울산 전처리(시간대별 energy & 가장 최근 예보).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import timedelta\n",
    "from glob import glob\n",
    "\n",
    "#pip install plotly\n",
    "import plotly.express as px\n",
    "\n",
    "pd.options.plotting.backend='plotly'\n",
    "\n",
    "import plotly.io as pio\n",
    "pio.renderers.default=\"notebook_connected\"\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import chart_studio.plotly as py\n",
    "import cufflinks as cf\n",
    "cf.go_offline(connected=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#pip install cufflinks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#pip install chart_studio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "site_info = pd.read_csv(\"site_info.csv\") # 발전소 정보\n",
    "energy = pd.read_csv(\"energy.csv\") # 발전소별 발전량\n",
    "\n",
    "dangjin_fcst_data = pd.read_csv(\"dangjin_fcst_data.csv\") # 당진 예보 데이터\n",
    "dangjin_obs_data = pd.read_csv(\"dangjin_obs_data.csv\") # 당진 기상 관측 자료\n",
    "\n",
    "ulsan_fcst_data = pd.read_csv(\"ulsan_fcst_data.csv\") # 울산 예보 데이터\n",
    "ulsan_obs_data = pd.read_csv(\"ulsan_obs_data.csv\") # 울산 기상 관측 자료\n",
    "\n",
    "sample_submission = pd.read_csv(\"sample_submission.csv\") # 제출 양식"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>forecast</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>WindSpeed</th>\n",
       "      <th>WindDirection</th>\n",
       "      <th>Cloud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>162208.000000</td>\n",
       "      <td>162208.000000</td>\n",
       "      <td>162208.000000</td>\n",
       "      <td>162208.000000</td>\n",
       "      <td>162208.000000</td>\n",
       "      <td>162208.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>30.675676</td>\n",
       "      <td>12.624634</td>\n",
       "      <td>76.996147</td>\n",
       "      <td>3.639262</td>\n",
       "      <td>214.147761</td>\n",
       "      <td>2.439411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>16.714755</td>\n",
       "      <td>9.816256</td>\n",
       "      <td>17.435418</td>\n",
       "      <td>2.627592</td>\n",
       "      <td>108.020035</td>\n",
       "      <td>1.214753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>-14.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>31.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>237.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>43.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>313.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>67.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>32.299999</td>\n",
       "      <td>360.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            forecast    Temperature       Humidity      WindSpeed  \\\n",
       "count  162208.000000  162208.000000  162208.000000  162208.000000   \n",
       "mean       30.675676      12.624634      76.996147       3.639262   \n",
       "std        16.714755       9.816256      17.435418       2.627592   \n",
       "min         4.000000     -14.000000       5.000000       0.000000   \n",
       "25%        16.000000       4.000000      65.000000       1.900000   \n",
       "50%        31.000000      13.000000      80.000000       2.800000   \n",
       "75%        43.000000      21.000000      90.000000       4.600000   \n",
       "max        67.000000      36.000000     100.000000      32.299999   \n",
       "\n",
       "       WindDirection          Cloud  \n",
       "count  162208.000000  162208.000000  \n",
       "mean      214.147761       2.439411  \n",
       "std       108.020035       1.214753  \n",
       "min         0.000000       1.000000  \n",
       "25%       115.000000       1.000000  \n",
       "50%       237.000000       3.000000  \n",
       "75%       313.000000       4.000000  \n",
       "max       360.000000       4.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dangjin_fcst_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "energy_pure=energy.iloc[:,1:]\n",
    "energy['total']=energy_pure.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-03-01 1:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-01 2:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-01 3:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-01 4:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-01 5:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018-03-01 6:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2018-03-01 7:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2018-03-01 8:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2018-03-01 9:00:00</td>\n",
       "      <td>36.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>37</td>\n",
       "      <td>35</td>\n",
       "      <td>141.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-03-01 10:00:00</td>\n",
       "      <td>313.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>318</td>\n",
       "      <td>71</td>\n",
       "      <td>911.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>532.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>490</td>\n",
       "      <td>82</td>\n",
       "      <td>1400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2018-03-01 12:00:00</td>\n",
       "      <td>607.0</td>\n",
       "      <td>315.0</td>\n",
       "      <td>550</td>\n",
       "      <td>334</td>\n",
       "      <td>1806.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2018-03-01 13:00:00</td>\n",
       "      <td>614.0</td>\n",
       "      <td>474.0</td>\n",
       "      <td>727</td>\n",
       "      <td>372</td>\n",
       "      <td>2187.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "      <td>608.0</td>\n",
       "      <td>544.0</td>\n",
       "      <td>733</td>\n",
       "      <td>346</td>\n",
       "      <td>2231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2018-03-01 15:00:00</td>\n",
       "      <td>641.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>672</td>\n",
       "      <td>318</td>\n",
       "      <td>2127.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2018-03-01 16:00:00</td>\n",
       "      <td>536.0</td>\n",
       "      <td>391.0</td>\n",
       "      <td>546</td>\n",
       "      <td>258</td>\n",
       "      <td>1731.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2018-03-01 17:00:00</td>\n",
       "      <td>348.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>364</td>\n",
       "      <td>160</td>\n",
       "      <td>1143.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2018-03-01 18:00:00</td>\n",
       "      <td>134.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>110</td>\n",
       "      <td>30</td>\n",
       "      <td>354.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2018-03-01 19:00:00</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2018-03-01 20:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   time  dangjin_floating  dangjin_warehouse  dangjin  ulsan  \\\n",
       "0    2018-03-01 1:00:00               0.0                0.0        0      0   \n",
       "1    2018-03-01 2:00:00               0.0                0.0        0      0   \n",
       "2    2018-03-01 3:00:00               0.0                0.0        0      0   \n",
       "3    2018-03-01 4:00:00               0.0                0.0        0      0   \n",
       "4    2018-03-01 5:00:00               0.0                0.0        0      0   \n",
       "5    2018-03-01 6:00:00               0.0                0.0        0      0   \n",
       "6    2018-03-01 7:00:00               0.0                0.0        0      0   \n",
       "7    2018-03-01 8:00:00               0.0                0.0        0      4   \n",
       "8    2018-03-01 9:00:00              36.0               33.0       37     35   \n",
       "9   2018-03-01 10:00:00             313.0              209.0      318     71   \n",
       "10  2018-03-01 11:00:00             532.0              296.0      490     82   \n",
       "11  2018-03-01 12:00:00             607.0              315.0      550    334   \n",
       "12  2018-03-01 13:00:00             614.0              474.0      727    372   \n",
       "13  2018-03-01 14:00:00             608.0              544.0      733    346   \n",
       "14  2018-03-01 15:00:00             641.0              496.0      672    318   \n",
       "15  2018-03-01 16:00:00             536.0              391.0      546    258   \n",
       "16  2018-03-01 17:00:00             348.0              271.0      364    160   \n",
       "17  2018-03-01 18:00:00             134.0               80.0      110     30   \n",
       "18  2018-03-01 19:00:00              11.0                2.0        0      0   \n",
       "19  2018-03-01 20:00:00               0.0                0.0        0      0   \n",
       "\n",
       "     total  \n",
       "0      0.0  \n",
       "1      0.0  \n",
       "2      0.0  \n",
       "3      0.0  \n",
       "4      0.0  \n",
       "5      0.0  \n",
       "6      0.0  \n",
       "7      4.0  \n",
       "8    141.0  \n",
       "9    911.0  \n",
       "10  1400.0  \n",
       "11  1806.0  \n",
       "12  2187.0  \n",
       "13  2231.0  \n",
       "14  2127.0  \n",
       "15  1731.0  \n",
       "16  1143.0  \n",
       "17   354.0  \n",
       "18    13.0  \n",
       "19     0.0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 25632 entries, 0 to 25631\n",
      "Data columns (total 6 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   time               25632 non-null  object \n",
      " 1   dangjin_floating   25608 non-null  float64\n",
      " 2   dangjin_warehouse  25584 non-null  float64\n",
      " 3   dangjin            25632 non-null  int64  \n",
      " 4   ulsan              25632 non-null  int64  \n",
      " 5   total              25632 non-null  float64\n",
      "dtypes: float64(3), int64(2), object(1)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "energy.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 당진 floating 과 당진 warehouse에는 na가 존재한다 \n",
    "### na를 살펴보고 시작한다"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20352</th>\n",
       "      <td>2020-06-26 1:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20353</th>\n",
       "      <td>2020-06-26 2:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20354</th>\n",
       "      <td>2020-06-26 3:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20355</th>\n",
       "      <td>2020-06-26 4:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20356</th>\n",
       "      <td>2020-06-26 5:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20357</th>\n",
       "      <td>2020-06-26 6:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20358</th>\n",
       "      <td>2020-06-26 7:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20359</th>\n",
       "      <td>2020-06-26 8:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>18</td>\n",
       "      <td>50</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20360</th>\n",
       "      <td>2020-06-26 9:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148.0</td>\n",
       "      <td>175</td>\n",
       "      <td>161</td>\n",
       "      <td>484.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20361</th>\n",
       "      <td>2020-06-26 10:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>242.0</td>\n",
       "      <td>330</td>\n",
       "      <td>170</td>\n",
       "      <td>742.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20362</th>\n",
       "      <td>2020-06-26 11:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>371.0</td>\n",
       "      <td>534</td>\n",
       "      <td>283</td>\n",
       "      <td>1188.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20363</th>\n",
       "      <td>2020-06-26 12:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>415.0</td>\n",
       "      <td>590</td>\n",
       "      <td>318</td>\n",
       "      <td>1323.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20364</th>\n",
       "      <td>2020-06-26 13:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>484.0</td>\n",
       "      <td>691</td>\n",
       "      <td>334</td>\n",
       "      <td>1509.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20365</th>\n",
       "      <td>2020-06-26 14:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>459.0</td>\n",
       "      <td>669</td>\n",
       "      <td>331</td>\n",
       "      <td>1459.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20366</th>\n",
       "      <td>2020-06-26 15:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>449.0</td>\n",
       "      <td>647</td>\n",
       "      <td>303</td>\n",
       "      <td>1399.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20367</th>\n",
       "      <td>2020-06-26 16:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>380.0</td>\n",
       "      <td>552</td>\n",
       "      <td>248</td>\n",
       "      <td>1180.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20368</th>\n",
       "      <td>2020-06-26 17:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>311.0</td>\n",
       "      <td>447</td>\n",
       "      <td>190</td>\n",
       "      <td>948.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20369</th>\n",
       "      <td>2020-06-26 18:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>165.0</td>\n",
       "      <td>253</td>\n",
       "      <td>101</td>\n",
       "      <td>519.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20370</th>\n",
       "      <td>2020-06-26 19:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>57</td>\n",
       "      <td>29</td>\n",
       "      <td>123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20371</th>\n",
       "      <td>2020-06-26 20:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20372</th>\n",
       "      <td>2020-06-26 21:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20373</th>\n",
       "      <td>2020-06-26 22:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20374</th>\n",
       "      <td>2020-06-26 23:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20375</th>\n",
       "      <td>2020-06-26 24:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      time  dangjin_floating  dangjin_warehouse  dangjin  \\\n",
       "20352   2020-06-26 1:00:00               NaN                0.0        0   \n",
       "20353   2020-06-26 2:00:00               NaN                0.0        0   \n",
       "20354   2020-06-26 3:00:00               NaN                0.0        0   \n",
       "20355   2020-06-26 4:00:00               NaN                0.0        0   \n",
       "20356   2020-06-26 5:00:00               NaN                0.0        0   \n",
       "20357   2020-06-26 6:00:00               NaN                0.0        0   \n",
       "20358   2020-06-26 7:00:00               NaN                7.0        2   \n",
       "20359   2020-06-26 8:00:00               NaN               20.0       18   \n",
       "20360   2020-06-26 9:00:00               NaN              148.0      175   \n",
       "20361  2020-06-26 10:00:00               NaN              242.0      330   \n",
       "20362  2020-06-26 11:00:00               NaN              371.0      534   \n",
       "20363  2020-06-26 12:00:00               NaN              415.0      590   \n",
       "20364  2020-06-26 13:00:00               NaN              484.0      691   \n",
       "20365  2020-06-26 14:00:00               NaN              459.0      669   \n",
       "20366  2020-06-26 15:00:00               NaN              449.0      647   \n",
       "20367  2020-06-26 16:00:00               NaN              380.0      552   \n",
       "20368  2020-06-26 17:00:00               NaN              311.0      447   \n",
       "20369  2020-06-26 18:00:00               NaN              165.0      253   \n",
       "20370  2020-06-26 19:00:00               NaN               37.0       57   \n",
       "20371  2020-06-26 20:00:00               NaN                2.0        0   \n",
       "20372  2020-06-26 21:00:00               NaN                0.0        0   \n",
       "20373  2020-06-26 22:00:00               NaN                0.0        0   \n",
       "20374  2020-06-26 23:00:00               NaN                0.0        0   \n",
       "20375  2020-06-26 24:00:00               NaN                0.0        0   \n",
       "\n",
       "       ulsan   total  \n",
       "20352      0     0.0  \n",
       "20353      0     0.0  \n",
       "20354      0     0.0  \n",
       "20355      0     0.0  \n",
       "20356      0     0.0  \n",
       "20357      0     0.0  \n",
       "20358      7    16.0  \n",
       "20359     50    88.0  \n",
       "20360    161   484.0  \n",
       "20361    170   742.0  \n",
       "20362    283  1188.0  \n",
       "20363    318  1323.0  \n",
       "20364    334  1509.0  \n",
       "20365    331  1459.0  \n",
       "20366    303  1399.0  \n",
       "20367    248  1180.0  \n",
       "20368    190   948.0  \n",
       "20369    101   519.0  \n",
       "20370     29   123.0  \n",
       "20371      1     3.0  \n",
       "20372      0     0.0  \n",
       "20373      0     0.0  \n",
       "20374      0     0.0  \n",
       "20375      0     0.0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 당진floating의 na값을 살펴본다\n",
    "# 2020-06-26 하루 동안 측정이 되지 않았음을 알 수 있다.\n",
    "energy[energy['dangjin_floating'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>time</th>\n",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2018-03-17 1:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2018-03-17 2:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>2018-03-17 3:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>2018-03-17 4:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>2018-03-17 5:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>2018-03-17 6:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2018-03-17 7:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>2018-03-17 8:00:00</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>2018-03-17 9:00:00</td>\n",
       "      <td>162.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>177</td>\n",
       "      <td>57</td>\n",
       "      <td>396.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>2018-03-17 10:00:00</td>\n",
       "      <td>363.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>348</td>\n",
       "      <td>206</td>\n",
       "      <td>917.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>2018-03-17 11:00:00</td>\n",
       "      <td>548.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>532</td>\n",
       "      <td>278</td>\n",
       "      <td>1358.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>2018-03-17 12:00:00</td>\n",
       "      <td>689.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>631</td>\n",
       "      <td>309</td>\n",
       "      <td>1629.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>2018-03-17 13:00:00</td>\n",
       "      <td>616.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>688</td>\n",
       "      <td>366</td>\n",
       "      <td>1670.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>2018-03-17 14:00:00</td>\n",
       "      <td>615.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>706</td>\n",
       "      <td>368</td>\n",
       "      <td>1689.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>2018-03-17 15:00:00</td>\n",
       "      <td>689.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>658</td>\n",
       "      <td>330</td>\n",
       "      <td>1677.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>2018-03-17 16:00:00</td>\n",
       "      <td>578.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>542</td>\n",
       "      <td>272</td>\n",
       "      <td>1392.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>2018-03-17 17:00:00</td>\n",
       "      <td>319.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>272</td>\n",
       "      <td>157</td>\n",
       "      <td>748.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>2018-03-17 18:00:00</td>\n",
       "      <td>139.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>48</td>\n",
       "      <td>290.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>2018-03-17 19:00:00</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>2018-03-17 20:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>2018-03-17 21:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>2018-03-17 22:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>2018-03-17 23:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>2018-03-17 24:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>2018-03-18 1:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>2018-03-18 2:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>2018-03-18 3:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>2018-03-18 4:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>2018-03-18 5:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>2018-03-18 6:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>2018-03-18 7:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>2018-03-18 8:00:00</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>2018-03-18 9:00:00</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>113</td>\n",
       "      <td>174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>2018-03-18 10:00:00</td>\n",
       "      <td>112.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>199</td>\n",
       "      <td>414.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>2018-03-18 11:00:00</td>\n",
       "      <td>154.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>137</td>\n",
       "      <td>259</td>\n",
       "      <td>550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>2018-03-18 12:00:00</td>\n",
       "      <td>219.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>189</td>\n",
       "      <td>255</td>\n",
       "      <td>663.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>2018-03-18 13:00:00</td>\n",
       "      <td>208.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>187</td>\n",
       "      <td>300</td>\n",
       "      <td>695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>2018-03-18 14:00:00</td>\n",
       "      <td>265.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>223</td>\n",
       "      <td>326</td>\n",
       "      <td>814.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>2018-03-18 15:00:00</td>\n",
       "      <td>168.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127</td>\n",
       "      <td>241</td>\n",
       "      <td>536.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>2018-03-18 16:00:00</td>\n",
       "      <td>114.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92</td>\n",
       "      <td>91</td>\n",
       "      <td>297.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>2018-03-18 17:00:00</td>\n",
       "      <td>120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99</td>\n",
       "      <td>44</td>\n",
       "      <td>263.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>2018-03-18 18:00:00</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>2018-03-18 19:00:00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>2018-03-18 20:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>2018-03-18 21:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>2018-03-18 22:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>2018-03-18 23:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>2018-03-18 24:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    time  dangjin_floating  dangjin_warehouse  dangjin  ulsan  \\\n",
       "384   2018-03-17 1:00:00               0.0                NaN        0      0   \n",
       "385   2018-03-17 2:00:00               0.0                NaN        0      0   \n",
       "386   2018-03-17 3:00:00               0.0                NaN        0      0   \n",
       "387   2018-03-17 4:00:00               0.0                NaN        0      0   \n",
       "388   2018-03-17 5:00:00               0.0                NaN        0      0   \n",
       "389   2018-03-17 6:00:00               0.0                NaN        0      0   \n",
       "390   2018-03-17 7:00:00               0.0                NaN        0      0   \n",
       "391   2018-03-17 8:00:00              24.0                NaN       16     13   \n",
       "392   2018-03-17 9:00:00             162.0                NaN      177     57   \n",
       "393  2018-03-17 10:00:00             363.0                NaN      348    206   \n",
       "394  2018-03-17 11:00:00             548.0                NaN      532    278   \n",
       "395  2018-03-17 12:00:00             689.0                NaN      631    309   \n",
       "396  2018-03-17 13:00:00             616.0                NaN      688    366   \n",
       "397  2018-03-17 14:00:00             615.0                NaN      706    368   \n",
       "398  2018-03-17 15:00:00             689.0                NaN      658    330   \n",
       "399  2018-03-17 16:00:00             578.0                NaN      542    272   \n",
       "400  2018-03-17 17:00:00             319.0                NaN      272    157   \n",
       "401  2018-03-17 18:00:00             139.0                NaN      103     48   \n",
       "402  2018-03-17 19:00:00              19.0                NaN        3      3   \n",
       "403  2018-03-17 20:00:00               0.0                NaN        0      0   \n",
       "404  2018-03-17 21:00:00               0.0                NaN        0      0   \n",
       "405  2018-03-17 22:00:00               0.0                NaN        0      0   \n",
       "406  2018-03-17 23:00:00               0.0                NaN        0      0   \n",
       "407  2018-03-17 24:00:00               0.0                NaN        0      0   \n",
       "408   2018-03-18 1:00:00               0.0                NaN        0      0   \n",
       "409   2018-03-18 2:00:00               0.0                NaN        0      0   \n",
       "410   2018-03-18 3:00:00               0.0                NaN        0      0   \n",
       "411   2018-03-18 4:00:00               0.0                NaN        0      0   \n",
       "412   2018-03-18 5:00:00               0.0                NaN        0      0   \n",
       "413   2018-03-18 6:00:00               0.0                NaN        0      0   \n",
       "414   2018-03-18 7:00:00               0.0                NaN        0      0   \n",
       "415   2018-03-18 8:00:00               8.0                NaN        0     37   \n",
       "416   2018-03-18 9:00:00              36.0                NaN       25    113   \n",
       "417  2018-03-18 10:00:00             112.0                NaN      103    199   \n",
       "418  2018-03-18 11:00:00             154.0                NaN      137    259   \n",
       "419  2018-03-18 12:00:00             219.0                NaN      189    255   \n",
       "420  2018-03-18 13:00:00             208.0                NaN      187    300   \n",
       "421  2018-03-18 14:00:00             265.0                NaN      223    326   \n",
       "422  2018-03-18 15:00:00             168.0                NaN      127    241   \n",
       "423  2018-03-18 16:00:00             114.0                NaN       92     91   \n",
       "424  2018-03-18 17:00:00             120.0                NaN       99     44   \n",
       "425  2018-03-18 18:00:00              24.0                NaN        2     19   \n",
       "426  2018-03-18 19:00:00               2.0                NaN        0      0   \n",
       "427  2018-03-18 20:00:00               0.0                NaN        0      0   \n",
       "428  2018-03-18 21:00:00               0.0                NaN        0      0   \n",
       "429  2018-03-18 22:00:00               0.0                NaN        0      0   \n",
       "430  2018-03-18 23:00:00               0.0                NaN        0      0   \n",
       "431  2018-03-18 24:00:00               0.0                NaN        0      0   \n",
       "\n",
       "      total  \n",
       "384     0.0  \n",
       "385     0.0  \n",
       "386     0.0  \n",
       "387     0.0  \n",
       "388     0.0  \n",
       "389     0.0  \n",
       "390     0.0  \n",
       "391    53.0  \n",
       "392   396.0  \n",
       "393   917.0  \n",
       "394  1358.0  \n",
       "395  1629.0  \n",
       "396  1670.0  \n",
       "397  1689.0  \n",
       "398  1677.0  \n",
       "399  1392.0  \n",
       "400   748.0  \n",
       "401   290.0  \n",
       "402    25.0  \n",
       "403     0.0  \n",
       "404     0.0  \n",
       "405     0.0  \n",
       "406     0.0  \n",
       "407     0.0  \n",
       "408     0.0  \n",
       "409     0.0  \n",
       "410     0.0  \n",
       "411     0.0  \n",
       "412     0.0  \n",
       "413     0.0  \n",
       "414     0.0  \n",
       "415    45.0  \n",
       "416   174.0  \n",
       "417   414.0  \n",
       "418   550.0  \n",
       "419   663.0  \n",
       "420   695.0  \n",
       "421   814.0  \n",
       "422   536.0  \n",
       "423   297.0  \n",
       "424   263.0  \n",
       "425    45.0  \n",
       "426     2.0  \n",
       "427     0.0  \n",
       "428     0.0  \n",
       "429     0.0  \n",
       "430     0.0  \n",
       "431     0.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 당진 warehouse의 na값은 2018-03-17 & 2018-03-18 에 측정이 안됐음을 알 수 있다.\n",
    "energy[energy['dangjin_warehouse'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 원본데이터를 참고하려했으나 원본데이터에도 존재하지 않는다\n",
    "\n",
    "## 우선 울산에 focus를 맞춘다"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "320.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 평가 기준이 되는 10% capacity 생성\n",
    "total=1000+700+1000+500\n",
    "LB=0.1*total\n",
    "LB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 울산 생산량 중에 1자리일 댸 total이 항상 10% 미만이지 않을까 싶어 eda해본다\n",
    "# 하지만 당진과 울산의 기상상황이 달라서인지 total이상의 생산량이 많이 보인다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "ulsan_E=energy[energy['ulsan']<10]\n",
    "ulsan_E=ulsan_E[ulsan_E['ulsan']>0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
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       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "\n",
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       "var notebookContainer = gd.closest('#notebook-container');\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ulsan_E['total'].iplot(kind='line')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 시간으로 분류를해본다\n",
    "\n",
    "energy['date'] = energy['time'].apply(lambda x: x.split()[0])\n",
    "energy['time'] = energy['time'].apply(lambda x: x.split()[1])\n",
    "energy['time'] = energy['time'].str.rjust(8,'0') # 한자릿수 시간 앞에 0 추가 ex) 3시 -> 03시\n",
    "\n",
    "# 24시를 00시로 바꿔주기\n",
    "energy.loc[energy['time']=='24:00:00','time'] = '00:00:00'\n",
    "energy['time'] = energy['date'] + ' ' + energy['time']\n",
    "energy['time'] = pd.to_datetime(energy['time'])\n",
    "energy.loc[energy['time'].dt.hour==0,'time'] += timedelta(days=1)\n",
    "\n",
    "\n",
    "\n",
    "energy['year']=energy['time'].dt.year\n",
    "energy['month']=energy['time'].dt.month\n",
    "energy['day']=energy['time'].dt.day\n",
    "energy['hour']=energy['time'].dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
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       "      <th>day</th>\n",
       "      <th>hour</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-03-01 01:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-01 02:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-01 03:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-01 04:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-01 05:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018-03-01 06:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2018-03-01 07:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2018-03-01 08:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2018-03-01 09:00:00</td>\n",
       "      <td>36.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>37</td>\n",
       "      <td>35</td>\n",
       "      <td>141.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-03-01 10:00:00</td>\n",
       "      <td>313.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>318</td>\n",
       "      <td>71</td>\n",
       "      <td>911.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 time  dangjin_floating  dangjin_warehouse  dangjin  ulsan  \\\n",
       "0 2018-03-01 01:00:00               0.0                0.0        0      0   \n",
       "1 2018-03-01 02:00:00               0.0                0.0        0      0   \n",
       "2 2018-03-01 03:00:00               0.0                0.0        0      0   \n",
       "3 2018-03-01 04:00:00               0.0                0.0        0      0   \n",
       "4 2018-03-01 05:00:00               0.0                0.0        0      0   \n",
       "5 2018-03-01 06:00:00               0.0                0.0        0      0   \n",
       "6 2018-03-01 07:00:00               0.0                0.0        0      0   \n",
       "7 2018-03-01 08:00:00               0.0                0.0        0      4   \n",
       "8 2018-03-01 09:00:00              36.0               33.0       37     35   \n",
       "9 2018-03-01 10:00:00             313.0              209.0      318     71   \n",
       "\n",
       "   total        date  year  month  day  hour  \n",
       "0    0.0  2018-03-01  2018      3    1     1  \n",
       "1    0.0  2018-03-01  2018      3    1     2  \n",
       "2    0.0  2018-03-01  2018      3    1     3  \n",
       "3    0.0  2018-03-01  2018      3    1     4  \n",
       "4    0.0  2018-03-01  2018      3    1     5  \n",
       "5    0.0  2018-03-01  2018      3    1     6  \n",
       "6    0.0  2018-03-01  2018      3    1     7  \n",
       "7    4.0  2018-03-01  2018      3    1     8  \n",
       "8  141.0  2018-03-01  2018      3    1     9  \n",
       "9  911.0  2018-03-01  2018      3    1    10  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  시간대 별로 groupby 하여 시간대별 total값의 max를 추출한다.\n",
    "### 만약 max값이 LB(평가기준)을 넘지 못하면 해당 시간대를 제외한다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hour\n",
       "0        0.0\n",
       "1        0.0\n",
       "2        0.0\n",
       "3        0.0\n",
       "4        0.0\n",
       "5        0.0\n",
       "6       10.0\n",
       "7      217.0\n",
       "8      447.0\n",
       "9      884.0\n",
       "10    1460.0\n",
       "11    1918.0\n",
       "12    2349.0\n",
       "13    2513.0\n",
       "14    2505.0\n",
       "15    2383.0\n",
       "16    2037.0\n",
       "17    1506.0\n",
       "18     908.0\n",
       "19     369.0\n",
       "20      57.0\n",
       "21       0.0\n",
       "22       0.0\n",
       "23       0.0\n",
       "Name: total, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_total_hour=energy['total'].groupby([energy['hour']]).max()\n",
    "max_total_hour"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 20시부터 ~06시는 확실히 제거를 해도된다고 판단\n",
    "## 07시는 한 번 더 데이터를 살펴보고 결정"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dangjin_floating</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
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       "      <td>93.0</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.820922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.992751</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse  dangjin  ulsan  total  \\\n",
       "count              93.0               93.0     93.0   93.0   93.0   \n",
       "mean                0.0                0.0      0.0    0.0    0.0   \n",
       "std                 0.0                0.0      0.0    0.0    0.0   \n",
       "min                 0.0                0.0      0.0    0.0    0.0   \n",
       "25%                 0.0                0.0      0.0    0.0    0.0   \n",
       "50%                 0.0                0.0      0.0    0.0    0.0   \n",
       "75%                 0.0                0.0      0.0    0.0    0.0   \n",
       "max                 0.0                0.0      0.0    0.0    0.0   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    93.000000   93.0  93.000000  93.0  \n",
       "mean   2020.000000    1.0  16.000000   7.0  \n",
       "std       0.820922    0.0   8.992751   0.0  \n",
       "min    2019.000000    1.0   1.000000   7.0  \n",
       "25%    2019.000000    1.0   8.000000   7.0  \n",
       "50%    2020.000000    1.0  16.000000   7.0  \n",
       "75%    2021.000000    1.0  24.000000   7.0  \n",
       "max    2021.000000    1.0  31.000000   7.0  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07=energy[energy['hour']==7]\n",
    "energy_07[energy_07['month']==1].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.820922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.992751</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse  dangjin  ulsan  total  \\\n",
       "count              93.0               93.0     93.0   93.0   93.0   \n",
       "mean                0.0                0.0      0.0    0.0    0.0   \n",
       "std                 0.0                0.0      0.0    0.0    0.0   \n",
       "min                 0.0                0.0      0.0    0.0    0.0   \n",
       "25%                 0.0                0.0      0.0    0.0    0.0   \n",
       "50%                 0.0                0.0      0.0    0.0    0.0   \n",
       "75%                 0.0                0.0      0.0    0.0    0.0   \n",
       "max                 0.0                0.0      0.0    0.0    0.0   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    93.000000   93.0  93.000000  93.0  \n",
       "mean   2020.000000    1.0  16.000000   7.0  \n",
       "std       0.820922    0.0   8.992751   0.0  \n",
       "min    2019.000000    1.0   1.000000   7.0  \n",
       "25%    2019.000000    1.0   8.000000   7.0  \n",
       "50%    2020.000000    1.0  16.000000   7.0  \n",
       "75%    2021.000000    1.0  24.000000   7.0  \n",
       "max    2021.000000    1.0  31.000000   7.0  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07[energy_07['month']==1].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>57.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>57.0</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>2019.508772</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.754386</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.504367</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse  dangjin  ulsan  total  \\\n",
       "count              57.0               57.0     57.0   57.0   57.0   \n",
       "mean                0.0                0.0      0.0    0.0    0.0   \n",
       "std                 0.0                0.0      0.0    0.0    0.0   \n",
       "min                 0.0                0.0      0.0    0.0    0.0   \n",
       "25%                 0.0                0.0      0.0    0.0    0.0   \n",
       "50%                 0.0                0.0      0.0    0.0    0.0   \n",
       "75%                 0.0                0.0      0.0    0.0    0.0   \n",
       "max                 0.0                0.0      0.0    0.0    0.0   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    57.000000   57.0  57.000000  57.0  \n",
       "mean   2019.508772    2.0  14.754386   7.0  \n",
       "std       0.504367    0.0   8.302927   0.0  \n",
       "min    2019.000000    2.0   1.000000   7.0  \n",
       "25%    2019.000000    2.0   8.000000   7.0  \n",
       "50%    2020.000000    2.0  15.000000   7.0  \n",
       "75%    2020.000000    2.0  22.000000   7.0  \n",
       "max    2020.000000    2.0  29.000000   7.0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07[energy_07['month']==2].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
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       "      <th>count</th>\n",
       "      <td>93.000000</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>93.0</td>\n",
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       "      <td>93.000000</td>\n",
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       "      <td>93.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.258065</td>\n",
       "      <td>0.087912</td>\n",
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       "      <td>2019.000000</td>\n",
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       "      <td>16.000000</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.674105</td>\n",
       "      <td>0.284736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.675318</td>\n",
       "      <td>1.410324</td>\n",
       "      <td>0.820922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.992751</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse  dangjin      ulsan      total  \\\n",
       "count         93.000000          91.000000     93.0  93.000000  93.000000   \n",
       "mean           0.258065           0.087912      0.0   0.311828   0.655914   \n",
       "std            0.674105           0.284736      0.0   0.675318   1.410324   \n",
       "min            0.000000           0.000000      0.0   0.000000   0.000000   \n",
       "25%            0.000000           0.000000      0.0   0.000000   0.000000   \n",
       "50%            0.000000           0.000000      0.0   0.000000   0.000000   \n",
       "75%            0.000000           0.000000      0.0   0.000000   1.000000   \n",
       "max            3.000000           1.000000      0.0   3.000000   7.000000   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    93.000000   93.0  93.000000  93.0  \n",
       "mean   2019.000000    3.0  16.000000   7.0  \n",
       "std       0.820922    0.0   8.992751   0.0  \n",
       "min    2018.000000    3.0   1.000000   7.0  \n",
       "25%    2018.000000    3.0   8.000000   7.0  \n",
       "50%    2019.000000    3.0  16.000000   7.0  \n",
       "75%    2020.000000    3.0  24.000000   7.0  \n",
       "max    2020.000000    3.0  31.000000   7.0  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07[energy_07['month']==3].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>dangjin_floating</th>\n",
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       "      <th>mean</th>\n",
       "      <td>7.322222</td>\n",
       "      <td>6.144444</td>\n",
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       "      <td>6.366667</td>\n",
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       "      <th>std</th>\n",
       "      <td>5.803578</td>\n",
       "      <td>5.155037</td>\n",
       "      <td>4.155002</td>\n",
       "      <td>5.322097</td>\n",
       "      <td>18.021211</td>\n",
       "      <td>0.821071</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.703932</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11.750000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>34.500000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>21.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse    dangjin      ulsan      total  \\\n",
       "count         90.000000          90.000000  90.000000  90.000000  90.000000   \n",
       "mean           7.322222           6.144444   2.166667   6.366667  22.000000   \n",
       "std            5.803578           5.155037   4.155002   5.322097  18.021211   \n",
       "min            0.000000           0.000000   0.000000   0.000000   0.000000   \n",
       "25%            2.000000           2.000000   0.000000   2.000000   8.000000   \n",
       "50%            6.500000           5.000000   0.000000   5.000000  17.500000   \n",
       "75%           11.750000          10.000000   2.000000  11.000000  34.500000   \n",
       "max           21.000000          19.000000  19.000000  19.000000  73.000000   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    90.000000   90.0  90.000000  90.0  \n",
       "mean   2019.000000    4.0  15.500000   7.0  \n",
       "std       0.821071    0.0   8.703932   0.0  \n",
       "min    2018.000000    4.0   1.000000   7.0  \n",
       "25%    2018.000000    4.0   8.000000   7.0  \n",
       "50%    2019.000000    4.0  15.500000   7.0  \n",
       "75%    2020.000000    4.0  23.000000   7.0  \n",
       "max    2020.000000    4.0  30.000000   7.0  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07[energy_07['month']==4].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>17.795699</td>\n",
       "      <td>15.537634</td>\n",
       "      <td>11.172043</td>\n",
       "      <td>16.139785</td>\n",
       "      <td>60.645161</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.977803</td>\n",
       "      <td>9.777480</td>\n",
       "      <td>12.547842</td>\n",
       "      <td>10.091528</td>\n",
       "      <td>35.403465</td>\n",
       "      <td>0.820922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.992751</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>43.000000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>153.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse    dangjin      ulsan       total  \\\n",
       "count         93.000000          93.000000  93.000000  93.000000   93.000000   \n",
       "mean          17.795699          15.537634  11.172043  16.139785   60.645161   \n",
       "std           10.977803           9.777480  12.547842  10.091528   35.403465   \n",
       "min            0.000000           0.000000   0.000000   0.000000    0.000000   \n",
       "25%           10.000000           9.000000   0.000000   6.000000   33.000000   \n",
       "50%           20.000000          18.000000   7.000000  18.000000   60.000000   \n",
       "75%           26.000000          22.000000  19.000000  24.000000   87.000000   \n",
       "max           43.000000          37.000000  52.000000  35.000000  153.000000   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    93.000000   93.0  93.000000  93.0  \n",
       "mean   2019.000000    5.0  16.000000   7.0  \n",
       "std       0.820922    0.0   8.992751   0.0  \n",
       "min    2018.000000    5.0   1.000000   7.0  \n",
       "25%    2018.000000    5.0   8.000000   7.0  \n",
       "50%    2019.000000    5.0  16.000000   7.0  \n",
       "75%    2020.000000    5.0  24.000000   7.0  \n",
       "max    2020.000000    5.0  31.000000   7.0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07[energy_07['month']==5].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>89.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.0</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>19.101124</td>\n",
       "      <td>16.922222</td>\n",
       "      <td>15.266667</td>\n",
       "      <td>19.055556</td>\n",
       "      <td>70.133333</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>12.752045</td>\n",
       "      <td>11.236205</td>\n",
       "      <td>15.034642</td>\n",
       "      <td>11.895954</td>\n",
       "      <td>40.991421</td>\n",
       "      <td>0.821071</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.703932</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.250000</td>\n",
       "      <td>38.250000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>70.500000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>28.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>24.750000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>99.750000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>54.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>217.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse    dangjin      ulsan       total  \\\n",
       "count         89.000000          90.000000  90.000000  90.000000   90.000000   \n",
       "mean          19.101124          16.922222  15.266667  19.055556   70.133333   \n",
       "std           12.752045          11.236205  15.034642  11.895954   40.991421   \n",
       "min            0.000000           0.000000   0.000000   0.000000    0.000000   \n",
       "25%            9.000000           7.000000   1.000000   6.250000   38.250000   \n",
       "50%           19.000000          17.000000  12.500000  23.000000   70.500000   \n",
       "75%           28.000000          24.000000  24.750000  28.000000   99.750000   \n",
       "max           54.000000          62.000000  76.000000  45.000000  217.000000   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    90.000000   90.0  90.000000  90.0  \n",
       "mean   2019.000000    6.0  15.500000   7.0  \n",
       "std       0.821071    0.0   8.703932   0.0  \n",
       "min    2018.000000    6.0   1.000000   7.0  \n",
       "25%    2018.000000    6.0   8.000000   7.0  \n",
       "50%    2019.000000    6.0  15.500000   7.0  \n",
       "75%    2020.000000    6.0  23.000000   7.0  \n",
       "max    2020.000000    6.0  30.000000   7.0  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07[energy_07['month']==6].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>12.301075</td>\n",
       "      <td>10.731183</td>\n",
       "      <td>8.569892</td>\n",
       "      <td>11.204301</td>\n",
       "      <td>42.806452</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11.041212</td>\n",
       "      <td>9.437598</td>\n",
       "      <td>12.706039</td>\n",
       "      <td>7.965359</td>\n",
       "      <td>34.285013</td>\n",
       "      <td>0.820922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.992751</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>159.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse    dangjin      ulsan       total  \\\n",
       "count         93.000000          93.000000  93.000000  93.000000   93.000000   \n",
       "mean          12.301075          10.731183   8.569892  11.204301   42.806452   \n",
       "std           11.041212           9.437598  12.706039   7.965359   34.285013   \n",
       "min            0.000000           0.000000   0.000000   0.000000    0.000000   \n",
       "25%            4.000000           3.000000   0.000000   4.000000   18.000000   \n",
       "50%           11.000000           9.000000   2.000000  12.000000   39.000000   \n",
       "75%           16.000000          16.000000  14.000000  18.000000   58.000000   \n",
       "max           60.000000          41.000000  54.000000  28.000000  159.000000   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    93.000000   93.0  93.000000  93.0  \n",
       "mean   2019.000000    7.0  16.000000   7.0  \n",
       "std       0.820922    0.0   8.992751   0.0  \n",
       "min    2018.000000    7.0   1.000000   7.0  \n",
       "25%    2018.000000    7.0   8.000000   7.0  \n",
       "50%    2019.000000    7.0  16.000000   7.0  \n",
       "75%    2020.000000    7.0  24.000000   7.0  \n",
       "max    2020.000000    7.0  31.000000   7.0  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07[energy_07['month']==7].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.010753</td>\n",
       "      <td>4.924731</td>\n",
       "      <td>2.397849</td>\n",
       "      <td>6.021505</td>\n",
       "      <td>19.354839</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.617906</td>\n",
       "      <td>4.222704</td>\n",
       "      <td>4.314132</td>\n",
       "      <td>5.559908</td>\n",
       "      <td>14.144169</td>\n",
       "      <td>0.820922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.992751</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>8.0</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>8.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse    dangjin      ulsan      total  \\\n",
       "count         93.000000          93.000000  93.000000  93.000000  93.000000   \n",
       "mean           6.010753           4.924731   2.397849   6.021505  19.354839   \n",
       "std            7.617906           4.222704   4.314132   5.559908  14.144169   \n",
       "min            0.000000           0.000000   0.000000   0.000000   0.000000   \n",
       "25%            2.000000           2.000000   0.000000   1.000000   9.000000   \n",
       "50%            4.000000           4.000000   0.000000   5.000000  17.000000   \n",
       "75%            8.000000           7.000000   2.000000  10.000000  25.000000   \n",
       "max           60.000000          19.000000  20.000000  23.000000  66.000000   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    93.000000   93.0  93.000000  93.0  \n",
       "mean   2019.000000    8.0  16.000000   7.0  \n",
       "std       0.820922    0.0   8.992751   0.0  \n",
       "min    2018.000000    8.0   1.000000   7.0  \n",
       "25%    2018.000000    8.0   8.000000   7.0  \n",
       "50%    2019.000000    8.0  16.000000   7.0  \n",
       "75%    2020.000000    8.0  24.000000   7.0  \n",
       "max    2020.000000    8.0  31.000000   7.0  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07[energy_07['month']==8].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
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       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.0</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.600000</td>\n",
       "      <td>0.988889</td>\n",
       "      <td>0.122222</td>\n",
       "      <td>1.366667</td>\n",
       "      <td>4.077778</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.092254</td>\n",
       "      <td>1.267524</td>\n",
       "      <td>0.804870</td>\n",
       "      <td>2.008130</td>\n",
       "      <td>4.176520</td>\n",
       "      <td>0.821071</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.703932</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse    dangjin      ulsan      total  \\\n",
       "count         90.000000          90.000000  90.000000  90.000000  90.000000   \n",
       "mean           1.600000           0.988889   0.122222   1.366667   4.077778   \n",
       "std            2.092254           1.267524   0.804870   2.008130   4.176520   \n",
       "min            0.000000           0.000000   0.000000   0.000000   0.000000   \n",
       "25%            0.000000           0.000000   0.000000   0.000000   0.000000   \n",
       "50%            1.000000           1.000000   0.000000   0.000000   3.500000   \n",
       "75%            2.000000           2.000000   0.000000   2.000000   6.000000   \n",
       "max           10.000000           7.000000   7.000000   9.000000  22.000000   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    90.000000   90.0  90.000000  90.0  \n",
       "mean   2019.000000    9.0  15.500000   7.0  \n",
       "std       0.821071    0.0   8.703932   0.0  \n",
       "min    2018.000000    9.0   1.000000   7.0  \n",
       "25%    2018.000000    9.0   8.000000   7.0  \n",
       "50%    2019.000000    9.0  15.500000   7.0  \n",
       "75%    2020.000000    9.0  23.000000   7.0  \n",
       "max    2020.000000    9.0  30.000000   7.0  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_07[energy_07['month']==9].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
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       "      <th>day</th>\n",
       "      <th>hour</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>93.000000</td>\n",
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       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.000000</td>\n",
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       "      <td>93.0</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.268817</td>\n",
       "      <td>0.150538</td>\n",
       "      <td>0.043011</td>\n",
       "      <td>0.150538</td>\n",
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       "      <td>2019.000000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.294972</td>\n",
       "      <td>1.350895</td>\n",
       "      <td>0.414781</td>\n",
       "      <td>0.388594</td>\n",
       "      <td>3.057536</td>\n",
       "      <td>0.820922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.992751</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       dangjin_floating  dangjin_warehouse    dangjin      ulsan      total  \\\n",
       "count         93.000000          93.000000  93.000000  93.000000  93.000000   \n",
       "mean           0.268817           0.150538   0.043011   0.150538   0.612903   \n",
       "std            1.294972           1.350895   0.414781   0.388594   3.057536   \n",
       "min            0.000000           0.000000   0.000000   0.000000   0.000000   \n",
       "25%            0.000000           0.000000   0.000000   0.000000   0.000000   \n",
       "50%            0.000000           0.000000   0.000000   0.000000   0.000000   \n",
       "75%            0.000000           0.000000   0.000000   0.000000   0.000000   \n",
       "max           12.000000          13.000000   4.000000   2.000000  29.000000   \n",
       "\n",
       "              year  month        day  hour  \n",
       "count    93.000000   93.0  93.000000  93.0  \n",
       "mean   2019.000000   10.0  16.000000   7.0  \n",
       "std       0.820922    0.0   8.992751   0.0  \n",
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       "25%    2018.000000   10.0   8.000000   7.0  \n",
       "50%    2019.000000   10.0  16.000000   7.0  \n",
       "75%    2020.000000   10.0  24.000000   7.0  \n",
       "max    2020.000000   10.0  31.000000   7.0  "
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     "execution_count": 30,
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   "source": [
    "energy_07[energy_07['month']==10].describe()"
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   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
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       "       dangjin_floating  dangjin_warehouse  dangjin  ulsan  total  \\\n",
       "count              90.0               90.0     90.0   90.0   90.0   \n",
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       "75%    2020.000000   11.0  23.000000   7.0  \n",
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    "energy_07[energy_07['month']==11].describe()"
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   "execution_count": 32,
   "metadata": {},
   "outputs": [
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       "       dangjin_floating  dangjin_warehouse  dangjin  ulsan  total  \\\n",
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       "75%    2020.000000   12.0  24.000000   7.0  \n",
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   "execution_count": 33,
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   "outputs": [
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       "       ulsan  total\n",
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    "ul_to7_6=ul_to7[energy_07['month']==6]\n",
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     "metadata": {},
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    }
   ],
   "source": [
    "fig=px.line(ul_to7_6)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2670</th>\n",
       "      <td>25</td>\n",
       "      <td>217.0</td>\n",
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       "      ulsan  total\n",
       "2670     25  217.0"
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     "execution_count": 35,
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   "source": [
    "ul_to7_200=ul_to7[ul_to7['total']>=200]\n",
    "ul_to7_200"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 200을 넘긴것도 한 번 발생했던 일이기에 7시도 고려하지 않고 데이터 분석을 실시한다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>dangjin_floating</th>\n",
       "      <th>dangjin_warehouse</th>\n",
       "      <th>dangjin</th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>date</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2018-03-01 07:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2018-03-01 08:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2018-03-01 09:00:00</td>\n",
       "      <td>36.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>37</td>\n",
       "      <td>35</td>\n",
       "      <td>141.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-03-01 10:00:00</td>\n",
       "      <td>313.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>318</td>\n",
       "      <td>71</td>\n",
       "      <td>911.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>532.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>490</td>\n",
       "      <td>82</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25622</th>\n",
       "      <td>2021-01-31 15:00:00</td>\n",
       "      <td>297.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>352</td>\n",
       "      <td>259</td>\n",
       "      <td>1164.0</td>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25623</th>\n",
       "      <td>2021-01-31 16:00:00</td>\n",
       "      <td>230.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>261</td>\n",
       "      <td>196</td>\n",
       "      <td>853.0</td>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25624</th>\n",
       "      <td>2021-01-31 17:00:00</td>\n",
       "      <td>76.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>81</td>\n",
       "      <td>83</td>\n",
       "      <td>305.0</td>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25625</th>\n",
       "      <td>2021-01-31 18:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25626</th>\n",
       "      <td>2021-01-31 19:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13884 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     time  dangjin_floating  dangjin_warehouse  dangjin  \\\n",
       "6     2018-03-01 07:00:00               0.0                0.0        0   \n",
       "7     2018-03-01 08:00:00               0.0                0.0        0   \n",
       "8     2018-03-01 09:00:00              36.0               33.0       37   \n",
       "9     2018-03-01 10:00:00             313.0              209.0      318   \n",
       "10    2018-03-01 11:00:00             532.0              296.0      490   \n",
       "...                   ...               ...                ...      ...   \n",
       "25622 2021-01-31 15:00:00             297.0              256.0      352   \n",
       "25623 2021-01-31 16:00:00             230.0              166.0      261   \n",
       "25624 2021-01-31 17:00:00              76.0               65.0       81   \n",
       "25625 2021-01-31 18:00:00              10.0                6.0        0   \n",
       "25626 2021-01-31 19:00:00               0.0                0.0        0   \n",
       "\n",
       "       ulsan   total        date  year  month  day  hour  \n",
       "6          0     0.0  2018-03-01  2018      3    1     7  \n",
       "7          4     4.0  2018-03-01  2018      3    1     8  \n",
       "8         35   141.0  2018-03-01  2018      3    1     9  \n",
       "9         71   911.0  2018-03-01  2018      3    1    10  \n",
       "10        82  1400.0  2018-03-01  2018      3    1    11  \n",
       "...      ...     ...         ...   ...    ...  ...   ...  \n",
       "25622    259  1164.0  2021-01-31  2021      1   31    15  \n",
       "25623    196   853.0  2021-01-31  2021      1   31    16  \n",
       "25624     83   305.0  2021-01-31  2021      1   31    17  \n",
       "25625      8    24.0  2021-01-31  2021      1   31    18  \n",
       "25626      0     0.0  2021-01-31  2021      1   31    19  \n",
       "\n",
       "[13884 rows x 11 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_new=energy[energy['hour']>=7]\n",
    "energy_new=energy_new[energy_new['hour']<20]\n",
    "energy_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>ulsan</th>\n",
       "      <th>total</th>\n",
       "      <th>date</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
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       "      <th>hour</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35</td>\n",
       "      <td>141.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>71</td>\n",
       "      <td>911.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>82</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
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       "    <tr>\n",
       "      <th>13879</th>\n",
       "      <td>259</td>\n",
       "      <td>1164.0</td>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>2021</td>\n",
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       "      <td>31</td>\n",
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       "    <tr>\n",
       "      <th>13881</th>\n",
       "      <td>83</td>\n",
       "      <td>305.0</td>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13882</th>\n",
       "      <td>8</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>18</td>\n",
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       "      <th>13883</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>31</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13884 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ulsan   total        date  year  month  day  hour\n",
       "0          0     0.0  2018-03-01  2018      3    1     7\n",
       "1          4     4.0  2018-03-01  2018      3    1     8\n",
       "2         35   141.0  2018-03-01  2018      3    1     9\n",
       "3         71   911.0  2018-03-01  2018      3    1    10\n",
       "4         82  1400.0  2018-03-01  2018      3    1    11\n",
       "...      ...     ...         ...   ...    ...  ...   ...\n",
       "13879    259  1164.0  2021-01-31  2021      1   31    15\n",
       "13880    196   853.0  2021-01-31  2021      1   31    16\n",
       "13881     83   305.0  2021-01-31  2021      1   31    17\n",
       "13882      8    24.0  2021-01-31  2021      1   31    18\n",
       "13883      0     0.0  2021-01-31  2021      1   31    19\n",
       "\n",
       "[13884 rows x 7 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#energy가 target이므로 y로 적는다\n",
    "ulsan_y=energy_new.iloc[:,4:]\n",
    "# 인덱스 재설정\n",
    "ulsan_y=ulsan_y.reset_index(drop=True)\n",
    "\n",
    "ulsan_y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 시간별로 따로 모델을 작성하자 \n",
    "### 태양의 각도가 고정 & 데이터가 다 섞이면 같은 온도라도 다양한 시각에서 바라봐야하지만 시간이 같다면 기온의 의미가 강해진다.\n",
    "\n",
    "# 일조량과 일사량을 예측해서 사용하자. \n",
    "### 태양광 발전과 가장 면밀한 관계를 가진 두변수를 예측해서 사용해보자\n",
    "\n",
    "# 미세먼지 예보 데이터를 활용해보자\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 우선 시간별로 데이터 정렬"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>3978</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>2019</td>\n",
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       "      <td>1</td>\n",
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       "      <th>3991</th>\n",
       "      <td>0</td>\n",
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       "      <td>2019</td>\n",
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       "      <td>2</td>\n",
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       "      <th>4017</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>2019-01-04</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4030</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-01-05</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>8658</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-12-27</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8671</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-12-28</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8684</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-12-29</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8697</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-12-30</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8710</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-12-31</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>365 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ulsan  total        date  year  month  day  hour\n",
       "3978      0    0.0  2019-01-01  2019      1    1     7\n",
       "3991      0    0.0  2019-01-02  2019      1    2     7\n",
       "4004      0    0.0  2019-01-03  2019      1    3     7\n",
       "4017      0    0.0  2019-01-04  2019      1    4     7\n",
       "4030      0    0.0  2019-01-05  2019      1    5     7\n",
       "...     ...    ...         ...   ...    ...  ...   ...\n",
       "8658      0    0.0  2019-12-27  2019     12   27     7\n",
       "8671      0    0.0  2019-12-28  2019     12   28     7\n",
       "8684      0    0.0  2019-12-29  2019     12   29     7\n",
       "8697      0    0.0  2019-12-30  2019     12   30     7\n",
       "8710      0    0.0  2019-12-31  2019     12   31     7\n",
       "\n",
       "[365 rows x 7 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ulsan2019=ulsan_y[ulsan_y['year']==2019]\n",
    "ulsan2019_7=ulsan2019[ulsan2019['hour']==7]\n",
    "ulsan2019_7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "ulsan_energy2019_t=pd.DataFrame(np.zeros((13,365)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
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       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13 rows × 365 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    0    1    2    3    4    5    6    7    8    9    ...  355  356  357  358  \\\n",
       "0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
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       "9   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "10  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "11  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "12  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "\n",
       "    359  360  361  362  363  364  \n",
       "0   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "1   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "2   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "3   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "4   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "5   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "6   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "7   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "8   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "9   0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "10  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "11  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "12  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "\n",
       "[13 rows x 365 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ulsan_energy2019_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in list(range(13)):\n",
    "    ulsan_energy2019_t.iloc[i,:]=list(ulsan2019[ulsan2019['hour']==i+7].ulsan)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>237.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>...</td>\n",
       "      <td>47.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>253.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>285.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>291.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>236.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>301.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>288.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>...</td>\n",
       "      <td>35.0</td>\n",
       "      <td>249.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>313.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>316.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>258.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>262.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>226.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>274.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>301.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>249.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>227.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>...</td>\n",
       "      <td>35.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>249.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>257.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>144.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>161.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>33.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>...</td>\n",
       "      <td>29.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13 rows × 365 columns</p>\n",
       "</div>"
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       "      0      1      2      3      4      5      6      7      8      9    ...  \\\n",
       "0     0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0  ...   \n",
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       "4   237.0  242.0  247.0  225.0  185.0  173.0  204.0  211.0  237.0   90.0  ...   \n",
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       "7   258.0  290.0  295.0   78.0  262.0  275.0  258.0  269.0  226.0  285.0  ...   \n",
       "8   249.0  242.0  253.0   86.0  222.0  233.0  222.0  227.0  132.0  247.0  ...   \n",
       "9   144.0  148.0  158.0   34.0  143.0   84.0  145.0  112.0   68.0  159.0  ...   \n",
       "10   33.0   36.0   39.0    9.0   41.0   39.0   32.0   29.0   20.0   46.0  ...   \n",
       "11    0.0    0.0    0.0    0.0    1.0    1.0    0.0    2.0    1.0    0.0  ...   \n",
       "12    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0  ...   \n",
       "\n",
       "     355    356    357    358   359    360    361   362    363    364  \n",
       "0    0.0    0.0    0.0    0.0   0.0    0.0    0.0   0.0    0.0    0.0  \n",
       "1    0.0    0.0    0.0    1.0   0.0    1.0    0.0   0.0    0.0    1.0  \n",
       "2    4.0   46.0   45.0   41.0   6.0   49.0   46.0   7.0   16.0   49.0  \n",
       "3   27.0  111.0  116.0  137.0  23.0  160.0  152.0  30.0  119.0  162.0  \n",
       "4   47.0  157.0  140.0  213.0   0.0  245.0  235.0  62.0  211.0  253.0  \n",
       "5   68.0  236.0  190.0  250.0   0.0  294.0  282.0  45.0  237.0  301.0  \n",
       "6   35.0  249.0  243.0  258.0   0.0  313.0  293.0  40.0  201.0  316.0  \n",
       "7   25.0  222.0  252.0  250.0   0.0  292.0  274.0  59.0  133.0  301.0  \n",
       "8   35.0  191.0  206.0  202.0   6.0  249.0  230.0  33.0  105.0  257.0  \n",
       "9   50.0  107.0   64.0   92.0   4.0  146.0  135.0  14.0   67.0  161.0  \n",
       "10  29.0   24.0    9.0   35.0   0.0   34.0   31.0   2.0   15.0   40.0  \n",
       "11   0.0    0.0    0.0    0.0   0.0    0.0    0.0   0.0    0.0    0.0  \n",
       "12   0.0    0.0    0.0    0.0   0.0    0.0    0.0   0.0    0.0    0.0  \n",
       "\n",
       "[13 rows x 365 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ulsan_energy2019_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>7</th>\n",
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       "      <th>2019-01-01</th>\n",
       "      <td>0.0</td>\n",
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       "      <th>2019-01-02</th>\n",
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       "      <th>2019-01-03</th>\n",
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       "    <tr>\n",
       "      <th>2019-01-04</th>\n",
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       "      <td>152.0</td>\n",
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       "      <td>266.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>78.0</td>\n",
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       "    <tr>\n",
       "      <th>2019-01-05</th>\n",
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       "      <td>62.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>262.0</td>\n",
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       "      <th>2019-12-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>160.0</td>\n",
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       "      <td>292.0</td>\n",
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       "      <td>34.0</td>\n",
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       "      <th>2019-12-28</th>\n",
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       "      <td>152.0</td>\n",
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       "      <th>2019-12-29</th>\n",
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       "      <td>7.0</td>\n",
       "      <td>30.0</td>\n",
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       "      <td>40.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>14.0</td>\n",
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       "      <th>2019-12-30</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>105.0</td>\n",
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       "      <td>15.0</td>\n",
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       "      <th>2019-12-31</th>\n",
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       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>257.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>365 rows × 13 columns</p>\n",
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       "             7    8     9      10     11     12     13     14     15     16  \\\n",
       "date                                                                          \n",
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       "              17   18   19  \n",
       "date                        \n",
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       "\n",
       "[365 rows x 13 columns]"
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     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "ulsan_energy2019_t.columns=ulsan2019_7['date']\n",
    "ulsan_energy2019=ulsan_energy2019_t.T\n",
    "ulsan_energy2019.columns=list(range(7,20))\n",
    "ulsan_energy2019"
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   ],
   "source": [
    "ulsan7=ulsan_energy2019[7]\n",
    "ulsan7.plot()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 울산 energy 2018년 시간대별 나열"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(306,)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2018 만들기\n",
    "ulsan2018=ulsan_y[ulsan_y['year']==2018]\n",
    "ulsan2018_7=ulsan2018[ulsan2018['hour']==7]\n",
    "\n",
    "ulsan2018['date'].unique().shape\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "ulsan_energy2018_t=pd.DataFrame(np.zeros((13,306)))\n",
    "for i in list(range(13)):\n",
    "    ulsan_energy2018_t.iloc[i,:]=list(ulsan2018[ulsan2018['hour']==i+7].ulsan)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
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       "      <th>date</th>\n",
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       "      <th>2018-03-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>334.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>346.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>2018-03-02</th>\n",
       "      <td>0.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>278.0</td>\n",
       "      <td>362.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>319.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>2018-03-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>103.0</td>\n",
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       "      <td>143.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>151.0</td>\n",
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       "      <th>2018-03-04</th>\n",
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       "      <td>20.0</td>\n",
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       "      <td>166.0</td>\n",
       "      <td>257.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>239.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>302.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>323.0</td>\n",
       "      <td>305.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>251.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>254.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>306 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             7     8      9      10     11     12     13     14     15     16  \\\n",
       "date                                                                            \n",
       "2018-03-01  0.0   4.0   35.0   71.0   82.0  334.0  372.0  346.0  318.0  258.0   \n",
       "2018-03-02  0.0  18.0  102.0  218.0  264.0  278.0  362.0  352.0  319.0  263.0   \n",
       "2018-03-03  0.0  14.0   75.0  103.0  167.0  143.0  168.0  256.0  311.0  250.0   \n",
       "2018-03-04  0.0  20.0   91.0  166.0  257.0  264.0  200.0  105.0   86.0   43.0   \n",
       "2018-03-05  0.0   0.0    0.0    3.0    0.0    8.0   14.0   21.0   22.0   21.0   \n",
       "...         ...   ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "2018-12-27  0.0   1.0   50.0  159.0  239.0  269.0  302.0  267.0  252.0  150.0   \n",
       "2018-12-28  0.0   1.0   47.0  168.0  259.0  306.0  323.0  305.0  259.0  156.0   \n",
       "2018-12-29  0.0   1.0   49.0  164.0  251.0  303.0  322.0  306.0  258.0  158.0   \n",
       "2018-12-30  0.0   1.0   49.0  164.0  253.0  301.0  311.0  296.0  254.0  155.0   \n",
       "2018-12-31  0.0   0.0   45.0  157.0  241.0  258.0  204.0  123.0  153.0   42.0   \n",
       "\n",
       "               17    18   19  \n",
       "date                          \n",
       "2018-03-01  160.0  30.0  0.0  \n",
       "2018-03-02  163.0  30.0  0.0  \n",
       "2018-03-03  151.0  31.0  0.0  \n",
       "2018-03-04   20.0   1.0  0.0  \n",
       "2018-03-05   16.0   9.0  0.0  \n",
       "...           ...   ...  ...  \n",
       "2018-12-27   26.0   0.0  0.0  \n",
       "2018-12-28   35.0   0.0  0.0  \n",
       "2018-12-29   37.0   0.0  0.0  \n",
       "2018-12-30   36.0   0.0  0.0  \n",
       "2018-12-31    6.0   0.0  0.0  \n",
       "\n",
       "[306 rows x 13 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ulsan_energy2018_t.columns=ulsan2018_7['date']\n",
    "ulsan_energy2018=ulsan_energy2018_t.T\n",
    "ulsan_energy2018.columns=list(range(7,20))\n",
    "ulsan_energy2018"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2020 만들기\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(366,)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2020 만들기\n",
    "ulsan2020=ulsan_y[ulsan_y['year']==2020]\n",
    "ulsan2020_7=ulsan2020[ulsan2020['hour']==7]\n",
    "\n",
    "ulsan2020['date'].unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "ulsan_energy2020_t=pd.DataFrame(np.zeros((13,366)))\n",
    "for i in list(range(13)):\n",
    "    ulsan_energy2020_t.iloc[i,:]=list(ulsan2020[ulsan2020['hour']==i+7].ulsan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</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>2020-01-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>302.0</td>\n",
       "      <td>291.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>291.0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>257.0</td>\n",
       "      <td>274.0</td>\n",
       "      <td>262.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             7    8     9      10     11     12     13     14     15     16  \\\n",
       "date                                                                          \n",
       "2020-01-01  0.0  0.0  25.0  142.0  218.0  261.0  302.0  291.0  241.0  150.0   \n",
       "2020-01-02  0.0  0.0  37.0  132.0  214.0  264.0  276.0  255.0  206.0  114.0   \n",
       "2020-01-03  0.0  0.0  42.0  138.0  222.0  271.0  291.0  281.0  241.0  149.0   \n",
       "2020-01-04  0.0  0.0  36.0   50.0   73.0   96.0  240.0  281.0  230.0  143.0   \n",
       "2020-01-05  0.0  0.0  39.0  140.0  225.0  271.0  277.0  271.0  223.0  113.0   \n",
       "...         ...  ...   ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "2020-12-27  0.0  0.0  13.0   79.0  134.0  173.0  118.0   57.0   32.0   11.0   \n",
       "2020-12-28  0.0  0.0  40.0  136.0  218.0  257.0  274.0  262.0  218.0  129.0   \n",
       "2020-12-29  0.0  0.0  21.0   70.0  101.0  202.0  252.0  209.0   65.0   19.0   \n",
       "2020-12-30  0.0  0.0  44.0  151.0  238.0  297.0  318.0  309.0  264.0  164.0   \n",
       "2020-12-31  0.0  1.0  49.0  157.0  241.0  288.0  309.0  300.0  256.0  160.0   \n",
       "\n",
       "              17   18   19  \n",
       "date                        \n",
       "2020-01-01  38.0  0.0  0.0  \n",
       "2020-01-02  32.0  0.0  0.0  \n",
       "2020-01-03  38.0  0.0  0.0  \n",
       "2020-01-04  38.0  0.0  0.0  \n",
       "2020-01-05  33.0  0.0  0.0  \n",
       "...          ...  ...  ...  \n",
       "2020-12-27   0.0  0.0  0.0  \n",
       "2020-12-28  30.0  0.0  0.0  \n",
       "2020-12-29   3.0  0.0  0.0  \n",
       "2020-12-30  39.0  0.0  0.0  \n",
       "2020-12-31  38.0  0.0  0.0  \n",
       "\n",
       "[366 rows x 13 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ulsan_energy2020_t.columns=ulsan2020_7['date']\n",
    "ulsan_energy2020=ulsan_energy2020_t.T\n",
    "ulsan_energy2020.columns=list(range(7,20))\n",
    "ulsan_energy2020"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2021 만들기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(31,)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2020 만들기\n",
    "ulsan2021=ulsan_y[ulsan_y['year']==2021]\n",
    "ulsan2021_7=ulsan2021[ulsan2021['hour']==7]\n",
    "\n",
    "ulsan2021['date'].unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "ulsan_energy2021_t=pd.DataFrame(np.zeros((13,31)))\n",
    "for i in list(range(13)):\n",
    "    ulsan_energy2021_t.iloc[i,:]=list(ulsan2021[ulsan2021['hour']==i+7].ulsan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</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>2021-01-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>232.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-02</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>283.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-06</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>254.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-07</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>317.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-08</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>321.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-09</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>314.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-10</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>257.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>278.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-13</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-14</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-15</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-16</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>232.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>246.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>321.0</td>\n",
       "      <td>314.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-18</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>227.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>244.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>246.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>278.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>249.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>331.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             7    8     9      10     11     12     13     14     15     16  \\\n",
       "date                                                                          \n",
       "2021-01-01  0.0  0.0  45.0  151.0  237.0  275.0  260.0  195.0  232.0  145.0   \n",
       "2021-01-02  0.0  0.0  33.0  135.0  211.0  259.0  283.0  277.0  233.0  151.0   \n",
       "2021-01-03  0.0  0.0  12.0  134.0  234.0  276.0  298.0  281.0  186.0   52.0   \n",
       "2021-01-04  0.0  0.0  35.0  128.0  206.0  258.0  276.0  263.0  219.0  134.0   \n",
       "2021-01-05  0.0  0.0  20.0   96.0  149.0  213.0  209.0   90.0   72.0   57.0   \n",
       "2021-01-06  0.0  0.0  47.0  157.0  240.0  277.0  286.0  297.0  254.0  147.0   \n",
       "2021-01-07  0.0  0.0  26.0  144.0  243.0  300.0  322.0  317.0  255.0  156.0   \n",
       "2021-01-08  0.0  0.0  43.0  141.0  220.0  295.0  321.0  308.0  263.0  177.0   \n",
       "2021-01-09  0.0  0.0  44.0  151.0  242.0  292.0  314.0  304.0  261.0  177.0   \n",
       "2021-01-10  0.0  0.0  44.0  152.0  240.0  289.0  311.0  298.0  257.0  156.0   \n",
       "2021-01-11  0.0  0.0  20.0  117.0  144.0  148.0  106.0   68.0   46.0   29.0   \n",
       "2021-01-12  0.0  0.0  37.0  126.0  147.0  278.0  266.0  163.0  155.0  180.0   \n",
       "2021-01-13  0.0  0.0  28.0  109.0  151.0  247.0  266.0  256.0  210.0  143.0   \n",
       "2021-01-14  0.0  0.0  38.0  137.0  220.0  270.0  282.0  273.0  241.0  170.0   \n",
       "2021-01-15  0.0  0.0  32.0  114.0  202.0  231.0  145.0  122.0  160.0  143.0   \n",
       "2021-01-16  0.0  0.0  34.0  124.0  208.0  253.0  275.0  267.0  232.0  159.0   \n",
       "2021-01-17  0.0  0.0  50.0  126.0  246.0  299.0  321.0  314.0  276.0  203.0   \n",
       "2021-01-18  0.0  0.0  25.0   81.0  158.0  227.0  250.0  150.0  207.0  124.0   \n",
       "2021-01-19  0.0  0.0  47.0  154.0  244.0  290.0  303.0  298.0  263.0  196.0   \n",
       "2021-01-20  0.0  0.0  39.0  138.0  174.0  214.0  286.0  281.0  246.0  174.0   \n",
       "2021-01-21  0.0  0.0  40.0  133.0  167.0  242.0  278.0  228.0  114.0   71.0   \n",
       "2021-01-22  0.0  0.0   0.0    0.0    8.0   30.0   38.0   38.0   29.0    8.0   \n",
       "2021-01-23  0.0  0.0   0.0    3.0    1.0   32.0   96.0   34.0    9.0    2.0   \n",
       "2021-01-24  0.0  0.0  11.0   60.0  104.0  143.0  115.0   33.0   20.0   11.0   \n",
       "2021-01-25  0.0  0.0  13.0   44.0  112.0  124.0  105.0  108.0  184.0  114.0   \n",
       "2021-01-26  0.0  0.0   0.0    9.0   28.0   45.0   28.0   41.0   25.0   15.0   \n",
       "2021-01-27  0.0  1.0  46.0  148.0  240.0  290.0  306.0  303.0  269.0  199.0   \n",
       "2021-01-28  0.0  0.0  17.0   75.0  160.0  249.0  294.0  294.0  256.0  130.0   \n",
       "2021-01-29  0.0  1.0  56.0  160.0  250.0  310.0  331.0  327.0  289.0  218.0   \n",
       "2021-01-30  0.0  1.0  44.0  144.0  228.0  238.0  292.0  297.0  231.0  140.0   \n",
       "2021-01-31  0.0  1.0  52.0  156.0  238.0  284.0  303.0  294.0  259.0  196.0   \n",
       "\n",
       "              17   18   19  \n",
       "date                        \n",
       "2021-01-01  23.0  0.0  0.0  \n",
       "2021-01-02  40.0  0.0  0.0  \n",
       "2021-01-03  10.0  0.0  0.0  \n",
       "2021-01-04  36.0  1.0  0.0  \n",
       "2021-01-05  18.0  1.0  0.0  \n",
       "2021-01-06  36.0  1.0  0.0  \n",
       "2021-01-07  51.0  0.0  0.0  \n",
       "2021-01-08  50.0  1.0  0.0  \n",
       "2021-01-09  52.0  1.0  0.0  \n",
       "2021-01-10  48.0  1.0  0.0  \n",
       "2021-01-11  13.0  0.0  0.0  \n",
       "2021-01-12  50.0  1.0  0.0  \n",
       "2021-01-13  44.0  2.0  0.0  \n",
       "2021-01-14  51.0  2.0  0.0  \n",
       "2021-01-15  44.0  1.0  0.0  \n",
       "2021-01-16  53.0  3.0  0.0  \n",
       "2021-01-17  62.0  1.0  0.0  \n",
       "2021-01-18  27.0  3.0  0.0  \n",
       "2021-01-19  63.0  2.0  0.0  \n",
       "2021-01-20  38.0  2.0  0.0  \n",
       "2021-01-21  29.0  0.0  0.0  \n",
       "2021-01-22   3.0  0.0  0.0  \n",
       "2021-01-23   2.0  0.0  0.0  \n",
       "2021-01-24   1.0  0.0  0.0  \n",
       "2021-01-25  47.0  5.0  0.0  \n",
       "2021-01-26   3.0  0.0  0.0  \n",
       "2021-01-27  72.0  6.0  0.0  \n",
       "2021-01-28  77.0  8.0  0.0  \n",
       "2021-01-29  91.0  6.0  0.0  \n",
       "2021-01-30  50.0  7.0  0.0  \n",
       "2021-01-31  83.0  8.0  0.0  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ulsan_energy2021_t.columns=ulsan2021_7['date']\n",
    "ulsan_energy2021=ulsan_energy2021_t.T\n",
    "ulsan_energy2021.columns=list(range(7,20))\n",
    "ulsan_energy2021"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></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",
       "    <tr>\n",
       "      <th>2018-03-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>334.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>346.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-02</th>\n",
       "      <td>0.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>278.0</td>\n",
       "      <td>362.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>319.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2018-03-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>257.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2018-03-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2021-01-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>249.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2021-01-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>331.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1068 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             7     8      9      10     11     12     13     14     15     16  \\\n",
       "date                                                                            \n",
       "2018-03-01  0.0   4.0   35.0   71.0   82.0  334.0  372.0  346.0  318.0  258.0   \n",
       "2018-03-02  0.0  18.0  102.0  218.0  264.0  278.0  362.0  352.0  319.0  263.0   \n",
       "2018-03-03  0.0  14.0   75.0  103.0  167.0  143.0  168.0  256.0  311.0  250.0   \n",
       "2018-03-04  0.0  20.0   91.0  166.0  257.0  264.0  200.0  105.0   86.0   43.0   \n",
       "2018-03-05  0.0   0.0    0.0    3.0    0.0    8.0   14.0   21.0   22.0   21.0   \n",
       "...         ...   ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "2021-01-27  0.0   1.0   46.0  148.0  240.0  290.0  306.0  303.0  269.0  199.0   \n",
       "2021-01-28  0.0   0.0   17.0   75.0  160.0  249.0  294.0  294.0  256.0  130.0   \n",
       "2021-01-29  0.0   1.0   56.0  160.0  250.0  310.0  331.0  327.0  289.0  218.0   \n",
       "2021-01-30  0.0   1.0   44.0  144.0  228.0  238.0  292.0  297.0  231.0  140.0   \n",
       "2021-01-31  0.0   1.0   52.0  156.0  238.0  284.0  303.0  294.0  259.0  196.0   \n",
       "\n",
       "               17    18   19  \n",
       "date                          \n",
       "2018-03-01  160.0  30.0  0.0  \n",
       "2018-03-02  163.0  30.0  0.0  \n",
       "2018-03-03  151.0  31.0  0.0  \n",
       "2018-03-04   20.0   1.0  0.0  \n",
       "2018-03-05   16.0   9.0  0.0  \n",
       "...           ...   ...  ...  \n",
       "2021-01-27   72.0   6.0  0.0  \n",
       "2021-01-28   77.0   8.0  0.0  \n",
       "2021-01-29   91.0   6.0  0.0  \n",
       "2021-01-30   50.0   7.0  0.0  \n",
       "2021-01-31   83.0   8.0  0.0  \n",
       "\n",
       "[1068 rows x 13 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ulsan_energy_time=pd.concat([ulsan_energy2018,ulsan_energy2019,ulsan_energy2020,ulsan_energy2021])\n",
    "ulsan_energy_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "ulsan_energy_time.to_csv(\"C:\\\\Users\\\\sungb\\\\파이썬\\\\태양광 데이콘\\\\python\\\\ulsan_energy_time.csv\",index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 시간대별 변수 정렬"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 예측시 사용할 변수자체가 예측 데이터이다. \n",
    "# 이는 예보의 성향을 가지고 있을 것으로 예상이 되기에 train시에도 예보 데이터를 사용하기로하자"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 가장 최근의 예보데이터 사용해서 데이터 구성 & 선형보간\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "ulsan_fcst=pd.read_csv('ulsan_fcst_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "ulsan_fcst['Forecasted_time']=pd.to_datetime(ulsan_fcst['Forecast time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 예보시전에 forecast를 더하여 예보 시각을 나타내는 변수 생성\n",
    "def to_date(x):\n",
    "    return pd.DateOffset(hours=x)\n",
    "\n",
    "ulsan_fcst['Forecasted_time'] = ulsan_fcst['Forecasted_time'] + ulsan_fcst['forecast'].map(to_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Forecast time</th>\n",
       "      <th>forecast</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>WindSpeed</th>\n",
       "      <th>WindDirection</th>\n",
       "      <th>Cloud</th>\n",
       "      <th>Forecasted_time</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 15:00:00</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>298.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 18:00:00</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>309.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>318.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>16.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>308.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
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       "    <tr>\n",
       "      <th>162203</th>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "      <td>52.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>83.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-03 12:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162204</th>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "      <td>55.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-03 15:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162205</th>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "      <td>58.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>122.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-03 18:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162206</th>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "      <td>61.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>131.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-03 21:00:00</td>\n",
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       "    <tr>\n",
       "      <th>162207</th>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>188.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-04 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>162208 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Forecast time  forecast  Temperature  Humidity  WindSpeed  \\\n",
       "0       2018-03-01 11:00:00       4.0          8.0      20.0       14.0   \n",
       "1       2018-03-01 11:00:00       7.0          4.0      20.0        4.3   \n",
       "2       2018-03-01 11:00:00      10.0          3.0      30.0        1.9   \n",
       "3       2018-03-01 11:00:00      13.0          0.0      40.0        1.5   \n",
       "4       2018-03-01 11:00:00      16.0         -1.0      45.0        1.8   \n",
       "...                     ...       ...          ...       ...        ...   \n",
       "162203  2021-03-01 08:00:00      52.0          9.0      45.0        3.1   \n",
       "162204  2021-03-01 08:00:00      55.0          9.0      45.0        3.0   \n",
       "162205  2021-03-01 08:00:00      58.0          8.0      55.0        2.2   \n",
       "162206  2021-03-01 08:00:00      61.0          6.0      65.0        0.9   \n",
       "162207  2021-03-01 08:00:00      64.0          4.0      80.0        0.7   \n",
       "\n",
       "        WindDirection  Cloud     Forecasted_time  \n",
       "0               298.0    2.0 2018-03-01 15:00:00  \n",
       "1               298.0    2.0 2018-03-01 18:00:00  \n",
       "2               309.0    2.0 2018-03-01 21:00:00  \n",
       "3               318.0    2.0 2018-03-02 00:00:00  \n",
       "4               308.0    2.0 2018-03-02 03:00:00  \n",
       "...               ...    ...                 ...  \n",
       "162203           83.0    3.0 2021-03-03 12:00:00  \n",
       "162204          111.0    3.0 2021-03-03 15:00:00  \n",
       "162205          122.0    3.0 2021-03-03 18:00:00  \n",
       "162206          131.0    3.0 2021-03-03 21:00:00  \n",
       "162207          188.0    3.0 2021-03-04 00:00:00  \n",
       "\n",
       "[162208 rows x 8 columns]"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ulsan_fcst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Forecast time</th>\n",
       "      <th>forecast</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>WindSpeed</th>\n",
       "      <th>WindDirection</th>\n",
       "      <th>Cloud</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>4.0</td>\n",
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       "      <td>20.0</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>2018-03-01 15:00:00</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>298.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 18:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>298.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 18:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>309.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>309.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2018-03-01 17:00:00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>313.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>318.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2018-03-01 20:00:00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>321.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2018-03-01 17:00:00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>321.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>318.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>16.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>308.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2018-03-01 23:00:00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>299.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2018-03-01 17:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>299.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "      <td>13.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>308.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2018-03-01 20:00:00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>299.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2018-03-01 23:00:00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 06:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2018-03-01 20:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 06:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "      <td>16.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>294.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 06:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2018-03-01 17:00:00</td>\n",
       "      <td>13.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 06:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2018-03-02 02:00:00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 06:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>19.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>294.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 06:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2018-03-01 20:00:00</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>320.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2018-03-01 17:00:00</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>320.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2018-03-02 05:00:00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>315.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>321.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2018-03-02 02:00:00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>320.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2018-03-01 23:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>320.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>321.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>324.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 12:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2018-03-01 23:00:00</td>\n",
       "      <td>13.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>326.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-02 12:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Forecast time  forecast  Temperature  Humidity  WindSpeed  \\\n",
       "0    2018-03-01 11:00:00       4.0          8.0      20.0       14.0   \n",
       "20   2018-03-01 14:00:00       4.0          4.0      20.0        4.3   \n",
       "1    2018-03-01 11:00:00       7.0          4.0      20.0        4.3   \n",
       "2    2018-03-01 11:00:00      10.0          3.0      30.0        1.9   \n",
       "21   2018-03-01 14:00:00       7.0          3.0      30.0        1.9   \n",
       "39   2018-03-01 17:00:00       4.0          3.0      30.0        2.1   \n",
       "3    2018-03-01 11:00:00      13.0          0.0      40.0        1.5   \n",
       "57   2018-03-01 20:00:00       4.0          0.0      40.0        1.3   \n",
       "40   2018-03-01 17:00:00       7.0          0.0      40.0        1.3   \n",
       "22   2018-03-01 14:00:00      10.0          0.0      40.0        1.5   \n",
       "4    2018-03-01 11:00:00      16.0         -1.0      45.0        1.8   \n",
       "74   2018-03-01 23:00:00       4.0         -1.0      45.0        1.8   \n",
       "41   2018-03-01 17:00:00      10.0         -1.0      45.0        1.8   \n",
       "23   2018-03-01 14:00:00      13.0         -1.0      45.0        1.8   \n",
       "58   2018-03-01 20:00:00       7.0         -1.0      45.0        1.8   \n",
       "75   2018-03-01 23:00:00       7.0         -1.0      45.0        1.8   \n",
       "59   2018-03-01 20:00:00      10.0         -1.0      45.0        1.8   \n",
       "24   2018-03-01 14:00:00      16.0         -2.0      45.0        1.7   \n",
       "42   2018-03-01 17:00:00      13.0         -1.0      45.0        1.8   \n",
       "90   2018-03-02 02:00:00       4.0         -1.0      45.0        1.8   \n",
       "5    2018-03-01 11:00:00      19.0         -2.0      45.0        1.7   \n",
       "60   2018-03-01 20:00:00      13.0          0.0      35.0        1.6   \n",
       "43   2018-03-01 17:00:00      16.0          0.0      35.0        1.6   \n",
       "105  2018-03-02 05:00:00       4.0          0.0      40.0        1.7   \n",
       "6    2018-03-01 11:00:00      22.0          0.0      35.0        1.9   \n",
       "91   2018-03-02 02:00:00       7.0          0.0      35.0        1.6   \n",
       "76   2018-03-01 23:00:00      10.0          0.0      35.0        1.6   \n",
       "25   2018-03-01 14:00:00      19.0          0.0      35.0        1.9   \n",
       "26   2018-03-01 14:00:00      22.0          6.0      30.0        1.4   \n",
       "77   2018-03-01 23:00:00      13.0          6.0      25.0        1.4   \n",
       "\n",
       "     WindDirection  Cloud     Forecasted_time  \n",
       "0            298.0    2.0 2018-03-01 15:00:00  \n",
       "20           298.0    2.0 2018-03-01 18:00:00  \n",
       "1            298.0    2.0 2018-03-01 18:00:00  \n",
       "2            309.0    2.0 2018-03-01 21:00:00  \n",
       "21           309.0    2.0 2018-03-01 21:00:00  \n",
       "39           313.0    2.0 2018-03-01 21:00:00  \n",
       "3            318.0    2.0 2018-03-02 00:00:00  \n",
       "57           321.0    2.0 2018-03-02 00:00:00  \n",
       "40           321.0    2.0 2018-03-02 00:00:00  \n",
       "22           318.0    2.0 2018-03-02 00:00:00  \n",
       "4            308.0    2.0 2018-03-02 03:00:00  \n",
       "74           299.0    2.0 2018-03-02 03:00:00  \n",
       "41           299.0    2.0 2018-03-02 03:00:00  \n",
       "23           308.0    2.0 2018-03-02 03:00:00  \n",
       "58           299.0    2.0 2018-03-02 03:00:00  \n",
       "75           304.0    1.0 2018-03-02 06:00:00  \n",
       "59           304.0    1.0 2018-03-02 06:00:00  \n",
       "24           294.0    1.0 2018-03-02 06:00:00  \n",
       "42           304.0    1.0 2018-03-02 06:00:00  \n",
       "90           304.0    1.0 2018-03-02 06:00:00  \n",
       "5            294.0    1.0 2018-03-02 06:00:00  \n",
       "60           320.0    1.0 2018-03-02 09:00:00  \n",
       "43           320.0    1.0 2018-03-02 09:00:00  \n",
       "105          315.0    1.0 2018-03-02 09:00:00  \n",
       "6            321.0    1.0 2018-03-02 09:00:00  \n",
       "91           320.0    1.0 2018-03-02 09:00:00  \n",
       "76           320.0    1.0 2018-03-02 09:00:00  \n",
       "25           321.0    1.0 2018-03-02 09:00:00  \n",
       "26           324.0    1.0 2018-03-02 12:00:00  \n",
       "77           326.0    1.0 2018-03-02 12:00:00  "
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 가장 최근에 예보된 값으로 데이터 생성\n",
    "sorted_fcst=ulsan_fcst.sort_values(\"Forecasted_time\")\n",
    "sorted_fcst.head(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>Forecast_time</th>\n",
       "      <th>Forecast time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-03-01 15:00:00</td>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-01 18:00:00</td>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-01 21:00:00</td>\n",
       "      <td>2018-03-01 17:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
       "      <td>2018-03-01 20:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "      <td>2018-03-01 23:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8783</th>\n",
       "      <td>2021-03-03 12:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8784</th>\n",
       "      <td>2021-03-03 15:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8785</th>\n",
       "      <td>2021-03-03 18:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8786</th>\n",
       "      <td>2021-03-03 21:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8787</th>\n",
       "      <td>2021-03-04 00:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8788 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Forecast_time        Forecast time\n",
       "0    2018-03-01 15:00:00  2018-03-01 11:00:00\n",
       "1    2018-03-01 18:00:00  2018-03-01 14:00:00\n",
       "2    2018-03-01 21:00:00  2018-03-01 17:00:00\n",
       "3    2018-03-02 00:00:00  2018-03-01 20:00:00\n",
       "4    2018-03-02 03:00:00  2018-03-01 23:00:00\n",
       "...                  ...                  ...\n",
       "8783 2021-03-03 12:00:00  2021-03-01 08:00:00\n",
       "8784 2021-03-03 15:00:00  2021-03-01 08:00:00\n",
       "8785 2021-03-03 18:00:00  2021-03-01 08:00:00\n",
       "8786 2021-03-03 21:00:00  2021-03-01 08:00:00\n",
       "8787 2021-03-04 00:00:00  2021-03-01 08:00:00\n",
       "\n",
       "[8788 rows x 2 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### 시간별 예보 최근 데이터를 담기위한 행렬을 만들자\n",
    "\n",
    "last_time=pd.DataFrame(sorted_fcst.groupby(['Forecast_time'])['Forecast time'].max())\n",
    "last_time=last_time.reset_index()\n",
    "last_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "last_fcst=np.zeros((8788,5))\n",
    "for i in list(range(last_fcst.shape[0])):\n",
    "    last_fcst[i,:]=sorted_fcst[['Temperature','Humidity','WindSpeed','WindDirection','Cloud']][(sorted_fcst['Forecast time']==last_time.iloc[i,1])&(sorted_fcst['Forecast_time']==last_time.iloc[i,0])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "last_fcst=pd.DataFrame(last_fcst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "last_fcst['Forecast_time']=last_time['Forecast_time']\n",
    "last_fcst['Forecast time']=last_time['Forecast time']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "last_fcst.columns=['Temperature','Humidity','WindSpeed','WindDirection','Cloud','Forecast_time','Forecast time']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>WindSpeed</th>\n",
       "      <th>WindDirection</th>\n",
       "      <th>Cloud</th>\n",
       "      <th>Forecast_time</th>\n",
       "      <th>Forecast time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 15:00:00</td>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>298.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 18:00:00</td>\n",
       "      <td>2018-03-01 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>313.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 21:00:00</td>\n",
       "      <td>2018-03-01 17:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>321.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
       "      <td>2018-03-01 20:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>299.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "      <td>2018-03-01 23:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8783</th>\n",
       "      <td>9.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>83.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-03 12:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8784</th>\n",
       "      <td>9.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-03 15:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8785</th>\n",
       "      <td>8.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>122.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-03 18:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8786</th>\n",
       "      <td>6.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>131.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-03 21:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8787</th>\n",
       "      <td>4.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>188.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-03-04 00:00:00</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8788 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Temperature  Humidity  WindSpeed  WindDirection  Cloud  \\\n",
       "0             8.0      20.0       14.0          298.0    2.0   \n",
       "1             4.0      20.0        4.3          298.0    2.0   \n",
       "2             3.0      30.0        2.1          313.0    2.0   \n",
       "3             0.0      40.0        1.3          321.0    2.0   \n",
       "4            -1.0      45.0        1.8          299.0    2.0   \n",
       "...           ...       ...        ...            ...    ...   \n",
       "8783          9.0      45.0        3.1           83.0    3.0   \n",
       "8784          9.0      45.0        3.0          111.0    3.0   \n",
       "8785          8.0      55.0        2.2          122.0    3.0   \n",
       "8786          6.0      65.0        0.9          131.0    3.0   \n",
       "8787          4.0      80.0        0.7          188.0    3.0   \n",
       "\n",
       "           Forecast_time        Forecast time  \n",
       "0    2018-03-01 15:00:00  2018-03-01 11:00:00  \n",
       "1    2018-03-01 18:00:00  2018-03-01 14:00:00  \n",
       "2    2018-03-01 21:00:00  2018-03-01 17:00:00  \n",
       "3    2018-03-02 00:00:00  2018-03-01 20:00:00  \n",
       "4    2018-03-02 03:00:00  2018-03-01 23:00:00  \n",
       "...                  ...                  ...  \n",
       "8783 2021-03-03 12:00:00  2021-03-01 08:00:00  \n",
       "8784 2021-03-03 15:00:00  2021-03-01 08:00:00  \n",
       "8785 2021-03-03 18:00:00  2021-03-01 08:00:00  \n",
       "8786 2021-03-03 21:00:00  2021-03-01 08:00:00  \n",
       "8787 2021-03-04 00:00:00  2021-03-01 08:00:00  \n",
       "\n",
       "[8788 rows x 7 columns]"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "last_fcst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                0\n",
       "1                0\n",
       "2                0\n",
       "3                0\n",
       "4                0\n",
       "Forecast_time    0\n",
       "Forecast time    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "last_fcst.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 연산이 오래 걸리므로 데이터를 추출해둔다\n",
    "last_fcst.to_csv(\"C:\\\\Users\\\\sungb\\\\파이썬\\\\태양광 데이콘\\\\python\\\\ulsan_last_fcst.csv\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "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>Temperature</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>WindSpeed</th>\n",
       "      <th>WindDirection</th>\n",
       "      <th>Cloud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8788.000000</td>\n",
       "      <td>8788.000000</td>\n",
       "      <td>8788.000000</td>\n",
       "      <td>8788.000000</td>\n",
       "      <td>8788.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>15.057795</td>\n",
       "      <td>67.365157</td>\n",
       "      <td>3.536299</td>\n",
       "      <td>198.292899</td>\n",
       "      <td>2.441966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.380721</td>\n",
       "      <td>19.499003</td>\n",
       "      <td>2.703466</td>\n",
       "      <td>113.774384</td>\n",
       "      <td>1.233121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-12.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>229.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>22.000000</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>35.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>36.099998</td>\n",
       "      <td>360.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Temperature     Humidity    WindSpeed  WindDirection        Cloud\n",
       "count  8788.000000  8788.000000  8788.000000    8788.000000  8788.000000\n",
       "mean     15.057795    67.365157     3.536299     198.292899     2.441966\n",
       "std       8.380721    19.499003     2.703466     113.774384     1.233121\n",
       "min     -12.000000     5.000000     0.000000       0.000000     1.000000\n",
       "25%       9.000000    55.000000     1.900000      68.000000     1.000000\n",
       "50%      16.000000    70.000000     2.900000     229.000000     3.000000\n",
       "75%      22.000000    85.000000     4.200000     300.000000     4.000000\n",
       "max      35.000000   100.000000    36.099998     360.000000     4.000000"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "last_fcst.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 회귀로 갈거면 섭씨->화씨 전환\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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