYvLJdiKdzjnT3STRBb5P46x4PtV9h8eGCLxKj8pHECH0vd3/LzHbvaxlxJ3td4pnsLVq5LsWoGPsY43rEs8jvEHOylUe/JhE3R39EXGpXlz1DTM9cla/v1UCddpcpxuaVfUR8nqF5H9Dp7TwM+Xhi/n8rYm70AeKpjaaXtXNdilEx9jbGTsfIwUQyubnRst7UaXdZf4mj9Bib9dO3yvOeM9+BuMxcq1Vl7VyXYlSMfY2R+BzDk8SHx9borqw3ddpd1l/iKD3GZv80ZyHxQH3NAJtd1s51KUbF2NsYicvoX1Jj5NVVWW/qtLusv8RReozN/GnJXzEUETCzge4+qydlvanT7rL+EkfpMTaLkriISMGa8bF7ERH5hCiJi4gUTElcRKRgSuIiIgVTEhcRKZiSuIhIwZTEZb5gZuMtvgIMM1vDzC41s7PN7DYzu8XMVs2yI8zsVjN7xMy+mq9dYGbHmNkDFn/jWaQYSuIyvziD+AYdgAOJb39/1t2/RHwP6FFZdp67b0V8acOhVfXfcPeNPP6wm0gxevtXDEX6mxuBw8xsEeKvCb5AfJHxTlk+yeJPJn8///LmLOKr5CrubWu0Ik2iJOqygPoAAACUSURBVC7zBXd3MxtHfHHxJcSXX9zn7hcBZHLfEFjW45vUPwt8uWoRs9sds0gzaDpF5idjga8AlxLfSL+jmd1hZtcBGxFTLGuZ2W38fQIXKZb+dorMN/LLG0a6+9GfdCwi7aLpFJkvmNlpwBrE9xmK/MPQSFxEpGCaExcRKZiSuIhIwZTERUQKpiQuIlIwJXERkYL9L1ym3hSQYsd2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.국적=='미국'].groupby('year').매출액.mean().plot(kind='bar', rot=45)\n"
   ]
  },
  {
   "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",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}