ex02_Pandas.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d45abd45",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d9ff76d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    2\n",
       "2    3\n",
       "3    4\n",
       "4    5\n",
       "dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pandas의 Series 생성\n",
    "series1 = pd.Series([1,2,3,4,5])\n",
    "series1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "057afd27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "일    1\n",
       "이    2\n",
       "삼    3\n",
       "사    4\n",
       "오    5\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인덱스 지정해서 Series 생성\n",
    "series2 = pd.Series([1,2,3,4,5], index = ['일','이','삼','사','오'])\n",
    "series2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f4a44b83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "서울    9904312\n",
       "부산    3448737\n",
       "인천    2890451\n",
       "대구    2466052\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population = pd.Series([9904312,3448737,2890451,2466052],index = ['서울','부산','인천','대구'])\n",
    "population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1ba3ecaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([9904312, 3448737, 2890451, 2466052], dtype=int64)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Series 정보 확인\n",
    "# 값, 인덱스, 타입\n",
    "# values, index, dtype\n",
    "population.values # 값 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "601cec74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['서울', '부산', '인천', '대구'], dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population.index # 인덱스 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "27fca6e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int64')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population.dtype # 타입 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ebab3e6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "서울    9904312\n",
       "부산    3448737\n",
       "인천    2890451\n",
       "대구    2466052\n",
       "Name: 인구, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Series의 컬럼 이름 지정\n",
    "population.name = '인구'\n",
    "population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6800cac9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "서울    9904312\n",
       "부산    3448737\n",
       "인천    2890451\n",
       "대구    2466052\n",
       "Name: 인구, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인덱스 이름 설정\n",
    "population.index.name = '도시'\n",
    "population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e4a5d83a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "서울    9.904312\n",
       "부산    3.448737\n",
       "인천    2.890451\n",
       "대구    2.466052\n",
       "Name: 인구, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 시리즈 연산\n",
    "population / 1000000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ed470c06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3448737"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 시리즈 인덱싱\n",
    "population[1] # 인덱스 번호 사용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "50160ffe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3448737"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population['부산'] # 지정한 인덱스 사용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7a305c27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "인천    2890451\n",
       "서울    9904312\n",
       "인천    2890451\n",
       "Name: 인구, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 리스트를 활용한 인덱싱\n",
    "# 순서 횟수에 상관 없음\n",
    "population[['인천','서울','인천']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "47d72ed4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "서울    9904312\n",
       "대구    2466052\n",
       "부산    3448737\n",
       "Name: 인구, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population[[0,3,1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "58428895",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "서울    9904312\n",
       "부산    3448737\n",
       "인천    2890451\n",
       "Name: 인구, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Boolean 인덱싱\n",
    "# 인구수가 250만 이상인 도시의 정보 출력\n",
    "population[population >= 2500000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "81101d0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "부산    3448737\n",
       "인천    2890451\n",
       "대구    2466052\n",
       "Name: 인구, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인구수가 500만 이하의 도시 정보 출력\n",
    "population[population <= 5000000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "097ef016",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "부산    3448737\n",
       "인천    2890451\n",
       "Name: 인구, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인구수가 250만 이상이고 500만 이하의 도시 정보 출력\n",
    "population[(population >= 2500000) & (population <= 5000000)] # and 연산자를 인식하지 못함"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "180e494a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# population[population<=5000000][population>=2500000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4dd3cfd4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "부산    3448737\n",
       "인천    2890451\n",
       "Name: 인구, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 슬라이싱\n",
    "# 인덱스 번호로 슬라이싱[첫번째 수 : 끝 수 +1]\n",
    "# 지정한 인덱스로 슬라이싱[첫번째 값 : 끝나는 값]\n",
    "population['부산':'인천']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "360f6064",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "서울    9631482\n",
       "부산    3393191\n",
       "인천    2632035\n",
       "대전    1490158\n",
       "dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 딕셔너리 객체로 Series 생성\n",
    "# 인덱스 부여가 자동으로 완성\n",
    "# key = 인덱스\n",
    "# values = 값\n",
    "data = {'서울':9631482,'부산':3393191, '인천':2632035, '대전':1490158}\n",
    "population2 = pd.Series(data)\n",
    "population2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5792d833",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "대구         NaN\n",
       "대전         NaN\n",
       "부산     55546.0\n",
       "서울    272830.0\n",
       "인천    258416.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# population2 : 2010년 인구\n",
    "# population : 2015년 인구\n",
    "# 2015년도와 2010년도의 인구 증가를 계산\n",
    "ds = population - population2 # 인덱스의 순서와 상관없이 인덱스 값이 같은 것들끼리 계산\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d515dfef",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['서울', '부산', '인천', '대구'], dtype='object', name='도시')\n",
      "Index(['서울', '부산', '인천', '대전'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(population.index)\n",
    "print(population2.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "592fe0c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# notnull() : null이 아니면 True, null이면 False\n",
    "# isnull() : null이 아니면 False, null이면 True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5f319db8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "부산     55546.0\n",
       "서울    272830.0\n",
       "인천    258416.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[ds.notnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "913e6992",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "대구   NaN\n",
       "대전   NaN\n",
       "dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[ds.isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "276947cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "부산    1.610619\n",
       "서울    2.754659\n",
       "인천    8.940335\n",
       "dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2015년도와 2010년도의 인구 증가율 계산\n",
    "# 단, 없는값은 출력 X\n",
    "# (2015년 인구 - 2010년 인구) /2010년 인구 * 100\n",
    "rs = (population - population2) / population * 100\n",
    "rs[rs.notnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "536b436b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "대구    1.410000\n",
       "대전         NaN\n",
       "부산    1.610619\n",
       "서울    2.754659\n",
       "인천    8.940335\n",
       "dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Series값 갱신 추가 삭제\n",
    "# 대구 값 갱신\n",
    "rs['대구'] = 1.41\n",
    "rs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "49762e1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "대구    1.410000\n",
       "대전         NaN\n",
       "부산    1.610619\n",
       "서울    2.754659\n",
       "인천    8.940335\n",
       "광주    2.080000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 값 추가\n",
    "rs['광주'] = 2.08\n",
    "rs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a1519de0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "대구    1.410000\n",
       "부산    1.610619\n",
       "서울    2.754659\n",
       "인천    8.940335\n",
       "광주    2.080000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del rs['대전']\n",
    "rs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2184146e",
   "metadata": {},
   "source": [
    "## DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "87d840b7",
   "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>2015</th>\n",
       "      <th>2010</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3393191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2466052</td>\n",
       "      <td>2431774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      2015     2010\n",
       "0  9904312  9631482\n",
       "1  3448737  3393191\n",
       "2  2890451  2632035\n",
       "3  2466052  2431774"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 딕셔너리를 통해서 DataFrame 만들기\n",
    "# 키 값이 컬럼\n",
    "data = {\n",
    "    \"2015\" : [9904312,3448737,2890451,2466052],\n",
    "    \"2010\" : [9631482,3393191,2632035,2431774]\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a18d00af",
   "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>2015</th>\n",
       "      <th>2010</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3393191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>2466052</td>\n",
       "      <td>2431774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015     2010\n",
       "서울  9904312  9631482\n",
       "부산  3448737  3393191\n",
       "인천  2890451  2632035\n",
       "대구  2466052  2431774"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DataFrame 생성 후 index 설정\n",
    "df.index = ['서울','부산','인천','대구']\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5cbba8bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\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>서울</th>\n",
       "      <th>부산</th>\n",
       "      <th>인천</th>\n",
       "      <th>대구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>9904312</td>\n",
       "      <td>3448737</td>\n",
       "      <td>2890451</td>\n",
       "      <td>2466052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>9631482</td>\n",
       "      <td>3393191</td>\n",
       "      <td>2632035</td>\n",
       "      <td>2431774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           서울       부산       인천       대구\n",
       "2015  9904312  3448737  2890451  2466052\n",
       "2010  9631482  3393191  2632035  2431774"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DataFrame 생성 시 index 지정, column 지정\n",
    "# 딕셔너리는 행 방향으로 벨류값이 넣어지고 리스트는 열방향으로 벨류값이 들어감\n",
    "data = [\n",
    "    [9904312,3448737,2890451,2466052],\n",
    "    [9631482,3393191,2632035,2431774]\n",
    "]\n",
    "\n",
    "ind = ['2015','2010']\n",
    "col = ['서울','부산','인천','대구']\n",
    "\n",
    "df2 = pd.DataFrame(data, index = ind, columns = col)\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "94cd0f08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\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>2015</th>\n",
       "      <th>2010</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3393191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>2466052</td>\n",
       "      <td>2431774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015     2010\n",
       "서울  9904312  9631482\n",
       "부산  3448737  3393191\n",
       "인천  2890451  2632035\n",
       "대구  2466052  2431774"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = [\n",
    "    [9904312,9631482],\n",
    "    [3448737,3393191],\n",
    "    [2890451,2632035],\n",
    "    [2466052,2431774]\n",
    "]\n",
    "col = ['2015','2010']\n",
    "ind = ['서울','부산','인천','대구']\n",
    "df2 = pd.DataFrame(data, index = ind, columns = col)\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e88e2007",
   "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>서울</th>\n",
       "      <th>부산</th>\n",
       "      <th>인천</th>\n",
       "      <th>대구</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>9904312</td>\n",
       "      <td>3448737</td>\n",
       "      <td>2890451</td>\n",
       "      <td>2466052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>9631482</td>\n",
       "      <td>3393191</td>\n",
       "      <td>2632035</td>\n",
       "      <td>2431774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           서울       부산       인천       대구\n",
       "2015  9904312  3448737  2890451  2466052\n",
       "2010  9631482  3393191  2632035  2431774"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 전치\n",
    "# T : 데이터프레임의 속성, 데이터 프레임에만 사용\n",
    "# trainspose() : 전치가 가능한 모든 데이터에 적용 가능\n",
    "df2 = df2.transpose() \n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "a7ac4cdc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 데이터프레임의 정보 확인\n",
    "# 값 확인 : values\n",
    "# 인덱스 확인 : index\n",
    "# 컬럼 확인 : columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "57b6ced4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9904312, 3448737, 2890451, 2466052],\n",
       "       [9631482, 3393191, 2632035, 2431774]], dtype=int64)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "75430d3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['2015', '2010'], dtype='object')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "cd74de7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['서울', '부산', '인천', '대구'], dtype='object')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "26c2b2f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead 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>2015</th>\n",
       "      <th>2010</th>\n",
       "      <th>2005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482</td>\n",
       "      <td>9762546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3393191</td>\n",
       "      <td>3512547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035</td>\n",
       "      <td>2517680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>2466052</td>\n",
       "      <td>2431774</td>\n",
       "      <td>2456016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015     2010     2005\n",
       "서울  9904312  9631482  9762546\n",
       "부산  3448737  3393191  3512547\n",
       "인천  2890451  2632035  2517680\n",
       "대구  2466052  2431774  2456016"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 데이터프레임에 값 추가\n",
    "# 컬럼을 기준으로 값 추가\n",
    "# 기존에 가지고있는 컬럼을 입력시 값의 수정이 이루어짐\n",
    "df2['2005'] = [9762546,3512547,2517680,2456016]\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "045b886b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "서울    9631482\n",
       "부산    3393191\n",
       "인천    2632035\n",
       "대구    2431774\n",
       "Name: 2010, dtype: int64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인덱싱 , 슬라이싱\n",
    "# 컬럼으로 인덱싱하기\n",
    "df2[\"2010\"] # 하나의 컬럼 출력시 Series로 출력"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "819b4208",
   "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>2015</th>\n",
       "      <th>2005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9762546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3512547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>2890451</td>\n",
       "      <td>2517680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>2466052</td>\n",
       "      <td>2456016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015     2005\n",
       "서울  9904312  9762546\n",
       "부산  3448737  3512547\n",
       "인천  2890451  2517680\n",
       "대구  2466052  2456016"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 리스트를 사용한 인덱싱\n",
    "# 데이터 프레임으로 출력\n",
    "df2[[\"2015\", \"2005\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "12a68e2b",
   "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",
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       "\n",
       "    .dataframe thead 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>2010</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9631482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3393191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>2632035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>2431774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2010\n",
       "서울  9631482\n",
       "부산  3393191\n",
       "인천  2632035\n",
       "대구  2431774"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Series로 출력\n",
    "df2[[\"2010\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "d1594450",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>2015</th>\n",
       "      <th>2010</th>\n",
       "      <th>2005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482</td>\n",
       "      <td>9762546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3393191</td>\n",
       "      <td>3512547</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015     2010     2005\n",
       "서울  9904312  9631482  9762546\n",
       "부산  3448737  3393191  3512547"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인덱스를 기준으로 하는 슬라이싱\n",
    "df2[0:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "651de719",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>2015</th>\n",
       "      <th>2010</th>\n",
       "      <th>2005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482</td>\n",
       "      <td>9762546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3393191</td>\n",
       "      <td>3512547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035</td>\n",
       "      <td>2517680</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015     2010     2005\n",
       "서울  9904312  9631482  9762546\n",
       "부산  3448737  3393191  3512547\n",
       "인천  2890451  2632035  2517680"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2['서울':'인천']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "ff9b24ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 인덱서\n",
    "# iloc : 인덱스 번호 사용\n",
    "# loc  : 지정한 인덱스 사용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "6470509c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2010</th>\n",
       "      <th>2005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482</td>\n",
       "      <td>9762546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3393191</td>\n",
       "      <td>3512547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035</td>\n",
       "      <td>2517680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>2466052</td>\n",
       "      <td>2431774</td>\n",
       "      <td>2456016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015     2010     2005\n",
       "서울  9904312  9631482  9762546\n",
       "부산  3448737  3393191  3512547\n",
       "인천  2890451  2632035  2517680\n",
       "대구  2466052  2431774  2456016"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "b48c6439",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>2015</th>\n",
       "      <th>2010</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3393191</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015     2010\n",
       "서울  9904312  9631482\n",
       "부산  3448737  3393191"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# loc[index,columns]\n",
    "df2.loc[\"서울\":\"부산\",\"2015\":\"2010\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "8fc209f1",
   "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>2015</th>\n",
       "      <th>2010</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3448737</td>\n",
       "      <td>3393191</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015     2010\n",
       "서울  9904312  9631482\n",
       "부산  3448737  3393191"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# iloc 인덱서를 사용해서 동일한 결과값 출력\n",
    "df2.iloc[0:2, 0:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "67e53bbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 데이터프레임 불리언인덱싱\n",
    "# 2010년 인구가 2500000 이상인 데이터 출력"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "77de812d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2010</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>9631482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>3393191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>2632035</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2010\n",
       "서울  9631482\n",
       "부산  3393191\n",
       "인천  2632035"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bol = df2.loc[:,'2010'] >= 2500000\n",
    "bol\n",
    "df2.loc[bol, ['2010']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "7e55697f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>지역</th>\n",
       "      <th>2015</th>\n",
       "      <th>2010</th>\n",
       "      <th>2005</th>\n",
       "      <th>2000</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도시</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>수도권</td>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482.0</td>\n",
       "      <td>9762546.0</td>\n",
       "      <td>9853972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>경상권</td>\n",
       "      <td>3448737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3655437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>수도권</td>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2466338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>경상권</td>\n",
       "      <td>2466052</td>\n",
       "      <td>2431774.0</td>\n",
       "      <td>2456016.0</td>\n",
       "      <td>2473990</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     지역     2015       2010       2005     2000\n",
       "도시                                             \n",
       "서울  수도권  9904312  9631482.0  9762546.0  9853972\n",
       "부산  경상권  3448737        NaN        NaN  3655437\n",
       "인천  수도권  2890451  2632035.0        NaN  2466338\n",
       "대구  경상권  2466052  2431774.0  2456016.0  2473990"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read_csv()\n",
    "pn = pd.read_csv('population_number.csv', encoding = \"euc-kr\", index_col = '도시')\n",
    "pn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "0761a50f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "수도권    2\n",
       "경상권    2\n",
       "Name: 지역, dtype: int64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 값의 갯수 세기\n",
    "# value_counts()\n",
    "pn.loc[ : ,'지역'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "a11db4d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "대구    2431774.0\n",
       "인천    2632035.0\n",
       "서울    9631482.0\n",
       "부산          NaN\n",
       "Name: 2010, dtype: float64"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 정렬\n",
    "# sort_values() : 값을 기준으로 오름차순 정렬\n",
    "pn.loc[:,'2010'].sort_values() #ascending = True가 숨어있음"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "989e9de4",
   "metadata": {},
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "cannot import name 'KN' from 'sklearn' (C:\\Users\\smhrd\\anaconda3\\lib\\site-packages\\sklearn\\__init__.py)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_14372/1643008351.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mKN\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mImportError\u001b[0m: cannot import name 'KN' from 'sklearn' (C:\\Users\\smhrd\\anaconda3\\lib\\site-packages\\sklearn\\__init__.py)"
     ]
    }
   ],
   "source": [
    "#from sklearn import KN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "03e2974f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "도시\n",
       "서울    9631482.0\n",
       "인천    2632035.0\n",
       "대구    2431774.0\n",
       "부산          NaN\n",
       "Name: 2010, dtype: float64"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 내림차순 정렬\n",
    "pn.loc[:,'2010'].sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "b909f71a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "      <th></th>\n",
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       "      <td>경상권</td>\n",
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       "      <td>2431774.0</td>\n",
       "      <td>2456016.0</td>\n",
       "      <td>2473990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>수도권</td>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035.0</td>\n",
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       "      <td>2466338</td>\n",
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       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>수도권</td>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482.0</td>\n",
       "      <td>9762546.0</td>\n",
       "      <td>9853972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>경상권</td>\n",
       "      <td>3448737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3655437</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     지역     2015       2010       2005     2000\n",
       "도시                                             \n",
       "대구  경상권  2466052  2431774.0  2456016.0  2473990\n",
       "인천  수도권  2890451  2632035.0        NaN  2466338\n",
       "서울  수도권  9904312  9631482.0  9762546.0  9853972\n",
       "부산  경상권  3448737        NaN        NaN  3655437"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# by : 기준을 정해서 정렬\n",
    "pn.sort_values(by = '2010') # 2010 값을 기준으로 전체정렬 (기준을 정해서 정렬)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "8de82616",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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       "      <th>2005</th>\n",
       "      <th>2000</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도시</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>경상권</td>\n",
       "      <td>2466052</td>\n",
       "      <td>2431774.0</td>\n",
       "      <td>2456016.0</td>\n",
       "      <td>2473990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>경상권</td>\n",
       "      <td>3448737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3655437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>수도권</td>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2466338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>수도권</td>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482.0</td>\n",
       "      <td>9762546.0</td>\n",
       "      <td>9853972</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     지역     2015       2010       2005     2000\n",
       "도시                                             \n",
       "대구  경상권  2466052  2431774.0  2456016.0  2473990\n",
       "부산  경상권  3448737        NaN        NaN  3655437\n",
       "인천  수도권  2890451  2632035.0        NaN  2466338\n",
       "서울  수도권  9904312  9631482.0  9762546.0  9853972"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 두개의 기준으로 데이터 살펴보기\n",
    "pn.sort_values(by = ['지역','2010']) # 첫번째 기준으로 정렬 후 같은 것이 있으면 두번째 기준으로 정렬"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "85c82eee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        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>지역</th>\n",
       "      <th>2015</th>\n",
       "      <th>2010</th>\n",
       "      <th>2005</th>\n",
       "      <th>2000</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도시</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>수도권</td>\n",
       "      <td>2890451</td>\n",
       "      <td>2632035.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2466338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>수도권</td>\n",
       "      <td>9904312</td>\n",
       "      <td>9631482.0</td>\n",
       "      <td>9762546.0</td>\n",
       "      <td>9853972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>경상권</td>\n",
       "      <td>3448737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3655437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>경상권</td>\n",
       "      <td>2466052</td>\n",
       "      <td>2431774.0</td>\n",
       "      <td>2456016.0</td>\n",
       "      <td>2473990</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     지역     2015       2010       2005     2000\n",
       "도시                                             \n",
       "인천  수도권  2890451  2632035.0        NaN  2466338\n",
       "서울  수도권  9904312  9631482.0  9762546.0  9853972\n",
       "부산  경상권  3448737        NaN        NaN  3655437\n",
       "대구  경상권  2466052  2431774.0  2456016.0  2473990"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인덱스 값을 기준으로 정렬\n",
    "pn.sort_index(ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "e0045e4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>1반</th>\n",
       "      <th>2반</th>\n",
       "      <th>3반</th>\n",
       "      <th>4반</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>과목</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>수학</th>\n",
       "      <td>45</td>\n",
       "      <td>44</td>\n",
       "      <td>73</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영어</th>\n",
       "      <td>76</td>\n",
       "      <td>92</td>\n",
       "      <td>45</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>국어</th>\n",
       "      <td>47</td>\n",
       "      <td>92</td>\n",
       "      <td>45</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사회</th>\n",
       "      <td>92</td>\n",
       "      <td>81</td>\n",
       "      <td>85</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>과학</th>\n",
       "      <td>11</td>\n",
       "      <td>79</td>\n",
       "      <td>47</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    1반  2반  3반  4반\n",
       "과목                \n",
       "수학  45  44  73  39\n",
       "영어  76  92  45  69\n",
       "국어  47  92  45  69\n",
       "사회  92  81  85  40\n",
       "과학  11  79  47  26"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score = pd.read_csv('score.csv', index_col = '과목', encoding = \"euc-kr\")\n",
    "score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "5de42e30",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "8492bfe0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1반    271\n",
       "2반    388\n",
       "3반    295\n",
       "4반    243\n",
       "dtype: int64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 학급별 과목 점수 총계\n",
    "np.sum(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "715391df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2반    388\n",
       "3반    295\n",
       "1반    271\n",
       "4반    243\n",
       "dtype: int64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 순위에 맞게 출력\n",
    "score.sum().sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "7744858f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "과목\n",
       "수학    201\n",
       "영어    282\n",
       "국어    253\n",
       "사회    298\n",
       "과학    163\n",
       "dtype: int64"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 과목별 점수 총계\n",
    "socre.sum(axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "e82c9992",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "과목\n",
       "수학    201\n",
       "영어    282\n",
       "국어    253\n",
       "사회    298\n",
       "과학    163\n",
       "dtype: int64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(score, axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "5ff4788d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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      "text/plain": [
       "    1반  2반  3반  4반   합계\n",
       "과목                     \n",
       "수학  45  44  73  39  201\n",
       "영어  76  92  45  69  282\n",
       "국어  47  92  45  69  253\n",
       "사회  92  81  85  40  298\n",
       "과학  11  79  47  26  163"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score['합계'] = np.sum(score.loc[:,:'4반'], axis = 1)\n",
    "score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "6b1dff4a",
   "metadata": {},
   "outputs": [
    {
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       "      <td>40.75</td>\n",
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      "text/plain": [
       "    1반  2반  3반  4반   합계     평균\n",
       "과목                            \n",
       "수학  45  44  73  39  201  50.25\n",
       "영어  76  92  45  69  282  70.50\n",
       "국어  47  92  45  69  253  63.25\n",
       "사회  92  81  85  40  298  74.50\n",
       "과학  11  79  47  26  163  40.75"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score['평균'] = np.mean(score.loc[:, :'4반'],axis = 1)\n",
    "score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "1361eb82",
   "metadata": {},
   "outputs": [
    {
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>국어</th>\n",
       "      <td>47.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>63.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사회</th>\n",
       "      <td>92.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>74.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>과학</th>\n",
       "      <td>11.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>40.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>반평균</th>\n",
       "      <td>54.2</td>\n",
       "      <td>77.6</td>\n",
       "      <td>59.0</td>\n",
       "      <td>48.6</td>\n",
       "      <td>239.4</td>\n",
       "      <td>59.85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       1반    2반    3반    4반     합계     평균\n",
       "과목                                       \n",
       "수학   45.0  44.0  73.0  39.0  201.0  50.25\n",
       "영어   76.0  92.0  45.0  69.0  282.0  70.50\n",
       "국어   47.0  92.0  45.0  69.0  253.0  63.25\n",
       "사회   92.0  81.0  85.0  40.0  298.0  74.50\n",
       "과학   11.0  79.0  47.0  26.0  163.0  40.75\n",
       "반평균  54.2  77.6  59.0  48.6  239.4  59.85"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인덱스를 추가하는 방법\n",
    "score.loc['반평균'] = np.mean(score)\n",
    "score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a442a401",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 과목별로 가장 큰값과 가장 작은값의 차이를 구하자"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "43d74aba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "과목\n",
       "수학     201.0\n",
       "영어     282.0\n",
       "국어     253.0\n",
       "사회     298.0\n",
       "과학     163.0\n",
       "반평균    239.4\n",
       "dtype: float64"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 가장 큰값 구하기\n",
    "# max()\n",
    "score.max(axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "8546318b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "과목\n",
       "수학     39.0\n",
       "영어     45.0\n",
       "국어     45.0\n",
       "사회     40.0\n",
       "과학     11.0\n",
       "반평균    48.6\n",
       "dtype: float64"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 가장 작은값 구하기\n",
    "# min()\n",
    "score.min(axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "b7317d4a",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "과목\n",
       "수학    73.0\n",
       "영어    92.0\n",
       "국어    92.0\n",
       "사회    92.0\n",
       "과학    79.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_score = score.loc[:'과학',:'4반'].max(axis = 1)\n",
    "max_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "a49eb4dd",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "과목\n",
       "수학    39.0\n",
       "영어    45.0\n",
       "국어    45.0\n",
       "사회    40.0\n",
       "과학    11.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_score = score.loc[:'과학',:'4반'].min(axis = 1)\n",
    "min_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "7ac73544",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "과목\n",
       "수학    39.0\n",
       "영어    45.0\n",
       "국어    45.0\n",
       "사회    40.0\n",
       "과학    11.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_score = np.min(score.loc[:'과학',:'4반'], axis = 1)\n",
    "min_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "6e4a9d7c",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "과목\n",
       "수학    34.0\n",
       "영어    47.0\n",
       "국어    47.0\n",
       "사회    52.0\n",
       "과학    68.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_score - min_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e0d7f6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# apply()\n",
    "# 행이나 열 단위로 복잡한 처리를 하고 싶을 때 사용\n",
    "# 적용시킬 데이터에 행 / 열 단위로 함수를 적용시켜줌"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "e2fc725c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>1반</th>\n",
       "      <th>2반</th>\n",
       "      <th>3반</th>\n",
       "      <th>4반</th>\n",
       "      <th>합계</th>\n",
       "      <th>평균</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>과목</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>수학</th>\n",
       "      <td>45.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>50.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영어</th>\n",
       "      <td>76.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>70.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>국어</th>\n",
       "      <td>47.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>63.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사회</th>\n",
       "      <td>92.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>74.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>과학</th>\n",
       "      <td>11.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>40.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>반평균</th>\n",
       "      <td>54.2</td>\n",
       "      <td>77.6</td>\n",
       "      <td>59.0</td>\n",
       "      <td>48.6</td>\n",
       "      <td>239.4</td>\n",
       "      <td>59.85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       1반    2반    3반    4반     합계     평균\n",
       "과목                                       \n",
       "수학   45.0  44.0  73.0  39.0  201.0  50.25\n",
       "영어   76.0  92.0  45.0  69.0  282.0  70.50\n",
       "국어   47.0  92.0  45.0  69.0  253.0  63.25\n",
       "사회   92.0  81.0  85.0  40.0  298.0  74.50\n",
       "과학   11.0  79.0  47.0  26.0  163.0  40.75\n",
       "반평균  54.2  77.6  59.0  48.6  239.4  59.85"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "0c779305",
   "metadata": {},
   "outputs": [],
   "source": [
    "def max_min(x):\n",
    "    return x.max() - x.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "1173506b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "과목\n",
       "수학    34.0\n",
       "영어    47.0\n",
       "국어    47.0\n",
       "사회    52.0\n",
       "과학    68.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score.loc[:'과학',:'4반'].apply(max_min, axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "489adfba",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 결측치를 채우는 함수\n",
    "# fillna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "e68b596e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A  B  C\n",
       "0  1  1  1\n",
       "1  3  2  2\n",
       "2  3  2  4\n",
       "3  4  3  4\n",
       "4  4  3  5"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_dic = {'A':[1,3,3,4,4], 'B':[1,2,2,3,3], 'C':[1,2,4,4,5]}\n",
    "df = pd.DataFrame(data_dic)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "1718d1ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "      <th>C</th>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     A    B    C\n",
       "1  1.0  1.0  1.0\n",
       "2  NaN  2.0  1.0\n",
       "3  2.0  2.0  NaN\n",
       "4  2.0  NaN  2.0\n",
       "5  NaN  NaN  1.0"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df.apply(pd.value_counts)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "78ad450a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       A      B      C\n",
       "1    1.0    1.0    1.0\n",
       "2  100.0    2.0    1.0\n",
       "3    2.0    2.0  100.0\n",
       "4    2.0  100.0    2.0\n",
       "5  100.0  100.0    1.0"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df1.fillna(100) # 값을 출력하고 저장하지 않음\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "19e5afd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 카테고리 데이터 만들기\n",
    "# cut(데이터, 기준, 라벨)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "aba3a40b",
   "metadata": {},
   "outputs": [],
   "source": [
    "ages = [0,2,10,21,23,37,31,61,20,41,32,100]\n",
    "bins = [0,15,25,35,60,99] # 구분할 기준 5가지로 구분\n",
    "labels = ['미성년자','청년','중년','장년','노년']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "1bef0399",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[NaN, '미성년자', '미성년자', '청년', '청년', ..., '노년', '청년', '장년', '중년', NaN]\n",
       "Length: 12\n",
       "Categories (5, object): ['미성년자' < '청년' < '중년' < '장년' < '노년']"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.cut(x = ages, bins = bins, labels = labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "5d6a61be",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame({'A': ['A0', 'A1', 'A2', 'A3'], \n",
    "                    'B': ['B0', 'B1', 'B2', 'B3'],\n",
    "                    'C': ['C0', 'C1', 'C2', 'C3'],\n",
    "                    'D': ['D0', 'D1', 'D2', 'D3']},\n",
    "                   index=[0, 1, 2, 3])\n",
    "\n",
    "df2 = pd.DataFrame({'A': ['A4', 'A5', 'A6', 'A7'],\n",
    "                    'B': ['B4', 'B5', 'B6', 'B7'],\n",
    "                    'C': ['C4', 'C5', 'C6', 'C7'],\n",
    "                    'D': ['D4', 'D5', 'D6', 'D7']},\n",
    "                   index=[4, 5, 6, 7])\n",
    "\n",
    "df3 = pd.DataFrame({'A': ['A8', 'A9', 'A10', 'A11'],\n",
    "                    'B': ['B8', 'B9', 'B10', 'B11'],\n",
    "                    'C': ['C8', 'C9', 'C10', 'C11'],\n",
    "                    'D': ['D8', 'D9', 'D10', 'D11']},\n",
    "                   index=[8, 9, 10, 11])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "0dd05a6e",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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       "      <td>D7</td>\n",
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       "      <th>8</th>\n",
       "      <td>A8</td>\n",
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       "      <td>C8</td>\n",
       "      <td>D8</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>A9</td>\n",
       "      <td>B9</td>\n",
       "      <td>C9</td>\n",
       "      <td>D9</td>\n",
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       "      <td>C10</td>\n",
       "      <td>D10</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>A11</td>\n",
       "      <td>B11</td>\n",
       "      <td>C11</td>\n",
       "      <td>D11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      A    B    C    D\n",
       "0    A0   B0   C0   D0\n",
       "1    A1   B1   C1   D1\n",
       "2    A2   B2   C2   D2\n",
       "3    A3   B3   C3   D3\n",
       "4    A4   B4   C4   D4\n",
       "5    A5   B5   C5   D5\n",
       "6    A6   B6   C6   D6\n",
       "7    A7   B7   C7   D7\n",
       "8    A8   B8   C8   D8\n",
       "9    A9   B9   C9   D9\n",
       "10  A10  B10  C10  D10\n",
       "11  A11  B11  C11  D11"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 데이터프레임 합치기\n",
    "# concat()\n",
    "result = pd.concat([df1,df2,df3])\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "e50e101e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df4 = pd.DataFrame({'B': ['B2', 'B3', 'B6', 'B7'], \n",
    "                    'D': ['D2', 'D3', 'D6', 'D7'],\n",
    "                    'F': ['F2', 'F3', 'F6', 'F7']},\n",
    "                   index=[2, 3, 6, 7])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "1e275be5",
   "metadata": {},
   "outputs": [
    {
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B6</td>\n",
       "      <td>D6</td>\n",
       "      <td>F6</td>\n",
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       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B7</td>\n",
       "      <td>D7</td>\n",
       "      <td>F7</td>\n",
       "    </tr>\n",
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       "</div>"
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      "text/plain": [
       "     A    B    C    D    B    D    F\n",
       "0   A0   B0   C0   D0  NaN  NaN  NaN\n",
       "1   A1   B1   C1   D1  NaN  NaN  NaN\n",
       "2   A2   B2   C2   D2   B2   D2   F2\n",
       "3   A3   B3   C3   D3   B3   D3   F3\n",
       "6  NaN  NaN  NaN  NaN   B6   D6   F6\n",
       "7  NaN  NaN  NaN  NaN   B7   D7   F7"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([df1,df4],axis = 1) # 인덱스를 기준으로 데이터 합치기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "0b25b9d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "    A   B   C   D   B   D   F\n",
       "2  A2  B2  C2  D2  B2  D2  F2\n",
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      ]
     },
     "execution_count": 155,
     "metadata": {},
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    }
   ],
   "source": [
    "# 같은 인덱스를 가지고 있는 값만 출력\n",
    "pd.concat([df1,df4],axis = 1, join = 'inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "0bea937f",
   "metadata": {},
   "outputs": [
    {
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B6</td>\n",
       "      <td>D6</td>\n",
       "      <td>F6</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B7</td>\n",
       "      <td>D7</td>\n",
       "      <td>F7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     0    1    2    3    4    5    6\n",
       "0   A0   B0   C0   D0  NaN  NaN  NaN\n",
       "1   A1   B1   C1   D1  NaN  NaN  NaN\n",
       "2   A2   B2   C2   D2   B2   D2   F2\n",
       "3   A3   B3   C3   D3   B3   D3   F3\n",
       "6  NaN  NaN  NaN  NaN   B6   D6   F6\n",
       "7  NaN  NaN  NaN  NaN   B7   D7   F7"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# (기준이 되지 않은) 컬럼(사실 위에도 인덱스) 초기화\n",
    "pd.concat([df1,df4],axis = 1, ignore_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "83e7c3de",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>B3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D3</td>\n",
       "      <td>F3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>B6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D6</td>\n",
       "      <td>F6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>B7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D7</td>\n",
       "      <td>F7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     A   B    C   D    F\n",
       "0   A0  B0   C0  D0  NaN\n",
       "1   A1  B1   C1  D1  NaN\n",
       "2   A2  B2   C2  D2  NaN\n",
       "3   A3  B3   C3  D3  NaN\n",
       "4  NaN  B2  NaN  D2   F2\n",
       "5  NaN  B3  NaN  D3   F3\n",
       "6  NaN  B6  NaN  D6   F6\n",
       "7  NaN  B7  NaN  D7   F7"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([df1,df4], ignore_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "984894f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead 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>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "      <th>F</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A0</td>\n",
       "      <td>B0</td>\n",
       "      <td>C0</td>\n",
       "      <td>D0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A1</td>\n",
       "      <td>B1</td>\n",
       "      <td>C1</td>\n",
       "      <td>D1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A2</td>\n",
       "      <td>B2</td>\n",
       "      <td>C2</td>\n",
       "      <td>D2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A3</td>\n",
       "      <td>B3</td>\n",
       "      <td>C3</td>\n",
       "      <td>D3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>B2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D2</td>\n",
       "      <td>F2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>B3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D3</td>\n",
       "      <td>F3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>B6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D6</td>\n",
       "      <td>F6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>B7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D7</td>\n",
       "      <td>F7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     A   B    C   D    F\n",
       "0   A0  B0   C0  D0  NaN\n",
       "1   A1  B1   C1  D1  NaN\n",
       "2   A2  B2   C2  D2  NaN\n",
       "3   A3  B3   C3  D3  NaN\n",
       "2  NaN  B2  NaN  D2   F2\n",
       "3  NaN  B3  NaN  D3   F3\n",
       "6  NaN  B6  NaN  D6   F6\n",
       "7  NaN  B7  NaN  D7   F7"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([df1,df4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "c362a7c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# value를 기준으로 데이터 합치기\n",
    "df5 = pd.DataFrame({'key': ['K0','K2','K3','K4'],\n",
    "'A':['A0','A1','A2','A3'],\n",
    "'B':['B0','B1','B2','B3']})\n",
    "\n",
    "\n",
    "df6 = pd.DataFrame({'key': ['K0','K1','K2','K3'],\n",
    "'C':['C0','C1','C2','C3'],\n",
    "'D':['D0','D1','D2','D3']})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "fccc6ac8",
   "metadata": {
    "collapsed": true
   },
   "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>key</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>K0</td>\n",
       "      <td>A0</td>\n",
       "      <td>B0</td>\n",
       "      <td>C0</td>\n",
       "      <td>D0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>K2</td>\n",
       "      <td>A1</td>\n",
       "      <td>B1</td>\n",
       "      <td>C2</td>\n",
       "      <td>D2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>K3</td>\n",
       "      <td>A2</td>\n",
       "      <td>B2</td>\n",
       "      <td>C3</td>\n",
       "      <td>D3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  key   A   B   C   D\n",
       "0  K0  A0  B0  C0  D0\n",
       "1  K2  A1  B1  C2  D2\n",
       "2  K3  A2  B2  C3  D3"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge\n",
    "# 데이터를 기준으로 df 합침\n",
    "# 기준이 같은 것만 출력 : how = inner\n",
    "# 두개 밖에 못합침\n",
    "pd.merge(df5, df6, on = 'key')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "5289331f",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\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>key</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>K0</td>\n",
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       "      <td>B0</td>\n",
       "      <td>C0</td>\n",
       "      <td>D0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>K2</td>\n",
       "      <td>A1</td>\n",
       "      <td>B1</td>\n",
       "      <td>C2</td>\n",
       "      <td>D2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>K3</td>\n",
       "      <td>A2</td>\n",
       "      <td>B2</td>\n",
       "      <td>C3</td>\n",
       "      <td>D3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>K4</td>\n",
       "      <td>A3</td>\n",
       "      <td>B3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>K1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C1</td>\n",
       "      <td>D1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  key    A    B    C    D\n",
       "0  K0   A0   B0   C0   D0\n",
       "1  K2   A1   B1   C2   D2\n",
       "2  K3   A2   B2   C3   D3\n",
       "3  K4   A3   B3  NaN  NaN\n",
       "4  K1  NaN  NaN   C1   D1"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(df5, df6, how='outer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "315bf995",
   "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>key</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>K0</td>\n",
       "      <td>A0</td>\n",
       "      <td>B0</td>\n",
       "      <td>C0</td>\n",
       "      <td>D0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>K1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C1</td>\n",
       "      <td>D1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>K2</td>\n",
       "      <td>A1</td>\n",
       "      <td>B1</td>\n",
       "      <td>C2</td>\n",
       "      <td>D2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>K3</td>\n",
       "      <td>A2</td>\n",
       "      <td>B2</td>\n",
       "      <td>C3</td>\n",
       "      <td>D3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  key    A    B   C   D\n",
       "0  K0   A0   B0  C0  D0\n",
       "1  K1  NaN  NaN  C1  D1\n",
       "2  K2   A1   B1  C2  D2\n",
       "3  K3   A2   B2  C3  D3"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# how : left, right (left : 왼쪽 꺼 기준 정렬, right: 오른쪽 꺼 기준 정렬)\n",
    "pd.merge(df5, df6, how='right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "e91899ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "id": "eeefcf5e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>구분</th>\n",
       "      <th>살인</th>\n",
       "      <th>강도</th>\n",
       "      <th>강간·강제추행</th>\n",
       "      <th>절도</th>\n",
       "      <th>폭력</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관서명</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>18</td>\n",
       "      <td>44</td>\n",
       "      <td>750</td>\n",
       "      <td>8425</td>\n",
       "      <td>9593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>18</td>\n",
       "      <td>47</td>\n",
       "      <td>758</td>\n",
       "      <td>5409</td>\n",
       "      <td>8301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>17</td>\n",
       "      <td>66</td>\n",
       "      <td>776</td>\n",
       "      <td>3433</td>\n",
       "      <td>11774</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>구속</td>\n",
       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>42</td>\n",
       "      <td>104</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>불구속</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>511</td>\n",
       "      <td>2781</td>\n",
       "      <td>5618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>기타</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>223</td>\n",
       "      <td>548</td>\n",
       "      <td>6098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>92</td>\n",
       "      <td>1100</td>\n",
       "      <td>1155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>86</td>\n",
       "      <td>583</td>\n",
       "      <td>970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>98</td>\n",
       "      <td>447</td>\n",
       "      <td>1483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>63</td>\n",
       "      <td>379</td>\n",
       "      <td>703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>55</td>\n",
       "      <td>770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>172</td>\n",
       "      <td>2050</td>\n",
       "      <td>2483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>153</td>\n",
       "      <td>1471</td>\n",
       "      <td>2124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>167</td>\n",
       "      <td>876</td>\n",
       "      <td>3080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>91</td>\n",
       "      <td>665</td>\n",
       "      <td>1366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>69</td>\n",
       "      <td>184</td>\n",
       "      <td>1695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>70</td>\n",
       "      <td>962</td>\n",
       "      <td>1081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>53</td>\n",
       "      <td>506</td>\n",
       "      <td>941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>52</td>\n",
       "      <td>418</td>\n",
       "      <td>1260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>325</td>\n",
       "      <td>675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>74</td>\n",
       "      <td>582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>256</td>\n",
       "      <td>2570</td>\n",
       "      <td>2621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>212</td>\n",
       "      <td>1852</td>\n",
       "      <td>2319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>216</td>\n",
       "      <td>948</td>\n",
       "      <td>3168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>153</td>\n",
       "      <td>770</td>\n",
       "      <td>1544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>148</td>\n",
       "      <td>1614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>160</td>\n",
       "      <td>1743</td>\n",
       "      <td>2253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>135</td>\n",
       "      <td>996</td>\n",
       "      <td>1922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>129</td>\n",
       "      <td>736</td>\n",
       "      <td>2585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>81</td>\n",
       "      <td>639</td>\n",
       "      <td>1181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>85</td>\n",
       "      <td>1398</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도     폭력\n",
       "관서명                                         \n",
       "광주지방경찰청계  발생건수  18  44      750  8425   9593\n",
       "광주지방경찰청계  검거건수  18  47      758  5409   8301\n",
       "광주지방경찰청계  검거인원  17  66      776  3433  11774\n",
       "광주지방경찰청계    구속   9  33       42   104     58\n",
       "광주지방경찰청계   불구속   1  26      511  2781   5618\n",
       "광주지방경찰청계    기타   7   7      223   548   6098\n",
       "광주동부경찰서   발생건수   3   5       92  1100   1155\n",
       "광주동부경찰서   검거건수   4   6       86   583    970\n",
       "광주동부경찰서   검거인원   4   7       98   447   1483\n",
       "광주동부경찰서     구속   3   2        8    13     10\n",
       "광주동부경찰서    불구속   0   4       63   379    703\n",
       "광주동부경찰서     기타   1   1       27    55    770\n",
       "광주서부경찰서   발생건수   5  10      172  2050   2483\n",
       "광주서부경찰서   검거건수   4   8      153  1471   2124\n",
       "광주서부경찰서   검거인원   4  15      167   876   3080\n",
       "광주서부경찰서     구속   3  10        7    27     19\n",
       "광주서부경찰서    불구속   0   5       91   665   1366\n",
       "광주서부경찰서     기타   1   0       69   184   1695\n",
       "광주남부경찰서   발생건수   1   3       70   962   1081\n",
       "광주남부경찰서   검거건수   1   3       53   506    941\n",
       "광주남부경찰서   검거인원   1   3       52   418   1260\n",
       "광주남부경찰서     구속   0   3        3    19      3\n",
       "광주남부경찰서    불구속   1   0       39   325    675\n",
       "광주남부경찰서     기타   0   0       10    74    582\n",
       "광주북부경찰서   발생건수   5  14      256  2570   2621\n",
       "광주북부경찰서   검거건수   5  18      212  1852   2319\n",
       "광주북부경찰서   검거인원   5  28      216   948   3168\n",
       "광주북부경찰서     구속   3  11       11    30     10\n",
       "광주북부경찰서    불구속   0  12      153   770   1544\n",
       "광주북부경찰서     기타   2   5       52   148   1614\n",
       "광주광산경찰서   발생건수   4  12      160  1743   2253\n",
       "광주광산경찰서   검거건수   4  10      135   996   1922\n",
       "광주광산경찰서   검거인원   3   8      129   736   2585\n",
       "광주광산경찰서     구속   0   4        5    12      6\n",
       "광주광산경찰서    불구속   0   4       81   639   1181\n",
       "광주광산경찰서     기타   3   0       43    85   1398"
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2015 파일 불러오기\n",
    "# cp949\n",
    "df2015 = pd.read_csv('2015.csv', encoding = \"euc-kr\", index_col = '관서명')\n",
    "df2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "id": "de2128a0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>구분</th>\n",
       "      <th>살인</th>\n",
       "      <th>강도</th>\n",
       "      <th>강간·강제추행</th>\n",
       "      <th>절도</th>\n",
       "      <th>폭력</th>\n",
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       "    <tr>\n",
       "      <th>관서명</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>17</td>\n",
       "      <td>47</td>\n",
       "      <td>701</td>\n",
       "      <td>6052</td>\n",
       "      <td>8599</td>\n",
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       "      <th>광주지방경찰청계</th>\n",
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       "      <td>4242</td>\n",
       "      <td>7631</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>21</td>\n",
       "      <td>54</td>\n",
       "      <td>758</td>\n",
       "      <td>3455</td>\n",
       "      <td>10747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>구속</td>\n",
       "      <td>14</td>\n",
       "      <td>25</td>\n",
       "      <td>37</td>\n",
       "      <td>132</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>불구속</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>491</td>\n",
       "      <td>2862</td>\n",
       "      <td>5267</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>기타</td>\n",
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       "      <th>광주동부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
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       "      <td>83</td>\n",
       "      <td>832</td>\n",
       "      <td>1142</td>\n",
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       "      <th>광주동부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>70</td>\n",
       "      <td>679</td>\n",
       "      <td>1002</td>\n",
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       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>71</td>\n",
       "      <td>543</td>\n",
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       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
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       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
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       "      <td>불구속</td>\n",
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       "      <td>7</td>\n",
       "      <td>50</td>\n",
       "      <td>460</td>\n",
       "      <td>773</td>\n",
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       "      <th>광주동부경찰서</th>\n",
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       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>66</td>\n",
       "      <td>717</td>\n",
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       "      <th>광주서부경찰서</th>\n",
       "      <td>발생건수</td>\n",
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       "      <td>11</td>\n",
       "      <td>174</td>\n",
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       "      <th>광주서부경찰서</th>\n",
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       "      <th>광주서부경찰서</th>\n",
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       "      <td>6</td>\n",
       "      <td>7</td>\n",
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       "      <td>18</td>\n",
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       "      <td>4</td>\n",
       "      <td>92</td>\n",
       "      <td>749</td>\n",
       "      <td>1301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>70</td>\n",
       "      <td>123</td>\n",
       "      <td>1555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>64</td>\n",
       "      <td>768</td>\n",
       "      <td>1028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>54</td>\n",
       "      <td>544</td>\n",
       "      <td>883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>55</td>\n",
       "      <td>348</td>\n",
       "      <td>1198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>38</td>\n",
       "      <td>264</td>\n",
       "      <td>599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>72</td>\n",
       "      <td>597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>205</td>\n",
       "      <td>1788</td>\n",
       "      <td>2142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>158</td>\n",
       "      <td>1156</td>\n",
       "      <td>1906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>178</td>\n",
       "      <td>933</td>\n",
       "      <td>2700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>135</td>\n",
       "      <td>759</td>\n",
       "      <td>1402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>124</td>\n",
       "      <td>1285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>175</td>\n",
       "      <td>1247</td>\n",
       "      <td>1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>147</td>\n",
       "      <td>898</td>\n",
       "      <td>1798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>147</td>\n",
       "      <td>723</td>\n",
       "      <td>2382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>85</td>\n",
       "      <td>620</td>\n",
       "      <td>1125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>72</td>\n",
       "      <td>1250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도     폭력\n",
       "관서명                                         \n",
       "광주지방경찰청계  발생건수  17  47      701  6052   8599\n",
       "광주지방경찰청계  검거건수  18  47      713  4242   7631\n",
       "광주지방경찰청계  검거인원  21  54      758  3455  10747\n",
       "광주지방경찰청계    구속  14  25       37   132     57\n",
       "광주지방경찰청계   불구속   3  25      491  2862   5267\n",
       "광주지방경찰청계    기타   4   4      230   461   5423\n",
       "광주동부경찰서   발생건수   3   8       83   832   1142\n",
       "광주동부경찰서   검거건수   3   7       70   679   1002\n",
       "광주동부경찰서   검거인원   4  10       71   543   1497\n",
       "광주동부경찰서     구속   2   2        3    17      7\n",
       "광주동부경찰서    불구속   0   7       50   460    773\n",
       "광주동부경찰서     기타   2   1       18    66    717\n",
       "광주서부경찰서   발생건수   2  11      174  1417   2288\n",
       "광주서부경찰서   검거건수   3  11      158   963   1994\n",
       "광주서부경찰서   검거인원   3  13      169   894   2874\n",
       "광주서부경찰서     구속   3   6        7    22     18\n",
       "광주서부경찰서    불구속   0   4       92   749   1301\n",
       "광주서부경찰서     기타   0   3       70   123   1555\n",
       "광주남부경찰서   발생건수   1   4       64   768   1028\n",
       "광주남부경찰서   검거건수   1   4       54   544    883\n",
       "광주남부경찰서   검거인원   1   5       55   348   1198\n",
       "광주남부경찰서     구속   1   4        2    12      2\n",
       "광주남부경찰서    불구속   0   1       38   264    599\n",
       "광주남부경찰서     기타   0   0       15    72    597\n",
       "광주북부경찰서   발생건수   6   7      205  1788   2142\n",
       "광주북부경찰서   검거건수   5   8      158  1156   1906\n",
       "광주북부경찰서   검거인원   6  10      178   933   2700\n",
       "광주북부경찰서     구속   3   6        1    50     13\n",
       "광주북부경찰서    불구속   2   4      135   759   1402\n",
       "광주북부경찰서     기타   1   0       42   124   1285\n",
       "광주광산경찰서   발생건수   5  17      175  1247   1999\n",
       "광주광산경찰서   검거건수   5  17      147   898   1798\n",
       "광주광산경찰서   검거인원   6  16      147   723   2382\n",
       "광주광산경찰서     구속   4   7       14    31      7\n",
       "광주광산경찰서    불구속   1   9       85   620   1125\n",
       "광주광산경찰서     기타   1   0       48    72   1250"
      ]
     },
     "execution_count": 290,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2016 파일 불러오기\n",
    "df2016 = pd.read_csv('2016.csv', encoding = \"euc-kr\", index_col = '관서명')\n",
    "df2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "id": "6b9a1317",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>구분</th>\n",
       "      <th>살인</th>\n",
       "      <th>강도</th>\n",
       "      <th>강간·강제추행</th>\n",
       "      <th>절도</th>\n",
       "      <th>폭력</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관서명</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>725</td>\n",
       "      <td>4816</td>\n",
       "      <td>8366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>9</td>\n",
       "      <td>32</td>\n",
       "      <td>732</td>\n",
       "      <td>3487</td>\n",
       "      <td>7553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>10</td>\n",
       "      <td>61</td>\n",
       "      <td>824</td>\n",
       "      <td>3046</td>\n",
       "      <td>11018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>구속</td>\n",
       "      <td>8</td>\n",
       "      <td>28</td>\n",
       "      <td>71</td>\n",
       "      <td>115</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>523</td>\n",
       "      <td>2493</td>\n",
       "      <td>5235</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>기타</td>\n",
       "      <td>2</td>\n",
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       "      <td>230</td>\n",
       "      <td>438</td>\n",
       "      <td>5695</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>105</td>\n",
       "      <td>0</td>\n",
       "      <td>149</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>구속</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>624</td>\n",
       "      <td>1090</td>\n",
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       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>70</td>\n",
       "      <td>470</td>\n",
       "      <td>953</td>\n",
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       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>76</td>\n",
       "      <td>483</td>\n",
       "      <td>1538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
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       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
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       "      <td>801</td>\n",
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       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>69</td>\n",
       "      <td>728</td>\n",
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       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>196</td>\n",
       "      <td>1142</td>\n",
       "      <td>2293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>172</td>\n",
       "      <td>708</td>\n",
       "      <td>2065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>188</td>\n",
       "      <td>708</td>\n",
       "      <td>2971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>123</td>\n",
       "      <td>582</td>\n",
       "      <td>1356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>106</td>\n",
       "      <td>1584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>68</td>\n",
       "      <td>577</td>\n",
       "      <td>898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>51</td>\n",
       "      <td>522</td>\n",
       "      <td>799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>47</td>\n",
       "      <td>363</td>\n",
       "      <td>1107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>271</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>74</td>\n",
       "      <td>515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>215</td>\n",
       "      <td>1546</td>\n",
       "      <td>2176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>204</td>\n",
       "      <td>1127</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>260</td>\n",
       "      <td>898</td>\n",
       "      <td>2863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>39</td>\n",
       "      <td>33</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>159</td>\n",
       "      <td>730</td>\n",
       "      <td>1314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>135</td>\n",
       "      <td>1527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>169</td>\n",
       "      <td>927</td>\n",
       "      <td>1909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>144</td>\n",
       "      <td>660</td>\n",
       "      <td>1702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>148</td>\n",
       "      <td>594</td>\n",
       "      <td>2390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>102</td>\n",
       "      <td>515</td>\n",
       "      <td>1104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>54</td>\n",
       "      <td>1268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도     폭력\n",
       "관서명                                         \n",
       "광주지방경찰청계  발생건수   9  33      725  4816   8366\n",
       "광주지방경찰청계  검거건수   9  32      732  3487   7553\n",
       "광주지방경찰청계  검거인원  10  61      824  3046  11018\n",
       "광주지방경찰청계    구속   8  28       71   115     88\n",
       "광주지방경찰청계   불구속   0  26      523  2493   5235\n",
       "광주지방경찰청계    기타   2   7      230   438   5695\n",
       "광주지방경찰청   발생건수   0   0        0     0      0\n",
       "광주지방경찰청   검거건수   0   1       91     0     37\n",
       "광주지방경찰청   검거인원   0   1      105     0    149\n",
       "광주지방경찰청     구속   0   0       17     0      7\n",
       "광주지방경찰청    불구속   0   1       53     0     69\n",
       "광주지방경찰청     기타   0   0       35     0     73\n",
       "광주동부경찰서   발생건수   3   5       77   624   1090\n",
       "광주동부경찰서   검거건수   3   5       70   470    953\n",
       "광주동부경찰서   검거인원   4   4       76   483   1538\n",
       "광주동부경찰서     구속   2   3        2    19      9\n",
       "광주동부경찰서    불구속   0   1       57   395    801\n",
       "광주동부경찰서     기타   2   0       17    69    728\n",
       "광주서부경찰서   발생건수   0   7      196  1142   2293\n",
       "광주서부경찰서   검거건수   0   7      172   708   2065\n",
       "광주서부경찰서   검거인원   0  23      188   708   2971\n",
       "광주서부경찰서     구속   0   8        6    20     31\n",
       "광주서부경찰서    불구속   0  15      123   582   1356\n",
       "광주서부경찰서     기타   0   0       59   106   1584\n",
       "광주남부경찰서   발생건수   0   4       68   577    898\n",
       "광주남부경찰서   검거건수   0   4       51   522    799\n",
       "광주남부경찰서   검거인원   0   5       47   363   1107\n",
       "광주남부경찰서     구속   0   2        1    18      1\n",
       "광주남부경찰서    불구속   0   2       29   271    591\n",
       "광주남부경찰서     기타   0   1       17    74    515\n",
       "광주북부경찰서   발생건수   3   5      215  1546   2176\n",
       "광주북부경찰서   검거건수   3   5      204  1127   1997\n",
       "광주북부경찰서   검거인원   3   6      260   898   2863\n",
       "광주북부경찰서     구속   3   4       39    33     22\n",
       "광주북부경찰서    불구속   0   0      159   730   1314\n",
       "광주북부경찰서     기타   0   2       62   135   1527\n",
       "광주광산경찰서   발생건수   3  12      169   927   1909\n",
       "광주광산경찰서   검거건수   3  10      144   660   1702\n",
       "광주광산경찰서   검거인원   3  22      148   594   2390\n",
       "광주광산경찰서     구속   3  11        6    25     18\n",
       "광주광산경찰서    불구속   0   7      102   515   1104\n",
       "광주광산경찰서     기타   0   4       40    54   1268"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2017 파일 불러오기\n",
    "df2017 = pd.read_csv('2017.csv', encoding = \"euc-kr\", index_col = '관서명')\n",
    "df2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "adf53762",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>구분</th>\n",
       "      <th>살인</th>\n",
       "      <th>강도</th>\n",
       "      <th>강간·강제추행</th>\n",
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       "      <th>관서명</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>18</td>\n",
       "      <td>44</td>\n",
       "      <td>750</td>\n",
       "      <td>8425</td>\n",
       "      <td>9593</td>\n",
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       "      <td>8301</td>\n",
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       "      <th>광주지방경찰청계</th>\n",
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       "      <td>17</td>\n",
       "      <td>66</td>\n",
       "      <td>776</td>\n",
       "      <td>3433</td>\n",
       "      <td>11774</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
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       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>42</td>\n",
       "      <td>104</td>\n",
       "      <td>58</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>불구속</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>511</td>\n",
       "      <td>2781</td>\n",
       "      <td>5618</td>\n",
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       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
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       "      <th>광주동부경찰서</th>\n",
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       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>92</td>\n",
       "      <td>1100</td>\n",
       "      <td>1155</td>\n",
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       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>86</td>\n",
       "      <td>583</td>\n",
       "      <td>970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>4</td>\n",
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       "      <td>3</td>\n",
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       "      <td>8</td>\n",
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      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도     폭력\n",
       "관서명                                         \n",
       "광주지방경찰청계  발생건수  18  44      750  8425   9593\n",
       "광주지방경찰청계  검거건수  18  47      758  5409   8301\n",
       "광주지방경찰청계  검거인원  17  66      776  3433  11774\n",
       "광주지방경찰청계    구속   9  33       42   104     58\n",
       "광주지방경찰청계   불구속   1  26      511  2781   5618\n",
       "광주지방경찰청계    기타   7   7      223   548   6098\n",
       "광주동부경찰서   발생건수   3   5       92  1100   1155\n",
       "광주동부경찰서   검거건수   4   6       86   583    970\n",
       "광주동부경찰서   검거인원   4   7       98   447   1483\n",
       "광주동부경찰서     구속   3   2        8    13     10"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2015.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "4a8e04e4",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>강간·강제추행</th>\n",
       "      <th>절도</th>\n",
       "      <th>폭력</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관서명</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>725</td>\n",
       "      <td>4816</td>\n",
       "      <td>8366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>9</td>\n",
       "      <td>32</td>\n",
       "      <td>732</td>\n",
       "      <td>3487</td>\n",
       "      <td>7553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>10</td>\n",
       "      <td>61</td>\n",
       "      <td>824</td>\n",
       "      <td>3046</td>\n",
       "      <td>11018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>구속</td>\n",
       "      <td>8</td>\n",
       "      <td>28</td>\n",
       "      <td>71</td>\n",
       "      <td>115</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>523</td>\n",
       "      <td>2493</td>\n",
       "      <td>5235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>기타</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>230</td>\n",
       "      <td>438</td>\n",
       "      <td>5695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>105</td>\n",
       "      <td>0</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청</th>\n",
       "      <td>구속</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도     폭력\n",
       "관서명                                         \n",
       "광주지방경찰청계  발생건수   9  33      725  4816   8366\n",
       "광주지방경찰청계  검거건수   9  32      732  3487   7553\n",
       "광주지방경찰청계  검거인원  10  61      824  3046  11018\n",
       "광주지방경찰청계    구속   8  28       71   115     88\n",
       "광주지방경찰청계   불구속   0  26      523  2493   5235\n",
       "광주지방경찰청계    기타   2   7      230   438   5695\n",
       "광주지방경찰청   발생건수   0   0        0     0      0\n",
       "광주지방경찰청   검거건수   0   1       91     0     37\n",
       "광주지방경찰청   검거인원   0   1      105     0    149\n",
       "광주지방경찰청     구속   0   0       17     0      7"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2017.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "id": "87ebc4ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2017년도에만 있는 데이터 삭제하기\n",
    "# drop\n",
    "# 1. 변수에 담기\n",
    "# 2. inplace\n",
    "df2017.drop('광주지방경찰청', inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "527cef0c",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>강도</th>\n",
       "      <th>강간·강제추행</th>\n",
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       "      <td>11018</td>\n",
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       "      <th>광주지방경찰청계</th>\n",
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       "      <td>88</td>\n",
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       "      <th>광주지방경찰청계</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>523</td>\n",
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       "      <th>광주동부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>624</td>\n",
       "      <td>1090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>70</td>\n",
       "      <td>470</td>\n",
       "      <td>953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>76</td>\n",
       "      <td>483</td>\n",
       "      <td>1538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
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       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>395</td>\n",
       "      <td>801</td>\n",
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       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>69</td>\n",
       "      <td>728</td>\n",
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       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
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       "      <th>광주서부경찰서</th>\n",
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       "      <th>광주서부경찰서</th>\n",
       "      <td>검거인원</td>\n",
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       "      <td>23</td>\n",
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       "      <td>2971</td>\n",
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       "      <th>광주서부경찰서</th>\n",
       "      <td>구속</td>\n",
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       "      <td>8</td>\n",
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       "      <td>31</td>\n",
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       "      <th>광주서부경찰서</th>\n",
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       "      <td>106</td>\n",
       "      <td>1584</td>\n",
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       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>68</td>\n",
       "      <td>577</td>\n",
       "      <td>898</td>\n",
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       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>51</td>\n",
       "      <td>522</td>\n",
       "      <td>799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>47</td>\n",
       "      <td>363</td>\n",
       "      <td>1107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>불구속</td>\n",
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       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>271</td>\n",
       "      <td>591</td>\n",
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       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>74</td>\n",
       "      <td>515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>215</td>\n",
       "      <td>1546</td>\n",
       "      <td>2176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>204</td>\n",
       "      <td>1127</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>260</td>\n",
       "      <td>898</td>\n",
       "      <td>2863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>39</td>\n",
       "      <td>33</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>159</td>\n",
       "      <td>730</td>\n",
       "      <td>1314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>135</td>\n",
       "      <td>1527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>169</td>\n",
       "      <td>927</td>\n",
       "      <td>1909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>144</td>\n",
       "      <td>660</td>\n",
       "      <td>1702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>148</td>\n",
       "      <td>594</td>\n",
       "      <td>2390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>102</td>\n",
       "      <td>515</td>\n",
       "      <td>1104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>54</td>\n",
       "      <td>1268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도     폭력\n",
       "관서명                                         \n",
       "광주지방경찰청계  발생건수   9  33      725  4816   8366\n",
       "광주지방경찰청계  검거건수   9  32      732  3487   7553\n",
       "광주지방경찰청계  검거인원  10  61      824  3046  11018\n",
       "광주지방경찰청계    구속   8  28       71   115     88\n",
       "광주지방경찰청계   불구속   0  26      523  2493   5235\n",
       "광주지방경찰청계    기타   2   7      230   438   5695\n",
       "광주동부경찰서   발생건수   3   5       77   624   1090\n",
       "광주동부경찰서   검거건수   3   5       70   470    953\n",
       "광주동부경찰서   검거인원   4   4       76   483   1538\n",
       "광주동부경찰서     구속   2   3        2    19      9\n",
       "광주동부경찰서    불구속   0   1       57   395    801\n",
       "광주동부경찰서     기타   2   0       17    69    728\n",
       "광주서부경찰서   발생건수   0   7      196  1142   2293\n",
       "광주서부경찰서   검거건수   0   7      172   708   2065\n",
       "광주서부경찰서   검거인원   0  23      188   708   2971\n",
       "광주서부경찰서     구속   0   8        6    20     31\n",
       "광주서부경찰서    불구속   0  15      123   582   1356\n",
       "광주서부경찰서     기타   0   0       59   106   1584\n",
       "광주남부경찰서   발생건수   0   4       68   577    898\n",
       "광주남부경찰서   검거건수   0   4       51   522    799\n",
       "광주남부경찰서   검거인원   0   5       47   363   1107\n",
       "광주남부경찰서     구속   0   2        1    18      1\n",
       "광주남부경찰서    불구속   0   2       29   271    591\n",
       "광주남부경찰서     기타   0   1       17    74    515\n",
       "광주북부경찰서   발생건수   3   5      215  1546   2176\n",
       "광주북부경찰서   검거건수   3   5      204  1127   1997\n",
       "광주북부경찰서   검거인원   3   6      260   898   2863\n",
       "광주북부경찰서     구속   3   4       39    33     22\n",
       "광주북부경찰서    불구속   0   0      159   730   1314\n",
       "광주북부경찰서     기타   0   2       62   135   1527\n",
       "광주광산경찰서   발생건수   3  12      169   927   1909\n",
       "광주광산경찰서   검거건수   3  10      144   660   1702\n",
       "광주광산경찰서   검거인원   3  22      148   594   2390\n",
       "광주광산경찰서     구속   3  11        6    25     18\n",
       "광주광산경찰서    불구속   0   7      102   515   1104\n",
       "광주광산경찰서     기타   0   4       40    54   1268"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "d4aac9ea",
   "metadata": {
    "scrolled": true
   },
   "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>살인</th>\n",
       "      <th>강도</th>\n",
       "      <th>강간·강제추행</th>\n",
       "      <th>절도</th>\n",
       "      <th>폭력</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관서명</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>725</td>\n",
       "      <td>4816</td>\n",
       "      <td>8366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>9</td>\n",
       "      <td>32</td>\n",
       "      <td>732</td>\n",
       "      <td>3487</td>\n",
       "      <td>7553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>10</td>\n",
       "      <td>61</td>\n",
       "      <td>824</td>\n",
       "      <td>3046</td>\n",
       "      <td>11018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>8</td>\n",
       "      <td>28</td>\n",
       "      <td>71</td>\n",
       "      <td>115</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>523</td>\n",
       "      <td>2493</td>\n",
       "      <td>5235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>230</td>\n",
       "      <td>438</td>\n",
       "      <td>5695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>624</td>\n",
       "      <td>1090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>70</td>\n",
       "      <td>470</td>\n",
       "      <td>953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>76</td>\n",
       "      <td>483</td>\n",
       "      <td>1538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>395</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>69</td>\n",
       "      <td>728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>196</td>\n",
       "      <td>1142</td>\n",
       "      <td>2293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>172</td>\n",
       "      <td>708</td>\n",
       "      <td>2065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>188</td>\n",
       "      <td>708</td>\n",
       "      <td>2971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>123</td>\n",
       "      <td>582</td>\n",
       "      <td>1356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>106</td>\n",
       "      <td>1584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>68</td>\n",
       "      <td>577</td>\n",
       "      <td>898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>51</td>\n",
       "      <td>522</td>\n",
       "      <td>799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>47</td>\n",
       "      <td>363</td>\n",
       "      <td>1107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>271</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>74</td>\n",
       "      <td>515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>215</td>\n",
       "      <td>1546</td>\n",
       "      <td>2176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>204</td>\n",
       "      <td>1127</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>260</td>\n",
       "      <td>898</td>\n",
       "      <td>2863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>39</td>\n",
       "      <td>33</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>159</td>\n",
       "      <td>730</td>\n",
       "      <td>1314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>135</td>\n",
       "      <td>1527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>169</td>\n",
       "      <td>927</td>\n",
       "      <td>1909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>144</td>\n",
       "      <td>660</td>\n",
       "      <td>1702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>148</td>\n",
       "      <td>594</td>\n",
       "      <td>2390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>102</td>\n",
       "      <td>515</td>\n",
       "      <td>1104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>54</td>\n",
       "      <td>1268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          살인  강도  강간·강제추행    절도     폭력\n",
       "관서명                                   \n",
       "광주지방경찰청계   9  33      725  4816   8366\n",
       "광주지방경찰청계   9  32      732  3487   7553\n",
       "광주지방경찰청계  10  61      824  3046  11018\n",
       "광주지방경찰청계   8  28       71   115     88\n",
       "광주지방경찰청계   0  26      523  2493   5235\n",
       "광주지방경찰청계   2   7      230   438   5695\n",
       "광주동부경찰서    3   5       77   624   1090\n",
       "광주동부경찰서    3   5       70   470    953\n",
       "광주동부경찰서    4   4       76   483   1538\n",
       "광주동부경찰서    2   3        2    19      9\n",
       "광주동부경찰서    0   1       57   395    801\n",
       "광주동부경찰서    2   0       17    69    728\n",
       "광주서부경찰서    0   7      196  1142   2293\n",
       "광주서부경찰서    0   7      172   708   2065\n",
       "광주서부경찰서    0  23      188   708   2971\n",
       "광주서부경찰서    0   8        6    20     31\n",
       "광주서부경찰서    0  15      123   582   1356\n",
       "광주서부경찰서    0   0       59   106   1584\n",
       "광주남부경찰서    0   4       68   577    898\n",
       "광주남부경찰서    0   4       51   522    799\n",
       "광주남부경찰서    0   5       47   363   1107\n",
       "광주남부경찰서    0   2        1    18      1\n",
       "광주남부경찰서    0   2       29   271    591\n",
       "광주남부경찰서    0   1       17    74    515\n",
       "광주북부경찰서    3   5      215  1546   2176\n",
       "광주북부경찰서    3   5      204  1127   1997\n",
       "광주북부경찰서    3   6      260   898   2863\n",
       "광주북부경찰서    3   4       39    33     22\n",
       "광주북부경찰서    0   0      159   730   1314\n",
       "광주북부경찰서    0   2       62   135   1527\n",
       "광주광산경찰서    3  12      169   927   1909\n",
       "광주광산경찰서    3  10      144   660   1702\n",
       "광주광산경찰서    3  22      148   594   2390\n",
       "광주광산경찰서    3  11        6    25     18\n",
       "광주광산경찰서    0   7      102   515   1104\n",
       "광주광산경찰서    0   4       40    54   1268"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 컬럼(열)을 삭제 - drop( ... , axis = 1)\n",
    "df2017.drop('구분', axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "2c969cab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>구분</th>\n",
       "      <th>살인</th>\n",
       "      <th>강도</th>\n",
       "      <th>강간·강제추행</th>\n",
       "      <th>절도</th>\n",
       "      <th>폭력</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관서명</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>18</td>\n",
       "      <td>44</td>\n",
       "      <td>750</td>\n",
       "      <td>8425</td>\n",
       "      <td>9593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>검거건수</td>\n",
       "      <td>18</td>\n",
       "      <td>47</td>\n",
       "      <td>758</td>\n",
       "      <td>5409</td>\n",
       "      <td>8301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>검거인원</td>\n",
       "      <td>17</td>\n",
       "      <td>66</td>\n",
       "      <td>776</td>\n",
       "      <td>3433</td>\n",
       "      <td>11774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>구속</td>\n",
       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>42</td>\n",
       "      <td>104</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>불구속</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>511</td>\n",
       "      <td>2781</td>\n",
       "      <td>5618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>기타</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>223</td>\n",
       "      <td>548</td>\n",
       "      <td>6098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>92</td>\n",
       "      <td>1100</td>\n",
       "      <td>1155</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도     폭력\n",
       "관서명                                         \n",
       "광주지방경찰청계  발생건수  18  44      750  8425   9593\n",
       "광주지방경찰청계  검거건수  18  47      758  5409   8301\n",
       "광주지방경찰청계  검거인원  17  66      776  3433  11774\n",
       "광주지방경찰청계    구속   9  33       42   104     58\n",
       "광주지방경찰청계   불구속   1  26      511  2781   5618\n",
       "광주지방경찰청계    기타   7   7      223   548   6098\n",
       "광주동부경찰서   발생건수   3   5       92  1100   1155"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# '발생건수'에 해당하는 데이터가 필요하다!\n",
    "df2015.head(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "1299defb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>살인</th>\n",
       "      <th>강도</th>\n",
       "      <th>강간·강제추행</th>\n",
       "      <th>절도</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>148</td>\n",
       "      <td>1614</td>\n",
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       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
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       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
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       "      <td>10</td>\n",
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       "      <td>1922</td>\n",
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       "    <tr>\n",
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       "      <td>검거인원</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>129</td>\n",
       "      <td>736</td>\n",
       "      <td>2585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>구속</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>불구속</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>81</td>\n",
       "      <td>639</td>\n",
       "      <td>1181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>기타</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>85</td>\n",
       "      <td>1398</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           구분  살인  강도  강간·강제추행    절도    폭력\n",
       "관서명                                       \n",
       "광주북부경찰서    기타   2   5       52   148  1614\n",
       "광주광산경찰서  발생건수   4  12      160  1743  2253\n",
       "광주광산경찰서  검거건수   4  10      135   996  1922\n",
       "광주광산경찰서  검거인원   3   8      129   736  2585\n",
       "광주광산경찰서    구속   0   4        5    12     6\n",
       "광주광산경찰서   불구속   0   4       81   639  1181\n",
       "광주광산경찰서    기타   3   0       43    85  1398"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2015.tail(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "1e9d2a5a",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "관서명\n",
       "광주지방경찰청계     True\n",
       "광주지방경찰청계    False\n",
       "광주지방경찰청계    False\n",
       "광주지방경찰청계    False\n",
       "광주지방경찰청계    False\n",
       "광주지방경찰청계    False\n",
       "광주동부경찰서      True\n",
       "광주동부경찰서     False\n",
       "광주동부경찰서     False\n",
       "광주동부경찰서     False\n",
       "광주동부경찰서     False\n",
       "광주동부경찰서     False\n",
       "광주서부경찰서      True\n",
       "광주서부경찰서     False\n",
       "광주서부경찰서     False\n",
       "광주서부경찰서     False\n",
       "광주서부경찰서     False\n",
       "광주서부경찰서     False\n",
       "광주남부경찰서      True\n",
       "광주남부경찰서     False\n",
       "광주남부경찰서     False\n",
       "광주남부경찰서     False\n",
       "광주남부경찰서     False\n",
       "광주남부경찰서     False\n",
       "광주북부경찰서      True\n",
       "광주북부경찰서     False\n",
       "광주북부경찰서     False\n",
       "광주북부경찰서     False\n",
       "광주북부경찰서     False\n",
       "광주북부경찰서     False\n",
       "광주광산경찰서      True\n",
       "광주광산경찰서     False\n",
       "광주광산경찰서     False\n",
       "광주광산경찰서     False\n",
       "광주광산경찰서     False\n",
       "광주광산경찰서     False\n",
       "Name: 구분, dtype: bool"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 불리언(T/F)\n",
    "df2015['구분'] == '발생건수'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "id": "6d5aaeda",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 불리언 인덱싱 (조건 필터링)\n",
    "df2015_crime = df2015[df2015['구분'] == '발생건수'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "id": "fd7a5308",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2016\n",
    "# F 키 찾기\n",
    "df2016_crime = df2016[df2016['구분'] == '발생건수'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "id": "a5c57d72",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2017\n",
    "df2017_crime = df2017[df2017['구분'] == '발생건수'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "id": "d7342db6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2017총계</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>광주지방경찰청계</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>725</td>\n",
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       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>624</td>\n",
       "      <td>1090</td>\n",
       "      <td>3598</td>\n",
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       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
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       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>196</td>\n",
       "      <td>1142</td>\n",
       "      <td>2293</td>\n",
       "      <td>7276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>68</td>\n",
       "      <td>577</td>\n",
       "      <td>898</td>\n",
       "      <td>3094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>215</td>\n",
       "      <td>1546</td>\n",
       "      <td>2176</td>\n",
       "      <td>7890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>169</td>\n",
       "      <td>927</td>\n",
       "      <td>1909</td>\n",
       "      <td>6040</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도    폭력  2017총계\n",
       "관서명                                                \n",
       "광주지방경찰청계  발생건수   9  33      725  4816  8366   27898\n",
       "광주동부경찰서   발생건수   3   5       77   624  1090    3598\n",
       "광주서부경찰서   발생건수   0   7      196  1142  2293    7276\n",
       "광주남부경찰서   발생건수   0   4       68   577   898    3094\n",
       "광주북부경찰서   발생건수   3   5      215  1546  2176    7890\n",
       "광주광산경찰서   발생건수   3  12      169   927  1909    6040"
      ]
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2017_crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3435c57",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 인덱싱 기법\n",
    "#df2015_crime[['살인', '구분','강도']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "id": "16da8a13",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>구분</th>\n",
       "      <th>살인</th>\n",
       "      <th>강도</th>\n",
       "      <th>강간·강제추행</th>\n",
       "      <th>절도</th>\n",
       "      <th>폭력</th>\n",
       "      <th>2015총계</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관서명</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>18</td>\n",
       "      <td>44</td>\n",
       "      <td>750</td>\n",
       "      <td>8425</td>\n",
       "      <td>9593</td>\n",
       "      <td>18830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>92</td>\n",
       "      <td>1100</td>\n",
       "      <td>1155</td>\n",
       "      <td>2355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>172</td>\n",
       "      <td>2050</td>\n",
       "      <td>2483</td>\n",
       "      <td>4720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>70</td>\n",
       "      <td>962</td>\n",
       "      <td>1081</td>\n",
       "      <td>2117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>256</td>\n",
       "      <td>2570</td>\n",
       "      <td>2621</td>\n",
       "      <td>5466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>160</td>\n",
       "      <td>1743</td>\n",
       "      <td>2253</td>\n",
       "      <td>4172</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도    폭력  2015총계\n",
       "관서명                                                \n",
       "광주지방경찰청계  발생건수  18  44      750  8425  9593   18830\n",
       "광주동부경찰서   발생건수   3   5       92  1100  1155    2355\n",
       "광주서부경찰서   발생건수   5  10      172  2050  2483    4720\n",
       "광주남부경찰서   발생건수   1   3       70   962  1081    2117\n",
       "광주북부경찰서   발생건수   5  14      256  2570  2621    5466\n",
       "광주광산경찰서   발생건수   4  12      160  1743  2253    4172"
      ]
     },
     "execution_count": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2015총계, 2016총계, 2017총계\n",
    "df2015_crime['2015총계'] = np.sum(df2015_crime.loc[:,'살인':], axis = 1)\n",
    "df2015_crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "id": "ac6d336c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>17</td>\n",
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       "      <td>11</td>\n",
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       "      <td>1417</td>\n",
       "      <td>2288</td>\n",
       "      <td>3892</td>\n",
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       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
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       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>64</td>\n",
       "      <td>768</td>\n",
       "      <td>1028</td>\n",
       "      <td>1865</td>\n",
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       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>205</td>\n",
       "      <td>1788</td>\n",
       "      <td>2142</td>\n",
       "      <td>4148</td>\n",
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       "      <th>광주광산경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>5</td>\n",
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       "      <td>1247</td>\n",
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      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도    폭력  2016총계\n",
       "관서명                                                \n",
       "광주지방경찰청계  발생건수  17  47      701  6052  8599   15416\n",
       "광주동부경찰서   발생건수   3   8       83   832  1142    2068\n",
       "광주서부경찰서   발생건수   2  11      174  1417  2288    3892\n",
       "광주남부경찰서   발생건수   1   4       64   768  1028    1865\n",
       "광주북부경찰서   발생건수   6   7      205  1788  2142    4148\n",
       "광주광산경찰서   발생건수   5  17      175  1247  1999    3443"
      ]
     },
     "execution_count": 297,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2016_crime['2016총계'] = np.sum(df2016_crime.loc[:,'살인':], axis = 1)\n",
    "df2016_crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "id": "15dd9d57",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <td>9</td>\n",
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       "      <td>4</td>\n",
       "      <td>68</td>\n",
       "      <td>577</td>\n",
       "      <td>898</td>\n",
       "      <td>1547</td>\n",
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       "      <th>광주북부경찰서</th>\n",
       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>215</td>\n",
       "      <td>1546</td>\n",
       "      <td>2176</td>\n",
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       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
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       "      <td>169</td>\n",
       "      <td>927</td>\n",
       "      <td>1909</td>\n",
       "      <td>3020</td>\n",
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      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도    폭력  2017총계\n",
       "관서명                                                \n",
       "광주지방경찰청계  발생건수   9  33      725  4816  8366   13949\n",
       "광주동부경찰서   발생건수   3   5       77   624  1090    1799\n",
       "광주서부경찰서   발생건수   0   7      196  1142  2293    3638\n",
       "광주남부경찰서   발생건수   0   4       68   577   898    1547\n",
       "광주북부경찰서   발생건수   3   5      215  1546  2176    3945\n",
       "광주광산경찰서   발생건수   3  12      169   927  1909    3020"
      ]
     },
     "execution_count": 298,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2017_crime['2017총계'] = np.sum(df2017_crime.loc[:,'살인':], axis = 1)\n",
    "df2017_crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "id": "88951487",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2015_crime = df2015_crime.drop('총계', axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1aa9cb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df2015_crime.loc[:,'살인':].sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "id": "c49b45da",
   "metadata": {},
   "outputs": [
    {
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       "      <th>광주북부경찰서</th>\n",
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       "      <td>3</td>\n",
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       "      <td>발생건수</td>\n",
       "      <td>3</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "            구분  살인  강도  강간·강제추행    절도    폭력  2017총계\n",
       "관서명                                                \n",
       "광주지방경찰청계  발생건수   9  33      725  4816  8366   13949\n",
       "광주동부경찰서   발생건수   3   5       77   624  1090    1799\n",
       "광주서부경찰서   발생건수   0   7      196  1142  2293    3638\n",
       "광주남부경찰서   발생건수   0   4       68   577   898    1547\n",
       "광주북부경찰서   발생건수   3   5      215  1546  2176    3945\n",
       "광주광산경찰서   발생건수   3  12      169   927  1909    3020"
      ]
     },
     "execution_count": 309,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df2017_crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66f10f43",
   "metadata": {},
   "outputs": [],
   "source": [
    "# copy\n",
    "a = [1, 2, 3, 4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "id": "9731d78b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "관서명\n",
      "광주지방경찰청계    18830\n",
      "광주동부경찰서      2355\n",
      "광주서부경찰서      4720\n",
      "광주남부경찰서      2117\n",
      "광주북부경찰서      5466\n",
      "광주광산경찰서      4172\n",
      "Name: 2015총계, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# t2017, t2016, t2015 변수에 2015(6,7)총계 컬럼 담기\n",
    "t2015 = df2015_crime['2015총계']\n",
    "print(t2015)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "id": "feedc89d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "관서명\n",
      "광주지방경찰청계    15416\n",
      "광주동부경찰서      2068\n",
      "광주서부경찰서      3892\n",
      "광주남부경찰서      1865\n",
      "광주북부경찰서      4148\n",
      "광주광산경찰서      3443\n",
      "Name: 2016총계, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "t2016 = df2016_crime['2016총계']\n",
    "print(t2016)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "id": "2306bec7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "관서명\n",
      "광주지방경찰청계    13949\n",
      "광주동부경찰서      1799\n",
      "광주서부경찰서      3638\n",
      "광주남부경찰서      1547\n",
      "광주북부경찰서      3945\n",
      "광주광산경찰서      3020\n",
      "Name: 2017총계, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "t2017 = df2017_crime['2017총계']\n",
    "print(t2017)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab4bab43",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2015-2016 증감율, 2016-2017 증감율\n",
    "# p1, p2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "id": "af7b9a41",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "관서명\n",
      "광주지방경찰청계   -18.130643\n",
      "광주동부경찰서    -12.186837\n",
      "광주서부경찰서    -17.542373\n",
      "광주남부경찰서    -11.903637\n",
      "광주북부경찰서    -24.112697\n",
      "광주광산경찰서    -17.473634\n",
      "dtype: float64\n",
      "관서명\n",
      "광주지방경찰청계    -9.516087\n",
      "광주동부경찰서    -13.007737\n",
      "광주서부경찰서     -6.526208\n",
      "광주남부경찰서    -17.050938\n",
      "광주북부경찰서     -4.893925\n",
      "광주광산경찰서    -12.285797\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "p1 = (t2016 - t2015) / t2015 * 100\n",
    "p2 = (t2017 - t2016) / t2016 * 100\n",
    "print(p1)\n",
    "print(p2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "id": "be237917",
   "metadata": {},
   "outputs": [],
   "source": [
    "p2.name = '2016_2017증감율'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "id": "ef69f140",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "관서명\n",
       "광주지방경찰청계   -54.758044\n",
       "광주동부경찰서    -56.503868\n",
       "광주서부경찰서    -53.263104\n",
       "광주남부경찰서    -58.525469\n",
       "광주북부경찰서    -52.446962\n",
       "광주광산경찰서    -56.142899\n",
       "Name: 2016_2017증감율, dtype: float64"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "id": "110d957c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "관서명\n",
       "광주지방경찰청계   -18.130643\n",
       "광주동부경찰서    -12.186837\n",
       "광주서부경찰서    -17.542373\n",
       "광주남부경찰서    -11.903637\n",
       "광주북부경찰서    -24.112697\n",
       "광주광산경찰서    -17.473634\n",
       "Name: 2015_2016증감율, dtype: float64"
      ]
     },
     "execution_count": 307,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1.name = '2015_2016증감율'\n",
    "p1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "id": "9fa2923b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "관서명\n",
       "광주지방경찰청계    27898\n",
       "광주동부경찰서      3598\n",
       "광주서부경찰서      7276\n",
       "광주남부경찰서      3094\n",
       "광주북부경찰서      7890\n",
       "광주광산경찰서      6040\n",
       "Name: 2017총계, dtype: int64"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "id": "6895533d",
   "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>2015총계</th>\n",
       "      <th>2015_2016증감율</th>\n",
       "      <th>2016총계</th>\n",
       "      <th>2016_2017증감율</th>\n",
       "      <th>2017총계</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관서명</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>광주지방경찰청계</th>\n",
       "      <td>18830</td>\n",
       "      <td>-18.130643</td>\n",
       "      <td>15416</td>\n",
       "      <td>-9.516087</td>\n",
       "      <td>13949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주동부경찰서</th>\n",
       "      <td>2355</td>\n",
       "      <td>-12.186837</td>\n",
       "      <td>2068</td>\n",
       "      <td>-13.007737</td>\n",
       "      <td>1799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주서부경찰서</th>\n",
       "      <td>4720</td>\n",
       "      <td>-17.542373</td>\n",
       "      <td>3892</td>\n",
       "      <td>-6.526208</td>\n",
       "      <td>3638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주남부경찰서</th>\n",
       "      <td>2117</td>\n",
       "      <td>-11.903637</td>\n",
       "      <td>1865</td>\n",
       "      <td>-17.050938</td>\n",
       "      <td>1547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주북부경찰서</th>\n",
       "      <td>5466</td>\n",
       "      <td>-24.112697</td>\n",
       "      <td>4148</td>\n",
       "      <td>-4.893925</td>\n",
       "      <td>3945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주광산경찰서</th>\n",
       "      <td>4172</td>\n",
       "      <td>-17.473634</td>\n",
       "      <td>3443</td>\n",
       "      <td>-12.285797</td>\n",
       "      <td>3020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          2015총계  2015_2016증감율  2016총계  2016_2017증감율  2017총계\n",
       "관서명                                                         \n",
       "광주지방경찰청계   18830    -18.130643   15416     -9.516087   13949\n",
       "광주동부경찰서     2355    -12.186837    2068    -13.007737    1799\n",
       "광주서부경찰서     4720    -17.542373    3892     -6.526208    3638\n",
       "광주남부경찰서     2117    -11.903637    1865    -17.050938    1547\n",
       "광주북부경찰서     5466    -24.112697    4148     -4.893925    3945\n",
       "광주광산경찰서     4172    -17.473634    3443    -12.285797    3020"
      ]
     },
     "execution_count": 308,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DataFrame 병합\n",
    "pd.concat([t2015, p1, t2016, p2, t2017], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82b15c43",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "3694cb5f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "83df6311",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c357cc2",
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "539d7111",
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   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eadf69e6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f14170e5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "941d23cb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d430b8fc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61a83080",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f88a1faa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c53b7b9",
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "90356edc",
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "096d55fd",
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea5c8f77",
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6994da15",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "071e1724",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "528f39a5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "770c40bb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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