01-apt-price-q-and-a-unstack_tanspose_reset_index.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[인프런 - 공공데이터로 파이썬 데이터 분석 시작하기](https://www.inflearn.com/course/%EA%B3%B5%EA%B3%B5%EB%8D%B0%EC%9D%B4%ED%84%B0%EB%A1%9C-%ED%8C%8C%EC%9D%B4%EC%8D%AC-%EB%8D%B0%EC%9D%B4%ED%84%B0-%EB%B6%84%EC%84%9D-%EC%8B%9C%EC%9E%91%ED%95%98%EA%B8%B0) 의 질문에 대한 답변 입니다.\n",
    "\n",
    "* [Reshaping and pivot tables — pandas documentation](https://pandas.pydata.org/docs/user_guide/reshaping.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 전체 Data에서 필요한 부분만 뽑아 낸 다음에 , Tiny Data로 만들고 시각화 하는 과정에서 \n",
    "# 언제는 unstack과 transpose를 사용하고, 언제는 reset_index를 사용하시는데\n",
    "# 각각 언제 어떤 방법을 사용하는지 궁금합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "# sns.set(font=\"Malgun Gothic\")\n",
    "sns.set(font=\"AppleGothic\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17, 22)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_first = pd.read_csv(\"data/전국 평균 분양가격(2013년 9월부터 2015년 8월까지).csv\", \n",
    "                       encoding=\"cp949\")\n",
    "df_first.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\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>지역</th>\n",
       "      <th>2013년12월</th>\n",
       "      <th>2014년1월</th>\n",
       "      <th>2014년2월</th>\n",
       "      <th>2014년3월</th>\n",
       "      <th>2014년4월</th>\n",
       "      <th>2014년5월</th>\n",
       "      <th>2014년6월</th>\n",
       "      <th>2014년7월</th>\n",
       "      <th>2014년8월</th>\n",
       "      <th>...</th>\n",
       "      <th>2014년11월</th>\n",
       "      <th>2014년12월</th>\n",
       "      <th>2015년1월</th>\n",
       "      <th>2015년2월</th>\n",
       "      <th>2015년3월</th>\n",
       "      <th>2015년4월</th>\n",
       "      <th>2015년5월</th>\n",
       "      <th>2015년6월</th>\n",
       "      <th>2015년7월</th>\n",
       "      <th>2015년8월</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>서울</td>\n",
       "      <td>18189</td>\n",
       "      <td>17925</td>\n",
       "      <td>17925</td>\n",
       "      <td>18016</td>\n",
       "      <td>18098</td>\n",
       "      <td>19446</td>\n",
       "      <td>18867</td>\n",
       "      <td>18742</td>\n",
       "      <td>19274</td>\n",
       "      <td>...</td>\n",
       "      <td>20242</td>\n",
       "      <td>20269</td>\n",
       "      <td>20670</td>\n",
       "      <td>20670</td>\n",
       "      <td>19415</td>\n",
       "      <td>18842</td>\n",
       "      <td>18367</td>\n",
       "      <td>18374</td>\n",
       "      <td>18152</td>\n",
       "      <td>18443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>부산</td>\n",
       "      <td>8111</td>\n",
       "      <td>8111</td>\n",
       "      <td>9078</td>\n",
       "      <td>8965</td>\n",
       "      <td>9402</td>\n",
       "      <td>9501</td>\n",
       "      <td>9453</td>\n",
       "      <td>9457</td>\n",
       "      <td>9411</td>\n",
       "      <td>...</td>\n",
       "      <td>9208</td>\n",
       "      <td>9208</td>\n",
       "      <td>9204</td>\n",
       "      <td>9235</td>\n",
       "      <td>9279</td>\n",
       "      <td>9327</td>\n",
       "      <td>9345</td>\n",
       "      <td>9515</td>\n",
       "      <td>9559</td>\n",
       "      <td>9581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>대구</td>\n",
       "      <td>8080</td>\n",
       "      <td>8080</td>\n",
       "      <td>8077</td>\n",
       "      <td>8101</td>\n",
       "      <td>8267</td>\n",
       "      <td>8274</td>\n",
       "      <td>8360</td>\n",
       "      <td>8360</td>\n",
       "      <td>8370</td>\n",
       "      <td>...</td>\n",
       "      <td>8439</td>\n",
       "      <td>8253</td>\n",
       "      <td>8327</td>\n",
       "      <td>8416</td>\n",
       "      <td>8441</td>\n",
       "      <td>8446</td>\n",
       "      <td>8568</td>\n",
       "      <td>8542</td>\n",
       "      <td>8542</td>\n",
       "      <td>8795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>인천</td>\n",
       "      <td>10204</td>\n",
       "      <td>10204</td>\n",
       "      <td>10408</td>\n",
       "      <td>10408</td>\n",
       "      <td>10000</td>\n",
       "      <td>9844</td>\n",
       "      <td>10058</td>\n",
       "      <td>9974</td>\n",
       "      <td>9973</td>\n",
       "      <td>...</td>\n",
       "      <td>10020</td>\n",
       "      <td>10020</td>\n",
       "      <td>10017</td>\n",
       "      <td>9876</td>\n",
       "      <td>9876</td>\n",
       "      <td>9938</td>\n",
       "      <td>10551</td>\n",
       "      <td>10443</td>\n",
       "      <td>10443</td>\n",
       "      <td>10449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>광주</td>\n",
       "      <td>6098</td>\n",
       "      <td>7326</td>\n",
       "      <td>7611</td>\n",
       "      <td>7346</td>\n",
       "      <td>7346</td>\n",
       "      <td>7523</td>\n",
       "      <td>7659</td>\n",
       "      <td>7612</td>\n",
       "      <td>7622</td>\n",
       "      <td>...</td>\n",
       "      <td>7752</td>\n",
       "      <td>7748</td>\n",
       "      <td>7752</td>\n",
       "      <td>7756</td>\n",
       "      <td>7861</td>\n",
       "      <td>7914</td>\n",
       "      <td>7877</td>\n",
       "      <td>7881</td>\n",
       "      <td>8089</td>\n",
       "      <td>8231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>대전</td>\n",
       "      <td>8321</td>\n",
       "      <td>8321</td>\n",
       "      <td>8321</td>\n",
       "      <td>8341</td>\n",
       "      <td>8341</td>\n",
       "      <td>8341</td>\n",
       "      <td>8333</td>\n",
       "      <td>8333</td>\n",
       "      <td>8333</td>\n",
       "      <td>...</td>\n",
       "      <td>8067</td>\n",
       "      <td>8067</td>\n",
       "      <td>8067</td>\n",
       "      <td>8067</td>\n",
       "      <td>8067</td>\n",
       "      <td>8145</td>\n",
       "      <td>8272</td>\n",
       "      <td>8079</td>\n",
       "      <td>8079</td>\n",
       "      <td>8079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>울산</td>\n",
       "      <td>8090</td>\n",
       "      <td>8090</td>\n",
       "      <td>8090</td>\n",
       "      <td>8153</td>\n",
       "      <td>8153</td>\n",
       "      <td>8153</td>\n",
       "      <td>8153</td>\n",
       "      <td>8153</td>\n",
       "      <td>8493</td>\n",
       "      <td>...</td>\n",
       "      <td>8891</td>\n",
       "      <td>8891</td>\n",
       "      <td>8526</td>\n",
       "      <td>8526</td>\n",
       "      <td>8629</td>\n",
       "      <td>9380</td>\n",
       "      <td>9192</td>\n",
       "      <td>9190</td>\n",
       "      <td>9190</td>\n",
       "      <td>9215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>경기</td>\n",
       "      <td>10855</td>\n",
       "      <td>10855</td>\n",
       "      <td>10791</td>\n",
       "      <td>10784</td>\n",
       "      <td>10876</td>\n",
       "      <td>10646</td>\n",
       "      <td>10266</td>\n",
       "      <td>10124</td>\n",
       "      <td>10134</td>\n",
       "      <td>...</td>\n",
       "      <td>10356</td>\n",
       "      <td>10379</td>\n",
       "      <td>10391</td>\n",
       "      <td>10355</td>\n",
       "      <td>10469</td>\n",
       "      <td>10684</td>\n",
       "      <td>10685</td>\n",
       "      <td>10573</td>\n",
       "      <td>10518</td>\n",
       "      <td>10573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>세종</td>\n",
       "      <td>7601</td>\n",
       "      <td>7600</td>\n",
       "      <td>7532</td>\n",
       "      <td>7814</td>\n",
       "      <td>7908</td>\n",
       "      <td>7934</td>\n",
       "      <td>8067</td>\n",
       "      <td>8067</td>\n",
       "      <td>8141</td>\n",
       "      <td>...</td>\n",
       "      <td>8592</td>\n",
       "      <td>8560</td>\n",
       "      <td>8560</td>\n",
       "      <td>8560</td>\n",
       "      <td>8555</td>\n",
       "      <td>8546</td>\n",
       "      <td>8546</td>\n",
       "      <td>8671</td>\n",
       "      <td>8669</td>\n",
       "      <td>8695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>강원</td>\n",
       "      <td>6230</td>\n",
       "      <td>6230</td>\n",
       "      <td>6230</td>\n",
       "      <td>6141</td>\n",
       "      <td>6373</td>\n",
       "      <td>6350</td>\n",
       "      <td>6350</td>\n",
       "      <td>6268</td>\n",
       "      <td>6268</td>\n",
       "      <td>...</td>\n",
       "      <td>6365</td>\n",
       "      <td>6365</td>\n",
       "      <td>6348</td>\n",
       "      <td>6350</td>\n",
       "      <td>6182</td>\n",
       "      <td>6924</td>\n",
       "      <td>6846</td>\n",
       "      <td>6986</td>\n",
       "      <td>7019</td>\n",
       "      <td>7008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>충북</td>\n",
       "      <td>6589</td>\n",
       "      <td>6589</td>\n",
       "      <td>6611</td>\n",
       "      <td>6625</td>\n",
       "      <td>6678</td>\n",
       "      <td>6598</td>\n",
       "      <td>6587</td>\n",
       "      <td>6586</td>\n",
       "      <td>6586</td>\n",
       "      <td>...</td>\n",
       "      <td>6724</td>\n",
       "      <td>6743</td>\n",
       "      <td>6749</td>\n",
       "      <td>6747</td>\n",
       "      <td>6783</td>\n",
       "      <td>6790</td>\n",
       "      <td>6805</td>\n",
       "      <td>6682</td>\n",
       "      <td>6601</td>\n",
       "      <td>6603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>충남</td>\n",
       "      <td>6365</td>\n",
       "      <td>6365</td>\n",
       "      <td>6379</td>\n",
       "      <td>6287</td>\n",
       "      <td>6552</td>\n",
       "      <td>6591</td>\n",
       "      <td>6644</td>\n",
       "      <td>6805</td>\n",
       "      <td>6914</td>\n",
       "      <td>...</td>\n",
       "      <td>6940</td>\n",
       "      <td>6989</td>\n",
       "      <td>6976</td>\n",
       "      <td>6980</td>\n",
       "      <td>7161</td>\n",
       "      <td>7017</td>\n",
       "      <td>6975</td>\n",
       "      <td>6939</td>\n",
       "      <td>6935</td>\n",
       "      <td>6942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>전북</td>\n",
       "      <td>6282</td>\n",
       "      <td>6281</td>\n",
       "      <td>5946</td>\n",
       "      <td>5966</td>\n",
       "      <td>6277</td>\n",
       "      <td>6306</td>\n",
       "      <td>6351</td>\n",
       "      <td>6319</td>\n",
       "      <td>6436</td>\n",
       "      <td>...</td>\n",
       "      <td>6583</td>\n",
       "      <td>6583</td>\n",
       "      <td>6583</td>\n",
       "      <td>6583</td>\n",
       "      <td>6542</td>\n",
       "      <td>6551</td>\n",
       "      <td>6556</td>\n",
       "      <td>6601</td>\n",
       "      <td>6750</td>\n",
       "      <td>6580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>전남</td>\n",
       "      <td>5678</td>\n",
       "      <td>5678</td>\n",
       "      <td>5678</td>\n",
       "      <td>5696</td>\n",
       "      <td>5736</td>\n",
       "      <td>5656</td>\n",
       "      <td>5609</td>\n",
       "      <td>5780</td>\n",
       "      <td>5685</td>\n",
       "      <td>...</td>\n",
       "      <td>5768</td>\n",
       "      <td>5784</td>\n",
       "      <td>5784</td>\n",
       "      <td>5833</td>\n",
       "      <td>5825</td>\n",
       "      <td>5940</td>\n",
       "      <td>6050</td>\n",
       "      <td>6243</td>\n",
       "      <td>6286</td>\n",
       "      <td>6289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>경북</td>\n",
       "      <td>6168</td>\n",
       "      <td>6168</td>\n",
       "      <td>6234</td>\n",
       "      <td>6317</td>\n",
       "      <td>6412</td>\n",
       "      <td>6409</td>\n",
       "      <td>6554</td>\n",
       "      <td>6556</td>\n",
       "      <td>6563</td>\n",
       "      <td>...</td>\n",
       "      <td>6881</td>\n",
       "      <td>6989</td>\n",
       "      <td>6992</td>\n",
       "      <td>6953</td>\n",
       "      <td>6997</td>\n",
       "      <td>7006</td>\n",
       "      <td>6966</td>\n",
       "      <td>6887</td>\n",
       "      <td>7035</td>\n",
       "      <td>7037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>경남</td>\n",
       "      <td>6473</td>\n",
       "      <td>6485</td>\n",
       "      <td>6502</td>\n",
       "      <td>6610</td>\n",
       "      <td>6599</td>\n",
       "      <td>6610</td>\n",
       "      <td>6615</td>\n",
       "      <td>6613</td>\n",
       "      <td>6606</td>\n",
       "      <td>...</td>\n",
       "      <td>7125</td>\n",
       "      <td>7332</td>\n",
       "      <td>7592</td>\n",
       "      <td>7588</td>\n",
       "      <td>7668</td>\n",
       "      <td>7683</td>\n",
       "      <td>7717</td>\n",
       "      <td>7715</td>\n",
       "      <td>7723</td>\n",
       "      <td>7665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>제주</td>\n",
       "      <td>7674</td>\n",
       "      <td>7900</td>\n",
       "      <td>7900</td>\n",
       "      <td>7900</td>\n",
       "      <td>7900</td>\n",
       "      <td>7900</td>\n",
       "      <td>7914</td>\n",
       "      <td>7914</td>\n",
       "      <td>7914</td>\n",
       "      <td>...</td>\n",
       "      <td>7724</td>\n",
       "      <td>7739</td>\n",
       "      <td>7739</td>\n",
       "      <td>7739</td>\n",
       "      <td>7826</td>\n",
       "      <td>7285</td>\n",
       "      <td>7285</td>\n",
       "      <td>7343</td>\n",
       "      <td>7343</td>\n",
       "      <td>7343</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    지역  2013년12월  2014년1월  2014년2월  2014년3월  2014년4월  2014년5월  2014년6월  \\\n",
       "0   서울     18189    17925    17925    18016    18098    19446    18867   \n",
       "1   부산      8111     8111     9078     8965     9402     9501     9453   \n",
       "2   대구      8080     8080     8077     8101     8267     8274     8360   \n",
       "3   인천     10204    10204    10408    10408    10000     9844    10058   \n",
       "4   광주      6098     7326     7611     7346     7346     7523     7659   \n",
       "5   대전      8321     8321     8321     8341     8341     8341     8333   \n",
       "6   울산      8090     8090     8090     8153     8153     8153     8153   \n",
       "7   경기     10855    10855    10791    10784    10876    10646    10266   \n",
       "8   세종      7601     7600     7532     7814     7908     7934     8067   \n",
       "9   강원      6230     6230     6230     6141     6373     6350     6350   \n",
       "10  충북      6589     6589     6611     6625     6678     6598     6587   \n",
       "11  충남      6365     6365     6379     6287     6552     6591     6644   \n",
       "12  전북      6282     6281     5946     5966     6277     6306     6351   \n",
       "13  전남      5678     5678     5678     5696     5736     5656     5609   \n",
       "14  경북      6168     6168     6234     6317     6412     6409     6554   \n",
       "15  경남      6473     6485     6502     6610     6599     6610     6615   \n",
       "16  제주      7674     7900     7900     7900     7900     7900     7914   \n",
       "\n",
       "    2014년7월  2014년8월  ...  2014년11월  2014년12월  2015년1월  2015년2월  2015년3월  \\\n",
       "0     18742    19274  ...     20242     20269    20670    20670    19415   \n",
       "1      9457     9411  ...      9208      9208     9204     9235     9279   \n",
       "2      8360     8370  ...      8439      8253     8327     8416     8441   \n",
       "3      9974     9973  ...     10020     10020    10017     9876     9876   \n",
       "4      7612     7622  ...      7752      7748     7752     7756     7861   \n",
       "5      8333     8333  ...      8067      8067     8067     8067     8067   \n",
       "6      8153     8493  ...      8891      8891     8526     8526     8629   \n",
       "7     10124    10134  ...     10356     10379    10391    10355    10469   \n",
       "8      8067     8141  ...      8592      8560     8560     8560     8555   \n",
       "9      6268     6268  ...      6365      6365     6348     6350     6182   \n",
       "10     6586     6586  ...      6724      6743     6749     6747     6783   \n",
       "11     6805     6914  ...      6940      6989     6976     6980     7161   \n",
       "12     6319     6436  ...      6583      6583     6583     6583     6542   \n",
       "13     5780     5685  ...      5768      5784     5784     5833     5825   \n",
       "14     6556     6563  ...      6881      6989     6992     6953     6997   \n",
       "15     6613     6606  ...      7125      7332     7592     7588     7668   \n",
       "16     7914     7914  ...      7724      7739     7739     7739     7826   \n",
       "\n",
       "    2015년4월  2015년5월  2015년6월  2015년7월  2015년8월  \n",
       "0     18842    18367    18374    18152    18443  \n",
       "1      9327     9345     9515     9559     9581  \n",
       "2      8446     8568     8542     8542     8795  \n",
       "3      9938    10551    10443    10443    10449  \n",
       "4      7914     7877     7881     8089     8231  \n",
       "5      8145     8272     8079     8079     8079  \n",
       "6      9380     9192     9190     9190     9215  \n",
       "7     10684    10685    10573    10518    10573  \n",
       "8      8546     8546     8671     8669     8695  \n",
       "9      6924     6846     6986     7019     7008  \n",
       "10     6790     6805     6682     6601     6603  \n",
       "11     7017     6975     6939     6935     6942  \n",
       "12     6551     6556     6601     6750     6580  \n",
       "13     5940     6050     6243     6286     6289  \n",
       "14     7006     6966     6887     7035     7037  \n",
       "15     7683     7717     7715     7723     7665  \n",
       "16     7285     7285     7343     7343     7343  \n",
       "\n",
       "[17 rows x 22 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_first"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>지역</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>서울</td>\n",
       "      <td>2013년12월</td>\n",
       "      <td>18189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>부산</td>\n",
       "      <td>2013년12월</td>\n",
       "      <td>8111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>대구</td>\n",
       "      <td>2013년12월</td>\n",
       "      <td>8080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>인천</td>\n",
       "      <td>2013년12월</td>\n",
       "      <td>10204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>광주</td>\n",
       "      <td>2013년12월</td>\n",
       "      <td>6098</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   지역  variable  value\n",
       "0  서울  2013년12월  18189\n",
       "1  부산  2013년12월   8111\n",
       "2  대구  2013년12월   8080\n",
       "3  인천  2013년12월  10204\n",
       "4  광주  2013년12월   6098"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.melt(df_first, id_vars=[\"지역\"])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "지역  variable\n",
       "강원  2013년12월    6230\n",
       "    2014년10월    6631\n",
       "    2014년11월    6365\n",
       "    2014년12월    6365\n",
       "    2014년1월     6230\n",
       "                ... \n",
       "충북  2015년4월     6790\n",
       "    2015년5월     6805\n",
       "    2015년6월     6682\n",
       "    2015년7월     6601\n",
       "    2015년8월     6603\n",
       "Name: value, Length: 357, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group = df.groupby([\"지역\", \"variable\"])[\"value\"].sum()\n",
    "group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultiIndex([('강원', '2013년12월'),\n",
       "            ('강원', '2014년10월'),\n",
       "            ('강원', '2014년11월'),\n",
       "            ('강원', '2014년12월'),\n",
       "            ('강원',  '2014년1월'),\n",
       "            ('강원',  '2014년2월'),\n",
       "            ('강원',  '2014년3월'),\n",
       "            ('강원',  '2014년4월'),\n",
       "            ('강원',  '2014년5월'),\n",
       "            ('강원',  '2014년6월'),\n",
       "            ...\n",
       "            ('충북',  '2014년8월'),\n",
       "            ('충북',  '2014년9월'),\n",
       "            ('충북',  '2015년1월'),\n",
       "            ('충북',  '2015년2월'),\n",
       "            ('충북',  '2015년3월'),\n",
       "            ('충북',  '2015년4월'),\n",
       "            ('충북',  '2015년5월'),\n",
       "            ('충북',  '2015년6월'),\n",
       "            ('충북',  '2015년7월'),\n",
       "            ('충북',  '2015년8월')],\n",
       "           names=['지역', 'variable'], length=357)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffb6a579e50>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "group[:10].plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>variable</th>\n",
       "      <th>2013년12월</th>\n",
       "      <th>2014년10월</th>\n",
       "      <th>2014년11월</th>\n",
       "      <th>2014년12월</th>\n",
       "      <th>2014년1월</th>\n",
       "      <th>2014년2월</th>\n",
       "      <th>2014년3월</th>\n",
       "      <th>2014년4월</th>\n",
       "      <th>2014년5월</th>\n",
       "      <th>2014년6월</th>\n",
       "      <th>...</th>\n",
       "      <th>2014년8월</th>\n",
       "      <th>2014년9월</th>\n",
       "      <th>2015년1월</th>\n",
       "      <th>2015년2월</th>\n",
       "      <th>2015년3월</th>\n",
       "      <th>2015년4월</th>\n",
       "      <th>2015년5월</th>\n",
       "      <th>2015년6월</th>\n",
       "      <th>2015년7월</th>\n",
       "      <th>2015년8월</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>지역</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>강원</th>\n",
       "      <td>6230</td>\n",
       "      <td>6631</td>\n",
       "      <td>6365</td>\n",
       "      <td>6365</td>\n",
       "      <td>6230</td>\n",
       "      <td>6230</td>\n",
       "      <td>6141</td>\n",
       "      <td>6373</td>\n",
       "      <td>6350</td>\n",
       "      <td>6350</td>\n",
       "      <td>...</td>\n",
       "      <td>6268</td>\n",
       "      <td>6419</td>\n",
       "      <td>6348</td>\n",
       "      <td>6350</td>\n",
       "      <td>6182</td>\n",
       "      <td>6924</td>\n",
       "      <td>6846</td>\n",
       "      <td>6986</td>\n",
       "      <td>7019</td>\n",
       "      <td>7008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>경기</th>\n",
       "      <td>10855</td>\n",
       "      <td>10397</td>\n",
       "      <td>10356</td>\n",
       "      <td>10379</td>\n",
       "      <td>10855</td>\n",
       "      <td>10791</td>\n",
       "      <td>10784</td>\n",
       "      <td>10876</td>\n",
       "      <td>10646</td>\n",
       "      <td>10266</td>\n",
       "      <td>...</td>\n",
       "      <td>10134</td>\n",
       "      <td>10501</td>\n",
       "      <td>10391</td>\n",
       "      <td>10355</td>\n",
       "      <td>10469</td>\n",
       "      <td>10684</td>\n",
       "      <td>10685</td>\n",
       "      <td>10573</td>\n",
       "      <td>10518</td>\n",
       "      <td>10573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>경남</th>\n",
       "      <td>6473</td>\n",
       "      <td>6881</td>\n",
       "      <td>7125</td>\n",
       "      <td>7332</td>\n",
       "      <td>6485</td>\n",
       "      <td>6502</td>\n",
       "      <td>6610</td>\n",
       "      <td>6599</td>\n",
       "      <td>6610</td>\n",
       "      <td>6615</td>\n",
       "      <td>...</td>\n",
       "      <td>6606</td>\n",
       "      <td>6767</td>\n",
       "      <td>7592</td>\n",
       "      <td>7588</td>\n",
       "      <td>7668</td>\n",
       "      <td>7683</td>\n",
       "      <td>7717</td>\n",
       "      <td>7715</td>\n",
       "      <td>7723</td>\n",
       "      <td>7665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>경북</th>\n",
       "      <td>6168</td>\n",
       "      <td>6778</td>\n",
       "      <td>6881</td>\n",
       "      <td>6989</td>\n",
       "      <td>6168</td>\n",
       "      <td>6234</td>\n",
       "      <td>6317</td>\n",
       "      <td>6412</td>\n",
       "      <td>6409</td>\n",
       "      <td>6554</td>\n",
       "      <td>...</td>\n",
       "      <td>6563</td>\n",
       "      <td>6577</td>\n",
       "      <td>6992</td>\n",
       "      <td>6953</td>\n",
       "      <td>6997</td>\n",
       "      <td>7006</td>\n",
       "      <td>6966</td>\n",
       "      <td>6887</td>\n",
       "      <td>7035</td>\n",
       "      <td>7037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주</th>\n",
       "      <td>6098</td>\n",
       "      <td>7707</td>\n",
       "      <td>7752</td>\n",
       "      <td>7748</td>\n",
       "      <td>7326</td>\n",
       "      <td>7611</td>\n",
       "      <td>7346</td>\n",
       "      <td>7346</td>\n",
       "      <td>7523</td>\n",
       "      <td>7659</td>\n",
       "      <td>...</td>\n",
       "      <td>7622</td>\n",
       "      <td>7802</td>\n",
       "      <td>7752</td>\n",
       "      <td>7756</td>\n",
       "      <td>7861</td>\n",
       "      <td>7914</td>\n",
       "      <td>7877</td>\n",
       "      <td>7881</td>\n",
       "      <td>8089</td>\n",
       "      <td>8231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구</th>\n",
       "      <td>8080</td>\n",
       "      <td>8403</td>\n",
       "      <td>8439</td>\n",
       "      <td>8253</td>\n",
       "      <td>8080</td>\n",
       "      <td>8077</td>\n",
       "      <td>8101</td>\n",
       "      <td>8267</td>\n",
       "      <td>8274</td>\n",
       "      <td>8360</td>\n",
       "      <td>...</td>\n",
       "      <td>8370</td>\n",
       "      <td>8449</td>\n",
       "      <td>8327</td>\n",
       "      <td>8416</td>\n",
       "      <td>8441</td>\n",
       "      <td>8446</td>\n",
       "      <td>8568</td>\n",
       "      <td>8542</td>\n",
       "      <td>8542</td>\n",
       "      <td>8795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대전</th>\n",
       "      <td>8321</td>\n",
       "      <td>8038</td>\n",
       "      <td>8067</td>\n",
       "      <td>8067</td>\n",
       "      <td>8321</td>\n",
       "      <td>8321</td>\n",
       "      <td>8341</td>\n",
       "      <td>8341</td>\n",
       "      <td>8341</td>\n",
       "      <td>8333</td>\n",
       "      <td>...</td>\n",
       "      <td>8333</td>\n",
       "      <td>8048</td>\n",
       "      <td>8067</td>\n",
       "      <td>8067</td>\n",
       "      <td>8067</td>\n",
       "      <td>8145</td>\n",
       "      <td>8272</td>\n",
       "      <td>8079</td>\n",
       "      <td>8079</td>\n",
       "      <td>8079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부산</th>\n",
       "      <td>8111</td>\n",
       "      <td>9110</td>\n",
       "      <td>9208</td>\n",
       "      <td>9208</td>\n",
       "      <td>8111</td>\n",
       "      <td>9078</td>\n",
       "      <td>8965</td>\n",
       "      <td>9402</td>\n",
       "      <td>9501</td>\n",
       "      <td>9453</td>\n",
       "      <td>...</td>\n",
       "      <td>9411</td>\n",
       "      <td>9258</td>\n",
       "      <td>9204</td>\n",
       "      <td>9235</td>\n",
       "      <td>9279</td>\n",
       "      <td>9327</td>\n",
       "      <td>9345</td>\n",
       "      <td>9515</td>\n",
       "      <td>9559</td>\n",
       "      <td>9581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>18189</td>\n",
       "      <td>19759</td>\n",
       "      <td>20242</td>\n",
       "      <td>20269</td>\n",
       "      <td>17925</td>\n",
       "      <td>17925</td>\n",
       "      <td>18016</td>\n",
       "      <td>18098</td>\n",
       "      <td>19446</td>\n",
       "      <td>18867</td>\n",
       "      <td>...</td>\n",
       "      <td>19274</td>\n",
       "      <td>19404</td>\n",
       "      <td>20670</td>\n",
       "      <td>20670</td>\n",
       "      <td>19415</td>\n",
       "      <td>18842</td>\n",
       "      <td>18367</td>\n",
       "      <td>18374</td>\n",
       "      <td>18152</td>\n",
       "      <td>18443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>세종</th>\n",
       "      <td>7601</td>\n",
       "      <td>8527</td>\n",
       "      <td>8592</td>\n",
       "      <td>8560</td>\n",
       "      <td>7600</td>\n",
       "      <td>7532</td>\n",
       "      <td>7814</td>\n",
       "      <td>7908</td>\n",
       "      <td>7934</td>\n",
       "      <td>8067</td>\n",
       "      <td>...</td>\n",
       "      <td>8141</td>\n",
       "      <td>8282</td>\n",
       "      <td>8560</td>\n",
       "      <td>8560</td>\n",
       "      <td>8555</td>\n",
       "      <td>8546</td>\n",
       "      <td>8546</td>\n",
       "      <td>8671</td>\n",
       "      <td>8669</td>\n",
       "      <td>8695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>울산</th>\n",
       "      <td>8090</td>\n",
       "      <td>8627</td>\n",
       "      <td>8891</td>\n",
       "      <td>8891</td>\n",
       "      <td>8090</td>\n",
       "      <td>8090</td>\n",
       "      <td>8153</td>\n",
       "      <td>8153</td>\n",
       "      <td>8153</td>\n",
       "      <td>8153</td>\n",
       "      <td>...</td>\n",
       "      <td>8493</td>\n",
       "      <td>8493</td>\n",
       "      <td>8526</td>\n",
       "      <td>8526</td>\n",
       "      <td>8629</td>\n",
       "      <td>9380</td>\n",
       "      <td>9192</td>\n",
       "      <td>9190</td>\n",
       "      <td>9190</td>\n",
       "      <td>9215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천</th>\n",
       "      <td>10204</td>\n",
       "      <td>10016</td>\n",
       "      <td>10020</td>\n",
       "      <td>10020</td>\n",
       "      <td>10204</td>\n",
       "      <td>10408</td>\n",
       "      <td>10408</td>\n",
       "      <td>10000</td>\n",
       "      <td>9844</td>\n",
       "      <td>10058</td>\n",
       "      <td>...</td>\n",
       "      <td>9973</td>\n",
       "      <td>9973</td>\n",
       "      <td>10017</td>\n",
       "      <td>9876</td>\n",
       "      <td>9876</td>\n",
       "      <td>9938</td>\n",
       "      <td>10551</td>\n",
       "      <td>10443</td>\n",
       "      <td>10443</td>\n",
       "      <td>10449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전남</th>\n",
       "      <td>5678</td>\n",
       "      <td>5753</td>\n",
       "      <td>5768</td>\n",
       "      <td>5784</td>\n",
       "      <td>5678</td>\n",
       "      <td>5678</td>\n",
       "      <td>5696</td>\n",
       "      <td>5736</td>\n",
       "      <td>5656</td>\n",
       "      <td>5609</td>\n",
       "      <td>...</td>\n",
       "      <td>5685</td>\n",
       "      <td>5804</td>\n",
       "      <td>5784</td>\n",
       "      <td>5833</td>\n",
       "      <td>5825</td>\n",
       "      <td>5940</td>\n",
       "      <td>6050</td>\n",
       "      <td>6243</td>\n",
       "      <td>6286</td>\n",
       "      <td>6289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전북</th>\n",
       "      <td>6282</td>\n",
       "      <td>6581</td>\n",
       "      <td>6583</td>\n",
       "      <td>6583</td>\n",
       "      <td>6281</td>\n",
       "      <td>5946</td>\n",
       "      <td>5966</td>\n",
       "      <td>6277</td>\n",
       "      <td>6306</td>\n",
       "      <td>6351</td>\n",
       "      <td>...</td>\n",
       "      <td>6436</td>\n",
       "      <td>6719</td>\n",
       "      <td>6583</td>\n",
       "      <td>6583</td>\n",
       "      <td>6542</td>\n",
       "      <td>6551</td>\n",
       "      <td>6556</td>\n",
       "      <td>6601</td>\n",
       "      <td>6750</td>\n",
       "      <td>6580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>제주</th>\n",
       "      <td>7674</td>\n",
       "      <td>7724</td>\n",
       "      <td>7724</td>\n",
       "      <td>7739</td>\n",
       "      <td>7900</td>\n",
       "      <td>7900</td>\n",
       "      <td>7900</td>\n",
       "      <td>7900</td>\n",
       "      <td>7900</td>\n",
       "      <td>7914</td>\n",
       "      <td>...</td>\n",
       "      <td>7914</td>\n",
       "      <td>7833</td>\n",
       "      <td>7739</td>\n",
       "      <td>7739</td>\n",
       "      <td>7826</td>\n",
       "      <td>7285</td>\n",
       "      <td>7285</td>\n",
       "      <td>7343</td>\n",
       "      <td>7343</td>\n",
       "      <td>7343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>충남</th>\n",
       "      <td>6365</td>\n",
       "      <td>6831</td>\n",
       "      <td>6940</td>\n",
       "      <td>6989</td>\n",
       "      <td>6365</td>\n",
       "      <td>6379</td>\n",
       "      <td>6287</td>\n",
       "      <td>6552</td>\n",
       "      <td>6591</td>\n",
       "      <td>6644</td>\n",
       "      <td>...</td>\n",
       "      <td>6914</td>\n",
       "      <td>6882</td>\n",
       "      <td>6976</td>\n",
       "      <td>6980</td>\n",
       "      <td>7161</td>\n",
       "      <td>7017</td>\n",
       "      <td>6975</td>\n",
       "      <td>6939</td>\n",
       "      <td>6935</td>\n",
       "      <td>6942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>충북</th>\n",
       "      <td>6589</td>\n",
       "      <td>6529</td>\n",
       "      <td>6724</td>\n",
       "      <td>6743</td>\n",
       "      <td>6589</td>\n",
       "      <td>6611</td>\n",
       "      <td>6625</td>\n",
       "      <td>6678</td>\n",
       "      <td>6598</td>\n",
       "      <td>6587</td>\n",
       "      <td>...</td>\n",
       "      <td>6586</td>\n",
       "      <td>6584</td>\n",
       "      <td>6749</td>\n",
       "      <td>6747</td>\n",
       "      <td>6783</td>\n",
       "      <td>6790</td>\n",
       "      <td>6805</td>\n",
       "      <td>6682</td>\n",
       "      <td>6601</td>\n",
       "      <td>6603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "variable  2013년12월  2014년10월  2014년11월  2014년12월  2014년1월  2014년2월  2014년3월  \\\n",
       "지역                                                                            \n",
       "강원            6230      6631      6365      6365     6230     6230     6141   \n",
       "경기           10855     10397     10356     10379    10855    10791    10784   \n",
       "경남            6473      6881      7125      7332     6485     6502     6610   \n",
       "경북            6168      6778      6881      6989     6168     6234     6317   \n",
       "광주            6098      7707      7752      7748     7326     7611     7346   \n",
       "대구            8080      8403      8439      8253     8080     8077     8101   \n",
       "대전            8321      8038      8067      8067     8321     8321     8341   \n",
       "부산            8111      9110      9208      9208     8111     9078     8965   \n",
       "서울           18189     19759     20242     20269    17925    17925    18016   \n",
       "세종            7601      8527      8592      8560     7600     7532     7814   \n",
       "울산            8090      8627      8891      8891     8090     8090     8153   \n",
       "인천           10204     10016     10020     10020    10204    10408    10408   \n",
       "전남            5678      5753      5768      5784     5678     5678     5696   \n",
       "전북            6282      6581      6583      6583     6281     5946     5966   \n",
       "제주            7674      7724      7724      7739     7900     7900     7900   \n",
       "충남            6365      6831      6940      6989     6365     6379     6287   \n",
       "충북            6589      6529      6724      6743     6589     6611     6625   \n",
       "\n",
       "variable  2014년4월  2014년5월  2014년6월  ...  2014년8월  2014년9월  2015년1월  2015년2월  \\\n",
       "지역                                   ...                                       \n",
       "강원           6373     6350     6350  ...     6268     6419     6348     6350   \n",
       "경기          10876    10646    10266  ...    10134    10501    10391    10355   \n",
       "경남           6599     6610     6615  ...     6606     6767     7592     7588   \n",
       "경북           6412     6409     6554  ...     6563     6577     6992     6953   \n",
       "광주           7346     7523     7659  ...     7622     7802     7752     7756   \n",
       "대구           8267     8274     8360  ...     8370     8449     8327     8416   \n",
       "대전           8341     8341     8333  ...     8333     8048     8067     8067   \n",
       "부산           9402     9501     9453  ...     9411     9258     9204     9235   \n",
       "서울          18098    19446    18867  ...    19274    19404    20670    20670   \n",
       "세종           7908     7934     8067  ...     8141     8282     8560     8560   \n",
       "울산           8153     8153     8153  ...     8493     8493     8526     8526   \n",
       "인천          10000     9844    10058  ...     9973     9973    10017     9876   \n",
       "전남           5736     5656     5609  ...     5685     5804     5784     5833   \n",
       "전북           6277     6306     6351  ...     6436     6719     6583     6583   \n",
       "제주           7900     7900     7914  ...     7914     7833     7739     7739   \n",
       "충남           6552     6591     6644  ...     6914     6882     6976     6980   \n",
       "충북           6678     6598     6587  ...     6586     6584     6749     6747   \n",
       "\n",
       "variable  2015년3월  2015년4월  2015년5월  2015년6월  2015년7월  2015년8월  \n",
       "지역                                                              \n",
       "강원           6182     6924     6846     6986     7019     7008  \n",
       "경기          10469    10684    10685    10573    10518    10573  \n",
       "경남           7668     7683     7717     7715     7723     7665  \n",
       "경북           6997     7006     6966     6887     7035     7037  \n",
       "광주           7861     7914     7877     7881     8089     8231  \n",
       "대구           8441     8446     8568     8542     8542     8795  \n",
       "대전           8067     8145     8272     8079     8079     8079  \n",
       "부산           9279     9327     9345     9515     9559     9581  \n",
       "서울          19415    18842    18367    18374    18152    18443  \n",
       "세종           8555     8546     8546     8671     8669     8695  \n",
       "울산           8629     9380     9192     9190     9190     9215  \n",
       "인천           9876     9938    10551    10443    10443    10449  \n",
       "전남           5825     5940     6050     6243     6286     6289  \n",
       "전북           6542     6551     6556     6601     6750     6580  \n",
       "제주           7826     7285     7285     7343     7343     7343  \n",
       "충남           7161     7017     6975     6939     6935     6942  \n",
       "충북           6783     6790     6805     6682     6601     6603  \n",
       "\n",
       "[17 rows x 21 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_unstack = group.unstack()\n",
    "group_unstack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>지역</th>\n",
       "      <th>강원</th>\n",
       "      <th>경기</th>\n",
       "      <th>경남</th>\n",
       "      <th>경북</th>\n",
       "      <th>광주</th>\n",
       "      <th>대구</th>\n",
       "      <th>대전</th>\n",
       "      <th>부산</th>\n",
       "      <th>서울</th>\n",
       "      <th>세종</th>\n",
       "      <th>울산</th>\n",
       "      <th>인천</th>\n",
       "      <th>전남</th>\n",
       "      <th>전북</th>\n",
       "      <th>제주</th>\n",
       "      <th>충남</th>\n",
       "      <th>충북</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013년12월</th>\n",
       "      <td>6230</td>\n",
       "      <td>10855</td>\n",
       "      <td>6473</td>\n",
       "      <td>6168</td>\n",
       "      <td>6098</td>\n",
       "      <td>8080</td>\n",
       "      <td>8321</td>\n",
       "      <td>8111</td>\n",
       "      <td>18189</td>\n",
       "      <td>7601</td>\n",
       "      <td>8090</td>\n",
       "      <td>10204</td>\n",
       "      <td>5678</td>\n",
       "      <td>6282</td>\n",
       "      <td>7674</td>\n",
       "      <td>6365</td>\n",
       "      <td>6589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년10월</th>\n",
       "      <td>6631</td>\n",
       "      <td>10397</td>\n",
       "      <td>6881</td>\n",
       "      <td>6778</td>\n",
       "      <td>7707</td>\n",
       "      <td>8403</td>\n",
       "      <td>8038</td>\n",
       "      <td>9110</td>\n",
       "      <td>19759</td>\n",
       "      <td>8527</td>\n",
       "      <td>8627</td>\n",
       "      <td>10016</td>\n",
       "      <td>5753</td>\n",
       "      <td>6581</td>\n",
       "      <td>7724</td>\n",
       "      <td>6831</td>\n",
       "      <td>6529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년11월</th>\n",
       "      <td>6365</td>\n",
       "      <td>10356</td>\n",
       "      <td>7125</td>\n",
       "      <td>6881</td>\n",
       "      <td>7752</td>\n",
       "      <td>8439</td>\n",
       "      <td>8067</td>\n",
       "      <td>9208</td>\n",
       "      <td>20242</td>\n",
       "      <td>8592</td>\n",
       "      <td>8891</td>\n",
       "      <td>10020</td>\n",
       "      <td>5768</td>\n",
       "      <td>6583</td>\n",
       "      <td>7724</td>\n",
       "      <td>6940</td>\n",
       "      <td>6724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년12월</th>\n",
       "      <td>6365</td>\n",
       "      <td>10379</td>\n",
       "      <td>7332</td>\n",
       "      <td>6989</td>\n",
       "      <td>7748</td>\n",
       "      <td>8253</td>\n",
       "      <td>8067</td>\n",
       "      <td>9208</td>\n",
       "      <td>20269</td>\n",
       "      <td>8560</td>\n",
       "      <td>8891</td>\n",
       "      <td>10020</td>\n",
       "      <td>5784</td>\n",
       "      <td>6583</td>\n",
       "      <td>7739</td>\n",
       "      <td>6989</td>\n",
       "      <td>6743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년1월</th>\n",
       "      <td>6230</td>\n",
       "      <td>10855</td>\n",
       "      <td>6485</td>\n",
       "      <td>6168</td>\n",
       "      <td>7326</td>\n",
       "      <td>8080</td>\n",
       "      <td>8321</td>\n",
       "      <td>8111</td>\n",
       "      <td>17925</td>\n",
       "      <td>7600</td>\n",
       "      <td>8090</td>\n",
       "      <td>10204</td>\n",
       "      <td>5678</td>\n",
       "      <td>6281</td>\n",
       "      <td>7900</td>\n",
       "      <td>6365</td>\n",
       "      <td>6589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년2월</th>\n",
       "      <td>6230</td>\n",
       "      <td>10791</td>\n",
       "      <td>6502</td>\n",
       "      <td>6234</td>\n",
       "      <td>7611</td>\n",
       "      <td>8077</td>\n",
       "      <td>8321</td>\n",
       "      <td>9078</td>\n",
       "      <td>17925</td>\n",
       "      <td>7532</td>\n",
       "      <td>8090</td>\n",
       "      <td>10408</td>\n",
       "      <td>5678</td>\n",
       "      <td>5946</td>\n",
       "      <td>7900</td>\n",
       "      <td>6379</td>\n",
       "      <td>6611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년3월</th>\n",
       "      <td>6141</td>\n",
       "      <td>10784</td>\n",
       "      <td>6610</td>\n",
       "      <td>6317</td>\n",
       "      <td>7346</td>\n",
       "      <td>8101</td>\n",
       "      <td>8341</td>\n",
       "      <td>8965</td>\n",
       "      <td>18016</td>\n",
       "      <td>7814</td>\n",
       "      <td>8153</td>\n",
       "      <td>10408</td>\n",
       "      <td>5696</td>\n",
       "      <td>5966</td>\n",
       "      <td>7900</td>\n",
       "      <td>6287</td>\n",
       "      <td>6625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년4월</th>\n",
       "      <td>6373</td>\n",
       "      <td>10876</td>\n",
       "      <td>6599</td>\n",
       "      <td>6412</td>\n",
       "      <td>7346</td>\n",
       "      <td>8267</td>\n",
       "      <td>8341</td>\n",
       "      <td>9402</td>\n",
       "      <td>18098</td>\n",
       "      <td>7908</td>\n",
       "      <td>8153</td>\n",
       "      <td>10000</td>\n",
       "      <td>5736</td>\n",
       "      <td>6277</td>\n",
       "      <td>7900</td>\n",
       "      <td>6552</td>\n",
       "      <td>6678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년5월</th>\n",
       "      <td>6350</td>\n",
       "      <td>10646</td>\n",
       "      <td>6610</td>\n",
       "      <td>6409</td>\n",
       "      <td>7523</td>\n",
       "      <td>8274</td>\n",
       "      <td>8341</td>\n",
       "      <td>9501</td>\n",
       "      <td>19446</td>\n",
       "      <td>7934</td>\n",
       "      <td>8153</td>\n",
       "      <td>9844</td>\n",
       "      <td>5656</td>\n",
       "      <td>6306</td>\n",
       "      <td>7900</td>\n",
       "      <td>6591</td>\n",
       "      <td>6598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년6월</th>\n",
       "      <td>6350</td>\n",
       "      <td>10266</td>\n",
       "      <td>6615</td>\n",
       "      <td>6554</td>\n",
       "      <td>7659</td>\n",
       "      <td>8360</td>\n",
       "      <td>8333</td>\n",
       "      <td>9453</td>\n",
       "      <td>18867</td>\n",
       "      <td>8067</td>\n",
       "      <td>8153</td>\n",
       "      <td>10058</td>\n",
       "      <td>5609</td>\n",
       "      <td>6351</td>\n",
       "      <td>7914</td>\n",
       "      <td>6644</td>\n",
       "      <td>6587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년7월</th>\n",
       "      <td>6268</td>\n",
       "      <td>10124</td>\n",
       "      <td>6613</td>\n",
       "      <td>6556</td>\n",
       "      <td>7612</td>\n",
       "      <td>8360</td>\n",
       "      <td>8333</td>\n",
       "      <td>9457</td>\n",
       "      <td>18742</td>\n",
       "      <td>8067</td>\n",
       "      <td>8153</td>\n",
       "      <td>9974</td>\n",
       "      <td>5780</td>\n",
       "      <td>6319</td>\n",
       "      <td>7914</td>\n",
       "      <td>6805</td>\n",
       "      <td>6586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년8월</th>\n",
       "      <td>6268</td>\n",
       "      <td>10134</td>\n",
       "      <td>6606</td>\n",
       "      <td>6563</td>\n",
       "      <td>7622</td>\n",
       "      <td>8370</td>\n",
       "      <td>8333</td>\n",
       "      <td>9411</td>\n",
       "      <td>19274</td>\n",
       "      <td>8141</td>\n",
       "      <td>8493</td>\n",
       "      <td>9973</td>\n",
       "      <td>5685</td>\n",
       "      <td>6436</td>\n",
       "      <td>7914</td>\n",
       "      <td>6914</td>\n",
       "      <td>6586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년9월</th>\n",
       "      <td>6419</td>\n",
       "      <td>10501</td>\n",
       "      <td>6767</td>\n",
       "      <td>6577</td>\n",
       "      <td>7802</td>\n",
       "      <td>8449</td>\n",
       "      <td>8048</td>\n",
       "      <td>9258</td>\n",
       "      <td>19404</td>\n",
       "      <td>8282</td>\n",
       "      <td>8493</td>\n",
       "      <td>9973</td>\n",
       "      <td>5804</td>\n",
       "      <td>6719</td>\n",
       "      <td>7833</td>\n",
       "      <td>6882</td>\n",
       "      <td>6584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년1월</th>\n",
       "      <td>6348</td>\n",
       "      <td>10391</td>\n",
       "      <td>7592</td>\n",
       "      <td>6992</td>\n",
       "      <td>7752</td>\n",
       "      <td>8327</td>\n",
       "      <td>8067</td>\n",
       "      <td>9204</td>\n",
       "      <td>20670</td>\n",
       "      <td>8560</td>\n",
       "      <td>8526</td>\n",
       "      <td>10017</td>\n",
       "      <td>5784</td>\n",
       "      <td>6583</td>\n",
       "      <td>7739</td>\n",
       "      <td>6976</td>\n",
       "      <td>6749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년2월</th>\n",
       "      <td>6350</td>\n",
       "      <td>10355</td>\n",
       "      <td>7588</td>\n",
       "      <td>6953</td>\n",
       "      <td>7756</td>\n",
       "      <td>8416</td>\n",
       "      <td>8067</td>\n",
       "      <td>9235</td>\n",
       "      <td>20670</td>\n",
       "      <td>8560</td>\n",
       "      <td>8526</td>\n",
       "      <td>9876</td>\n",
       "      <td>5833</td>\n",
       "      <td>6583</td>\n",
       "      <td>7739</td>\n",
       "      <td>6980</td>\n",
       "      <td>6747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년3월</th>\n",
       "      <td>6182</td>\n",
       "      <td>10469</td>\n",
       "      <td>7668</td>\n",
       "      <td>6997</td>\n",
       "      <td>7861</td>\n",
       "      <td>8441</td>\n",
       "      <td>8067</td>\n",
       "      <td>9279</td>\n",
       "      <td>19415</td>\n",
       "      <td>8555</td>\n",
       "      <td>8629</td>\n",
       "      <td>9876</td>\n",
       "      <td>5825</td>\n",
       "      <td>6542</td>\n",
       "      <td>7826</td>\n",
       "      <td>7161</td>\n",
       "      <td>6783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년4월</th>\n",
       "      <td>6924</td>\n",
       "      <td>10684</td>\n",
       "      <td>7683</td>\n",
       "      <td>7006</td>\n",
       "      <td>7914</td>\n",
       "      <td>8446</td>\n",
       "      <td>8145</td>\n",
       "      <td>9327</td>\n",
       "      <td>18842</td>\n",
       "      <td>8546</td>\n",
       "      <td>9380</td>\n",
       "      <td>9938</td>\n",
       "      <td>5940</td>\n",
       "      <td>6551</td>\n",
       "      <td>7285</td>\n",
       "      <td>7017</td>\n",
       "      <td>6790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년5월</th>\n",
       "      <td>6846</td>\n",
       "      <td>10685</td>\n",
       "      <td>7717</td>\n",
       "      <td>6966</td>\n",
       "      <td>7877</td>\n",
       "      <td>8568</td>\n",
       "      <td>8272</td>\n",
       "      <td>9345</td>\n",
       "      <td>18367</td>\n",
       "      <td>8546</td>\n",
       "      <td>9192</td>\n",
       "      <td>10551</td>\n",
       "      <td>6050</td>\n",
       "      <td>6556</td>\n",
       "      <td>7285</td>\n",
       "      <td>6975</td>\n",
       "      <td>6805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년6월</th>\n",
       "      <td>6986</td>\n",
       "      <td>10573</td>\n",
       "      <td>7715</td>\n",
       "      <td>6887</td>\n",
       "      <td>7881</td>\n",
       "      <td>8542</td>\n",
       "      <td>8079</td>\n",
       "      <td>9515</td>\n",
       "      <td>18374</td>\n",
       "      <td>8671</td>\n",
       "      <td>9190</td>\n",
       "      <td>10443</td>\n",
       "      <td>6243</td>\n",
       "      <td>6601</td>\n",
       "      <td>7343</td>\n",
       "      <td>6939</td>\n",
       "      <td>6682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년7월</th>\n",
       "      <td>7019</td>\n",
       "      <td>10518</td>\n",
       "      <td>7723</td>\n",
       "      <td>7035</td>\n",
       "      <td>8089</td>\n",
       "      <td>8542</td>\n",
       "      <td>8079</td>\n",
       "      <td>9559</td>\n",
       "      <td>18152</td>\n",
       "      <td>8669</td>\n",
       "      <td>9190</td>\n",
       "      <td>10443</td>\n",
       "      <td>6286</td>\n",
       "      <td>6750</td>\n",
       "      <td>7343</td>\n",
       "      <td>6935</td>\n",
       "      <td>6601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년8월</th>\n",
       "      <td>7008</td>\n",
       "      <td>10573</td>\n",
       "      <td>7665</td>\n",
       "      <td>7037</td>\n",
       "      <td>8231</td>\n",
       "      <td>8795</td>\n",
       "      <td>8079</td>\n",
       "      <td>9581</td>\n",
       "      <td>18443</td>\n",
       "      <td>8695</td>\n",
       "      <td>9215</td>\n",
       "      <td>10449</td>\n",
       "      <td>6289</td>\n",
       "      <td>6580</td>\n",
       "      <td>7343</td>\n",
       "      <td>6942</td>\n",
       "      <td>6603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "지역          강원     경기    경남    경북    광주    대구    대전    부산     서울    세종    울산  \\\n",
       "variable                                                                       \n",
       "2013년12월  6230  10855  6473  6168  6098  8080  8321  8111  18189  7601  8090   \n",
       "2014년10월  6631  10397  6881  6778  7707  8403  8038  9110  19759  8527  8627   \n",
       "2014년11월  6365  10356  7125  6881  7752  8439  8067  9208  20242  8592  8891   \n",
       "2014년12월  6365  10379  7332  6989  7748  8253  8067  9208  20269  8560  8891   \n",
       "2014년1월   6230  10855  6485  6168  7326  8080  8321  8111  17925  7600  8090   \n",
       "2014년2월   6230  10791  6502  6234  7611  8077  8321  9078  17925  7532  8090   \n",
       "2014년3월   6141  10784  6610  6317  7346  8101  8341  8965  18016  7814  8153   \n",
       "2014년4월   6373  10876  6599  6412  7346  8267  8341  9402  18098  7908  8153   \n",
       "2014년5월   6350  10646  6610  6409  7523  8274  8341  9501  19446  7934  8153   \n",
       "2014년6월   6350  10266  6615  6554  7659  8360  8333  9453  18867  8067  8153   \n",
       "2014년7월   6268  10124  6613  6556  7612  8360  8333  9457  18742  8067  8153   \n",
       "2014년8월   6268  10134  6606  6563  7622  8370  8333  9411  19274  8141  8493   \n",
       "2014년9월   6419  10501  6767  6577  7802  8449  8048  9258  19404  8282  8493   \n",
       "2015년1월   6348  10391  7592  6992  7752  8327  8067  9204  20670  8560  8526   \n",
       "2015년2월   6350  10355  7588  6953  7756  8416  8067  9235  20670  8560  8526   \n",
       "2015년3월   6182  10469  7668  6997  7861  8441  8067  9279  19415  8555  8629   \n",
       "2015년4월   6924  10684  7683  7006  7914  8446  8145  9327  18842  8546  9380   \n",
       "2015년5월   6846  10685  7717  6966  7877  8568  8272  9345  18367  8546  9192   \n",
       "2015년6월   6986  10573  7715  6887  7881  8542  8079  9515  18374  8671  9190   \n",
       "2015년7월   7019  10518  7723  7035  8089  8542  8079  9559  18152  8669  9190   \n",
       "2015년8월   7008  10573  7665  7037  8231  8795  8079  9581  18443  8695  9215   \n",
       "\n",
       "지역           인천    전남    전북    제주    충남    충북  \n",
       "variable                                       \n",
       "2013년12월  10204  5678  6282  7674  6365  6589  \n",
       "2014년10월  10016  5753  6581  7724  6831  6529  \n",
       "2014년11월  10020  5768  6583  7724  6940  6724  \n",
       "2014년12월  10020  5784  6583  7739  6989  6743  \n",
       "2014년1월   10204  5678  6281  7900  6365  6589  \n",
       "2014년2월   10408  5678  5946  7900  6379  6611  \n",
       "2014년3월   10408  5696  5966  7900  6287  6625  \n",
       "2014년4월   10000  5736  6277  7900  6552  6678  \n",
       "2014년5월    9844  5656  6306  7900  6591  6598  \n",
       "2014년6월   10058  5609  6351  7914  6644  6587  \n",
       "2014년7월    9974  5780  6319  7914  6805  6586  \n",
       "2014년8월    9973  5685  6436  7914  6914  6586  \n",
       "2014년9월    9973  5804  6719  7833  6882  6584  \n",
       "2015년1월   10017  5784  6583  7739  6976  6749  \n",
       "2015년2월    9876  5833  6583  7739  6980  6747  \n",
       "2015년3월    9876  5825  6542  7826  7161  6783  \n",
       "2015년4월    9938  5940  6551  7285  7017  6790  \n",
       "2015년5월   10551  6050  6556  7285  6975  6805  \n",
       "2015년6월   10443  6243  6601  7343  6939  6682  \n",
       "2015년7월   10443  6286  6750  7343  6935  6601  \n",
       "2015년8월   10449  6289  6580  7343  6942  6603  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_unstack.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffb6b5c2690>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "group_unstack.transpose().plot(figsize=(15, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(group)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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></th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>지역</th>\n",
       "      <th>variable</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">강원</th>\n",
       "      <th>2013년12월</th>\n",
       "      <td>6230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년10월</th>\n",
       "      <td>6631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년11월</th>\n",
       "      <td>6365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년12월</th>\n",
       "      <td>6365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014년1월</th>\n",
       "      <td>6230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">충북</th>\n",
       "      <th>2015년4월</th>\n",
       "      <td>6790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년5월</th>\n",
       "      <td>6805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년6월</th>\n",
       "      <td>6682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년7월</th>\n",
       "      <td>6601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년8월</th>\n",
       "      <td>6603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>357 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             value\n",
       "지역 variable       \n",
       "강원 2013년12월   6230\n",
       "   2014년10월   6631\n",
       "   2014년11월   6365\n",
       "   2014년12월   6365\n",
       "   2014년1월    6230\n",
       "...            ...\n",
       "충북 2015년4월    6790\n",
       "   2015년5월    6805\n",
       "   2015년6월    6682\n",
       "   2015년7월    6601\n",
       "   2015년8월    6603\n",
       "\n",
       "[357 rows x 1 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group.to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2013년12월</th>\n",
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       "    <tr>\n",
       "      <th>2014년10월</th>\n",
       "      <td>6631</td>\n",
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       "      <th>2014년11월</th>\n",
       "      <td>6365</td>\n",
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       "      <th>2014년12월</th>\n",
       "      <td>6365</td>\n",
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       "      <th>2014년1월</th>\n",
       "      <td>6230</td>\n",
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       "      <th>2015년4월</th>\n",
       "      <td>6790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년5월</th>\n",
       "      <td>6805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년6월</th>\n",
       "      <td>6682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년7월</th>\n",
       "      <td>6601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015년8월</th>\n",
       "      <td>6603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>357 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             value\n",
       "지역 variable       \n",
       "강원 2013년12월   6230\n",
       "   2014년10월   6631\n",
       "   2014년11월   6365\n",
       "   2014년12월   6365\n",
       "   2014년1월    6230\n",
       "...            ...\n",
       "충북 2015년4월    6790\n",
       "   2015년5월    6805\n",
       "   2015년6월    6682\n",
       "   2015년7월    6601\n",
       "   2015년8월    6603\n",
       "\n",
       "[357 rows x 1 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(group)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>1</th>\n",
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       "      <td>2014년10월</td>\n",
       "      <td>6631</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>2014년11월</td>\n",
       "      <td>6365</td>\n",
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       "      <th>3</th>\n",
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       "      <td>2014년12월</td>\n",
       "      <td>6365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>강원</td>\n",
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       "      <td>6230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>충북</td>\n",
       "      <td>2015년4월</td>\n",
       "      <td>6790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>충북</td>\n",
       "      <td>2015년5월</td>\n",
       "      <td>6805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>충북</td>\n",
       "      <td>2015년6월</td>\n",
       "      <td>6682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>충북</td>\n",
       "      <td>2015년7월</td>\n",
       "      <td>6601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>충북</td>\n",
       "      <td>2015년8월</td>\n",
       "      <td>6603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>357 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     지역  variable  value\n",
       "0    강원  2013년12월   6230\n",
       "1    강원  2014년10월   6631\n",
       "2    강원  2014년11월   6365\n",
       "3    강원  2014년12월   6365\n",
       "4    강원   2014년1월   6230\n",
       "..   ..       ...    ...\n",
       "352  충북   2015년4월   6790\n",
       "353  충북   2015년5월   6805\n",
       "354  충북   2015년6월   6682\n",
       "355  충북   2015년7월   6601\n",
       "356  충북   2015년8월   6603\n",
       "\n",
       "[357 rows x 3 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_group = group.reset_index()\n",
    "df_group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ffb6b808f50>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(15, 4))\n",
    "sns.lineplot(data=df_group, x=\"variable\", y=\"value\", hue=\"지역\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}