fcst_data_mg.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:35.737837Z",
     "start_time": "2021-05-06T17:58:35.724871Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import lightgbm as lgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.006983Z",
     "start_time": "2021-05-06T17:58:35.739833Z"
    }
   },
   "outputs": [],
   "source": [
    "energy = pd.read_csv('data/energy.csv')\n",
    "dangjin_fcst = pd.read_csv('./data/dangjin_fcst_data.csv')\n",
    "ulsan_fcst = pd.read_csv('./data/ulsan_fcst_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.051870Z",
     "start_time": "2021-05-06T17:58:36.008976Z"
    }
   },
   "outputs": [],
   "source": [
    "dangjin_fcst['Forecast_time'] = pd.to_datetime(dangjin_fcst['Forecast time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.081781Z",
     "start_time": "2021-05-06T17:58:36.053856Z"
    }
   },
   "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>Forecast_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>309.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018-03-01 11:00:00</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>-2.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>314.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-01 11:00:00</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>-2.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>323.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-01 11:00:00</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>-2.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-01 11:00:00</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>-4.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>339.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-03-01 11:00:00</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\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>7.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>187.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021-03-01 08:00:00</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>8.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>217.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021-03-01 08:00:00</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>5.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>210.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021-03-01 08:00:00</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>1.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>164.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162207</th>\n",
       "      <td>2021-03-01 08:00:00</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>152.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021-03-01 08:00:00</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          0.0      60.0        7.3   \n",
       "1       2018-03-01 11:00:00       7.0         -2.0      60.0        7.1   \n",
       "2       2018-03-01 11:00:00      10.0         -2.0      60.0        6.7   \n",
       "3       2018-03-01 11:00:00      13.0         -2.0      55.0        6.7   \n",
       "4       2018-03-01 11:00:00      16.0         -4.0      55.0        5.5   \n",
       "...                     ...       ...          ...       ...        ...   \n",
       "162203  2021-03-01 08:00:00      52.0          7.0      40.0        3.2   \n",
       "162204  2021-03-01 08:00:00      55.0          8.0      40.0        4.5   \n",
       "162205  2021-03-01 08:00:00      58.0          5.0      55.0        2.2   \n",
       "162206  2021-03-01 08:00:00      61.0          1.0      80.0        1.9   \n",
       "162207  2021-03-01 08:00:00      64.0          1.0      80.0        2.1   \n",
       "\n",
       "        WindDirection  Cloud       Forecast_time  \n",
       "0               309.0    2.0 2018-03-01 11:00:00  \n",
       "1               314.0    1.0 2018-03-01 11:00:00  \n",
       "2               323.0    1.0 2018-03-01 11:00:00  \n",
       "3               336.0    1.0 2018-03-01 11:00:00  \n",
       "4               339.0    1.0 2018-03-01 11:00:00  \n",
       "...               ...    ...                 ...  \n",
       "162203          187.0    1.0 2021-03-01 08:00:00  \n",
       "162204          217.0    1.0 2021-03-01 08:00:00  \n",
       "162205          210.0    1.0 2021-03-01 08:00:00  \n",
       "162206          164.0    1.0 2021-03-01 08:00:00  \n",
       "162207          152.0    1.0 2021-03-01 08:00:00  \n",
       "\n",
       "[162208 rows x 8 columns]"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dangjin_fcst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.111986Z",
     "start_time": "2021-05-06T17:58:36.083000Z"
    }
   },
   "outputs": [],
   "source": [
    "fcst_dj_14 = dangjin_fcst[dangjin_fcst['Forecast_time'].dt.hour ==14]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "14시 예보만 사용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.126773Z",
     "start_time": "2021-05-06T17:58:36.113731Z"
    }
   },
   "outputs": [],
   "source": [
    "fcst_dj_14 = fcst_dj_14[(fcst_dj_14['forecast']>=10)&(fcst_dj_14['forecast']<=33)]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "10시간 후(00시)~33시간 후(23시)까지의 데이터만 이용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.142039Z",
     "start_time": "2021-05-06T17:58:36.128656Z"
    }
   },
   "outputs": [],
   "source": [
    "fcst_dj_14 = fcst_dj_14[(fcst_dj_14['forecast'] >=10) & \n",
    "                        (fcst_dj_14['forecast'] <34)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T16:18:48.585609Z",
     "start_time": "2021-05-06T16:18:48.547858Z"
    }
   },
   "source": [
    "예보 시점에 forecast를 더해서 예보 시각 계산"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.366275Z",
     "start_time": "2021-05-06T17:58:36.144938Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\arrays\\datetimelike.py:1342: PerformanceWarning: Adding/subtracting object-dtype array to DatetimeArray not vectorized\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "def to_date(x):\n",
    "    return pd.DateOffset(hours=x)\n",
    "\n",
    "fcst_dj_14['Forecast_time'] = fcst_dj_14['Forecast_time'] +\\\n",
    "fcst_dj_14['forecast'].map(to_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.381271Z",
     "start_time": "2021-05-06T17:58:36.368269Z"
    }
   },
   "outputs": [],
   "source": [
    "fcst_dj_14 = fcst_dj_14[['Forecast_time', 'Temperature', 'Humidity', 'WindSpeed', 'WindDirection', 'Cloud']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.411154Z",
     "start_time": "2021-05-06T17:58:36.383230Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Forecast_time</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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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>339.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2018-03-02 06:00:00</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>344.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2018-03-02 09:00:00</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>345.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2018-03-02 12:00:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>256.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162085</th>\n",
       "      <td>2021-03-01 09:00:00</td>\n",
       "      <td>8.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3.9</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162086</th>\n",
       "      <td>2021-03-01 12:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>162087</th>\n",
       "      <td>2021-03-01 15:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162088</th>\n",
       "      <td>2021-03-01 18:00:00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>34.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162089</th>\n",
       "      <td>2021-03-01 21:00:00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>27.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8768 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Forecast_time  Temperature  Humidity  WindSpeed  WindDirection  \\\n",
       "22     2018-03-02 00:00:00         -2.0      55.0        6.7          336.0   \n",
       "23     2018-03-02 03:00:00         -4.0      55.0        5.5          339.0   \n",
       "24     2018-03-02 06:00:00         -5.0      60.0        4.3          344.0   \n",
       "25     2018-03-02 09:00:00         -2.0      55.0        2.0          345.0   \n",
       "26     2018-03-02 12:00:00          1.0      45.0        0.8          256.0   \n",
       "...                    ...          ...       ...        ...            ...   \n",
       "162085 2021-03-01 09:00:00          8.0      90.0        3.9           64.0   \n",
       "162086 2021-03-01 12:00:00         10.0      90.0        4.8            7.0   \n",
       "162087 2021-03-01 15:00:00         10.0      85.0        6.6           11.0   \n",
       "162088 2021-03-01 18:00:00          7.0      85.0        6.5           34.0   \n",
       "162089 2021-03-01 21:00:00          5.0      85.0        5.9           27.0   \n",
       "\n",
       "        Cloud  \n",
       "22        1.0  \n",
       "23        1.0  \n",
       "24        1.0  \n",
       "25        1.0  \n",
       "26        1.0  \n",
       "...       ...  \n",
       "162085    4.0  \n",
       "162086    4.0  \n",
       "162087    4.0  \n",
       "162088    4.0  \n",
       "162089    4.0  \n",
       "\n",
       "[8768 rows x 6 columns]"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcst_dj_14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.426115Z",
     "start_time": "2021-05-06T17:58:36.413193Z"
    }
   },
   "outputs": [],
   "source": [
    "fcst_dj_14_ = pd.DataFrame()\n",
    "fcst_dj_14_['Forecast_time'] = pd.date_range(start='2018-03-02 00:00:00',\n",
    "                                          end='2021-03-01 23:00:00', freq='H')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.441074Z",
     "start_time": "2021-05-06T17:58:36.428109Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <td>2021-03-01 20:00:00</td>\n",
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       "            Forecast_time\n",
       "0     2018-03-02 00:00:00\n",
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       "...                   ...\n",
       "26299 2021-03-01 19:00:00\n",
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       "\n",
       "[26304 rows x 1 columns]"
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     "execution_count": 184,
     "metadata": {},
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    }
   ],
   "source": [
    "fcst_dj_14_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "기존 예보 DataFrame와 병합"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.456034Z",
     "start_time": "2021-05-06T17:58:36.443069Z"
    }
   },
   "outputs": [],
   "source": [
    "fcst_dj_14_ = pd.merge(fcst_dj_14_, fcst_dj_14, on='Forecast_time', how='outer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.485954Z",
     "start_time": "2021-05-06T17:58:36.458029Z"
    }
   },
   "outputs": [
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      ],
      "text/plain": [
       "         Forecast_time  Temperature  Humidity  WindSpeed  WindDirection  Cloud\n",
       "0  2018-03-02 00:00:00         -2.0      55.0        6.7          336.0    1.0\n",
       "1  2018-03-02 01:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "2  2018-03-02 02:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "3  2018-03-02 03:00:00         -4.0      55.0        5.5          339.0    1.0\n",
       "4  2018-03-02 04:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "5  2018-03-02 05:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "6  2018-03-02 06:00:00         -5.0      60.0        4.3          344.0    1.0\n",
       "7  2018-03-02 07:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "8  2018-03-02 08:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "9  2018-03-02 09:00:00         -2.0      55.0        2.0          345.0    1.0\n",
       "10 2018-03-02 10:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "11 2018-03-02 11:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "12 2018-03-02 12:00:00          1.0      45.0        0.8          256.0    1.0\n",
       "13 2018-03-02 13:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "14 2018-03-02 14:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "15 2018-03-02 15:00:00          3.0      50.0        2.3          270.0    1.0\n",
       "16 2018-03-02 16:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "17 2018-03-02 17:00:00          NaN       NaN        NaN            NaN    NaN\n",
       "18 2018-03-02 18:00:00          1.0      55.0        1.9          264.0    1.0\n",
       "19 2018-03-02 19:00:00          NaN       NaN        NaN            NaN    NaN"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcst_dj_14_.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:36.500914Z",
     "start_time": "2021-05-06T17:58:36.487949Z"
    }
   },
   "outputs": [],
   "source": [
    "dangjin_fcst = fcst_dj_14_[['Forecast_time', 'Temperature', 'Humidity', 'WindSpeed', 'WindDirection', 'Cloud']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:43.458055Z",
     "start_time": "2021-05-06T17:58:36.502909Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-188-170add10f92b>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['Temperature'][3*i+1] = fcst_dj_14_['Temperature'][3*i]\n",
      "<ipython-input-188-170add10f92b>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['Temperature'][3*i+2] = fcst_dj_14_['Temperature'][3*i+3]\n",
      "<ipython-input-188-170add10f92b>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['Humidity'][3*i+1] = fcst_dj_14_['Humidity'][3*i]\n",
      "<ipython-input-188-170add10f92b>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['Humidity'][3*i+2] = fcst_dj_14_['Humidity'][3*i+3]\n",
      "<ipython-input-188-170add10f92b>:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['WindSpeed'][3*i+1] = fcst_dj_14_['WindSpeed'][3*i]\n",
      "<ipython-input-188-170add10f92b>:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['WindSpeed'][3*i+2] = fcst_dj_14_['WindSpeed'][3*i+3]\n",
      "<ipython-input-188-170add10f92b>:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['WindDirection'][3*i+1] = fcst_dj_14_['WindDirection'][3*i]\n",
      "<ipython-input-188-170add10f92b>:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['WindDirection'][3*i+2] = fcst_dj_14_['WindDirection'][3*i+3]\n",
      "<ipython-input-188-170add10f92b>:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['Cloud'][3*i+1] = fcst_dj_14_['Cloud'][3*i]\n",
      "<ipython-input-188-170add10f92b>:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dangjin_fcst['Cloud'][3*i+2] = fcst_dj_14_['Cloud'][3*i+3]\n"
     ]
    }
   ],
   "source": [
    "for i in range(0, 8767) :\n",
    "    dangjin_fcst['Temperature'][3*i+1] = fcst_dj_14_['Temperature'][3*i]\n",
    "    dangjin_fcst['Temperature'][3*i+2] = fcst_dj_14_['Temperature'][3*i+3]\n",
    "    dangjin_fcst['Humidity'][3*i+1] = fcst_dj_14_['Humidity'][3*i]\n",
    "    dangjin_fcst['Humidity'][3*i+2] = fcst_dj_14_['Humidity'][3*i+3]\n",
    "    dangjin_fcst['WindSpeed'][3*i+1] = fcst_dj_14_['WindSpeed'][3*i]\n",
    "    dangjin_fcst['WindSpeed'][3*i+2] = fcst_dj_14_['WindSpeed'][3*i+3]\n",
    "    dangjin_fcst['WindDirection'][3*i+1] = fcst_dj_14_['WindDirection'][3*i]\n",
    "    dangjin_fcst['WindDirection'][3*i+2] = fcst_dj_14_['WindDirection'][3*i+3]\n",
    "    dangjin_fcst['Cloud'][3*i+1] = fcst_dj_14_['Cloud'][3*i]\n",
    "    dangjin_fcst['Cloud'][3*i+2] = fcst_dj_14_['Cloud'][3*i+3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:43.488056Z",
     "start_time": "2021-05-06T17:58:43.460093Z"
    }
   },
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-02 01:00:00</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-02 02:00:00</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>339.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>339.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-02 04:00:00</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>339.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>26299</th>\n",
       "      <td>2021-03-01 19:00:00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>34.0</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>26300</th>\n",
       "      <td>2021-03-01 20:00:00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>27.0</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>26301</th>\n",
       "      <td>2021-03-01 21:00:00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>27.0</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>26302</th>\n",
       "      <td>2021-03-01 22:00:00</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>26303</th>\n",
       "      <td>2021-03-01 23:00:00</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>26304 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Forecast_time  Temperature  Humidity  WindSpeed  WindDirection  \\\n",
       "0     2018-03-02 00:00:00         -2.0      55.0        6.7          336.0   \n",
       "1     2018-03-02 01:00:00         -2.0      55.0        6.7          336.0   \n",
       "2     2018-03-02 02:00:00         -4.0      55.0        5.5          339.0   \n",
       "3     2018-03-02 03:00:00         -4.0      55.0        5.5          339.0   \n",
       "4     2018-03-02 04:00:00         -4.0      55.0        5.5          339.0   \n",
       "...                   ...          ...       ...        ...            ...   \n",
       "26299 2021-03-01 19:00:00          7.0      85.0        6.5           34.0   \n",
       "26300 2021-03-01 20:00:00          5.0      85.0        5.9           27.0   \n",
       "26301 2021-03-01 21:00:00          5.0      85.0        5.9           27.0   \n",
       "26302 2021-03-01 22:00:00          NaN       NaN        NaN            NaN   \n",
       "26303 2021-03-01 23:00:00          NaN       NaN        NaN            NaN   \n",
       "\n",
       "       Cloud  \n",
       "0        1.0  \n",
       "1        1.0  \n",
       "2        1.0  \n",
       "3        1.0  \n",
       "4        1.0  \n",
       "...      ...  \n",
       "26299    4.0  \n",
       "26300    4.0  \n",
       "26301    4.0  \n",
       "26302    NaN  \n",
       "26303    NaN  \n",
       "\n",
       "[26304 rows x 6 columns]"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dangjin_fcst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:43.502937Z",
     "start_time": "2021-05-06T17:58:43.490835Z"
    }
   },
   "outputs": [],
   "source": [
    "dangjin_fcst_2 = fcst_dj_14_[['Forecast_time', 'Temperature', 'Humidity', 'WindSpeed', 'WindDirection', 'Cloud']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:43.547681Z",
     "start_time": "2021-05-06T17:58:43.505797Z"
    }
   },
   "outputs": [],
   "source": [
    "dangjin_fcst_2[ ['Temperature', 'Humidity', 'WindSpeed', 'WindDirection', 'Cloud'] ]= \\\n",
    "(dangjin_fcst[['Temperature', 'Humidity', 'WindSpeed', 'WindDirection', 'Cloud']] +\\\n",
    " fcst_dj_14_.interpolate()[[ 'Temperature', 'Humidity', 'WindSpeed', 'WindDirection', 'Cloud']])/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:43.593679Z",
     "start_time": "2021-05-06T17:58:43.549677Z"
    }
   },
   "outputs": [],
   "source": [
    "inter_fcst_14 = fcst_dj_14_.interpolate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:43.623580Z",
     "start_time": "2021-05-06T17:58:43.595555Z"
    }
   },
   "outputs": [
    {
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       "            Forecast_time  Temperature  Humidity  WindSpeed  WindDirection  \\\n",
       "0     2018-03-02 00:00:00         -2.0      55.0        6.7          336.0   \n",
       "1     2018-03-02 01:00:00         -2.0      55.0        6.7          336.0   \n",
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       "26300 2021-03-01 20:00:00          5.0      85.0        5.9           27.0   \n",
       "26301 2021-03-01 21:00:00          5.0      85.0        5.9           27.0   \n",
       "26302 2021-03-01 22:00:00          NaN       NaN        NaN            NaN   \n",
       "26303 2021-03-01 23:00:00          NaN       NaN        NaN            NaN   \n",
       "\n",
       "       Cloud  \n",
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       "2        1.0  \n",
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       "4        1.0  \n",
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       "26300    4.0  \n",
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       "26303    NaN  \n",
       "\n",
       "[26304 rows x 6 columns]"
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     "start_time": "2021-05-06T17:58:43.625596Z"
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    {
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      "text/plain": [
       "            Forecast_time  Temperature   Humidity  WindSpeed  WindDirection  \\\n",
       "0     2018-03-02 00:00:00    -2.000000  55.000000        6.7     336.000000   \n",
       "1     2018-03-02 01:00:00    -2.333333  55.000000        6.5     336.500000   \n",
       "2     2018-03-02 02:00:00    -3.666667  55.000000        5.7     338.500000   \n",
       "3     2018-03-02 03:00:00    -4.000000  55.000000        5.5     339.000000   \n",
       "4     2018-03-02 04:00:00    -4.166667  55.833333        5.3     339.833333   \n",
       "...                   ...          ...        ...        ...            ...   \n",
       "26299 2021-03-01 19:00:00     6.666667  85.000000        6.4      32.833333   \n",
       "26300 2021-03-01 20:00:00     5.333333  85.000000        6.0      28.166667   \n",
       "26301 2021-03-01 21:00:00     5.000000  85.000000        5.9      27.000000   \n",
       "26302 2021-03-01 22:00:00          NaN        NaN        NaN            NaN   \n",
       "26303 2021-03-01 23:00:00          NaN        NaN        NaN            NaN   \n",
       "\n",
       "       Cloud  \n",
       "0        1.0  \n",
       "1        1.0  \n",
       "2        1.0  \n",
       "3        1.0  \n",
       "4        1.0  \n",
       "...      ...  \n",
       "26299    4.0  \n",
       "26300    4.0  \n",
       "26301    4.0  \n",
       "26302    NaN  \n",
       "26303    NaN  \n",
       "\n",
       "[26304 rows x 6 columns]"
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       "<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>Forecast_time</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>0</th>\n",
       "      <td>2018-03-02 00:00:00</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>6.7</td>\n",
       "      <td>336.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-02 01:00:00</td>\n",
       "      <td>-2.666667</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>6.3</td>\n",
       "      <td>337.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-02 02:00:00</td>\n",
       "      <td>-3.333333</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>5.9</td>\n",
       "      <td>338.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-02 03:00:00</td>\n",
       "      <td>-4.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>5.5</td>\n",
       "      <td>339.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-02 04:00:00</td>\n",
       "      <td>-4.333333</td>\n",
       "      <td>56.666667</td>\n",
       "      <td>5.1</td>\n",
       "      <td>340.666667</td>\n",
       "      <td>1.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26299</th>\n",
       "      <td>2021-03-01 19:00:00</td>\n",
       "      <td>6.333333</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>6.3</td>\n",
       "      <td>31.666667</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26300</th>\n",
       "      <td>2021-03-01 20:00:00</td>\n",
       "      <td>5.666667</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>6.1</td>\n",
       "      <td>29.333333</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26301</th>\n",
       "      <td>2021-03-01 21:00:00</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>5.9</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26302</th>\n",
       "      <td>2021-03-01 22:00:00</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>5.9</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26303</th>\n",
       "      <td>2021-03-01 23:00:00</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>5.9</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>26304 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Forecast_time  Temperature   Humidity  WindSpeed  WindDirection  \\\n",
       "0     2018-03-02 00:00:00    -2.000000  55.000000        6.7     336.000000   \n",
       "1     2018-03-02 01:00:00    -2.666667  55.000000        6.3     337.000000   \n",
       "2     2018-03-02 02:00:00    -3.333333  55.000000        5.9     338.000000   \n",
       "3     2018-03-02 03:00:00    -4.000000  55.000000        5.5     339.000000   \n",
       "4     2018-03-02 04:00:00    -4.333333  56.666667        5.1     340.666667   \n",
       "...                   ...          ...        ...        ...            ...   \n",
       "26299 2021-03-01 19:00:00     6.333333  85.000000        6.3      31.666667   \n",
       "26300 2021-03-01 20:00:00     5.666667  85.000000        6.1      29.333333   \n",
       "26301 2021-03-01 21:00:00     5.000000  85.000000        5.9      27.000000   \n",
       "26302 2021-03-01 22:00:00     5.000000  85.000000        5.9      27.000000   \n",
       "26303 2021-03-01 23:00:00     5.000000  85.000000        5.9      27.000000   \n",
       "\n",
       "       Cloud  \n",
       "0        1.0  \n",
       "1        1.0  \n",
       "2        1.0  \n",
       "3        1.0  \n",
       "4        1.0  \n",
       "...      ...  \n",
       "26299    4.0  \n",
       "26300    4.0  \n",
       "26301    4.0  \n",
       "26302    4.0  \n",
       "26303    4.0  \n",
       "\n",
       "[26304 rows x 6 columns]"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inter_fcst_14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:56:43.418169Z",
     "start_time": "2021-05-06T17:56:43.202713Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x18ded2f3a00>]"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "days = 5\n",
    "plt.plot(inter_fcst_14.loc[:24*days, 'Forecast_time'], inter_fcst_14.loc[:24*days, 'Temperature'], '.-')\n",
    "plt.plot(fcst_dj_14_.loc[:24*days, 'Forecast_time'], fcst_dj_14_.loc[:24*days, 'Temperature'], 'o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:00:28.862104Z",
     "start_time": "2021-05-06T18:00:28.639318Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x18dec4fc760>]"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "days = 5\n",
    "plt.plot(dangjin_fcst.loc[:24*days, 'Forecast_time'], dangjin_fcst.loc[:24*days, 'Temperature'], '.-')\n",
    "plt.plot(fcst_dj_14_.loc[:24*days, 'Forecast_time'], fcst_dj_14_.loc[:24*days, 'Temperature'], 'o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T17:58:53.148902Z",
     "start_time": "2021-05-06T17:58:52.941881Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x18ded2d5dc0>]"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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pPttaRoPPMnVEYIeK3HruSCyWR5bmBHS/IsfDVhS0vqKt5dJuU0fE89nWMuoafE6HIiIiEjaUJBIRkU6xIrcUr9swKTkuoPtNiu3BVacO5aXM7WwrVS8DcY7PZ9nj7d/6ypikrg0mBE1JiaeqrpHsgj1OhyIiIhI2lCQSEZFOsSKvlJOHxBId4Q74vm89dyRul2He0s0B37dIezT6LD/+zxru2f8N6l0tiqh7o2H6XGcCCyEHClavyNXsZiIiIl1FSSIREQm4iqp61u2oYEqAh5odkNgnim+lJ/PKqgJyd1d2ShsibWlo9PGjF1fzyqodjJp+Pd7LHoGYIYDxX8+aB6mznQ4z6MX2jGDswD4sV5JIRESky3icDkBERELPyi2l+CydliQCuPmcETy3chsPL97MvKtP7rR2RJqra/Bxxwuf8/a6nfzPhSfwg7NHAKOUFOokU0bE86+MfGrqG4nyBr5XooiIiBxKPYlERCTgVuSVEulxcfLQvp3WRr9ekXz39GEszC5k4859ndaOyAG1DY38cH4Wb6/bydxLxjYliKQzTR0RT12Dj1Xbyp0ORUREJCwoSSQiIgG3IreUU4fFEenp3F/+bzwzhZ4RHh5atKlT2xGpqW/kxmezWLxhF7+7bBzXnzHc6ZDCwuThcbhdRnWJREREuoiSRCIiElCllbV8uXNfpw41OyC2ZwTfP2M476zfydzX1pGVr94GEnjLc0o4/6EP+WDTbu7/RirfSk92OqSw0TvKy7jBMapLJCIi0kWUJBIRkYDKyCsDOrceUXOThsUC8OyKfK58YgUrcku6pF0JD1n55Xz7b5+SX1aF120Y0b+X0yGFnakj4lmzfQ/7axucDkVERCTkKUkkIiIBtTy3hF6RHlIHx3RJe9kFFbiM/3aDzzLnn5k89WEeVXX6Qikdl5FXSqPPAuDzWTLy1KOlq00dEU+Dz/LZ1jKnQxEREQl5ShKJiEhArcgtZfLwODzurvkXk54ST4THhdtAhNtFSkJPfv/WBs74wzIeW5ZDddbz8NA4uLev/zp7QZfEJaEhpV9PAAzg9bhIT+maHnLylUnJcXjdqkskIiLSFTxOByAiIqFjZ0UNeSX7uXry0C5rMy05lvlz0snIKyU9JZ605Fiy8st5ZOlmNi56BiKeBur8G1dsh4W3+29rynJph7019QB874xhXDx+EGnJsQ5HFH6iI9ycPCSWFerFJSIi0umUJBIRkYBZkeevB9RV9YgOSEuOPeTLe1pyLP/43mTq/vRdIirrDt24vprad+/BnvgNorydO/uaBL8VuaUk9I7k1xePxRjjdDhha8qIeB5ZupmKqnpienidDkdERCRkKUkkIiIBszynlJhoL2MH9nE6FAAiKgtbXe6tLOKEe99j4pC+TB4ed3Ca7dXb9xzsjSRirWV5bilTUuKVIHLY1BHxPLxkMyu3lDLzpAFOhyMiIhKylCQSEZGAWZ5bSnpKHC5XN/lCHZPkH2LWQm3PgXx33DBWbinjrx/k8uiyHMBfdybS62L+nHQlioTc3fvZta+WqV3cM04ON3FoXyI9LpbnKkkkIiLSmVS4WkREAmJ7WRU79lQzdUQ/p0P5yvS54I0+dJk3mugLfsMvLjqR1245nTX3zOSbaUkAWKC23seK3JKuj1W6nQPvg271ng5TkR43pw6L0+xyIiIinUxJIhERCYjlB79Qd6NeF6mzYdY8iBkCGP/1rHmHFK3uFenhqslDifK6MPgTRZlbyw9Oey7ha0VeKYP7RjMkLvroG0unmzIini937qOkstbpUEREREKWhpuJiEhALM8tpV+vSEb27+V0KIdKnX3Umcyaz5C2vayKFz7bzp0vrubB2RPwuPV7Sjjy+SwrckuZfmKi6hF1EwcK4mfklXJJ6iCHoxEREQlNShKJiEiHWev/Qj1lRPAW+G0+Q1pyfE/+8M6X1Df6mHf1yXiVKAo7X+7cR3lVfffqGRfmUgfH0CvSw4pcJYlEREQ6i856RUSkw0KtwO/N54zgVxefyNvrdnLzv1dR29DodEjSxVY01b6ZEiLv6VDgcbuYPDyOFbmqSyQiItJZlCQSEZEOO1Dgd0pK6HyhnnNmCvddehKLNxTzg39lUVOvRFE4WZFbwvB+PRkYo3pE3cmUlHjySvazs6LG6VBERERCUruTRMaYvxljdhlj1jVbFmeMWWSM2dx03ep8wcaYC4wxG40xOcaYnwcicBER6T5W5JUyKCaK5PgeTocSUNdNGcb/+/p4Pti0m9mPr+DhxZvIyi93OizpZA2NPlbmlakXUTd04G+yIk8zEIqIiHSGY+lJ9A/gghbLfg4ssdaOApY03T+EMcYNPAZcCIwFrjbGjD2uaEVEpNs5UOB3yoh+QVuP6EiunjyUW6aNJHtHBQ8t3syVT6zg1VU78LWc/Sx7ATw0Du7t67/OXuBIvNJx6wv3sq+2IaR6xoWKsQP7EBPtZXmOhpyJiIh0hnYXrrbWfmiMGdZi8aXAOU23/wm8D/ysxTaTgRxrbR6AMeaFpsd9cezhiohIdxMOBX6jvW4MYIEGn+XOBau57431nDosjsnD4zjf9yFJH/8cU1/tf0DFdlh4u//2UWZWk+5neVPNm3Qlibodl8swJSWe5bmlWGtDMjEtIiLipI7WJEq01hYBNF33b2WbwcD2ZvcLmpaJiEgIWH6gHlEIJ4nSU+KJ9LpwG4j0uLhl2gjOOzGRjcX7+N2bGzBLfvtVguiA+mpYcp8zAUuHLM8tYUxibxJ6RzodirRiyoh4duypZntZ9dE3FhERkWPS7p5EHdDaTzy2lWX+jY25EbgRYOjQoZ0Vk4iIBEhGXinD4nswqG/oFvhNS45l/px0MvJKSU+JJy35qxJ8RRXVDHio9aEvtqKg1X+C0n3VNfjI3FrOlacOcToUacPUZnWJhsbrXFFERCSQOtqTqNgYMxCg6XpXK9sUAM3PtJKAwrZ2aK190lo7yVo7KSEhoYPhiYhIZ/qqwG8/p0PpdGnJsdwybeQhCSKAgTHRmJikVh9TbPrx3Mpt1DZoZrRgsaZgD9X1jSHdMy7Yjezfi369Ig8OCxQREZHA6WiS6HXgO023vwO81so2nwGjjDHDjTERwFVNjxMRkSD3n1UF7KttYEBMlNOhOGv6XPAe2pOq0R3F/F7f5RevruWcP77PPz7ZworcEh5blqMZ0rqx5TmlGAPpw5Uk6q6MMUwZEc8Hm3bz2LLNOp5EREQCqN3DzYwxz+MvUt3PGFMA3AP8H7DAGPN9YBvwzaZtBwFPW2svstY2GGNuBd4F3MDfrLXrA/s0RESkq2Xll/OrV9cB8JdlOZwxst9hvWzCxoHi1Evug4oCiEnCPX0ud43/JpNzSnhkSQ73LvTP12CASK+L+XPSw/f16saW55YwblAMMT28TociRzC4bxR7qup54L1NRHhydDyJiIgEyLHMbnZ1G6umt7JtIXBRs/tvAW8dc3QiItJtvfjZNhqapoFvaPSRkVca3l/SUmcfNpOZAc4clcCZoxL4+cvZvPDZdiz+ujdh/3p1QzX1jXy+bQ/fPX2Y06FIO/ks1Ot4EhERCZiODjcTEZEw9P7GXbz6+Q4M4Dbg9bg0XfhRfHPSEKI8X/3b1evV/WTll1PX6FM9oiAwY+wAItz+48lnYUxib4cjEhERCQ1KEomIyDFZ/EUxNz6bxejE3vz9e6dy18wxGurRDmnJscy/IZ0zR/XDZ8Glac+6neW5JXhchlOHxTkdihxFWnIsz9+YztWThxLpcfG7N7+gcE+102GJiIgEPSWJRESk3d5eW8RN/87ixIG9eW5OOueM6d/qjF/SurTkWB7/VhpxPSN4cNEmp8ORFlbklpKaFEOvyHaPxhcHpSXH8v++Pp75N6RTWlnHlU+uYHtZldNhiYiIBDUliUREpF1eX1PIrc9/zoQhffnXnNNU2Pc49Yz0cPPZI/hocwmfbilzOhxpUlnbwJqCCqaO6Od0KHKM0pJj+fec06ioqueqJzPIL93vdEgiIiJBS0kiERFpXfYCeGgc3NuX/X84gaULHiEtOZZ/Xj+ZPlFKEHXEt9KTSegdyZ/e24i11ulwBPhsSxmNPstU1SMKShOG9OX5G9Opqmtg9hMrKP7k2YOfXzw0zv95JiIiIkelJJGIiBwuewEsvB0qtgOWntVF/CHiGf51ar6G4gRAdISbW6eN5NMtZXySU+p0OAKsyCslwu3iFA2dDFonDYrhhRuncF79B/RZ9OODn19UbPd/nilRJCIiclRKEomIyOGW3Af1hxaBjbS1RH7wO4cCCj1XTR7CoJgoHlik3kTdwfLcEk5J7kuU1+10KNIBYwb05t6eLxNN7aEr6qv9n2siIiJyREoSiYjI4SoKjm25HLNIj5tbzx3F59v28P7G3U6HE9b2VNWxvnCv6hGFCG9lYesr9PklIiJyVEoSiYjIYWxMUusr2loux+Wbk5IYGtdDvYkclpFXhrWoHlGoaONzqtTTnw1Fe7s4GBERkeCiJJGIiBxmxbBbqLIRhy70RsP0uc4EFKK8bhe3Tx/Fuh17eXd9sdPhhK2MvFKivW5Sk/o6HYoEwvS5/s+rZupdUfyhfjYXPvwRNzybSXbBHmdiExER6eaUJBIRkUNUVNdz67qRPBVzBzZmCGAgZgjMmgeps50OL+RcNnEQKQk9eWjRJnw+9SZywpINxSTGRLF2R4XToUggpM72f141+/zyXvYIv/zZPdx53mg+3VLG1x79hMse+4RfvrqWrPxypyMWERHpNkx37t4+adIkm5mZ6XQYIiJh5TcL1/PP5VtZeNsZnDQoxulwwsLrawq5/fnPmXf1yXxtwiCnwwkrjy7dzJ/e24QBIr0u5s9JJ00znIW0fTX1/N/bXzJ/5TYAItwunr9Rf3cREQkvxpgsa+2klsvVk0hERA7aVLyPZ1fkc/XkoUoQdaFLxg9kTGJv/rx4Ew2NPqfDCRuvrd7BA+9tAsAC9Q0+MvJKnQ1KOl3vKC+D+kbjMv77dY0+MvJKnA1KRESkm1CSSEREALDWcu/r6+kV6eHumWOcDiesuFyGO2eMJm/3fv67uo2ZmSSgXsrczo9eXM1Jg/oQ5XHhNuD1uEhPUfHqcJCeEk+Ex0VTngiPS6fEIiIiAB6nAxARke7hnXU7WZ5byn2XnkRcz4ijP0AC6vyTEhk3uA9/fOdLiiqqmTqin4a/dJLnVm7jF6+u5cxR/Xjy25P4omgvGXmlpKfE6zUPE2nJscyfk87y3BLmZ+Tz39WF3HBmCq4D3YtERETClH42ERERqusa+d2bGzhhQG+umTzU6XDCkjGGr00YRPG+Wh54bxNXP5Whgrqd4NkVW/nFq2uZNiaBp66bRHSEm7TkWG6ZNlIJojCTlhzLbeeO4qcXnMCGor28s36n0yGJiIg4TkkiERHhiQ9z2bGnmntmnYTHrX8NTqlv9B0c/lLX4OPOF1ezIreU7jzJRDB5+qM85r62nhljE3n822lEed1OhyTdwKUTBzMioScPLtpEo2YYFBGRMKdvAiIiYa6gvIq/vp/LxakDmTJC9ViclJ7Sj0ivvz6Ox2XYW1PP1U9lMPuJFXywaTc2ewE8NA7u7eu/zl4Q+CC6oo2uaqdZG3v/3xiy336Ki8cP5C/XnkKkRwki8XM31QTL2VXJwjWqCRb0uuozTEQkRJnu/OvkpEmTbGZmptNhiIiEtJv/ncWyjbtYevc5DOob7XQ4YS8rv/xgfZyTBvXhxc+28/gHuZy6bzH3RzxDFLVfbeyNhlnzIHV2m/tobQhVm+uzF8DC26G+uvPaOIZ2jtbGsT6XOhOJ+9JHcE+8stV9Sfjy+SwXzfuImvpGFt91tnpUBqtj+AwTEQl3xpgsa+2kw5YrSSQiEr4+ySnh2qdXcveM0dw2fZTT4Ugb6hp81P9pLD1rig5bV0g/ZrkfP3i/vtHH3pqGg/f7RHnwNvvCe6T1CxtvYhCHTwUeyDba287R9nG8z4WYIXDnusOXS9h7b/1ObvxXFvd/I5XZpw5xOhw5Hg+Ng4rthy/XcS8icpi2kkSa3UxEJEx9uqWUO174nP69I7jhrBSnw5EjiPC4iKhpvajuQEq5cPyAg/fX7ahg9fYKAAyQktCTcYNj2rV+4OrSTm+jve0cbR/H+1yoKGh9uYS9GWMTSU2K4eElm7ns5MFEeNSbKJhYa6GigNbmp7NtLBcRkcMpSSQiEoay8su59umV1DdavG7D+sK9mtmpu4tJavUXchOTxO8uG3/wvv9vm0F9gw+vx8WvLznpkL/tEddv6YI22tnOUfdxnM+FmKTDl4ngn2Hwrhmj+e7fP2NB5na+lZ7sdEjSTntr6vnlq+v4mS+eJNfhPQh3+OL52dMZ3HbuKNJTVHtPRORIOjzczBgzBnix2aIUYK619s/NtjkHeA3Y0rToFWvtfUfbt4abiYh0jseW5fDHdzcC4DZw18wx3DJtpMNRyRF1Rb2gEK9JpNokcjTWWq54fAU7yqt5/yfnaAa8ILB6+x5ue34VhXtq+GtqLjNyf49pdtxbTzTLRv+Kn246gZLKWiYPi+P8cYnU1DeSntJPP5CISNjqkppExhg3sAM4zVqb32z5OcCPrbWXHMv+lCQSEekcWfnlXPH4cqyFKK+L+XPSdaIcDLIXwJL7/EOmYpJg+tzAJzy6oo2uaqernouElOW5JVzz1ErmXjKW688Y7nQ40gafz/LkR3n86d2NJPaJYt7VE0lLjmvzuK+pb+TFz7Yzb8lmSvfXAfr/JyLhrauSRDOBe6y1p7dYfg5KEomIdBvWWk66511GJ/ZqdRiPiEg4u/rJDDbv2seHP51GjwhVZ+hOsvLLWbKhmE9ySlhTUMGF4wbwf19PJaaHt12Pn7dkEw8t2ozFX8vsx+erJ62IhKe2kkSBrsh3FfB8G+umGGPWGGPeNsacFOB2RUTkGJRX1VNV18glqYOUIBIRaeHumaMpqazj2RX5R99YukxWfjnXPJXBX97PZU1BBT84K4W/XHtKuxNEAKePTCDS6/8KZIGTh/TtnGBFRIJUwJJExpgI4GvAS62sXgUkW2snAI8A/z3Cfm40xmQaYzJ3794dqPBERKSZLSWVgH82KBEROdSkYXGcPTqBx5Zu5qFFG8nKL3c6JAEy8kqpbfAB4DLQJ9qLMcc2b1lacizz56Rz9eShAKwv3BvwOEVEglkgexJdCKyy1ha3XGGt3WutrWy6/RbgNcb0a20n1tonrbWTrLWTEhISAhieiIgcsKWkCoBh8UoSiYi05qLxA9hX28jDS3K45qkMJYq6gcnD4w7ejvC4jnumsrTkWP7f18dz5qh+/PWDXPbXNgQqRBGRoBfIJNHVtDHUzBgzwDSl+Y0xk5vaLQ1g2yIicgy2lFTidhmGxPVwOhQRkW6ppLLu4O3aBh9/fPdLyvbXHeER0tnqG/29iGZNGBiQgtN3zxxD2f46/rF8awCiExEJDQFJEhljegAzgFeaLbvJGHNT090rgHXGmDXAPOAqG8iK2SIicky2llQxJDYarzvQpelEREJDeko8UV4XLuMf2pSRV8YZf1jK/761gV37avyzaD00Du7t67/OXuB0yCHvjewiekS4+cM3UgNST2/ikL6cd2J/nvggl4rq+gBEKBJE9BkmbQjIdA3W2iogvsWyx5vdfhR4NBBtiYhIx+WV7Gd4Pw01ExFpy4HaNRl5paSnxNMnysNjy3J4+qM8Slf8m//neYoIW+vfuGI7LLzdfzt1tnNBh7D6Rh9vry1i+omJAZ1x7s4Zo7l43sc88/EW7poxOmD7FenWshf4P7Pqq/339RkmzegnZBGRMGOtZWvJfoYpSSQickRpybHcMm0kacmxjErszZ+vOpkld5/Dr6Je+ipBdEB9NSy5z5lAw8AnOSWUV9UzK3VgQPd70qAYLhw3gL99vIVyDSeUMOFb/JuvEkQH6DNMmihJJCISZor31lJd30iKkkQiIsdseL+exNbvan1lRUHXBhNG3sguoneUh7PHBH5imztnjGZ/XQNPfpQX8H2LOCUrv5zHluWQlV/Onqo6Fn1RzO/f/IKvPfpx259V+gwTAjTcTEREgkdeSSWAehKJiByvmCT/8IwW9kYm0stncbmObVp2ObLahkbeXb+TmWMHEOlxB3z/oxN787UJg/jHJ1u5/vThJPSODHgbIl0pK7+ca57KoLbBhwEOFAOO8LiYOKQv+6IGEFO787DHNfYeTOCPMAk26kkkIhJmtpZUAagmkYjI8Zo+F7zRhyyqNZH8at/Xue5vn7Jrb41DgYWmDzeVsK+mgVkTAjvUrLk7po+itqGRxz/I7bQ2RLrK22uLqG3wzwZogTNG9uPFG9PJvmcmC34whZiLf3vYZ1i1jWBu5df5YNNuByKW7kRJIhGRMLOlpJIIj4tBMdFH31hERA6XOhtmzYOYIYCBmCFEXP4oUy+7mcz8Mi58+CPe39jGkDQ5ZgvXFBLbw8vpI/t1WhspCb34xilJ/Csjn50VSvJJ8NpcvI//rPIPG3MZiPK6uHPGaE5LiSfK29RPqJXPsD3nPUBmnxl852+f8r9vbaCuKckk4UfDzUREwsyWkiqGxffQcAgRkY5InX3ILEAGuAp/setbn/uc7/79M244czjnnZhIZn456SnxAZm2PdxU1zWyeEMxl04cjNfdub9v3z59FK9+voPHluXw28vGdWpbIp3hy517ufaplXjdLh6+ciIFe6rb/uxp8Rk2EHgtvZHfvvEFT36Yx8q8Um48K4WtpVX6/AozShKJiISZLSWVjOzfy+kwRERC0qjE3rx26+n8/s0NPPXRFp7+eAsGfy2Q+XPS9UXrGC39chdVdY2dOtTsgCFxPbjy1CG88Nk2fnB2CkmxPTq9TZFAWbejgm8/s5JIj5vnbjiNlIRjP9eL8rr5/eXjOWNkP+5+aQ23PPc5Boj06vMrnGi4mYhIGGn0WbaVValotYhIJ4ryuvntZeO4bOIgrAWfhfoGHxl5pU6HFnQWrikkoXckpw2P75L2bj13JMYY7nlt/cGZoUS6u9Xb93DNUxn0iPDw4g/SjytB1NyF4wfy7SnJgL+mkT6/wouSRCIiYWRHeTX1jZYUJYlERDrdt6cMw900tNfrdpGe0jWJjlCxr6aeZRt3cfH4gQdfx842MCaa807sz5Ivd/HAexu59ukMJYqkW8vKL+NbT68kpoeXF3+QTnJ8YM7xZo4dQITHny5wuYw+v8KIkkQiImFkS+l+AIYF6ARCRETalpYcy++aatvMOStFQzWO0eINxdQ2+LpkqFlzB/5H+izU1vtYvKG4S9sXaY+s/HJ+/nI21zy1koTekSz4wZSADpFMS47l+Tmn0beHlxMG9NbnVxhRkkhEJIxs2V0JwPAEJYlERLrCVacOYXDfaNbtqHA6lKCzcE0Rg2KiOHlI1345nX5iIpFNPSgs8NSHefzqv2spKK/q0jhE2vLpllKuenIFL3y2nboGH7+86EQGdsKstWnD4vh2ejLrC/eye19twPcv3ZMKV4uIhJGtpVX0jHCT0CvS6VBERMKCMYZLJgzkmY+2UL6/jtieEU6HFBT2VNXx0ebdfO/04V0+G2dacizP3ZBORl4pKf168uHmEl78bDsvfLqdr58ymJ8MzCbh0z9ARQHEJMH0uYfMEiXSIdkLYMl9h7y/asd+g7UFFazcUsbKLWWsyC2hvtEC/mnuNxbv47yxiZ0SziWpg3hkaQ5vryviuinDOqUN6V6UJBIRCSN5JfsZntATY7r2hFtEJJzNSh3EEx/k8c76nVw9eajT4QSFd9fvpL7Rcklq1w41OyAtOfbg8JoLxw/ktnNH8sQHuezLfJ6ea58EU+ffsGI7LLzdf1uJIumo7AX+91N9tf9+xXZqX72VX7y0hpfrpwIwOrEX557Qn6Vf7sLns3g9nVvvbMyA3oxO7MXCNYVKEoUJJYlERMLI1pL9pCbFOB2GiEhYOWlQH1L69WThmkIlidrpjewikuN7MH5w9/ifNahvNL+5dByNOf/Fva/u0JX11f6eH0oSSUctue+rBFGTSFvLr6P/w4wrb2Py8DjimnojZuWXk5FXSnpKfKfXC5qVOogHFm2iqKK6U4a1SfeimkQiImGitqGRgvIqzWwmItLFjDFckjqQjLxSdu2rcTqcbq+kspZPckqYlTqo2/V8de/b0epyW1HQxZFISGrjfdS3rpgLxg04mCACf2+3W6aN7JKC0pdMGATAm9lFnd6WOE9JIhGRMLG9rAqfhWFKEomIdLlZEwbhs/D22p1Oh9Ltvb22CJ+FS7p4VrN2iUlqdfFO4lmeU9LFwUio8fUZ3PqKNt53XWV4v56MG9yHhUoShQUliUREwsSWEv+sLMOVJBIR6XKjEnszJrE3C9cUOh1Kt7cwu4hR/XsxJrG306Ecbvpc8B463MbnieZvkddx7TMr+eO7X1Lf6HMoOAl2r/ebQ5VtUdzeG+1/3znsktRBrNm+h22lmuUv1ClJJCISJraUVAJKEomIOGXWhIFk5pdTuKf66BuHqZ0VNXy2tYxLuuFQM8Bfd2jWPIgZAhiIGYLra/O48+5fMjttCI8ty+XKJ1awvUxfpOXYfLqljDs3jOb1oT8/5P3FrHndot7VxeP9PfsWZivRHepUuFpEJExsKakitoeXvj00/bKIiBMuSR3En97bxJvZRdxwVorT4XRLT3yYi7UwPKGH06G0LXX2YV/aewB/uCKVM0b14xevrOWieR9x45kpuFymSwoLS3DbX9vAj19aw5DYHsz61h0QebfTIR1mSFwPThnalzeyi7hl2kinw5FOpJ5EIiJhYktJpXoRiYg4aFi/nowfHMMb+iW+Vf/J2s4/PtkKwE//k01WfrmzAR2HWRMG8ebtZzKgTxQPLNrEn97dyLVPZwTlc5Gu8/u3NrC9vIo/fXMCPSO7bz+OS1IHsaFoLzm7Kp0ORTqRkkQiImFia0mVilaLiDhs1oSBrCmoIL90v9OhdBvWWv7+yRZ+9p+12KZl9Q0+MvJKHY3reA2N78HXJvpng7IE93ORzvf+xl08t3IbN5yZwuThcU6Hc0QXpw7EGJToDnFKEomIhIGqugZ27q0hRUkiERFHXZzqTx68oVmCACjbX8cNz2bym4VfcPLQvkR6XLgNeD0u0lPinQ7vuE0d0Q+Py19TyeMO7ucinWdPVR0/ezmb0Ym9uGvGaKfDOarEPlFMHhbHwjWFWGuP/gAJSgFJEhljthpj1hpjVhtjMltZb4wx84wxOcaYbGPMKYFoV0RE2mdr08xm6kkkIuKswX2jSUuO1SxnwIrcUi58+EM+3FTCPbPG8tJNU3juhnTumjmG+XPSg7qOT1pyLPdfkQrAd6YOC+rnIp1n7mvrKa2s48HZE4nyup0Op11mTRhE7u79bCja53Qo0kkC2ZNomrV2orV2UivrLgRGNV1uBP4awHZFROQotpT4hzWoJpGIiPNmpQ7ky537yNkVRl+yshfAQ+Pg3r7Yh07izfkPc83TGfSM8PDKD6fyvdOHY4whLTmWW6aNDImkyuUnD2ZEQk/WbN/jdCjSDb2ZXcTrawq5ffooxg2OcTqcdrtw3ADcLqMhZyGsq4abXQo8a/0ygL7GmIFd1LaISNjb2lT7Yli8kkQiIk67aLy/rsfCNWEy5Cx7ASy8HSq2AxZTUcC0Tb/jdykbWHjbGUH1BflYGGOYNWEQn24to3hvjdPhSDeyeEMxd7+0mpEJPfnhOSOcDueYxPeKZOqIeBZma8hZqApUksgC7xljsowxN7ayfjCwvdn9gqZlIiLSBfJ27yexT2S3njFDRCRc9O8TRfrw8PiSZa2l/r17ob76kOU9TB3XVv4j5P8vXZI6CGv9vUZEALLyy7nx2Uxq6n1sL69mTUGF0yEds1kTBrG9rJrsIIxdji5QSaLTrbWn4B9Wdosx5qwW600rj2n1P6Ix5kZjTKYxJnP37t0BCk9EJLxtLd2vXkQiIt3IJRMGkhdidT2y8st5dOlmXllVwLMrtnLLc6uY/L9LcO/b0foDKgq6NkAHjOzfixMH9mGhhuZIk4y8EnxN34QbGoNz5rvzxw7A6zaqrRaiApIkstYWNl3vAl4FJrfYpAAY0ux+EtDqO8pa+6S1dpK1dlJCQkIgwhMRCXtbSvaTkqAkkYhId3HhuIG4XSZkkgdZW8u48okV/Om9Tdy1YA1zX1vPqvxyTh8RT3V0G1UmYpK6NkiHzJowkM+37WF7WZXToUg3MCaxD+DvRRGss/jF9PBy9ugE3sguwucL7d6Q4ajDSSJjTE9jTO8Dt4GZwLoWm70OXNc0y1k6UGGtVZ9LEZEuUFFVT9n+OvUkEhHpRuJ6RnDGyH68EQJDznw+y2/e+IKGpi+LBrjxrBSW//xc/nzVyfS86D7wRh/6IG80TJ/b9cE64JLxgwB4c62+/ghEev1fwWefOiSoZ/GbNWEQO/fWkLWt3OlQJMAC0ZMoEfjYGLMG+BR401r7jjHmJmPMTU3bvAXkATnAU8APA9CuiIi0w5ZSzWwmItIdXZI6kO1lwVmT5IBGn+WnL2eTXVCBx2VwG/+X4PNPGoAxTRUnUmfDrHkQMwQw/utZ8/zLw8DQ+B5MGNJXs0EJABt3+oeY/vT8MUGbIAKYfmIikR6XhpyFoA5XirPW5gETWln+eLPbFrilo22JiMix21JSCaDhZiIi3czMkwbwP6+s5XdvfMH/XHRi0H1hbGj0cfdLa3htdSF3njeaM0bGk7GljPSU+MOfS+rssEkKtWZW6kB+9+YG8nZXkpLQy+lwxEGbivfRr1cE8b0inQ6lQ3pFeph+Yn9eW72DhN6RTB3RL+g+w6R1gSpcLSIi3dSWkipcBobE9XA6FBERaSZnVyU+a8nML+eapzLIyg+eYRv1jT7ueGE1r60u5Cfnj+GO80aRNiyOW6aN1BfFVlyc6q/L9IZmOQt7m4orGZ3Y2+kwAmLswD5UVDfw4HubuPbp4PoMk7YpSSQiEuK2lOxncGw0kR6306GIiEgzzWc1qm3wseCzbQ5G0361DY38cP4q3lxbxK8uPpFbpo10OqRub2BMNJOHxWnIWZjz+Sybi/eFTJKosakOmQVq630szy1xNiAJCCWJRERC3NaS/SpaLSLSDaWnxBPhceEy/mLPL2YW8Md3v6Sh0ed0aG2qqW/kpn9lseiLYn7ztZOYc2aK0yEFjUsmDGRTceXBmjQSfnbsqWZ/XSNjBoRGkuiMUQlEefwpBYu/p1xBuWbxC3ZKEomIhDBrLVtK9pOiotUiIt1OWnIs8+ekc/fMMcyfcxqzJyXx2LJcrnwyo1t+0VqeU8IFf/6QZRt387+Xj+c7U4c5HVJQuXDcQFwGFfoNY5uK/QnC0YmhUZcqLTmW+Tek85Pzx/Cj80axo7yaix7+iLc1k19Q63DhahER6b5KKuuorG1gmJJEIiLdUlpy7MEaPlNH9uP0kf345avruOjhj/jDN1K50H4ES+6DigKISfJPGx/oAtDZC47YRtn+Ol74dBt/em8jPgtetwmZnhBd6UBx3zeyC7l75uivZn+TsLGxKUk0KkSGm8Ghn2GXnzyY25//nJvnr+Ka04Zy77D1RLz/u879/JKAU5JIRCSEbSnZD8BwJYlERILCpRMHc/KQWG574XPefn4e0yOfIcLW+ldWbIeFt/tvN/uilZVfTkZeaeuzih1tm+wF/n3WVx9sw/f67Xy+rZxXG6ayMq+MzbsqD9mXz2fJyCtVgerjcEnqQH7+ylrW7djL+KQYp8ORLra5uJJBMVH0ifI6HUqnSI7vyUs3TeWB9zZS9PGz+NY8Axz580u6HyWJRERC2FYliUREgs7Q+B689IMpVN9/PRF1tYeurK9m75u/5m+7JgJQuKeaV1btoNFncbsMXz9lMIP6Rh/ykCNtc/1nv6bPgQRRE1dDNYmf3s+rPMakYXFcdvJg+kZ7+e2bX1Df4MPrcZGeEt9pzz+UXTBuAL/67zreyC5UkigMbdy5j9Eh3gsvwuPify46kZp1/yWq6vDPL5bcpyRRN6ckkYhICMsr2Y/XbRjc4guDiIh0bxEeFxF1xa2u61VTzJ8Xbz5seYPPsiCz4Ij7bbnN7ZE7/VWzWxjsKmXNr2ficX9VwvSEgX2O2mNJjqxvjwjOHNWPN7KL+NkFJ+ByachZuGho9JGzu5IzR/VzOpQuEVXVel0iW1HQ2keOdCNKEomIhLCtJfsZEtfjkJN8EREJEjFJ/iEaLZi+SWz50UUArMov59pnVh7s4TP/+6dxSosEzhG3+fOQ1tuISTrsf0fz2iNy/GZNGMRdC9bw+fZy0pLjnA5Hukh+WRV1Db6Qqkd0RG18fu0knjc+zOPa9KH0iFA6ojvStwYRkRCmmc1ERILY9LngbdET1BuNmT4XYwzGGNKGxTF/Tjp3zRzD/DnppA2LO7iuXdu00QbT53bd8wwzM8YmEuFxsXCNZoAKJ5ubilaPCZckUSufLY3uaF6J/T6/f2sDZ/xhGY8ty2FfTT1Z+eU8tiyHrPxyh4KV5pS6ExEJUT6fZWvp/rDp1iwiEnIO1O04yuxm7enh0+Y27WxDAqd3lJdpYxJ4c20Rv75kLG4NOQsLG3dWYgyM7N/L6VC6RiufLe7pc7kldTbp+eU8unQzf3x3I48ty6GuwYfPWiI8Ln8iWz0WHaUkkYhIiCraW0Ntg4/hCepJJCIStFJnd37CpivakEPMmjCId9cX84tX1zJ70hB9KQ4Dm4r3kRzXg+gIt9OhdJ02PlvSkmP5+/cms7aggjsXrCanaQbF+gafZk7sBjTcTEQkRG3ZrZnNREREuqO4HhEAvPjZdq59OkPDbMLAxuJ9jA6XoWbtND4phj98I5UDnek8bs2c2B0oSSQiEqK2lCpJJCIi0h19vn3Pwdu19T5W5JY4F4x0utqGRraU7FeSqBVpybH88YoJAHxtwkD1IuoGlCQSEQlRW3bvJ9rrJrF3lNOhiIiISDPpKfFEefxfxSzw1toiiiqqnQ1KOs2Wkv00+iyjByhJ1JpvpCVx8fiBvLV2J2X765wOJ+wpSSQiEqK2lu4nOb4HLhXEFBER6VbSkmOZf0M6Pzl/NLeeO5KtpVVc+PBHLPqi2OnQpBNs3BlmM5sdhx+dN4qq+kae+DDX6VDCnpJEIiIhakPRXnzWqs6BiIhIN5SWHMst00bx45ljeOO2MxjcN5obns3k3tfXU1Pf6HR4EkCbivfhcRmVADiCUYm9uWziYP65fCu79tU4HU5YU5JIpDNkL4CHxsG9ff3X2QucjkjCzNtriyiqqGFzcaUKYoqIiHRzKQm9eOWHU/ne6cP4x/KtfP0vyyn+5FmdT4aIjTsrGd6vJxEeff0+kjumj6K+0fLX99WbyEl6l4oEWvYCWHg7VGwHrP964e36xy5d6qHFmwB/nYMD04mKiIhI9xXpcXPPrJN45juTmFD+Hn3eu1vnkyFiU/E+1SNqh2H9evKNUwYzf+U21ehykJJEIgHmW/wbqG/xoVZfDUvucyYgCTuf5JSwqbgSj8vgNuD1aDpRERGRYDH9xER+2/sVok2LAr46nwxKVXUNbC+vUj2idrrt3FFYa3lsWY7ToYQtJYlEAqSytsHfNXLvjlbX24oCduxRRlw6V32jj3tfX8+QuGj+9f3J3DVzDPPnpGs6URERkSDi2df2+aTPZ7s4GumInF2VWAujlSRqlyFxPbjy1CG8+Nl2tpdVOR1OWFKSSKSDKqrreXjxZk7/v6X84Z0vKXMntLpdoY3nnD8u4+cvZ5Nfur+Lo5Rw8a8V+WzeVcmvLx7LlBH9uGXaSCWIREREgk1MUquLd/jiufDhj1i4ppBGJYuCwsGZzTTcrN1unTYKYwyPLN3sdChhydPRHRhjhgDPAgMAH/CktfbhFtucA7wGbGla9Iq1Vn0lJagt27iLJz7IJXt7BVX1jZx3YiK3njuSfuW/948Zbz7kzBtN9PTfcHXxUF74bDsvZRVw6YRBnDMmge3l1aSnxOuLvHRYSWUtDy3exFmjE5gxNtHpcEREROR4TZ972Pmk9UZTNP6nNOZYbnv+cx5avImLxw8kwuNi6oh+OpfspjYV7yPS42JoXA+nQwkaA2Ki+NZpyfxzxVZuPmekZoXrYh1OEgENwN3W2lXGmN5AljFmkbX2ixbbfWStvSQA7Yk4bvEXxcx5NhMAl4E/fTOVK9KG+FcOme2/XnIfVBT4fwmaPpe41NncB9w6bSRPfpjHsyvyeeXzHbgMRHhcGhIkHfandzdSXdfI3EvGYoxxOhwRERE5XqmHn0+a6XM5NXU27/ksb6/byf3vfMkjS/11Wx7z5uhcspvaWFzJyP69cLt0bnYsbj5nBM9/uo2HF2/iz1ed7HQ4YaXDSSJrbRFQ1HR7nzFmAzAYaJkkEgkZf3n/q0JqBijeW3voBqmzv/rn3kL/PlH86pKxRHpdPLYsF5/9avYp/WOX45VdsIcXM7cz54zhjOzfy+lwREREpKPaOJ90uQwXpw5ka2klf3p3Exao07lkt7W5eB9TNIHIMUvoHcl3pg7jiQ9zuWXaSEapplOXCWhNImPMMOBkYGUrq6cYY9YYY942xpwUyHZFutKOPdVkF1Tg7uDMUeeekIjX7f9FweUymn1KjpvPZ7n39fXE94zk9umjnA5HREREukB6Sj8ivf6vcxZIHx7nbEBymIrqeooqahitekTH5QdnpdAzwsNDizc5HUpYCViSyBjTC3gZ+JG1dm+L1auAZGvtBOAR4L9H2M+NxphMY0zm7t27AxWeSMA8unQzLmP4y7WndGjmqLTkWJ67IZ24nhEk9oli4pC+gQ9WwsJ/V+9g1bY9/OyCMfSO8jodjoiIiHSBtORY5s9J5/yTErEWKmrqnQ5JWthc3FS0Wr1gjktszwiuP30Yb63dyT2vrSMrv9zpkMJCQJJExhgv/gTRfGvtKy3XW2v3Wmsrm26/BXiNMf1a25e19klr7SRr7aSEhNZniRJxSn7pfl7KLOCa04Zy/kkDOjxz1KnD4vjtpeMoKK/mjezCAEYq4WJfTT3/7+0vmTCkL984pfWZUERERCQ0pSXH8ug1pzA0rgcPvLcJazXjWXeysSlJNCpRpQCO16Rh/h5y/1yRz9VPZpC1tczhiEJfh5NExl8d9Rlgg7X2wTa2GdC0HcaYyU3tlna0bZGu9vCSzbhdhh+eMyJg+7xw3ABOGNCbPy/eTEOjL2D7lfDw6NIcdu+r5TdfOwmXCiKKiIiEHa/bxR3TR7G+cC/vrt/pdDjSzObiSnpGuBncN9rpUILW2h0VHDjDrWv0ccvzn7P4i2IlRDtRIHoSnQ58GzjXGLO66XKRMeYmY8xNTdtcAawzxqwB5gFXWf1VJcjk7Krkv5/v4LopyfTvExWw/bpchrtmjGZLyX5e+XxHwPYrISx7ATw0DntvX65beQn/O2KDhiuKiIiEsctOHkxKQk8eXLSJRp++ZnUXG3fuY/SA3pp1tgPSU+KJ9Lr8tWDdhkafjznPZnLxvI95e20RvjX+82Lu7eu/zl7gdMhBLxCzm30MHPFdb619FHi0o22JOOnhJZuJ8rq56ezA9SI6YMbYRFKTYpi3ZDOXTRxMhCegNeUllGQvgIW3Q301BhhsSri6+E+QPbTNGfVEREQktLldhjvPG81tz3/OG9mFXDpxsNMhCbCpeB8zxiY6HUZQO1B7KyOvlPSUeFKTYnhtdSF/WZbD28/PY1rEM0TRNNN0xXb/eTLovLgD9E1UpB2+3LmXhWsK+d7pw4jvFRnw/Rvj701UUF7NgsztAd+/hJAl90F99SGLTEO1f7mIiIiErYvHD+SEAb15WCUMuoWSylpK99cxWkWrOywtOfZgLViv28UVaUksuuts/i/mv18liA6or6Zx8W+cCTREKEkk0g4PLdpE70gPN5yZ0mltnD06wV98cGkONfWNndaOBLmKgmNbLiIiImHB5TL86LzR5JXs51WVMHDcpp3+otVKEnUOt8vQo7qo1XWmYgczHvyAX766ltfXFFK8t4as/HIeW5ajGdLaocPDzURC3dqCCt5dX8yd542mb4+ITmvHGMPdM0dzzVMreW7lNq4/Y3intSXBa3/0AHq29g8xRjObiYiIhLvzT0pk3OA+zFu6mUtVwsBRm5pmNhs9QDObdZqYJP8QsxYqoxIZHBvNa6sLmb9yG/BVfZxIr4v5c9I7NEN1qNOnhshRPLhoI317eLn+jGGd3tbUEf2YkhLPX97PpbpOvYnkUC9+to1f7L2cWtNiyKM3GqbPdSYoERER6TaMMdw9Ywzby6p5KUslDJy0sbiS2B5eEjqhVIU0mT7Xfx7cnDeaPhf/ln98bzKr585g4a1nMG1MAhawQG29j4y8EieiDRpKEokcQVZ+Ocs27uYHZ42gd5S3S9q8e+ZoSipreXbF1i5pT4LDv1Zs5Wcvr2XPiMsxX5sHMUMA47+eNU/F+URERASAc8YkcMrQviph4LBNxfsYnaiZzTpV6mz/eXAb58Uet4vxSTHceu4oorwuDP5E0ebi/Wiy9bZpuJnIETy4aCP9ekXwnanJXdbmpGFxnD06gcc/yOXa9GR6ReowDXfPfLyF377xBeedmMhj155MhGcynHyV02GJiIhIN+QvYTCGa59eyQufbuO7p6uEQVez1rJp5z4uO1mzzHW61NlH/bH0wAxpK3JLyC6o4L+rdxDfK4JfXXyiknitUE8ikTZk5JXySU4pN509gh4RXZuouWvGaMqr6vn7x1u6tF3pfh7/IJffvvEFF44bwF+uPYVIj9vpkERERKSbmzointOGx/HoMpUwcEJRRQ37ahsYPUBFq7uLtORYbj13FE98O43vTh3GMx9v4Z7X1+PzqUdRS0oSibQia2sZP16whtgeXr6V3nW9iA6YMKQvM8Ym8tcPcnnwvY2qwh+GsvLL+dbTK/m/t79k1oRBPHL1ySo+KSIiIu1yoDdRSWUtN/87S+eSXexA0eoxmtms2zHGcM+ssfzgrBSeXZHPL15dq0RRC/rGIdJC1tYyrnoqg4I91eyraWB94V5H4rhw3ACq6hqZtzSHa5/O0D/3MJKVX86VT6zg45wS3MZw3ZRkPG59XIuIiEj7uV0Gl4H3N+3mmqd0LtmVDs5slqiZzbojYww/v/AEbp02khc+285P/pNNoxJFB+lbh0gTn8/yzrqd/PC5VdQ3+j8krLVk5JU6Ek9RRc3B2zX1Ph5blqPuwmHi4827aTj4j8ry6ZYyR+MRERGR4NP8HLa2wccvX13Lxp37HIwofGzcWUlin0j69ohwOhRpgzGGH58/hrtmjOblVQV852+f8sjSzUqmosLVEo6yF8CS+6CiAGKS8J07lzc5g0eX5rCxeB8D+kTidRt8PovX4yI9Jd6RMNNT4onyuqhr8AGw9MtdnHn/Um44M4VvpSfTc+MrhzwPps/VDFchIibaP5Oey+Doe1BERESCV3pKPBEeF/UNPjCGrSX7Of/PH3L+SYncdu4oxg2OOey8WOeTgXFgZjPp/m6fPopde2v598p8Ps4p4RF3Dv+8/lSmjOh36IZhdKwoSSThJXsBLLwd6qv99yu2U/fqrSyq+z6N/S7gz1dO5JLUgawpqCAjr5T0lHjSkmMdCfVAFf4DcTQ0+nh0WQ7/7+0v2brsH9znehKvr+bg82Dh7f7bIfphFU52V9biMnDbuaM4a3SCY+9BERERCV4tzyVHJPTkb59s5e+fbOHd9cX8T9Ja5pT/GXfjV+fFOp/suMytZWwo2ssF4wY4HYq008C+URjAAnWNPr719KekJccyeXic/1K5hKi3f3TId8hQPlaMtd137N2kSZNsZmam02FIKHlonP+gbqEqehBRP/kCl6v7T4H4+bZyhvxzMv0adx2+MmYI3Lmu64OSgLr8L59ggFd+eLrToYiIiEiI2VtTz79W5HP5B+cziJLDN9D55HHLyi/nmqcyqG3w4XUbXrhxin7sCwJZ+eVc+3QG9Q0+XC7DReMHsrW0inU7Kmj0WT6JvJ3BJvSOFWNMlrV2Usvl6kkkYcVWFNBaGqhHdZF/bE8QOHloLDTubnVdW89PgkdlbQPZBRXcdHaK06GIiIhICOoT5eWWaSOxH7Red1Pnk8cvI6/0YKmIRp+/tqmSRN1fy153B/5mlbUNrMovZ9BzbdSorSjowii7jgpXS9hYkVvKTtqo7RKT1LXBdFQb8RbaeH6zcD07mxW9luDy2ZYyGn2WqS3HQYuIiIgEkGnjfHK3K4ElG4rpziNOuqveUR4sYIAI1ZUMKmnJsdwybeQhSb1ekR7OGp3Q5rESdN8h20lJIgl5DY0+HnxvI9c8ncEzkdfh80QfuoE32l94LJhMn+uPuxmfJ5r3k27m2RX5nHX/Mn756loKyqvIyi/nsWU5qtQfJJbnlhDhdulXJxEREelcrZxPNrii+Iv7Gr7/z0wunvcxb68tInNrmc4l26GytoEnP8xjQJ9I7jhvFPPnpOt8LlS0cqwE5XfIdtJwMwlphXuqueOFz/lsaznfOCWJOy89H9fGE4O/Mv2BeJs9D9f0uVybOpuzyqr46we5LMjczgufbgMMFkuEx6V/VkFgeW4pJw/tS5TX7XQoIiIiEspaOZ/0TJ/LL0+6gpM+38Ff3s/l5vmrDg49i/TqXPJIfvfGFxTuqealm6aQlhzndDgSSK0cK0H5HbKdVLhaQk5WfjkZeaUY4IkP82ho9PH7y8dz2cmDnQ6tSxVVVHPL/FWs2rYHALeBu2aO4ZZpI50NTNq0p6qOk3+7iB9NH80d541yOhwREREJY40+yx0vfM4b2UWAv3zn3TqXbNXSL4u5/h+Z3HT2CH5+4QlOhyPSLipcLWHhQGX6mnp/wbgRCT155junMqxfT4cj63oDY6L55cVjuerJFdQ3Wlwuo3HR3VxGXhnWwtSR+juJiIiIs9wuw/dOH87iDcXU1PuwQPpw9ZBpqXx/HT97eS0nDOjNnTP0I58EP9UkkpCSkVdKbVOCyACXThwclgmiA9KSY3nuhnTiekaQ2CeKiUP6Oh2SHMGK3BKivW4mJPV1OhQRERGRg7M+nX9SItZCRU290yF1O79+bR17qup4YPYEIj0qFyDBT0kiCSnNf92I9Lo4faRmiDp1WBy/vXQcBeXVvJFd6HQ4cgQr8kqZNCyWCI8+mkVERKR7SEuO5dFrTmFoXA8eeG+TZj1r5vU1hbyRXcSPzhvNSYNinA5HJCD0TURCSs+maSdnjE1UYb1mLhw3gBMG9ObPizfT0OhzOhxpxe59tWwqrmTqCCU2RUREpHvxul3cMX0U6wv38u76nU6H0y0U763h1/9dx8lD+/KDs1KcDkckYAKSJDLGXGCM2WiMyTHG/LyV9cYYM69pfbYx5pRAtCvS0sI1hbhdhv/7+ngliJpxuQx3zRjNlpL9vPL5DqfDkVasyCsFYMoI1SMSERGR7ueykweTktCTBxdtotEX3r2JrLX87OVsahsaeeCbE/C41fdCQkeH383GGDfwGHAhMBa42hgztsVmFwKjmi43An/taLsiLVlrWbimiKkj4onvFel0ON3OjLGJpCbFMG/JZuoa1Juou1mRW0rvSA/jBvVxOhQRERGRw7hdhjvPG82m4srwLWGQvQAeGge/ieV3W67miQl5pCT0cjoqkYAKRMpzMpBjrc2z1tYBLwCXttjmUuBZ65cB9DXGDAxA2yIHrd1RwbayKmZNGOR0KN2SMf7eRAXl1SzI3O50ONLCitwSTkuJ0y9RIiIi0m1dPH4gJwzozcPhWMIgewEsvB0qtmOwJLlKOGvjb/3LRUJIIL6NDAaaf+MsaFp2rNuIdMjCNYV43Ybzxw5wOpRu6+zRCUxKjuXRpTnU1Dc6HY402bGnmq2lVUxRPSIRERHpxlwuw50zRpNXsp9Xw6yEgW/xb6C++pBlpr4altznUEQinSMQSSLTyrKWg1Tbs41/Q2NuNMZkGmMyd+/e3eHgJDz4fJY3sos4e3QCMT28TofTbRljuGvmaHbureG5lducDkearMhtqkeUonpEIiIi0r3NHJvI+MExzFsaHiUMquoaePqjPNjbRlKsoqBrAxLpZIFIEhUAQ5rdTwJaDlJtzzYAWGuftNZOstZOSkhICEB4Eg5WbSunqKKGS1I11Oxopo7ox5SUeP7yfi7VdepN1B2syC0ltoeXEwb0djoUERERkSM6UMJge1k1L2WFbgmDfTX1PLYshzP+sIzfvbmBUncb301jkro2MJFOFogk0WfAKGPMcGNMBHAV8HqLbV4Hrmua5SwdqLDWFgWgbRHAP9Qs0uPivLGJTocSFO6eOZqSylqeXbHV6VDCnrWWFbklTBkRj8vVWqdLERERke7lnDEJnDK0b0iWMPhw426ueSqD9P9dwh/f3UhqUgwv3zyFhEt/D97oQzf2RsP0uc4EKtJJOpwkstY2ALcC7wIbgAXW2vXGmJuMMTc1bfYWkAfkAE8BP+xouyIHNPosb67dybkn9KdXpMfpcILCpGFxnD06gcc/yKWytsHpcMJafmkVhRU1GmomIiIiQcMYw90zx1BUUcPzn4ZOCYM3swu57u+fsjy3lOr6Ru7/xnj+8b3JpCXHQepsmDUPYoYAxn89a55/uUgICcg3amvtW/gTQc2XPd7stgVuCURbIi2tzCulpLJWs5odo7tnjuZrj37C3z/ewm3TRzkdTthakddUj0hFq0VERCSITB0RT3pKHI8ty+WqU4cSHeF2OqQOe2xZ7sHbBthdWXfoBqmzlRSSkKe5liXoLcwupGeEm2lj+jsdSlBJTerLjLGJPPlRHhVV9U6HE7aW55bSv3ckIxJ6Oh2KiIiISLsd6E1UUlnLvzK2Oh1Oh20u3scXRXtxuwxuA16Pi3T19JYwpCSRBLX6Rh9vr9vJeWMTQ+LXi65214zR7Ktp4KZ/Z5KVX+50OGHHX4+olCkj4jFG9YhEREQkuJw6LI4zR/XjkSWbeWjRpqA+n/zz4s30jHDz9HcmcdfMMcyfk05acqzTYYl0OSWJJKh9nFPCnqp6ZmlWs+NSVdeIy8CKvDKuenIFK5uGPknXyNlVSUllLVNH6FcqERERCU4Xpw5kX20jDy/ZzDVPZQRlouiLwr28ubaI750+nGlj+nPLtJFKEEnYUpJIgtoba4roHeXhzNGq53I8MpolheobLTc8m8m/VmwNuVkquqvluf7Xf6rqEYmIiEiQKq2s40B/6NoGH7/+7zpydu1zNKZj9dDiTfSO8nDDmSlOhyLiOCWJJGjV1Dfy3vqdXHDSACI9Gmp2PNJT4onwuHAbiHAbBvaN5tevrees+5fx9Ed5VNc1QvYCeGgc3NvXf529wOmwQ8by3BKSYqMZEtfD6VBEREREjkt6SjyRXv/5pNtlyNlVyYyHPuSW+avYULS3259Lrtm+h0VfFHPDmSnE9PA6HY6I4zRfuAStDzbtZl9tA5doVrPjlpYcy/w56WTklZKeEs8pQ/uyIreUeUs387s3N7Bl6d+51zyJ11fjf0DFdlh4u/+2ZnboEJ/PkpFXxsyxiU6HIiIiInLcWp5PDovvwTMfb+HZFfm417/EHyOfIdLW+jfuhueSDy7aRN8eXr53+jCnQxHpFpQkkqD1RnYRcT0jVM+lg9KSYw8Zcz11ZD+mjuzHZ1vLGP6vH+FtrDn0AfXVsOS+bvOPPVh9UbSXiup6po7U+1dERESCW8vzyZ9ecAI3npWC6+HbiaytPXTj+mrskt9gusG5ZObWMj7YtJufX3gCvaPUi0gElCSSIFVV18DiL4q5/JTBeN0aNdkZTh0WB427W13nqyjg5/9Zw+Th8Zw2PI5de2vI2FJGekq8ivy104qmekRTUlSPSEREREJP3x4RUFvc6jq7ZwfXPbOS04bHMXl4PBOGxLBux96DvZG66nzygfc20a9XBNdNSe6S9kSCgZJEEpSWfrmL6vpGzWrW2WKS/N2CWyjzJPDeF8UsyCw4ZHmUx8X8GzRdaHsszy0hpV9PBsREOR2KiIiISOdo41xyb0R/du+r5U/vbQLA4zb4fBaACI+rS6afX55Twoq8UuZeMpYeEfpaLHKAumBIUFq4ppD+vSOZPDzO6VBC2/S54I0+dJk3mn5f+z2rfjWDd350Jued2P/gqpoGHx9uar33kXzl0y2lfJxTwsj+vZwORURERKTztHEu2XfW73jnR2fx+a9n8OS305iY1BefBZ+FugbfITPwdgZrLQ8s2sSAPlFcc9rQTm1LJNgoSSRBZ19NPcs27uai8QNxu8zRHyDHL3U2zJoHMUMA47+eNQ9SZ+NyGU4Y0IebzxlJlNfFgT/F2+uK2FtT72jY3VlWfjnfevpT6hstyzbuIiu/3OmQRERERDrHEc4lAWJ7RjDzpAH8z0UnEunxfzX1WejsU/wPNu0mK7+cW84dSZRXsySLNKd+dRJ0nvowj7oGH6MTezsdSnhInX3EItXNZ7QwWB5avJlvP72SZ68/TdOItuLNtUXUNfqAAzOclWp4noiIiISuo5xLgv988rkb0vlg4y7eXreTB97bxNC4nlycOjDg4VhreXDRJgb3jebKSUMCvn+RYKeeRBJUMreW8eiyHADue2O9emF0E2nJsdwybSQ/nDaKv16bxoaifVzzdAZl++ucDq1b2bhzHy9n+cfluwx4PS7SUzS7mYiIiEhacix3zRzDKz+cysQhfbnt+VW8tnpHwNtZ9EUx2QUV3DF9FBEefR0WaUlHhQSN4r013L1gDU017ajvgvHKcuzOG5vIk9elkbOrkmueyqCksvboDwoD6wsruOrJFUR63My7aiJ3zxzTJUUZRURERIJJ7ygv/7x+MpOHx/GjF1fzUubhha+PV+bWMn756loG9Ink66cMDth+RUKJkkQSFJZ9uYsLH/6IoooavG6DW70wurVzxvTnb989la2l+7nqyQx27a1xOiRHZRfs4ZqnVhLtdbPgB1P42sTB3DJtpBJEIiIiIq3oGenh79+dzBkj+/GT/2Tz3MptHd5n1tYyrn4qg92VdZTur2NNQUUAIhUJPcZa63QMbZo0aZLNzMx0OgxxUF2Dj/vf+ZKnP97CCQN68+g1J1NR3UBGXinpKfH6kt3Nrcwr5fp/fEb/PlH8z4UnsHlXZdj93VZtK+c7z3xKTA8vz9+QzpC4Hk6HJCIiIhIUauobufnfWSzbuJs5ZwwntmfEMZ9LWmtZ+uUufvnfdeys8P9w6TZw18wx3DJtZGeFLtLtGWOyrLWTDluuJFEnyl4AS+6DigKISfJPAXmUom1hrcXrtWvyz/j+quGs3VHBdVOS+cVFJ2r2gSCUlV/Ot59eSXV9I8ZAhNvF/BtaDLPqqmOlK9pp1kZtz0H8at/lfNr7PJ67IZ3BfaOP/ngREREROai2oZFvPb2Sz7aWY4AIj4vn5pxG2rC4QzdscZ7nO3cu77rO5JGlOXxRtJeE3hHsqarH57N4PS4N+5ewpyRRV8teAAtvh/rqr5Z5ow+Z8lGaaeX1qrYR/MbcxLRv3sL5Jw1wMDjpqF//dx3/ysg/eH9ATBSXThjE5OFxTNm/lB7v3tmuYyUrv/yIvciOuL6dx2Sg26ghktoLHyLmtGuP9BKJiIiISBseWbqZB97bdPB+r0g3005I5LThcZw2PI6RxW9jWjkH+2nd91kXdz4/nDaSSycOIrugQiMSRJooSdTVHhoHFa0UWYsZAneu6/p4urs2Xq+G3kl47l7vQEASSFn55Vz7VAZ1jT5cxjCqfy9yd++nrtHHx5G3k2RKDnvM/uiBvHPe4oP3t5bu5/EPcmlotHjchpvOHsGw+J7tXn/B4vPoWV10xHY6qw0d9yIiIiLHLyu/nGufzqCuwYfbGE5LiWfzrn0U7/VPkLI86nYGcfj5ZFX0QCJ/sgG3y3R1yCLdnpJEXe3evsDhr63FYO7d09XRdH9tvF5gQK9XSGjZA6emvpHV2/dw2rMjMK387X3WkFI7P2Dt50VeQ2vnB4Fsp6029D4WERER6ZiW55LWWraVVbFySxnffGN8q+eTOgcTaVtbSSKPE8GEhZikVnvGFNOPRRn5fDMtSfV1mlhrqYwaQO+a1npgJHV9QNIp0pJjD+nWG+V1+2ena+NY8fUZzIffnXbw/rodFdy5YDX1jT68bhcPzZ7IuMEx7V7v+0cSrn0FR2yns9rQ+1hERESkY1qeSxpjSI7vSXJ8T/io9fNJnYOJHDsliTrL9LmH1SZpdEfxXI/vMu+/63h06WZuPGsE10weSnRE+CaLSitr+cl/sum193L+GPkMkbb2q5XeaP/rKKGtlWMFbzSeGfcwNP6rmcCGxvcgMSaqzXHkR1vPjHuO2k5ntaH3sYiIiEgnauN8UudgIseuQ8PNjDF/BGYBdUAu8D1r7Z5WttsK7AMagYbWujS1JqiHm0GrMynZ8d9keW4p85ZsZuWWMuJ7RnDhuIEk9I7gjFEJYVVAbXluCT96YTV7qur55cUncl2vTzGaDS48hejsZnofi4iIiHQRnYOJHJNOqUlkjJkJLLXWNhhj/gBgrf1ZK9ttBSZZaw+vJnYEQZ8kOopPt5Tx+ze/YE1BBQBR3vCYirGh0cefF2/msfdzGN6vJ49efQpjB/VxOiwRERERERGRsNBWksjVkZ1aa9+z1jY03c0ANOjzGEweHsfMZlO71zX4yMgrdTCizvfOuiLO+uMyHl2WwzfTknjjtjOUIBIRERERERHpBjqUJGrheuDtNtZZ4D1jTJYx5sYAthn00lPiifT4/wwG4y/kG6KytpZx879XUbinBq/bcOWpQ+kRobJYIiIiIiIiIt3BUZNExpjFxph1rVwubbbNL4EGoK15pE+31p4CXAjcYow56wjt3WiMyTTGZO7evfsYn07wSUuO5bkb0pmUHIvPWmKivU6H1GkWZhcdnJjS57Mh32tKREREREREJJgcNUlkrT3PWjuulctrAMaY7wCXANfaNgocWWsLm653Aa8Ck4/Q3pPW2knW2kkJCQnH85yCTlpyLI9/O43oCDd/XrzJ6XA6zb6aegDcBrweV0j3mhIREREREREJNh0abmaMuQD4GfA1a21VG9v0NMb0PnAbmAms60i7oahfr0i+O3UYb2QX8eXOvU6HE3DWWj7bWs6EpBjumjkmLAp0i4iIiIiIiASTjtYkehToDSwyxqw2xjwOYIwZZIx5q2mbROBjY8wa4FPgTWvtOx1sNyTdeFYKvSM9PLQo9HoTrd1RwbayKq5NT+aWaSOVIBIRERERERHpZjpUNdhaO7KN5YXARU2384AJHWknXPTtEcH1Zwzn4SWbWVtQwfikGKdDCpiFawrxug3njx1w9I1FREREREREpMsFcnYzCYDvnzmcmGgvDy7a6HQoAePzWd7MLuLs0QnE9AjdwtwiIiIiIiIiwUxJom6mT5SXG89KYdnG3WTllzsdTkCs2lZOYUUNl6QOcjoUEREREREREWmDkkTd0HenDiO+Z0TI9CZauKaQSI+L88YmOh2KiIiIiIiIiLRBSaJuqGekh5vPGcEnOaWsyC11OpwOafRZ3ly7k3NP6E+vyA6VwBIRERERERGRTqQkUTf1rfRk+veO5MFFG7HWOh3OcVuZV0pJZS2zJmiomYiIiIiIiEh3piRRNxXldXPruSP5bGs5H20ucTqc47Ywu4ieEW6mjenvdCgiIiIiIiIicgRKEnVjV546hEExUTywaFNQ9iaqb/Tx9roizhubSHSE2+lwREREREREROQIlCTqxiI9bm6fPoo12/dw94I1QTfb2cc5JeypqmeWZjUTERERERER6faUJOrmUhJ6YoBXPt/B1U9mBFWi6I01RfSO8nDm6H5OhyIiIiIiIiIiR6EkUTf32dZyjPHfrmv0cccLn/NJTkm3H35WU9/Ie+t3csFJA4j0aKiZiIiIiIiISHenJFE3l54ST4THhduAx2XYX9vAtU+v5Bt/Xc6yL3f5k0XZC+ChcXBvX/919gKnw+bDTbvZV9vAJZrVTERERERERCQoeJwOQI4sLTmW+XPSycgrJT0lnpMG9eGlrAIefz+X7/3jM26NX8WdNY/ibqzxP6BiOyy83X87dbZjcS/MLiKuZwRTR8Q7FoOIiIiIiIiItJ+SREEgLTmWtOTYg/e/nZ7MlZOG8OrnBZz91h24bc2hD6ivhiX3OZYkqqprYPEXxVx+ymC8bnVWExEREREREQkG+gYfpCI8Lq48dSiJtqTV9b6KAh5ctIlPckqoqmsgK7+cx5bldEnh66Vf7qK6vlGzmomIiIiIiIgEEfUkCnImJsk/xKyFElc/Hl26mXkW3AZ8ABYivS7mz0k/pGdSoC1cU0hC70gmD4/rtDZEREREREREJLDUkyjYTZ8L3uhDl3mj6X/Z/7Lmnpn8/XunMmlYHNaCBWrrfWTktd77KBD21dSzbONuLh4/ELfLdFo7IiIiIiIiIhJYShIFu9TZMGsexAwBjP961jxInU3vKC/TxvTnpxecQJTXhcGfKFq3Yy8+n+2UcBZ9UUxdg49ZmtVMREREREREJKhouFkoSJ19xCLVX82QVsKm4kpeW13IL15dy/9ePh5XAHv7ZOWX8+jSHPr1iuCUoX0Dtl8RERERERER6XxKEoWJAzOkWWtJio3msWW51Dda7r8iNSDDwrLyy7nmqQxqG3y4XYZV2/Z0at0jEREREREREQksJYnCjDGGH88cQ4TbzUOLN9Hg8/HANyfg6eBU9S9nFVDb4APAWktGXqmSRCIiIiIiIiJBREmiMGSM4Y7zRuH1GO5/ZyP1jT4evupkvMeRKGr0Wf6yLIfnP92GAYyBCI+L9JT4wAcuIiIiIiIiIp1GSaIw9sNzRhLhdvG7NzdQ17CKOWcOIyt/D+kp8e3qBbSzooYfvfg5GXllXDpxEFekJZFdUNHux4uIiIiIiIhI99GhJJEx5l7gBmB306JfWGvfamW7C4CHATfwtLX2/zrSrgTOnDNTiPC4mPvaepZ+WQz4ewLNn5N+aKInewEsuQ8qCiAmiXUn3sG3P02mpt7HH69I5Yq0JIwxnDkqwaFnIiIiIiIiIiIdYaw9/qnQm5JEldbaPx1hGzewCZgBFACfAVdba7842v4nTZpkMzMzjzs+ab8f/CuTd9cXH7w/qn8vrp48lNNS4jhx97u43rgd6qsPrq+yETza8za+8b27GJHQy4mQRUREREREROQ4GGOyrLWTWi7viuFmk4Eca21eUyAvAJcCR00SSde58awRvL9xN3UNPlzGsKe6jvve8P+Jlkf9D4OoPmT7HqaOH3texJUw14lwRURERERERCTAApEkutUYcx2QCdxtrS1vsX4wsL3Z/QLgtLZ2Zoy5EbgRYOjQoQEIT9ojLTmW525IJyOv9GBNoR17qvlsSxkDXytt9TGuvTu6OEoRERERERER6SxHTRIZYxYDA1pZ9Uvgr8BvAdt0/QBwfctdtPLYNse4WWufBJ4E/3Czo8UngZOWHHtIHaLBfaMZfPJgeD8JKrYf/oCYpC6MTkREREREREQ601GTRNba89qzI2PMU8AbrawqAIY0u58EFLYrOukeps+FhYfWJMIb7V8uIiIiIiIiIiHB1ZEHG2MGNrt7ObCulc0+A0YZY4YbYyKAq4DXO9KudLHU2TBrHsQMAYz/etY8/3IRERERERERCQkdrUl0vzFmIv7hY1uBHwAYYwbhn+r+ImttgzHmVuBdwA38zVq7voPtSldLna2kkIiIiIiIiEgI61CSyFr77TaWFwIXNbv/FvBWR9oSEREREREREZHO06HhZiIiIiIiIiIiEhqUJBIRERERERERESWJRERERERERERESSIREREREREREUFJIhERERERERERQUkiERERERERERFBSSIREREREREREQGMtdbpGNpkjNkN5DsdRwD0A0qcDkIkCOhYEWkfHSsi7aNjRaR9dKyItE8oHSvJ1tqElgu7dZIoVBhjMq21k5yOQ6S707Ei0j46VkTaR8eKSPvoWBFpn3A4VjTcTERERERERERElCQSERERERERERElibrKk04HIBIkdKyItI+OFZH20bEi0j46VkTaJ+SPFdUkEhERERERERER9SQSEREREREREZEwTRIZY4YYY5YZYzYYY9YbY+5oWh5njFlkjNncdB3btDy+aftKY8yjLfZ1tTFmrTEm2xjzjjGmXxttpjVtl2OMmWeMMU3Lb2pavtoY87ExZmwbj480xrzY9PiVxphhTcsnGmNWND2PbGPMlQF8qSTMhdixkmyMyWp6/HpjzE0BfKkkzIXSsdJsfR9jzI6W8Yl0RKgdK8aYxqbHrzbGvB6gl0kkFI+VocaY95qezxct/+eIHI9QOk6MMdOa/T9ZbYypMcZcFrhX6xhYa8PuAgwETmm63RvYBIwF7gd+3rT858Afmm73BM4AbgIebbYfD7AL6Nd0/37g3jba/BSYAhjgbeDCpuV9mm3zNeCdNh7/Q+DxpttXAS823R4NjGq6PQgoAvo6/RrrEhqXEDtWIoDIptu9gK3AIKdfY11C4xJKx0qz9Q8DzzWPTxddOnoJtWMFqHT6NdUlNC8heKy8D8xout0L6OH0a6xL8F9C7Thptk0cUObUcRKWPYmstUXW2lVNt/cBG4DBwKXAP5s2+ydwWdM2+621HwM1LXZlmi49mzKIfYDClu0ZYwbif9OssP6/+rPN9r232aY9gbaKRDWP7T/AdGOMsdZustZubtpXIf43d0I7XgaRowqxY6XOWlvbtDySMO1JKZ0jlI6Vpv2nAYnAe+14+iLtFmrHikhnCaVjpalHhcdau6hpf5XW2qr2vA4iRxJKx0mLba4A3nbqOPE40Wh30tS962RgJZBorS0C/xvOGNP/SI+11tYbY24G1gL7gc3ALa1sOhgoaHa/oGnZgRhuAe7C39Ph3DaaGwxsb2q3wRhTAcQDJc32M7lpH7lHilvkeITCsWKMGQK8CYwEftKUWBUJqGA/VowxZcADwLeB6Ud8siIdEOzHCv5zsChjTCbQAPyftfa/R4pb5HiEwLEyGthjjHkFGA4sxt/Lo/FIsYscixA4TkqabXMV8OCRYu5MYf1LujGmF/Ay8KMWmb/2Pt4L3Iz/zTgIyAb+p7VNW1l2MLNorX3MWjsC+Bnwq7aaO9I+mrKa/wK+Z631tesJiLRTqBwr1trt1tpU/Emi7xhjEtv9JETaIUSOlR8Cb1lrtx9D6CLHJESOFYCh1tpJwDXAn40xI9r3DETaJ0SOFQ9wJvBj4FQgBfhu+56ByNGFyHFyIJaBwHjg3XYF3wnCNknU9EZ4GZhvrX2laXFx0x/lwB9n11F2MxHAWpvb1N1sATDVGONuVnDqPvwZxqRmj0uile5rwAs0dVczxvz+wD6a1hUAQ5rWeYAY/OMUMcb0wd874lfW2oz2vQIi7RNKx8oBTT2I1uM/YREJiBA6VqYAtxpjtgJ/Aq4zxvxfu14EkXYIoWPlwP8TrLV5+GuunNyOl0CkXULoWCkAPrfW5llrG4D/Aqe060UQOYoQOk4OmA28aq2tP9pz7yxhmSRqGvP3DLDBWtu8G9frwHeabn8HeO0ou9oBjDXGHKgBNKNpn43W2olNl7lNXd32GWPSm9q+7sC+jTGjmu3vYvxd27DW/vLAPlqJ7QpgqbXWGmMigFeBZ621Lx3L6yByNCF2rCQZY6Kb9hULnA5sbP+rIdK2UDpWrLXXWmuHWmuH4f/V91lr7c+P4eUQaVMoHSvGmFhjTGTTvvrh/7/yRftfDZG2hdKxAnwGxDaL4Vx0rEgAhNhxcsDVwPPtef6dxnaDquRdfcFf0dzi70a2uulyEf6xgEvw/0GXAHHNHrMVf4avEn/2b2zT8pvwF8jKBhYC8W20OQlYh79e0KOAaVr+MP4eDauBZcBJbTw+CngJyMFfUT2lafm3gPpmz2M1MNHp11iX0LiE2LEyo6ntNU3XNzr9+uoSOpdQOlZabPNdNLuZLgG8hNKxAkzFX79iTdP1951+fXUJnUsoHStN6w6ch60F/gFEOP0a6xL8lxA8TobhT1i5nHxdDzwhEREREREREREJY2E53ExERERERERERA6lJJGIiIiIiIiIiChJJCIiIiIiIiIiShKJiIiIiIiIiAhKEomIiIiIiIiICEoSiYiIiIiIiIgIShKJiIiIiIiIiAhKEomIiIiIiIiICPD/AcJVUkNRsrnqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "days = 5\n",
    "plt.plot(dangjin_fcst_2.loc[:24*days, 'Forecast_time'], dangjin_fcst_2.loc[:24*days, 'Temperature'], '.-')\n",
    "plt.plot(fcst_dj_14_.loc[:24*days, 'Forecast_time'], fcst_dj_14_.loc[:24*days, 'Temperature'], 'o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:00:45.761957Z",
     "start_time": "2021-05-06T18:00:45.738048Z"
    }
   },
   "outputs": [],
   "source": [
    "def train_datast(energy_df, fcst_df, target):\n",
    "    # 일기 예보 있는 날짜만 선택\n",
    "    energy = energy_df.loc[24:]\n",
    "    energy.index = range(energy.shape[0])\n",
    "    \n",
    "    # 발전량 데이터가 있는 날짜만 선택\n",
    "    fcst = fcst_df.loc[:25608-1]\n",
    "    fcst.index = range(fcst.shape[0])\n",
    "    \n",
    "    # 발전량과 일기예보 연결\n",
    "    concat_df = pd.concat([energy, fcst], axis=1)\n",
    "    \n",
    "    # 예보 시간 및 날짜 정보 feature로 추가\n",
    "    concat_df['date'] = concat_df['Forecast_time'].str.split(' ').str[0]\n",
    "    concat_df['hour'] = concat_df['Forecast_time'].str.split(' ').str[1].str.split(':').str[0].astype(int)\n",
    "    \n",
    "    concat_df['year'] = concat_df['date'].str.split('-').str[0].astype(int)\n",
    "    concat_df['month'] = concat_df['date'].str.split('-').str[1].astype(int)\n",
    "    concat_df['day'] = concat_df['date'].str.split('-').str[2].astype(int)\n",
    "    \n",
    "    # 예보 시간, 날짜, 기상 예보 및 발전량 선택\n",
    "    feature_df = concat_df[['year', 'month', 'day', 'hour', 'Temperature', 'Humidity', 'WindSpeed', 'WindDirection', 'Cloud', target]]\n",
    "    \n",
    "    # 마지막 30일을 검증데이터셋으로 나머지를 학습 데이터셋으로 선택\n",
    "    train_df = feature_df.iloc[:-24*30]\n",
    "    val_df = feature_df.iloc[-24*30:]\n",
    "    \n",
    "    # 발전량이 0인 데이터를 제외\n",
    "    train_df = train_df[train_df[target]!=0]\n",
    "    \n",
    "    train_x = train_df.loc[:, 'year':'Cloud'].to_numpy()\n",
    "    train_y = train_df[target].to_numpy()\n",
    "    \n",
    "    val_x = val_df.loc[:, 'year':'Cloud'].to_numpy()\n",
    "    val_y = val_df[target].to_numpy()\n",
    "    \n",
    "    return train_x, train_y, val_x, val_y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:00:46.456571Z",
     "start_time": "2021-05-06T18:00:46.434515Z"
    }
   },
   "outputs": [],
   "source": [
    "def nmae_10(y_pred, dataset):\n",
    "    y_true = dataset.get_label()\n",
    "    \n",
    "    absolute_error = abs(y_true - y_pred)\n",
    "    absolute_error /= capacity\n",
    "    \n",
    "    target_idx = np.where(y_true>=capacity*0.1)\n",
    "    \n",
    "    nmae = 100 * absolute_error[target_idx].mean()\n",
    "    \n",
    "    return 'score', nmae, False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:00:46.741114Z",
     "start_time": "2021-05-06T18:00:46.726903Z"
    }
   },
   "outputs": [],
   "source": [
    "def sola_nmae(answer, pred):\n",
    "    absolute_error = np.abs(answer - pred)\n",
    "    \n",
    "    absolute_error /= capacity\n",
    "    \n",
    "    target_idx = np.where(answer>=capacity*0.1)\n",
    "    \n",
    "    nmae = 100 * absolute_error[target_idx].mean()\n",
    "    \n",
    "    return nmae"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:00:47.355444Z",
     "start_time": "2021-05-06T18:00:47.335496Z"
    }
   },
   "outputs": [],
   "source": [
    "params = {\n",
    "    'learning_rate': 0.01,\n",
    "    'objective': 'regression',\n",
    "    'metric':'mae',\n",
    "    'seed':42\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:00:50.409083Z",
     "start_time": "2021-05-06T18:00:50.255264Z"
    }
   },
   "outputs": [],
   "source": [
    "dangjin_fcst_2['Forecast_time'] = dangjin_fcst_2['Forecast_time'].astype(str)\n",
    "dangjin_fcst['Forecast_time'] = dangjin_fcst['Forecast_time'].astype(str)\n",
    "inter_fcst_14['Forecast_time'] = inter_fcst_14['Forecast_time'].astype(str)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:05:00.536520Z",
     "start_time": "2021-05-06T18:04:59.483336Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Warning] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 758\n",
      "[LightGBM] [Info] Number of data points in the train set: 12378, number of used features: 9\n",
      "[LightGBM] [Info] Start training from score 247.345048\n",
      "Training until validation scores don't improve for 100 rounds\n",
      "Early stopping, best iteration is:\n",
      "[311]\tvalid_0's l1: 55.5103\tvalid_0's score: 8.19728\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CV Score :  8.197275967964854\n"
     ]
    }
   ],
   "source": [
    "train_x, train_y, val_x, val_y = train_datast(energy, inter_fcst_14, target='dangjin_floating')\n",
    "train_dataset = lgb.Dataset(train_x, train_y)\n",
    "val_dataset = lgb.Dataset(val_x, val_y)\n",
    "capacity = 1000\n",
    "dangjin_floating_model = lgb.train(params, train_dataset, 10000, val_dataset, feval=nmae_10, verbose_eval=500, early_stopping_rounds=100)\n",
    "\n",
    "pred = dangjin_floating_model.predict(val_x)\n",
    "\n",
    "plt.figure(figsize=(20,5))\n",
    "plt.plot(val_y, label='true')\n",
    "plt.plot(pred, label='pred')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print('CV Score : ', sola_nmae(val_y, pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:04:33.686905Z",
     "start_time": "2021-05-06T18:04:32.504259Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Warning] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 516\n",
      "[LightGBM] [Info] Number of data points in the train set: 12378, number of used features: 9\n",
      "[LightGBM] [Info] Start training from score 247.345048\n",
      "Training until validation scores don't improve for 100 rounds\n",
      "[500]\tvalid_0's l1: 41.358\tvalid_0's score: 8.06371\n",
      "Early stopping, best iteration is:\n",
      "[421]\tvalid_0's l1: 46.1328\tvalid_0's score: 7.93598\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CV Score :  7.935976609335304\n"
     ]
    }
   ],
   "source": [
    "train_x, train_y, val_x, val_y = train_datast(energy, dangjin_fcst, target='dangjin_floating')\n",
    "train_dataset = lgb.Dataset(train_x, train_y)\n",
    "val_dataset = lgb.Dataset(val_x, val_y)\n",
    "capacity = 1000\n",
    "dangjin_floating_model = lgb.train(params, train_dataset, 10000, val_dataset, feval=nmae_10, verbose_eval=500, early_stopping_rounds=100)\n",
    "\n",
    "pred = dangjin_floating_model.predict(val_x)\n",
    "\n",
    "plt.figure(figsize=(20,5))\n",
    "plt.plot(val_y, label='true')\n",
    "plt.plot(pred, label='pred')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print('CV Score : ', sola_nmae(val_y, pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:04:44.318275Z",
     "start_time": "2021-05-06T18:04:43.325845Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Warning] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000620 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 918\n",
      "[LightGBM] [Info] Number of data points in the train set: 12378, number of used features: 9\n",
      "[LightGBM] [Info] Start training from score 247.345048\n",
      "Training until validation scores don't improve for 100 rounds\n",
      "Early stopping, best iteration is:\n",
      "[245]\tvalid_0's l1: 66.1952\tvalid_0's score: 8.221\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CV Score :  8.220996776317856\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "train_x, train_y, val_x, val_y = train_datast(energy, dangjin_fcst_2, target='dangjin_floating')\n",
    "train_dataset = lgb.Dataset(train_x, train_y)\n",
    "val_dataset = lgb.Dataset(val_x, val_y)\n",
    "capacity = 1000\n",
    "dangjin_floating_model = lgb.train(params, train_dataset, 10000, val_dataset, feval=nmae_10, verbose_eval=500, early_stopping_rounds=100)\n",
    "\n",
    "pred = dangjin_floating_model.predict(val_x)\n",
    "\n",
    "plt.figure(figsize=(20,5))\n",
    "plt.plot(val_y, label='true')\n",
    "plt.plot(pred, label='pred')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print('CV Score : ', sola_nmae(val_y, pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T18:03:08.103938Z",
     "start_time": "2021-05-06T18:03:08.081997Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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     "library": "var_list.r",
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    }
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 },
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 "nbformat_minor": 4
}