From 9a7f2f018cf8bc9188ca1a0450dbb2e33ecde8ab Mon Sep 17 00:00:00 2001
From: wassname <wassname@users.noreply.github.com>
Date: Sat, 31 Oct 2020 09:14:32 +0800
Subject: [PATCH] misc

---
 .gitignore                         |    1 +
 notebooks/00.03-mc-load_data.ipynb | 1837 ----------------------------
 2 files changed, 1 insertion(+), 1837 deletions(-)
 delete mode 100644 notebooks/00.03-mc-load_data.ipynb

diff --git a/.gitignore b/.gitignore
index 8dd31dc..89f4902 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,6 +5,7 @@ outputs/
 *ignore*.ipynb
 *Copy*.ipynb
 *Untitled*.ipynb
+old/
 
 # Byte-compiled / optimized / DLL files
 __pycache__/
diff --git a/notebooks/00.03-mc-load_data.ipynb b/notebooks/00.03-mc-load_data.ipynb
deleted file mode 100644
index 172b95d..0000000
--- a/notebooks/00.03-mc-load_data.ipynb
+++ /dev/null
@@ -1,1837 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-25T07:08:04.786938Z",
-     "start_time": "2020-10-25T07:08:04.731940Z"
-    }
-   },
-   "source": [
-    "Here I load multiple multivariate timeseries regression datasets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-26T06:35:54.611051Z",
-     "start_time": "2020-10-26T06:35:54.331912Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
-   "source": [
-    "# OPTIONAL: Load the \"autoreload\" extension so that code can change. But blacklist large modules\n",
-    "%load_ext autoreload\n",
-    "%autoreload 2\n",
-    "%aimport -pandas\n",
-    "%aimport -torch\n",
-    "%aimport -numpy\n",
-    "%aimport -matplotlib\n",
-    "%aimport -dask\n",
-    "%aimport -tqdm\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-26T06:36:36.152509Z",
-     "start_time": "2020-10-26T06:36:36.102274Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "from pathlib import Path\n",
-    "from matplotlib import pyplot as plt\n",
-    "from seq2seq_time.data.data import IMOSCurrentsVel, AppliancesEnergyPrediction, BejingPM25, GasSensor, MetroInterstateTraffic"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-26T06:36:36.299806Z",
-     "start_time": "2020-10-26T06:36:36.250307Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "datasets_root = Path('../data/processed/')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-26T06:36:51.271974Z",
-     "start_time": "2020-10-26T06:36:36.361497Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-       "      <th>2009-07-15 08:30:00</th>\n",
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-       "      <th>2009-07-15 09:30:00</th>\n",
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-       "      <td>-0.113279</td>\n",
-       "      <td>0.486733</td>\n",
-       "      <td>-1.102618</td>\n",
-       "      <td>-0.957510</td>\n",
-       "      <td>0.140953</td>\n",
-       "      <td>-0.866025</td>\n",
-       "      <td>1.061620</td>\n",
-       "      <td>0.145843</td>\n",
-       "      <td>-0.685210</td>\n",
-       "      <td>-0.396730</td>\n",
-       "      <td>0.488019</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-07-15 10:00:00</th>\n",
-       "      <td>-0.455938</td>\n",
-       "      <td>0.073769</td>\n",
-       "      <td>-0.014929</td>\n",
-       "      <td>19.120001</td>\n",
-       "      <td>205.052002</td>\n",
-       "      <td>203.527023</td>\n",
-       "      <td>5.4</td>\n",
-       "      <td>-3.9</td>\n",
-       "      <td>-31.728650</td>\n",
-       "      <td>115.037217</td>\n",
-       "      <td>-0.292688</td>\n",
-       "      <td>4.999999e-01</td>\n",
-       "      <td>-0.971373</td>\n",
-       "      <td>-1.168919</td>\n",
-       "      <td>1.064384</td>\n",
-       "      <td>-0.245761</td>\n",
-       "      <td>0.596302</td>\n",
-       "      <td>-1.102049</td>\n",
-       "      <td>-0.791046</td>\n",
-       "      <td>0.744158</td>\n",
-       "      <td>-0.500000</td>\n",
-       "      <td>1.009281</td>\n",
-       "      <td>0.150223</td>\n",
-       "      <td>-0.684688</td>\n",
-       "      <td>-0.397059</td>\n",
-       "      <td>0.461867</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",
-       "      <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>2020-03-26 01:00:00</th>\n",
-       "      <td>-0.436635</td>\n",
-       "      <td>-0.784922</td>\n",
-       "      <td>-0.012147</td>\n",
-       "      <td>16.610001</td>\n",
-       "      <td>197.384003</td>\n",
-       "      <td>195.919662</td>\n",
-       "      <td>-2.9</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>-31.728717</td>\n",
-       "      <td>115.042133</td>\n",
-       "      <td>0.960594</td>\n",
-       "      <td>8.675942e-01</td>\n",
-       "      <td>-0.841602</td>\n",
-       "      <td>0.704716</td>\n",
-       "      <td>-0.475311</td>\n",
-       "      <td>-0.734741</td>\n",
-       "      <td>0.190139</td>\n",
-       "      <td>0.964792</td>\n",
-       "      <td>0.882484</td>\n",
-       "      <td>0.770444</td>\n",
-       "      <td>0.505439</td>\n",
-       "      <td>1.028587</td>\n",
-       "      <td>-0.881951</td>\n",
-       "      <td>0.990514</td>\n",
-       "      <td>0.997626</td>\n",
-       "      <td>0.898194</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-03-26 01:30:00</th>\n",
-       "      <td>-0.355067</td>\n",
-       "      <td>-0.845100</td>\n",
-       "      <td>-0.005201</td>\n",
-       "      <td>16.629999</td>\n",
-       "      <td>197.408005</td>\n",
-       "      <td>195.943497</td>\n",
-       "      <td>-2.7</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>-31.728717</td>\n",
-       "      <td>115.042133</td>\n",
-       "      <td>0.980035</td>\n",
-       "      <td>7.093279e-01</td>\n",
-       "      <td>-0.939708</td>\n",
-       "      <td>0.438315</td>\n",
-       "      <td>-0.595895</td>\n",
-       "      <td>-0.629257</td>\n",
-       "      <td>0.316317</td>\n",
-       "      <td>0.895545</td>\n",
-       "      <td>0.957914</td>\n",
-       "      <td>0.933774</td>\n",
-       "      <td>0.006292</td>\n",
-       "      <td>0.851981</td>\n",
-       "      <td>-0.880483</td>\n",
-       "      <td>0.990416</td>\n",
-       "      <td>0.997601</td>\n",
-       "      <td>0.916660</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-03-26 02:00:00</th>\n",
-       "      <td>-0.568277</td>\n",
-       "      <td>-0.816935</td>\n",
-       "      <td>-0.024944</td>\n",
-       "      <td>16.660000</td>\n",
-       "      <td>197.412994</td>\n",
-       "      <td>195.948425</td>\n",
-       "      <td>-2.6</td>\n",
-       "      <td>2.9</td>\n",
-       "      <td>-31.728717</td>\n",
-       "      <td>115.042133</td>\n",
-       "      <td>0.937112</td>\n",
-       "      <td>5.027222e-01</td>\n",
-       "      <td>-0.980228</td>\n",
-       "      <td>0.141881</td>\n",
-       "      <td>-0.706228</td>\n",
-       "      <td>-0.514470</td>\n",
-       "      <td>0.437113</td>\n",
-       "      <td>0.814067</td>\n",
-       "      <td>0.793395</td>\n",
-       "      <td>0.584762</td>\n",
-       "      <td>-0.494541</td>\n",
-       "      <td>0.551159</td>\n",
-       "      <td>-0.878996</td>\n",
-       "      <td>0.990316</td>\n",
-       "      <td>0.997576</td>\n",
-       "      <td>0.995149</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-03-26 02:30:00</th>\n",
-       "      <td>-0.306141</td>\n",
-       "      <td>-0.773147</td>\n",
-       "      <td>-0.028096</td>\n",
-       "      <td>16.719999</td>\n",
-       "      <td>197.419006</td>\n",
-       "      <td>195.954407</td>\n",
-       "      <td>-2.6</td>\n",
-       "      <td>2.7</td>\n",
-       "      <td>-31.728717</td>\n",
-       "      <td>115.042133</td>\n",
-       "      <td>0.834555</td>\n",
-       "      <td>2.618567e-01</td>\n",
-       "      <td>-0.960681</td>\n",
-       "      <td>-0.164275</td>\n",
-       "      <td>-0.804410</td>\n",
-       "      <td>-0.392074</td>\n",
-       "      <td>0.550470</td>\n",
-       "      <td>0.721473</td>\n",
-       "      <td>0.430136</td>\n",
-       "      <td>-0.085096</td>\n",
-       "      <td>-0.862862</td>\n",
-       "      <td>0.169980</td>\n",
-       "      <td>-0.877489</td>\n",
-       "      <td>0.990217</td>\n",
-       "      <td>0.997551</td>\n",
-       "      <td>0.831552</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-03-26 03:00:00</th>\n",
-       "      <td>-0.218563</td>\n",
-       "      <td>-0.757217</td>\n",
-       "      <td>0.013233</td>\n",
-       "      <td>16.790001</td>\n",
-       "      <td>197.429001</td>\n",
-       "      <td>195.964340</td>\n",
-       "      <td>-2.8</td>\n",
-       "      <td>2.8</td>\n",
-       "      <td>-31.728717</td>\n",
-       "      <td>115.042133</td>\n",
-       "      <td>0.678892</td>\n",
-       "      <td>3.146174e-03</td>\n",
-       "      <td>-0.882264</td>\n",
-       "      <td>-0.459175</td>\n",
-       "      <td>-0.888754</td>\n",
-       "      <td>-0.263881</td>\n",
-       "      <td>0.654460</td>\n",
-       "      <td>0.619026</td>\n",
-       "      <td>-0.040868</td>\n",
-       "      <td>-0.708264</td>\n",
-       "      <td>-0.999980</td>\n",
-       "      <td>-0.235982</td>\n",
-       "      <td>-0.875962</td>\n",
-       "      <td>0.990116</td>\n",
-       "      <td>0.997526</td>\n",
-       "      <td>0.788129</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>187527 rows × 26 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                         VCUR      UCUR      WCUR       TEMP    PRES_REL       DEPTH  ROLL  PITCH   LATITUDE  ...        Q1        M4        M6        S4       MK3        MM       SSA        SA       SPD\n",
-       "TIME                                                                                                          ...                                                                                          \n",
-       "2009-07-15 08:00:00 -0.396391  0.089687 -0.009671  18.549999  205.076004  203.550812   4.6   -3.4 -31.728650  ... -1.014973 -0.146817 -0.801534 -0.500000  0.370082  0.132683 -0.686775 -0.395743  0.406411\n",
-       "2009-07-15 08:30:00 -0.406632  0.119376 -0.003729  18.799999  205.067001  203.541901   4.7   -2.4 -31.728650  ... -1.058780 -0.589276 -0.924071 -0.866025  0.716890  0.137073 -0.686253 -0.396072  0.423792\n",
-       "2009-07-15 09:00:00 -0.445501  0.136615 -0.018275  18.950001  205.059998  203.534958   5.2   -3.5 -31.728650  ... -1.088129 -0.884126 -0.539590 -1.000000  0.959177  0.141459 -0.685732 -0.396401  0.465978\n",
-       "2009-07-15 09:30:00 -0.476184  0.106824 -0.003664  19.049999  205.056000  203.530975   4.8   -3.0 -31.728650  ... -1.102618 -0.957510  0.140953 -0.866025  1.061620  0.145843 -0.685210 -0.396730  0.488019\n",
-       "2009-07-15 10:00:00 -0.455938  0.073769 -0.014929  19.120001  205.052002  203.527023   5.4   -3.9 -31.728650  ... -1.102049 -0.791046  0.744158 -0.500000  1.009281  0.150223 -0.684688 -0.397059  0.461867\n",
-       "...                       ...       ...       ...        ...         ...         ...   ...    ...        ...  ...       ...       ...       ...       ...       ...       ...       ...       ...       ...\n",
-       "2020-03-26 01:00:00 -0.436635 -0.784922 -0.012147  16.610001  197.384003  195.919662  -2.9    3.0 -31.728717  ...  0.964792  0.882484  0.770444  0.505439  1.028587 -0.881951  0.990514  0.997626  0.898194\n",
-       "2020-03-26 01:30:00 -0.355067 -0.845100 -0.005201  16.629999  197.408005  195.943497  -2.7    3.0 -31.728717  ...  0.895545  0.957914  0.933774  0.006292  0.851981 -0.880483  0.990416  0.997601  0.916660\n",
-       "2020-03-26 02:00:00 -0.568277 -0.816935 -0.024944  16.660000  197.412994  195.948425  -2.6    2.9 -31.728717  ...  0.814067  0.793395  0.584762 -0.494541  0.551159 -0.878996  0.990316  0.997576  0.995149\n",
-       "2020-03-26 02:30:00 -0.306141 -0.773147 -0.028096  16.719999  197.419006  195.954407  -2.6    2.7 -31.728717  ...  0.721473  0.430136 -0.085096 -0.862862  0.169980 -0.877489  0.990217  0.997551  0.831552\n",
-       "2020-03-26 03:00:00 -0.218563 -0.757217  0.013233  16.790001  197.429001  195.964340  -2.8    2.8 -31.728717  ...  0.619026 -0.040868 -0.708264 -0.999980 -0.235982 -0.875962  0.990116  0.997526  0.788129\n",
-       "\n",
-       "[187527 rows x 26 columns]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "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>lights</th>\n",
-       "      <th>T1</th>\n",
-       "      <th>RH_1</th>\n",
-       "      <th>T2</th>\n",
-       "      <th>RH_2</th>\n",
-       "      <th>T3</th>\n",
-       "      <th>RH_3</th>\n",
-       "      <th>T4</th>\n",
-       "      <th>RH_4</th>\n",
-       "      <th>T5</th>\n",
-       "      <th>RH_5</th>\n",
-       "      <th>T6</th>\n",
-       "      <th>RH_6</th>\n",
-       "      <th>T7</th>\n",
-       "      <th>RH_7</th>\n",
-       "      <th>T8</th>\n",
-       "      <th>RH_8</th>\n",
-       "      <th>T9</th>\n",
-       "      <th>RH_9</th>\n",
-       "      <th>T_out</th>\n",
-       "      <th>Press_mm_hg</th>\n",
-       "      <th>RH_out</th>\n",
-       "      <th>Windspeed</th>\n",
-       "      <th>Visibility</th>\n",
-       "      <th>Tdewpoint</th>\n",
-       "      <th>rv1</th>\n",
-       "      <th>rv2</th>\n",
-       "      <th>log_Appliances</th>\n",
-       "      <th>month</th>\n",
-       "      <th>day</th>\n",
-       "      <th>week</th>\n",
-       "      <th>hour</th>\n",
-       "      <th>minute</th>\n",
-       "      <th>dayofweek</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",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2016-01-11 17:00:00</th>\n",
-       "      <td>30</td>\n",
-       "      <td>19.890000</td>\n",
-       "      <td>47.596667</td>\n",
-       "      <td>19.200000</td>\n",
-       "      <td>44.790000</td>\n",
-       "      <td>19.790000</td>\n",
-       "      <td>44.730000</td>\n",
-       "      <td>19.000000</td>\n",
-       "      <td>45.566667</td>\n",
-       "      <td>17.166667</td>\n",
-       "      <td>55.200000</td>\n",
-       "      <td>7.026667</td>\n",
-       "      <td>84.256667</td>\n",
-       "      <td>17.200000</td>\n",
-       "      <td>41.626667</td>\n",
-       "      <td>18.2000</td>\n",
-       "      <td>48.900000</td>\n",
-       "      <td>17.033333</td>\n",
-       "      <td>45.5300</td>\n",
-       "      <td>6.600000</td>\n",
-       "      <td>733.5</td>\n",
-       "      <td>92.000000</td>\n",
-       "      <td>7.000000</td>\n",
-       "      <td>63.000000</td>\n",
-       "      <td>5.300000</td>\n",
-       "      <td>13.275433</td>\n",
-       "      <td>13.275433</td>\n",
-       "      <td>4.094345</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-01-11 17:10:00</th>\n",
-       "      <td>30</td>\n",
-       "      <td>19.890000</td>\n",
-       "      <td>46.693333</td>\n",
-       "      <td>19.200000</td>\n",
-       "      <td>44.722500</td>\n",
-       "      <td>19.790000</td>\n",
-       "      <td>44.790000</td>\n",
-       "      <td>19.000000</td>\n",
-       "      <td>45.992500</td>\n",
-       "      <td>17.166667</td>\n",
-       "      <td>55.200000</td>\n",
-       "      <td>6.833333</td>\n",
-       "      <td>84.063333</td>\n",
-       "      <td>17.200000</td>\n",
-       "      <td>41.560000</td>\n",
-       "      <td>18.2000</td>\n",
-       "      <td>48.863333</td>\n",
-       "      <td>17.066667</td>\n",
-       "      <td>45.5600</td>\n",
-       "      <td>6.483333</td>\n",
-       "      <td>733.6</td>\n",
-       "      <td>92.000000</td>\n",
-       "      <td>6.666667</td>\n",
-       "      <td>59.166667</td>\n",
-       "      <td>5.200000</td>\n",
-       "      <td>18.606195</td>\n",
-       "      <td>18.606195</td>\n",
-       "      <td>4.094345</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>10</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-01-11 17:20:00</th>\n",
-       "      <td>30</td>\n",
-       "      <td>19.890000</td>\n",
-       "      <td>46.300000</td>\n",
-       "      <td>19.200000</td>\n",
-       "      <td>44.626667</td>\n",
-       "      <td>19.790000</td>\n",
-       "      <td>44.933333</td>\n",
-       "      <td>18.926667</td>\n",
-       "      <td>45.890000</td>\n",
-       "      <td>17.166667</td>\n",
-       "      <td>55.090000</td>\n",
-       "      <td>6.560000</td>\n",
-       "      <td>83.156667</td>\n",
-       "      <td>17.200000</td>\n",
-       "      <td>41.433333</td>\n",
-       "      <td>18.2000</td>\n",
-       "      <td>48.730000</td>\n",
-       "      <td>17.000000</td>\n",
-       "      <td>45.5000</td>\n",
-       "      <td>6.366667</td>\n",
-       "      <td>733.7</td>\n",
-       "      <td>92.000000</td>\n",
-       "      <td>6.333333</td>\n",
-       "      <td>55.333333</td>\n",
-       "      <td>5.100000</td>\n",
-       "      <td>28.642668</td>\n",
-       "      <td>28.642668</td>\n",
-       "      <td>3.912023</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>20</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-01-11 17:30:00</th>\n",
-       "      <td>40</td>\n",
-       "      <td>19.890000</td>\n",
-       "      <td>46.066667</td>\n",
-       "      <td>19.200000</td>\n",
-       "      <td>44.590000</td>\n",
-       "      <td>19.790000</td>\n",
-       "      <td>45.000000</td>\n",
-       "      <td>18.890000</td>\n",
-       "      <td>45.723333</td>\n",
-       "      <td>17.166667</td>\n",
-       "      <td>55.090000</td>\n",
-       "      <td>6.433333</td>\n",
-       "      <td>83.423333</td>\n",
-       "      <td>17.133333</td>\n",
-       "      <td>41.290000</td>\n",
-       "      <td>18.1000</td>\n",
-       "      <td>48.590000</td>\n",
-       "      <td>17.000000</td>\n",
-       "      <td>45.4000</td>\n",
-       "      <td>6.250000</td>\n",
-       "      <td>733.8</td>\n",
-       "      <td>92.000000</td>\n",
-       "      <td>6.000000</td>\n",
-       "      <td>51.500000</td>\n",
-       "      <td>5.000000</td>\n",
-       "      <td>45.410389</td>\n",
-       "      <td>45.410389</td>\n",
-       "      <td>3.912023</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>30</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-01-11 17:40:00</th>\n",
-       "      <td>40</td>\n",
-       "      <td>19.890000</td>\n",
-       "      <td>46.333333</td>\n",
-       "      <td>19.200000</td>\n",
-       "      <td>44.530000</td>\n",
-       "      <td>19.790000</td>\n",
-       "      <td>45.000000</td>\n",
-       "      <td>18.890000</td>\n",
-       "      <td>45.530000</td>\n",
-       "      <td>17.200000</td>\n",
-       "      <td>55.090000</td>\n",
-       "      <td>6.366667</td>\n",
-       "      <td>84.893333</td>\n",
-       "      <td>17.200000</td>\n",
-       "      <td>41.230000</td>\n",
-       "      <td>18.1000</td>\n",
-       "      <td>48.590000</td>\n",
-       "      <td>17.000000</td>\n",
-       "      <td>45.4000</td>\n",
-       "      <td>6.133333</td>\n",
-       "      <td>733.9</td>\n",
-       "      <td>92.000000</td>\n",
-       "      <td>5.666667</td>\n",
-       "      <td>47.666667</td>\n",
-       "      <td>4.900000</td>\n",
-       "      <td>10.084097</td>\n",
-       "      <td>10.084097</td>\n",
-       "      <td>4.094345</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>40</td>\n",
-       "      <td>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",
-       "      <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",
-       "      <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>2016-05-27 17:20:00</th>\n",
-       "      <td>0</td>\n",
-       "      <td>25.566667</td>\n",
-       "      <td>46.560000</td>\n",
-       "      <td>25.890000</td>\n",
-       "      <td>42.025714</td>\n",
-       "      <td>27.200000</td>\n",
-       "      <td>41.163333</td>\n",
-       "      <td>24.700000</td>\n",
-       "      <td>45.590000</td>\n",
-       "      <td>23.200000</td>\n",
-       "      <td>52.400000</td>\n",
-       "      <td>24.796667</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>24.500000</td>\n",
-       "      <td>44.500000</td>\n",
-       "      <td>24.7000</td>\n",
-       "      <td>50.074000</td>\n",
-       "      <td>23.200000</td>\n",
-       "      <td>46.7900</td>\n",
-       "      <td>22.733333</td>\n",
-       "      <td>755.2</td>\n",
-       "      <td>55.666667</td>\n",
-       "      <td>3.333333</td>\n",
-       "      <td>23.666667</td>\n",
-       "      <td>13.333333</td>\n",
-       "      <td>43.096812</td>\n",
-       "      <td>43.096812</td>\n",
-       "      <td>4.605170</td>\n",
-       "      <td>5</td>\n",
-       "      <td>27</td>\n",
-       "      <td>21</td>\n",
-       "      <td>17</td>\n",
-       "      <td>20</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-05-27 17:30:00</th>\n",
-       "      <td>0</td>\n",
-       "      <td>25.500000</td>\n",
-       "      <td>46.500000</td>\n",
-       "      <td>25.754000</td>\n",
-       "      <td>42.080000</td>\n",
-       "      <td>27.133333</td>\n",
-       "      <td>41.223333</td>\n",
-       "      <td>24.700000</td>\n",
-       "      <td>45.590000</td>\n",
-       "      <td>23.230000</td>\n",
-       "      <td>52.326667</td>\n",
-       "      <td>24.196667</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>24.557143</td>\n",
-       "      <td>44.414286</td>\n",
-       "      <td>24.7000</td>\n",
-       "      <td>49.790000</td>\n",
-       "      <td>23.200000</td>\n",
-       "      <td>46.7900</td>\n",
-       "      <td>22.600000</td>\n",
-       "      <td>755.2</td>\n",
-       "      <td>56.000000</td>\n",
-       "      <td>3.500000</td>\n",
-       "      <td>24.500000</td>\n",
-       "      <td>13.300000</td>\n",
-       "      <td>49.282940</td>\n",
-       "      <td>49.282940</td>\n",
-       "      <td>4.499810</td>\n",
-       "      <td>5</td>\n",
-       "      <td>27</td>\n",
-       "      <td>21</td>\n",
-       "      <td>17</td>\n",
-       "      <td>30</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-05-27 17:40:00</th>\n",
-       "      <td>10</td>\n",
-       "      <td>25.500000</td>\n",
-       "      <td>46.596667</td>\n",
-       "      <td>25.628571</td>\n",
-       "      <td>42.768571</td>\n",
-       "      <td>27.050000</td>\n",
-       "      <td>41.690000</td>\n",
-       "      <td>24.700000</td>\n",
-       "      <td>45.730000</td>\n",
-       "      <td>23.230000</td>\n",
-       "      <td>52.266667</td>\n",
-       "      <td>23.626667</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>24.540000</td>\n",
-       "      <td>44.400000</td>\n",
-       "      <td>24.7000</td>\n",
-       "      <td>49.660000</td>\n",
-       "      <td>23.200000</td>\n",
-       "      <td>46.7900</td>\n",
-       "      <td>22.466667</td>\n",
-       "      <td>755.2</td>\n",
-       "      <td>56.333333</td>\n",
-       "      <td>3.666667</td>\n",
-       "      <td>25.333333</td>\n",
-       "      <td>13.266667</td>\n",
-       "      <td>29.199117</td>\n",
-       "      <td>29.199117</td>\n",
-       "      <td>5.598422</td>\n",
-       "      <td>5</td>\n",
-       "      <td>27</td>\n",
-       "      <td>21</td>\n",
-       "      <td>17</td>\n",
-       "      <td>40</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-05-27 17:50:00</th>\n",
-       "      <td>10</td>\n",
-       "      <td>25.500000</td>\n",
-       "      <td>46.990000</td>\n",
-       "      <td>25.414000</td>\n",
-       "      <td>43.036000</td>\n",
-       "      <td>26.890000</td>\n",
-       "      <td>41.290000</td>\n",
-       "      <td>24.700000</td>\n",
-       "      <td>45.790000</td>\n",
-       "      <td>23.200000</td>\n",
-       "      <td>52.200000</td>\n",
-       "      <td>22.433333</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>24.500000</td>\n",
-       "      <td>44.295714</td>\n",
-       "      <td>24.6625</td>\n",
-       "      <td>49.518750</td>\n",
-       "      <td>23.200000</td>\n",
-       "      <td>46.8175</td>\n",
-       "      <td>22.333333</td>\n",
-       "      <td>755.2</td>\n",
-       "      <td>56.666667</td>\n",
-       "      <td>3.833333</td>\n",
-       "      <td>26.166667</td>\n",
-       "      <td>13.233333</td>\n",
-       "      <td>6.322784</td>\n",
-       "      <td>6.322784</td>\n",
-       "      <td>6.040255</td>\n",
-       "      <td>5</td>\n",
-       "      <td>27</td>\n",
-       "      <td>21</td>\n",
-       "      <td>17</td>\n",
-       "      <td>50</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-05-27 18:00:00</th>\n",
-       "      <td>10</td>\n",
-       "      <td>25.500000</td>\n",
-       "      <td>46.600000</td>\n",
-       "      <td>25.264286</td>\n",
-       "      <td>42.971429</td>\n",
-       "      <td>26.823333</td>\n",
-       "      <td>41.156667</td>\n",
-       "      <td>24.700000</td>\n",
-       "      <td>45.963333</td>\n",
-       "      <td>23.200000</td>\n",
-       "      <td>52.200000</td>\n",
-       "      <td>21.026667</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>24.500000</td>\n",
-       "      <td>44.054000</td>\n",
-       "      <td>24.7360</td>\n",
-       "      <td>49.736000</td>\n",
-       "      <td>23.200000</td>\n",
-       "      <td>46.8450</td>\n",
-       "      <td>22.200000</td>\n",
-       "      <td>755.2</td>\n",
-       "      <td>57.000000</td>\n",
-       "      <td>4.000000</td>\n",
-       "      <td>27.000000</td>\n",
-       "      <td>13.200000</td>\n",
-       "      <td>34.118851</td>\n",
-       "      <td>34.118851</td>\n",
-       "      <td>6.063785</td>\n",
-       "      <td>5</td>\n",
-       "      <td>27</td>\n",
-       "      <td>21</td>\n",
-       "      <td>18</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>19735 rows × 34 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     lights         T1       RH_1         T2       RH_2         T3       RH_3         T4       RH_4  ...        rv1        rv2  log_Appliances  month  day  week  hour  minute  dayofweek\n",
-       "date                                                                                                                 ...                                                                                 \n",
-       "2016-01-11 17:00:00      30  19.890000  47.596667  19.200000  44.790000  19.790000  44.730000  19.000000  45.566667  ...  13.275433  13.275433        4.094345      1   11     2    17       0          0\n",
-       "2016-01-11 17:10:00      30  19.890000  46.693333  19.200000  44.722500  19.790000  44.790000  19.000000  45.992500  ...  18.606195  18.606195        4.094345      1   11     2    17      10          0\n",
-       "2016-01-11 17:20:00      30  19.890000  46.300000  19.200000  44.626667  19.790000  44.933333  18.926667  45.890000  ...  28.642668  28.642668        3.912023      1   11     2    17      20          0\n",
-       "2016-01-11 17:30:00      40  19.890000  46.066667  19.200000  44.590000  19.790000  45.000000  18.890000  45.723333  ...  45.410389  45.410389        3.912023      1   11     2    17      30          0\n",
-       "2016-01-11 17:40:00      40  19.890000  46.333333  19.200000  44.530000  19.790000  45.000000  18.890000  45.530000  ...  10.084097  10.084097        4.094345      1   11     2    17      40          0\n",
-       "...                     ...        ...        ...        ...        ...        ...        ...        ...        ...  ...        ...        ...             ...    ...  ...   ...   ...     ...        ...\n",
-       "2016-05-27 17:20:00       0  25.566667  46.560000  25.890000  42.025714  27.200000  41.163333  24.700000  45.590000  ...  43.096812  43.096812        4.605170      5   27    21    17      20          4\n",
-       "2016-05-27 17:30:00       0  25.500000  46.500000  25.754000  42.080000  27.133333  41.223333  24.700000  45.590000  ...  49.282940  49.282940        4.499810      5   27    21    17      30          4\n",
-       "2016-05-27 17:40:00      10  25.500000  46.596667  25.628571  42.768571  27.050000  41.690000  24.700000  45.730000  ...  29.199117  29.199117        5.598422      5   27    21    17      40          4\n",
-       "2016-05-27 17:50:00      10  25.500000  46.990000  25.414000  43.036000  26.890000  41.290000  24.700000  45.790000  ...   6.322784   6.322784        6.040255      5   27    21    17      50          4\n",
-       "2016-05-27 18:00:00      10  25.500000  46.600000  25.264286  42.971429  26.823333  41.156667  24.700000  45.963333  ...  34.118851  34.118851        6.063785      5   27    21    18       0          4\n",
-       "\n",
-       "[19735 rows x 34 columns]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>DEWP</th>\n",
-       "      <th>TEMP</th>\n",
-       "      <th>PRES</th>\n",
-       "      <th>cbwd</th>\n",
-       "      <th>Iws</th>\n",
-       "      <th>Is</th>\n",
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-       "  </thead>\n",
-       "  <tbody>\n",
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-       "      <th>2010-01-02 00:00:00+08:00</th>\n",
-       "      <td>-16.0</td>\n",
-       "      <td>-4.0</td>\n",
-       "      <td>1020.0</td>\n",
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-       "      <td>1.79</td>\n",
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-       "      <th>2010-01-02 01:00:00+08:00</th>\n",
-       "      <td>-15.0</td>\n",
-       "      <td>-4.0</td>\n",
-       "      <td>1020.0</td>\n",
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-       "      <td>2.68</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <th>2010-01-02 02:00:00+08:00</th>\n",
-       "      <td>-11.0</td>\n",
-       "      <td>-5.0</td>\n",
-       "      <td>1021.0</td>\n",
-       "      <td>SE</td>\n",
-       "      <td>3.57</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <th>2010-01-02 03:00:00+08:00</th>\n",
-       "      <td>-7.0</td>\n",
-       "      <td>-5.0</td>\n",
-       "      <td>1022.0</td>\n",
-       "      <td>SE</td>\n",
-       "      <td>5.36</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>5.198497</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>53</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2010-01-02 04:00:00+08:00</th>\n",
-       "      <td>-7.0</td>\n",
-       "      <td>-5.0</td>\n",
-       "      <td>1022.0</td>\n",
-       "      <td>SE</td>\n",
-       "      <td>6.25</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>4.927254</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>53</td>\n",
-       "      <td>4</td>\n",
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-       "    <tr>\n",
-       "      <th>2014-12-31 19:00:00+08:00</th>\n",
-       "      <td>-23.0</td>\n",
-       "      <td>-2.0</td>\n",
-       "      <td>1034.0</td>\n",
-       "      <td>NW</td>\n",
-       "      <td>231.97</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>2.079443</td>\n",
-       "      <td>12</td>\n",
-       "      <td>31</td>\n",
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-       "      <td>19</td>\n",
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-       "      <td>2</td>\n",
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-       "    <tr>\n",
-       "      <th>2014-12-31 20:00:00+08:00</th>\n",
-       "      <td>-22.0</td>\n",
-       "      <td>-3.0</td>\n",
-       "      <td>1034.0</td>\n",
-       "      <td>NW</td>\n",
-       "      <td>237.78</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>2.302586</td>\n",
-       "      <td>12</td>\n",
-       "      <td>31</td>\n",
-       "      <td>1</td>\n",
-       "      <td>20</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
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-       "    <tr>\n",
-       "      <th>2014-12-31 21:00:00+08:00</th>\n",
-       "      <td>-22.0</td>\n",
-       "      <td>-3.0</td>\n",
-       "      <td>1034.0</td>\n",
-       "      <td>NW</td>\n",
-       "      <td>242.70</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>2.302586</td>\n",
-       "      <td>12</td>\n",
-       "      <td>31</td>\n",
-       "      <td>1</td>\n",
-       "      <td>21</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2014-12-31 22:00:00+08:00</th>\n",
-       "      <td>-22.0</td>\n",
-       "      <td>-4.0</td>\n",
-       "      <td>1034.0</td>\n",
-       "      <td>NW</td>\n",
-       "      <td>246.72</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>2.079443</td>\n",
-       "      <td>12</td>\n",
-       "      <td>31</td>\n",
-       "      <td>1</td>\n",
-       "      <td>22</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2014-12-31 23:00:00+08:00</th>\n",
-       "      <td>-21.0</td>\n",
-       "      <td>-3.0</td>\n",
-       "      <td>1034.0</td>\n",
-       "      <td>NW</td>\n",
-       "      <td>249.85</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>2.484907</td>\n",
-       "      <td>12</td>\n",
-       "      <td>31</td>\n",
-       "      <td>1</td>\n",
-       "      <td>23</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>43800 rows × 14 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                           DEWP  TEMP    PRES cbwd     Iws   Is   Ir  log_pm2.5  month  day  week  hour  minute  dayofweek\n",
-       "2010-01-02 00:00:00+08:00 -16.0  -4.0  1020.0   SE    1.79  0.0  0.0   4.859812      1    2    53     0       0          5\n",
-       "2010-01-02 01:00:00+08:00 -15.0  -4.0  1020.0   SE    2.68  0.0  0.0   4.997212      1    2    53     1       0          5\n",
-       "2010-01-02 02:00:00+08:00 -11.0  -5.0  1021.0   SE    3.57  0.0  0.0   5.068904      1    2    53     2       0          5\n",
-       "2010-01-02 03:00:00+08:00  -7.0  -5.0  1022.0   SE    5.36  1.0  0.0   5.198497      1    2    53     3       0          5\n",
-       "2010-01-02 04:00:00+08:00  -7.0  -5.0  1022.0   SE    6.25  2.0  0.0   4.927254      1    2    53     4       0          5\n",
-       "...                         ...   ...     ...  ...     ...  ...  ...        ...    ...  ...   ...   ...     ...        ...\n",
-       "2014-12-31 19:00:00+08:00 -23.0  -2.0  1034.0   NW  231.97  0.0  0.0   2.079443     12   31     1    19       0          2\n",
-       "2014-12-31 20:00:00+08:00 -22.0  -3.0  1034.0   NW  237.78  0.0  0.0   2.302586     12   31     1    20       0          2\n",
-       "2014-12-31 21:00:00+08:00 -22.0  -3.0  1034.0   NW  242.70  0.0  0.0   2.302586     12   31     1    21       0          2\n",
-       "2014-12-31 22:00:00+08:00 -22.0  -4.0  1034.0   NW  246.72  0.0  0.0   2.079443     12   31     1    22       0          2\n",
-       "2014-12-31 23:00:00+08:00 -21.0  -3.0  1034.0   NW  249.85  0.0  0.0   2.484907     12   31     1    23       0          2\n",
-       "\n",
-       "[43800 rows x 14 columns]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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hi5SzltOgf4W6elJBvlSDezPsUxDq3XHqRfQLdAsFjQ3XUj4ketrv4tR128sv+qXz8+5JXaGeh8WpHVBQOEpzhD63l68Ac/dXI1nKrYnlbVnAwqip7j44NeiSLv40B63MLSC+tvbJzO3NRe0X9z7ZoyDUu5zROdAv7jY1wlwPBj9T3wp1bfrBvZ7yoBpa2pp6cy60svlfwEng/g6nVAp6dcach/Pc/bVdf/emzO2ZOdDU3etYR1Pv/JzHQeTu736FcOW5CCWOQt8K9e5wO43iTZ2fNdrrbV9XqM999IvuAs7DKWZcjhEVTT1np5h2mOTcZJS6NF9liiuPCBj3NExOK+y7ObgyMAqHhlBX0dTzjfRwr1eNsgbuMedFjXRrJbrPyMca6vysXSYgb0epBtyH2twkpOnSnhpRbD3tuxaFhqbe7WcqNHVVuBeXhsBxfz15bAhn8ZYE9ipr6nk5bPKM085DSJouoa7Ln+Yxx/plbF1tz0H0i0q+hbvPeYQ0utqcUNl37p8Loa6KvDLbrPby409HB6pMz7YyCx3t7Ek/tJS1MjfyjiZZCHHq2jJsLjh1fV+Wy1GaS9Zu52cVTr1wlOYH7QXcHemRn6Y+2qgC2SkYtyaWG/2S4wLWvswaOtZWrVJSin7Jl5LzanpZNb+5iX7p/KxhITdz59R1o1+65E5Bv+jCKC8uk7OmbuwmRwcqQHZnqTPkSklyE+p5xqnnoak732G9XFLpb5fmn8Mh5OXUs66Juar9onnXbt7OXWdKyiVRWRNzUXMpCn0r1LWrrxnTuZ80nzh1q49DNUuoZ60G6Wjqg7VybpltTWMo23OifXDkSWfUqzpCPW+/hVd32JsxQ3Ouol9qFUusaFBy3fRL5uZ64Oy7eqWk0t8u67WIftGF82VVSqJ2H6XmYvVrH2g/I+umcw6ywVol1+iXek5zkmc0Sb1SVtPUnfHPhaM0a1KaIyCrZcmVU6+VnTWsYSG72s4jzNVuslYp6YQ+F3Hq+cGZztGBqkpmmzG4hHp+jlJnQ2TddM2WZQbXq6Xcim0ZA41qGVgo9Iv1Wq+UmFZKCa9X9ASYF9r0i9NctVzKrRZ8y7VPtAMU8phjJ8yzVtZaE52fi5uPlGGMQQTGBqrsUYj7bpmOBpLHCdzRonSExGzLUCmVqCs5Bf3Qrakf/I5StzU0o3BozLYM9fahlm8MNWQv9Oa2XvOsB1QuCSXR2ScG2hx9PnNsvdarSpp6l5wo6BdVGAMlEUYblQWlqVeV6Iymvblqlfw09aYxLk394A9pdGDxpzqmtnOo5ZO70P171me4o3/y5NTLIlTKJTVN3fEz5XrQKznPmy2jaqmkQd8KdccLPzpQValBYZgbTr1attSSzJx601ApiWVW5hj9slA1dY2Drmksy0okH2rAuwayatctlzWYZzlmEbGsAZWoMxioWYrDZK5hrmU1R2ktx4M+DvpYqIMgNKplpeprbr47P/60rnTKN1stSiWhXsk3+qVWKVESfaGeD8VlvdYrZZWDrmX7LSolYSbnYlOQfU04/71Sltw0dWOgVLJCBLWSj4bq+Wnqxk3JKVlvFYd+KqJfdGGwOPVKSZQuGOhopXlovm4nFmTX/Jxww1olR03dpriqZX2KJ5+KfNarFv3iUFyVkg4f64Wzbv/ispMAhYPOrannpEUaY9prQitOfdDR1Kfzoz3rStZLe02UdUIk06B/hboBEU2NQder74XbNAYF/tRYDqZapZRjmQBLU62VS8woZ9nmEePbjnRQjEkuOVRDzocQZLeG3BFWeWaUCs6+03E8DuZJv7hzF5RuwyqJUC+XFtbNRyIyLiJfF5EHROR+ETlfRBaLyA9E5GH7dZF2Z5PAuDaczv2OhnrFWlz5aGXWa0dT1zC183WUtpw5Lutk47mRZ/agpqPU0sokF83XmQMtZaId/VLOL/rFilYRqiWdOTHGyrWAfIS621GqsU+cNVGvlnO7oD4KaTX1/w183xhzInA6cD9wNXCTMeY44Cb793mDQw2UlBZXy3ScmBrxrL3tO4vLzlrNLNTsOPUcQxqdCKOqUuSAG3mGjWrxpw7FpRXp4YW7v5BdqLspvlzrqQuUlRKcjEtTn1IouNXTvv1aqyjRL8ayUhrVUi6lI+IgsVAXkVHg+cBnAYwx08aYXcDLgS/aH/si8AqdLqZDyxgEPU7d4HCFOl79nvaV49RbLYt+quesqYuQC6eeS30dl6NUq0pjSTHSw699gFpZx0J09kFDafy+sA96ragrQ87RL66Ds9kymZOyHEqyUS2rXBKSBmk09WcB24DPi8gvReRfRGQIWGGM2Qxgvy73+88i8iYRWSsia7dt25a641HocOpK8bIt7FAtfa0UXHynUjiUcwjlGdLozLEWR+1Gnhy1mqZuRzpUckq7d9LitWLhnUNtdKCicg+uHxxlarheUbnBy0nmqZVLudMvkN2X4zhKLU194dAvFeA5wD8aY84E9pOAajHGfMYYc7Yx5uxly5aleHzs57TjZXW88HY0TVlyjlPX49QFqFfzC2nUtF6819flccuN4yhVK97UMpSc6JccfQDt/IiMAscZ/2ijyp6MxcECn2Fr6kP1SuYMWLDXsUCjWmIyD/rF5SgFhaQ/28/UqCwsTX0jsNEY83P7969jCfktIrISwH7dqtPFdLAcNha/pcUftiM98tDU7Sarivyp2Jr6gdlWLnd+OhtOg1P3di+fuG/rtV4p02wZhYPTzp7MmX5p15fJKHCc4Y4NVNl3YDaX+i+O8qOlqTvreKCmk2/iRSciSIfiMsbR1BeQo9QY8zTwpIicYP/pEuA+4FvAVfbfrgKuV+lhSjiRGVpC3R3pked1djWljFKn9s1ArYwxed2ralxx6jqRGQ5yuW7N8QFUdEoo5x2T3IlWcTR1nTkeG6hiDOxTuGjZC4MlhPWEukXnDFTL+dIvTg6KwpooiUW/5HEIxUEl5f/7E+CrIlIDHgXegHVAfE1E3gg8AbxSp4vp4GiRWsWLnPbyChH0Jh9l1nyx+jtQdRI3mu2QTC24456zxvh6xVVenLrg4k+brXbtmjRoGmz6RXKt0lgu6VgDHU69c7uWc9OWFhwhrEW/OCGSjWo5F/rFWXhavixnTdSVMtnTIJVQN8bcDZzt89YlmXqjCMds09LUHY4+r7R7fU7d0hiccLCJ6Sbjg9n66IWz4Srl7Lcr9aTE58SpO5YFZOdPWy1DWcjNUeqcEyWlZzgU3EjDuYglB03dWGUCGlWdpDenhtNALV9NXS3By14TjcoCol8WChyNQU+o4zKr8tPKtCpB2uHC7XCwrDcp+T/D5Map51UmwOkvZC/30I50qOSjlTkzIAjVUvbUfmdKnVoq+w/kIyQFvdyFVstSphqVfDT13qzdjJp6O/logWWULgQ4QrhcElom+03kTqhWXhvYvbhKkj0m19Gi3fSLNtzJR1k5da9QzytOXexoHdBIu+9YQ3kdmmAfRJUS082Ma8Ke4xFHqOegqVtJf7T9DFkd9A6NmBvtibIyRecQKjR1ZThmm3OvaNarsJzFqlX10Qvj4k8Ha5XMxYuczL68U6yt+jLCdEatxNlc737piSwfqeeWUSroOsXKJaGREzXQ1tRt34jKmqCjqU/koKk7jlLH4a8RxVWS/ArTuf1CkJ32c/w28+ko7WOh7nDqOhy1w8fmR79YryU7fGtyJqMWZTptQT78qVNfZrRRzZzM4h5/XvW+HeulpuSMbhorTn0wJydeW1NHJ5rCeIR6Hpq6Q8lVlOa45TqIc8mMVo5+oR1XX2a2Zebl9qO+Feru0rug4Hi0M0rzdpSKoGLOO5uhU7Y0H6FTEhgbrLJrciaTqe0efzmnuG+Ln9Xj1J2DczAvTd2eTlFyFDq5G0P1PP0sqDqjjRNNklNmtDt3AXToF0f5A5jK8QavIPSvULdPzFJJywy0BEI9Z0epw4Nn3XDO5nI49bw2sAiMD9SYnm1lmpeOAJPcsnbd4XFA5u+x7WfJi1O3X53vMevB7PgAOo7SPKw3W7NW9Fu0NfVchHq3pq5CvwiuNTb3FEwfC/VOsSXQoF86nHoemrpx0Q8a2XNOZl87pDEXztea4/FBK9Z558R0+rbaVIPlyNubo8AZqFnLXkPzFYHBaoXp2Za6deG2XhoKyTeOwBnM+aAv2XeUgs69qiL5lZDuKcWgkFEqWI5SyPeu3SD0rVB3Su+WtegXd02HHDX1ckknxdrZDAM5li1tC4ladq2kc6jBSKPK3hxqkziWxUDVdh5n5JQdATY6YLWnXSSrbb1gzXF2Tt2xhErUK6Wcol8sT6FaEp3pXMSSp6besIV6ViHsHPROLZlCU1eE22wDMmvX7sJC+XDq1quIMDZQZfdENqHmRHo40S/5xanr8KcdrVRyqyLo9FerlKuzxhYP1QDYkcFS8UNP9IuCo9TWcdQyPnuegXUwd+4eyH5bUzukMcdrJEfszNqsypQToFHQLznAOTGHlRItHC2nbt86rp0c4+bUFw/VMgsIJ7PPuad0Ims0TcAzBB2trMMfw0g9J02dbstCw2+BwPigJdR37lcW6q6DbqCmw6kLlrAdrJXzCWl0JR+BRrlg0w5pnFWod97TvlO5sm1tZVx3jp9FyW+TBv0r1G2tzHEK7TuQXfMt2Zo66J/Api3UYdFgjd2TM5k4WvcG1nCy+cFxPGpoZe0yASKMNPLR1NsUmmJCVkmERbZPYYe6ULdeHSGRXVOno6nXdApu+T6j1Ik607hXVTO3wK996NTD2TOpQXu66JxCU9eDs4CH20JdR8vJy6zq1PkQRp0qehk2nWMGg06IpB8cZ2zbyZTFPPZw6hPTTfUSx45loRXm2Xa8VvNxijlapKhFv1jrC2B8sMqujBSf/zNsTV3B8ei2VJzcAu05dl+SMVAtZ9bUHT9L3ZET81AqoG+FuqOVtYV6Rs2vE/2ST/xpd6RD9gXcclQG8iuG1M72K2fXoto+BTqOx6zfmReO87haLlEpiYrm6457z+MQAmvdDdjJLFme4TgxAZYM19i+/4BCL7vRTutXEMLuiLC2pq59cLpyAYYb2a2Xdphr26Iv6Bc1OEJiuKETk9suLORoZdqaumsBO+FQ2aJJTJemnk8xJKMm1Byt1NHUIY9oEuOccwwoWC/tqo9K4XBeuA86Leeuo6kvHqqp00XQcRQOKmQyuxUdDcXBDx3aU6z7fLNGvzgBFQp7OC36Vqg7WuSwHf2RNe7Z+bLqlXwcIF2LS0FTdyllDFYruZVZdTvFpmezRL9YryWbUwfUr1xzc8oDCjV8OlUfHZ+CshPPE6cO2UJTW66DfnygljkL2Bf2MzRoT7fzPC9NvXNwWs/QCWnUS3BLgz4W6pZW5qREZ9XUHaego4FoO5laLlPbOTiyXFzraJFgZTzmWSagpnCTUMu1uxyhrq2pe6M/NOgXcNWSUefUOxhU0NRbdvAAWNVAjdG/jMRxbGpkrbrDXLWSg7zoonjKCkK9h34pNHU1dK6fK9GollS4spLA4YsGANi4c0Kjm13tg3PKZ4+tt2rVWD8PKpQd8H1GDpyyu7SBtpPJrak3VObE2DHZeQkc23oruUooZ0zwcsavYQ36PgO9UgRuvrumVa/HAzfFU1fIWm3TL4WjVB/u6I/helXHASLCaluoP7ljMmMPe9uHbk09Uy0VOlpZbgWnem4Syh7SaKXx55MF6/C9oJOhmceh5kZXSKNCxI57/B1rUD+KS0QYqjkWskaWsbiSCPOxhtqlCBRKSDv8PBT0iyrc0R/D9XL26BcXp17PIZnHvYDrClmwjhkMqCSuBD7DXfUwA6fcHn8JFa3U9xkoO0rbiTY5cer2q5NRClk1ddNeE/nFfXdK7zaq2UoRuA/6/KJfOn4GjaxVZ0+IvY/n4/ajvhXq7i9ruJE9JdpxvILtUFE+gd0ZpQ2NuGdXfzWqPvo+wnTTRVlqqXQ2sA7V4AfnYAYYbVTZPZkxJhnLsnLiqPPkewcU8iPca7itOOSgSXYs5Gwhgh1HaUfRyecQsvd1WYN+6fhtGtVyLvMbhT4W6p0FPFTLXvWv5dJy6pVybpltDrcH2TawozFBh35RT7G252S4XqFckkxC0q2ValANvs8wHefxYWMNNu+azFYDvtURCNWyqDtK/SipLLcfuaNf6jlVEXQ7o7PWl+kOabT6m0ecuntOMoc00lEc5uv2o74V6m4hPKKhqdOt5eSmqZeUQhpxaep2WKe649F+hlOELEuGojt7MK8YXzcltWpsgP3TTfZkoOXcx0G1koOm7vzgol+yxX13OPU8k3nsy8YYqmXbd8bumjv6JY+QRvec6MSpd/wWhVBXRJemrlDKtuXl3nJLgtBxYnk1ddDXfLvjnq3bj9LCnT1ZLVslk/U59c6aGBtQqMrnWmMal2/3tt9LyWWiX1w+BQ2/jR/cmnp2+qWzJ5zQZO1Cb14/Q3ah3mkvr6svo9C3Qt2dEj1cr6g4SunS1HPMKFUoReDWGAaUqhJ64aYfxgar7Mkg1N3Zk51aJzlYQ56QPi2Kq1EtqSd4uRNjOvkRypx6DtEkzpwM1cuZol/c418x2qAksGn3VOY+uuE+6Ifr2QvJuaPuNMolp0HfCvXukMaMGoNLi4Z8NHWnlG9X3YxM18N1NAaNxBXfZ9DZwONZ6Re657hRLevH+HYJNQ3Nt0PnLB6ssVO5QJabkhqslVk+UufBp/ekbq/7EMqH4nIrE1k5dXecfrVcYvlIg027lEOJWx1rc+VYg70HZjNlMrsdr+ODNXYp19iPg/4V6i6n2HC9woHZVmrO061FQz6curtMQMUuOJXFNHYfap3yw/phmI6pPT5YY9dk+gXccvGnYF05px+n3m0aQ8ZcANO5A3fxUE2/nrr9KljzcuzyYZ7cmV6oeSlJyGNNGDVlyn1xDFiUmTb94ubUV41bOSibd6W3BtzlOZaN1Nm2V79oWhT6Vqg78aKQPWXZHYUA+Wjq3oOjUc12bZ5bYxip53XdWmcDZ3WUuiMdwCqIlEdIo3t+QcFvYf+8KIcCWcazJrLWq3Fr6lqXx/Q+o7NPtDT19kFcKzOprUy5/AyOUN+0O9vB6ey7pcN1tu07oF9fJwJ9K9S7NPWMtUQ6iTH5ebVbHoona+KCO1SrfVWXei2VjhC2tKjZzDdCdSJ29IW6W6i1w0YzWkO4xq9dgKxzcYj1Yl16rlPkTasmUs8zXDWHhuoV9k+nD6V1x6mDVe4i672yPc9wR0SNNwAyUTzuSqCLBqvMNE0uOSJh6Fuh7l5Hba0k5YLwapGLh2ps36erlXlNzXrGinEtl8RxDrWstz954d7A44POzTHpnuG1hho53NZk+QC6NfVM0Qku+mmoVmFiupmLVuY+iLJGv7hzNyCHwnQtXAEKtoM+ZZ+9+y6vg95R1paPWEJ96570lInbz9LZd/oVUsPQt0Ld69WG9JpqR2GyubexBlv2TqnGJXudsUP1Cs/sy7C4PNwm5FH1kPYKdoR62rBGd5kA0CmN2/sM03VoQNZSDK6a9fUyzZZRjSbx0i/1jJp6q9Vpq1SynK95XD7t5e3TPsMd5gr5lLtwU3LOfb6ZrDfjI3cKoa4D783pkH5yvZEZK8YaGEMmoeuFu0wAwLlHL+YXj+1I3Z47JX6kXqFaFrZrX4rgWsDjA9bly2m9/e4yAZBPaQP3nAxqFJzC5bexNV/NPnutl6yaupt+AitiSTtipzvpz7nsJKP15vIp5JFr4ZoSS5nIWLPe67fQpj2jkFqoi0hZRH4pIjfYvy8WkR+IyMP26yK9biZHl6MwoxnkdWLm4WTyPmPZSJ39083UHLXb1C6VhOUjDbYox/i6N8RYVk3dfnVz9Flrs/g9w5t8lKm0gSvRpnNI6G1g75xk5tTpCEiw1pimYgLdmuq4PcdpHegel4J1124uYbmdOcmaMOQ+6Beipv424H7X71cDNxljjgNusn+fN7gdhWrRLz2RA3pfVtAzshxEbq1sxWidzTkmbow2snHqxqOVLR62okk0OWpvnPZAtZwpDNEvbDRLVcKe9j20n3PdWmrHo8t6BTs6QznkzuKorZ+zHpxe+mnFaINdEzOqDmnvnGTNj3BHv4xk3BNpkUqoi8hq4DLgX1x/fjnwRfvnLwKvyNSzjOhyFGbklI0nhnqwlt8G1uLjjMtSAcu5q635ujnlUa0II7u9JUM1ZluGPZO6c+yek0WD2egHd5ax41PQFJIO7edNGEqrrXsP+sVDNXYqJ8e4913bz5Jyjjv1kKzfT1o5AsBDT+/N1MeuZ7S656RRyUbxuP02S0csSnKbsjUUhbSa+j8A7wLcq2uFMWYzgP26PFvXsqGLU8/In3o59Vzol5bnGRkvzHaHaoGlNezVjn5xCbWsYaMtj1a6ZNjaEJo33nv507HBGrtTJkx5Y6iPXTYMwCNb92XoofcZ1qsjdJbac7I5ZRy1O8wXdGoi+TylK3cB0lNyXj/L4eODAKoWp5umBJt+yUxxWT8vGapTkmzRNGmQWKiLyOXAVmPMnWkeKCJvEpG1IrJ227ZtaZqIBTe317nSLu3isl7b8bL17BXzop6R2bpwteW0pxn94o3WGaiWKZcktVPM297ioTqAunPXbWoPZ6hN4rWslo3UqZaFpxU3sPEItWOXWwfH+pQHR8tjqQzVy+phmG5rYKRRRSQD/WK/Ou2tGLXWxFZFa6hl8Aj1bFFX7oOzXBKW5EBxRSGNpn4BcIWIbACuA14oIl8BtojISgD7davffzbGfMYYc7Yx5uxly5al7HY0vJ7+ZSN1nkqZVODlu50MTU2uTJu3945/pGEJda0N7NWsRYSRRnrNzxunv2TI1tQV8wFaHkpqsFZJfTB7vy8RYbShm8bupaSWjVhCLQud4bZUhuqVHMIwu4XaaKPK7pQUj9fPMjZQpVYusXWvnqbe8uyHoYzF/1oeC3k0w55Ii8RC3RjzbmPMamPMGuDVwI+MMb8HfAu4yv7YVcD1ar1MAa+metrhY9y3KV0xJOMVOMN1KiVRrRjnZKKJh85Iz6l3j3+kUaXZMmrJG17N2npGemvAeIRkHvSL23kO1sG5PyV/2tYiXX/LMn4/eA86jWgK9/idMExdh3/3nGSJYvIeam3FQTNE0HQ4e4DViwZ4cudEauXH68sablQzX9CTFJpx6h8EXiQiDwMvsn+fN7jLrILlFEp7IYJXgJVLwsrxBk9lKK7khdcMzJrx59XKtDVf901NDkbq6TVVb0q4E/eu6Sh11/oGO0Qua2JMqfvgVI3McByl9u+D7Vj49GuiJN3jB13fkFeojWdwRnspScheT6b3Gd1zcuTiQfZOzWamjByM1CvsUy4fEYVMQt0Yc4sx5nL75+3GmEuMMcfZr+kzZzTgIyTTUxnWq1sgLB2uq0YOuCNJwBVbnyGapCsmuc1H6lgXncgMt1ZSSX1w9hT0qpYol0Q37tsT/TGUQVP3mu2gr6l7HaW1SolauZS6pro30mP5qJUWv2H7/izd7IJ3jscyXJ7iTb6C7JUfe5/R3f74oKVMpI4UM72+rIOeflko8ArJgZqVuJEmmccb/QL6jsdeJ1bW6JduTn25zcdqeeK9Agcs/lArpFFE1DdEr1Avs+/AbKa7W3v9FpqauvOMbudm6jVBtxZ99lGLAPj1U7tT97H3Gd1CbdFgLQOnbr1KjkLSL6AAMlrIbjmhfNDHQR8L9e4TeCiD6epnBmZxCvrBmwRRtSN20prz7sQYsOgnSB9e1tO+75ykp186mm+OETue8LXlIw2aLcOOFEInePy6a8ItIMCiYLJYnO41MVgrUymJsuZrPJpvFvql23oDS0hq9xePsgZZwp+75c6iwap6El0U+laoezfwQIZ7Olsd/qUNjSvyup7h4fbAyqDbklKz9vLHWetw+LUPvY7S9PV1CGhPM8KoW0AcNmbRD2kuRfCjBvKgXzwynUVD1VSHkNVe95oQEYYVLmXvfka3n2F8sMaeqZlMJZl7OXXFUgFemrbuXBuY3rnrHv/ykQYHZltz6iztW6HuLgEKHadQloJL3WZaVZ3b8wr1w0YbGRJNur36g9UyInqVGr2JIZAtbNIbvua0p5kF602+WekI9RRz7I2hBuvg3Hcge035zjN6D/qlw+nrtXjXBFgWbK6a+kAVY9KF//opDvq0Z4AvK63fwjP+Zcq0Zxz0rVCHbiHppCynSWbxXVy2VpqFj/U+w2tqWwWX0lY9BPepViqJ6obwE2rD9fRhk15OHSzKSPM2Ie9X5WjqT+9Jrqm7rx90MKpcP9trWYAt1Pemr4TpPSSGlaNJrIxKF6c+lD6r1C/CajiDT8H/Gd3Wi5P0tjXFmgDwbDsWDTmO17m7q7Rvhbr3BF6zZAiADc8k9/T7h+/p1n/xxpVDVt6+e/yAnRyj1F9PPRzoaDlpnuEXYbRkuK6afOR1ii0dsrJAN6WiX3r/1hm/nt9CPATMkqFaavrFr89DGbJq/eD1AzihqWkixfyst+F6lcmZJrNKdxl4neeLh2osHa7zYNr6Mj7RL6B/l0EY+lqouzfE4YvsS2XTmNo+Wpn2rSbeQwiyh2F6tTxLU1cSOD4RQVmEmjf5CGCpLcDU6AyPwCmVhLGBWjpntE9kRsdvoWUN9ZLqI40K07OtVJd7eA810K//4k3w6hT1SmMhW69+nHfaUFS/Z3jn5MTDRnhwSzqh7qVfRhr6daKi0LdC3csf1iuWpz8Np+7N7AP9AvgtYyiXejfcRMqa6l7+GHQjdnx8x53yuxk09S46w+ZjtfrsZw0N1EqpLkXwO9RGlYU6HgEJ2Q4Ob4QV5BH33b3uspTf9RZNg+x3I/g9w6v8HLt8OHV9HYt+6vzeCZGcuwSkvhXqXk4Z7JtTUvG9PkkQ9uJKm2zjhTdOHbLdreoN6QTdmNm29dKVUZn+oPPT1LPG6nvh1aIg/ZrwO9Sc8WvVBPJam+5npKO4TM8a08/Q7C0TAOkyg71ZxqC/Jvysl+F6JXU9HL9KmFDQLyrw00rS3nHot7i0nWJ+/c2ygL3p2pAtjtwLP6GWpfyu3xxr3xzj5U9B4aD38ykoaWV+/c0SmuqlRkBXU/ebk9EMmroThOCn+WpGcXnnpFwSmi2TKorLe6jNx+1H/SvU8TO109176R9aZS1WNfql5aMxZKip7i8QFDewT5mALALHN9FEW6jTaw01Ut6F6h9Xr82p966JLJeR+FmDToaqRnKMX5ZxtVxisFZOZb34R1hpW2/0bJSK/aXOpvXluNor2xd8z+U9pX0r1P1CBFOb2u1Ij87fOo5SPVO71wx0EiF0nGIj9fS1WXra94sIyqKp+4Q0qpvaPvTLYC1d/eyWzwRkGX/QM7z9zaap97Y3XK/SMmS6l7Pdvv3q58tJ44z2XsYO+gEKfhZyuWz9Iakvy69yKcx9/Ze+Fer+TrG09ItfaJX2Bu7VrLOURvUXCOkjJ7zwS5MfrlXsBKf0G9hbJgD0rCHNNdGOfnH9qVEtUyunL+3Q8whvzjku3j7lwRmsOGSfY78sW0hfOM34zHHW6qV+z/DOSVpN3S8sF2xfViHUs8NPUx+up5tcXwGmzvf2aupDGZ4RxsdqCEk/SqpUEoZr2awBb/Yg6IaNatVSCdNKNZ1iXgGZJcLGfSm0A03N168cMaQvcexf3lg/6sw7x2V7kprNdJp6z75TLikShb4V6n6JG8tG6mxLkSnmp4Foc2V+Dpss/GFQ9iDoWBd+ZQIgfcGlDqfuE5OcY6TD4qEa21MUXPLzAYCuUDfG9AjI4Qy5AH7RNJoXZfiVIwbnhqn0FFeXpq5OyfWuiWrZ0dSTUVJ+fhbQL0IWhT4W6r1CcsVog237DiRO7e9oDN1/1+TK/JIgMkW/QKDpriF0/Dh15xlpIzOgtxQDaCaa9MZ5LhmqcWC2lfgZftQA2BtYMcKoV4tMr0z4+AQzXxjuh551nDJAoeMo7bRXLZeoV0qq1pt3kp18kaScup9iAlb54e0p6/WkQd8KdT+OesVInZmmSZyyHPRlaXJlQXQRkO4ZfvypYshdR6j7hU3qlAmoV8pUy6KczNPd3yXD9gXXCTddEP0yWK3oXRlIb1gq2Jpvyvo6QdabpqbeQ3HVKylzLfJ3PBqf9tNy6kHG3mGjDZ7eMzVn5Xf7Vqj7VbhzbnpJWs7WLyYbdLkyvw2X5fYfP67QMbVTOQY98MuohPT0QxAfqZkc4zcnzl2oSQun+ZVjhgyOVx/4KJGARUul4ajDFAdVTt0r1KtlJtJEcIUoU3n6stqcesqQRu8cHzbWYGqmpXo1Yxj6Vqj7xeSusK9025L4Srfe0CrQXVx+HLiIMFRLV3DJjz/WrJvhV+TMekY6rSzIyZal/k3PM+gVOM7drWmrQfqFSGYp7+xGy/TOB1ihuWmjSYI0dd3ol14aMc3lNEGHhOaa8LPo00e/+MuJFaPpq4GmQd8Kdb+aDkvbpnZS+sV69dsQql54H7UsrakZFOkBpL5s2Q2/Imdg86cpDqGgcLgRdYpLiX4JWBNpE9z8n9HrFwJLSKa67MVPU9eMfrFfe9edNSfJndHWq58ypeqM7tHUrd/XbdqdsC3r1fudZSnxnAZ9LNT9uThIzh/6pSuDtbk00+69i8t5RvqM0oBIB0VN3YvBWkpN3X71cxZrRjp4p3ixfdFw0jr7Qfxx2gS3oGf4rYnBWjm1NeTVogeqZUqiw6n7lWMG6zucbRmmE5bLDYqmGU5pDfo/o7e/jqb+lmt/mbCtAE19xKF9C6GeCb7hWylNzd60GAvDGW6j73mGTwwxpCuN6leADNxX+mlsiABNvZ5WK8ufU/cTao1qiUoKv0Wgo7RWTkU1+MEv+qX9jJQctVfRERFbOdHQ1P39LO1bxxL2Ocga0rSQ/bJs/SzmOPCr5goda0jDQo6DvhXqfvxpvZJuA7dPYJ/SuFp1M4I09TQ30wRthlqlRLUsuXPqzZZJXOUuMERSueCUn1BL4xsJOoTGB2tMzbRSlR7we4Zf9MtQrcLETLoII781pjXHQQEFjlBPql2HOc/TXjfX8wx65USWCo34tNc+1JQsuCj0pVA3xvjSD45WklzztV79NIY0ZqUfgjZwGsdbkMCx2quoaAxBpmbaZJaOddGr+ed5PRyk0/yCfAptp9huBVPb9OZGgM3bp/Rb+I0/rSPTr33wyyhNF3UVlrWbZ82ltEI9yAdQr5QQ0Yk6i4M+FerWq5bjMShedsjRQBS0hpaPDwDS9Tcosw3SJ4L0PCMofC3lBd9Bfda8Pd4vzBXSlY8I2sArFZ1iQZx66ggjehUdsOPIFeY4KHchbdRV8L6rMDXTUrnSrtXqlRPphbq/MmVFsemt4yj0p1C3X7XojCCubFAxccPPCw+d24+SIChZCqw+awh1vwJc4MqCTSh0Os5oj1ZmCzCNC76DNPWRRnJNPUjgaGrqQXTJQLXM1EwrVRXB4INeLyKql35JxykHUXydktQa+Ra9a+5ASpok6FADO38hBWWWBn0p1IPC4yDdRbtBG9i5fFqrlorfhhtMQT+EWSppIyeCnqF1sUeYpm6MDh/pR8lBSustINJDM3wtmC6xHd4J5yToUBtU0iIDI5hSRl0FJh85lSWVDiLvmnvJKYelbgv8LWTN/IUo9KVQD0pkgWzRJN7FunTEinHeplDXwTIDfQROzSqXO5PA1OzUJdHh6EOf4ROnDsm1qKCypZoFnPwiHQCGG1U1Sm64XmG4XlEJX/NLFoL0mm+wNaijqQeGebYpuZTKiefvmhfU+EXJHbF4kNeff1T70uz4bVmvQdZVIdQzIMxRmEUr6yk74Aj1vQpCPVBTdzZw/AURFFoGduSEhoYTGL5m9zdtpINnRWpeNOyXZQs2p57YUWq9+rU3NpCu/o0XQWtiKGUN9CA6x8otyM/P4vQ3uZ8lOGwW9EobBIUSp46SC3BGF47SDAjTVLN8Wd79sMwW6lsTlx3oRZBWlsbUDOIiQc8pFsh31tPxnUFCsn0pgpZWFsSpJ4ym6ER69L6nFUftp0WCO8IoHY3Y215Zt6CXp8+DKSOigpQpzYM+aI6H6xVmmobpBE7TUF+WEu0ZB/0p1EM01XTRL9jt9S7W4XpFUVP3P4Qg2YYIoovAOiR0NBz/BTxYT2dqh92aA1r0i7+fZbhuRVMkobjCNvBQXc9vEWRtQgqhFpK1PDHdzOyMDvLlDKam5ILj1K32dKy3IN9T0mcE0UVgZxofrJq6iBwhIjeLyP0isk5E3mb/fbGI/EBEHrZfF+l3Nx7CNFUn+iVJwpAJ0cqWj9TZqiTUfZ1iKbScsL2ZJvon7Bk9Qrh93ZheTLLVnhKnHkC/QLo5DuLodeiXYCEMKTTfCDona3mDID+LUwM9MSWH01733zWvOQxynqfJPg+j5NJEsaVFGk19FniHMeYk4LnAm0XkZOBq4CZjzHHATfbv84IwTXWoXqFlki3gICceWM5SHU09agMnWBAxFlfasqLeh/iVCy5JBk09SCvLU/NNcVFElDWkFuYawPdCirDRkOiXNO15EWYhpynMFhz9oku/lEOsoSSCOIyS0yz0FoXEQt0Ys9kYc5f9817gfuBw4OXAF+2PfRF4hVIfEyNcU03uZAlbrKNKFeOCYogdMzBJf6McxZB9AwdRUmkTLYJM97ZTTKU2SXCaPCRdExaCHK9aAieofUhTwyg4+gWS12bxIsxCHkrhZ+issd62QE+oBxVNS/qMoCxrsGvKLwROXUTWAGcCPwdWGGM2gyX4geWZe5cSDjdYDghphGSab1DyEejSGWEbOMmCiBI4kJ2PDKpcCRavnjr6xWMNjTjhayrO3aCQxuRCwhl/UKSDjqM0mLOHNPRLkBNPSVMPtV70ahg5dI7KvgsKJU6x78LkhJ6FHI3UQl1EhoF/B95ujNmT4P+9SUTWisjabdu2pX18KJwTM1yopzG1e9/TqiIYWPslxQYO09SHlPjIIL4T7EsMUt756Z1jh87RmmO/3IU0HG3YBh6pV9g3nb3QWyAHntZvEeG3yUoPRPlykpdiCE4i1Kqz3zKGso8UTBOxE5RRCx3f0FxEwKQS6iJSxRLoXzXGfMP+8xYRWWm/vxLY6vd/jTGfMcacbYw5e9myZWkeH4moDQd6ZpWeqR0crQPJsvHC0pW1+Mig8DVIV2c+6DtLW4Qt6Bm+9Ev77ladg364YWfBZhSSQdE6Jfvy6TSab1DWMmgcnMH7JE0phk6Agk5osh+iKa4k+SEWQteY4gXfQUgT/SLAZ4H7jTEfcb31LeAq++ergOuzdy8dopIAIKFWFhAv67R3YDZ7caGgbL+BahlJqKmGaQxqdTMCNGuA0YEUyTxhTjYtod7y13zTZCi2+d4QazBrn4M4cOcZ6aJf9OLee9u3XoMsxKRaarMVoUwpCMhmAP0ylCI0N0zuaGbBRiGNpn4B8DrghSJyt/3vt4APAi8SkYeBF9m/zwva9EtYNEmKLyuMzsi+IfwjHRzHo5YTr2O6ZytdGm4NVdU0ddDVyvwouQ6nHr/P4RtYyRpq+X+HzjPS5Fv4tZa23nlv+7pC2FkTQftYK8zVj35x9nUS5SSoHhC4NXWdksFhqCT9D8aYn+C/NgAuydYdHYTVYEiz4cJqybgzPscS1opwI8iJBU4RMt3ol6yOx8jwtaQbOECLBp0NbIwJdhTa1lAyTT04+UgrjjoodwGSr4mg8EBwOQUzz7H1GkRJpebUfYTuSL2Sa3njRrVMrVxKJtQjKDlIRvGlRV9mlIZFZqSJHIhD52hEkwRpZSMJk1miNhco9DfE1E7aX4CZZouqn8qEjt/ChGh9pZIwXEsmdMISTbQijIJKRwCJw0bD+juYst65F0HlmKFTmC5N2n2Qpq5hvTVD9p11wXV8zTpsjkcPZk59ISA0+iVF5ECY5q/FnwZFOoC1IPYkWFzhTkydYkhhmt/ogCWEk4RvzTQNtRChnnUDN0MOZrA2cBpNPU+tLIiSg+QHXZj1Viunu+bRC21lohniy0pzBaEfwg7OkYTPCLeQD25O/aBHmIOlVBKGauWUpnbve2px3yGLazRh1b+gRB6AeqVMtSxqmq9/+FbyBTzTbFHxS+1D5/ajoKvWHCQXktZrKMWnQL+EOkpT5S70viciqSiznmcoR11FFk1Ti37xfy/pnMSLfsmfU+9LoR4WmQDJTbfQsgMpK9B5Ecafjjaq7JlMbgYGcfQamm+YU8xZwEmsi9lWi0qgpl7OvBnCIpggueY3l1m7fki6hsN8AGCVC96dYI35IaqQHiT1ZYU7XjWutGsG5C5Acod/+N3AZUqikwUbhb4U6mExxGCf8mkyxXze6wiw/PjT0YFKovbDNhfoZDzG4Q+TCPVQ+qVhJTNlSebpUHL+7yetqR5VXwiy86dBZQ0gebXNMOsNLKG+K6NQDy2klyJr15HXoVFsCmGYYfSL1poQkVR1+9OgL4V6M2RyQVdTHx2wqIYkmrQfwjl1S1OPK9TCNhfomK5hWsmoTb8kWcBR9EuzZVJfCAzRayI5f0pge/VKSYniCl4Tw/VqonLBYYcwWOs4s6auHBEUtsbaV0lmDM0NneOEQj1sTUC6AII06EuhHmVqJw8RDG5vpF5BREuoB2+42ZaJXVky7BCCdCGHPc+wX4OiXyCZUJ9tmtDol6TteWGi6JeE1kuYo9TRyjQorqD+jg3Y1lDMdRfWX6u9ZBSf/zOs1zCLNinFVZLw0rhZNfWw6JfRRkL6JaQeEDj7ruDUUyFqAQ/Xk52YYfGypZIwUq9k1nLC4tSTar5RQSfjgzV2Tkwn6p8XQQW4IJ1TaLrZohLixIRsfovI6Jd6sntKw5KlQIfiCio2BdZ3CMRed2ERUaDDqYdFnTkHfZJnhB1qaRLG/J8R7HtzrLekFnJQFo+WczcKfS7UgznqdHHfARtisKrAqftntoHVX0hiDYSPf9FglV0TWc1W69VfU0/aX5gNiVPXCBuNjH6xN3Dc239i+W1yDHN1Et3i8uBhlhV0hHoWv8VsM1ioO5c470qgTDRbYdFKTmhuek096jscbVRpmfjrLuhOVQcaFnIc9KlQt179FhfA+EAyTTWO6aqhqYeZgRDf8RjFqS8arLFjYjrTBnY0Xz/tOhX90jJUAzh1DU29FRLmCh2OdiImxRUVTaLhFAtzno/bvpzdMQ9nE5LCDtYabrZMpgSksGSheqXMcL3Cjv1JorjCfQqQLWw0LPQZXAdn3DmOUP6GE9I5adGXQt35soKFWpWJ6SYHZuNuYOs1TOhqmK5hnDrAnsm49Ev4Yh0frDE928p0fVl7Q/jsulqlRKNaShT9Mj0bFtKooalbr5HmfFyKq83R+7+vQXGFhbk69MuuyXjPCDuEwRLqkIwe6XlGyD0GAIuGqonmpNkyvgcEpK8p70aU8rfImeOYQj1K+Vs0WGVnRgs5DvpSqJsQbg9gfMjmIxN+WVGmaxa0WsEbOGncd+TmsjWQLAvMeUaQkBgfqCWakzBNXZN+CQtptJ6RjM4IOiSWDtfYvj+j3yKkfUcIxxU4s/YpFERnjCXU/P3QjNh3iwdr7EgwJ6HhhramniVrN2pfj7f3Sbw+R/lZFg9ZeyJrbH0U+lKoR2lljukaV6hFRZOoJG7Eol/iLeAogbvIPtR2ZhA6sxGm66KhZBs4rPbLaAqO3ouO9Rauqced4yiBsGS4xs7907E5+qBnBCekWf2NrUXaciRXTT2EUwdrTSSlPYMTCC1NPQudEWXRLkos1MM19cVDjnWVr7bel0I9mn5xzKpkJ3AY97Z7IpuTKTROPaGjdDZSU09mVvrBEVZBseVLEgt1QyWg0IlzCGXRfMMKekFnTuIedFEH/ZKhOrMtk4iC6n1GcPuVcomRRvyoK0dTD1oToxpCPWJOFg/W2L4voVAP2BOVcomxgWqiNdbbvvUatCbGE+6TsDh9SL7G0qIvhboJcdiA26zS4cqWDdeZbrYyRcCEmZodJ1NM/jQm/bIjA+fbPjhCNPUk9M5ss0Wt4t9WtVxi0WCVZ/YdSN5RG22BE7Dil9gHR9xnRB30S4ad9rIInWChBpbmF/ega0Z8X2MKSXRRB31STb3Z8q9/72DJcLJDwotI+mUgmaYeVtAMOpp6loMoDvpSqHc2cDj9kFRTDzqBlw7XgfgCwf8Z/neUdp5RY9veeO2HhZaBWwPJviGC+dMq2xPMx0yzFaipAywZrqts4CAhvGzE+Q51TG1nTSSZA79nBPUXLGXimZhrohkhcBcrWENRB/3ioRoT002mYkcYBe85sOZ4W5b5jaAQK+USI/VKAkcpoe21NfWMDvQo9KVQj9SiEi7goAt7HTgbOK7Q9X9GsIAAS+jEbd8ROEFCsm2pJAgv8yLq4Fg8VGfP1GzsNPaZpgkUOGB9Z5mEesQGblQtayipph7mFINsQjIs+QiSCbWo8L2heoXheoWte9NfPBGVC5BUqBkTHP0C9qGW6dC0XsOsgUUJrKEozb+jqRecemJEaVGNapmxgSpP7463gMO4TXBreTlqZSPxN3AUp161NZAsGkOkpj6ULDpjptkKLOgFsHQk/w28dLgWW1OPSlxx6JcsmnqUMrEswZzMRjjPAZaP1tm6JwPFFamp27RfAsooTNFZMlyLban4IUpOAKwYrbMl5g1LUX4WR6hnUf7ioD+FeoRWAsm+rChuc6nDn2b4spoRz1g2HF9Tb0Y4xcASklkWV9TBsSQhJTXbCtfUlw7VMpnaHU01+DNLE9AZUWts8WB2Tr0ZpamO1Nk1MRMr3yLKzwKwfCT+nvBDXAd9XIsrLIUfrO9rz9RsotuUutqPiIgCWDHaYGtsOYHdnv/7tUqJpcM1nt4zmaifSdGfQj2GVrZitJFAqId/8YsGa5RLklroNFsGYwhMvgFrA++ejLeBHWokTCtbNd5g0+70iytKSKwcawCwaVe8Z8zMBoc0AiwfbbB3ajbR7e5uRHHqYAmJuPRD1Aau2M7d7fvTH0QzTUM1wHkMbt4+WkjGEeorRhtszaL5RjzjMHtNJFOmwg+hJO31tm+9hs3JyrEGT++ZihXZFmWpWO0NsGlX9rtVw9CnQj2c2wI4bLTBlpimZrPVCv2iSiXhsNFG6i/L4Z2jhBrAlt3RfY6iRgBWjQ3EFrh+iFrAh48PAPBUXKHeChfqqxfZ7e1M1+c4Qv3wRdaGi7OBnRDB0O9spMHTMb6vIEQ5j5MItajEIOgoOmlDc6OesWI0uVAP6+/qRYNA/DXm1z5E0S8NpmZasbK5nX1cqwR/Z4eNNWLTvmnRn0I9Fv3SYNu+A7Gyu2aawdmODo5YPMATOyaSdbTdviMggp9x5GJrAcd5Rhz+dNX4AFv3HkhtukZpfkuH69TKpdgbbrZpQvvrbOCNqYW69RomJI5YNMDkTDMWZTJjW0NhQv2IxYM8sWN/so66MBux7o5cEn9NdBLSgvu7aqzBgdlWaoszSlNvVMusGK3z0JZ9sdprhmRZQ+egfzLlvotKSIOOdfF0jIPI2cdhFveqsWwWchz0p1CPsYGPXDJIs2ViCYnpZiv09AU4YtFg6sUVhy5xhPrjMYREWF0WB4ePD2BMetPVcWIFbYhSSVg13oilWRtj7DIBIQLS3sAbd2bdwMGfOcKe4ydjPMM5DMOE7lFLBnlix0RqzXc2wnppr4ntMQ76ZnicPsCapUMAbHgm5TqOQT8875il3L7+mViZtsaEt7VqfACR9Ad9VEIadJSJx7dH77vOQR9Cv4wPsHdqNnMGehj6UqhH1c4GOGbZMACPbIvWGqL4XrAEwta9B2LH4Ha1H+OEP2y0Qa1c4okEGzhU811sCcnHnkmnSc62gjNA28+IedDF2QxLh+vUKiWeTL2Bo+mHtlCPZQ1Z9d/DtLyjlgwyNdNK5ZA2xthhnsFz3KiWOWy0wYYYAicqzBXg6LZQT7cm4igTFxy7lO37p3l4a/S+C7vAAiya47DRRqxD2A9hF1s7OGaZNSfr48gJx+IOaTCJ3EmLvhTqUaFF0PmyHt0W5wSOFupH2aZwnPZ62rc3Q1hIX6kkHLF4gEdjbLg4/OkJK0YAePDpvUm62oZVlyP8M8cuH2b91n2Rmmocn0KpJBy7bDh1f6PitMHSfMsl4ZEYAmcm5KYmB0ctsddYCiHpaL3VMM0Ea93FOZg7kSnBnzl8fIBKSXgsxiHhhzi+nNMOHwPggaf3xGov7IAA6yB6JMWeg+j6RWCVkV4xWmd9rDVhr+MQq/74FZZQXx+TgkqDvhTqUYkxYGVVLhmq8dCWaCERh1M/ZZW1WO/dtDtBTy3MtjX18GecvGqM+zZFb4Y4/OmS4TrLRuo8kFJIzobUanFwxhHj7J9ucsdjOyLbgnBLBeDkVaPctzl6/H6IqksCluZ77LJh7o0xx9Ozrcg1cfLKUQDufSrNmrCFegTtd9LKUe7fvCfSN9QJcw1ur1IuccyyYe5POcdxfDnPWjZEtSzcvzl63UWFEgOccNgIDz29N1VUlEOh1Svl0M85ykkUZuJYyIsGqVdKseROWvSlUJ+yw/4a1fAv64wjxrnriZ2R7U3H0NSftXSIoVo51QaOQ78APPvwMZ7aNRkZ+93WQCK+3RMPG2FdikMI4m24l5xyGCONCv9258bQz820ovlpsITktr0HUmU9Ohs4yjdyyqrRWN/hTAw/y7KROqvGGtyzMcWasOckTECAtYanZlqRdEYzokqjgzOPHOeXT+xK5QeIE6BQLZc4dnm8dTcdwxq67LSVTM40+Y9fPpWss9AOD65XI/bd6nHu27SHyYgLROJYnOWScNLKUX61cVeyziZAfwr1GWtyGxEn8NlrFvPItv2RWX9xNnCpJDx79XikVurfvkO/hG+4Z6+2rIE7Hw8/iJrOIREh1Z/7rCU88PTeVJmas63gSy0cDNTKvOD4Zdz20LZQIXHAEbgR7Z1x5DgAP380+Ry310TEBj7zyHG27j3AoxGcZ9hF2W6cfsQ4azfsSCwkZ2ajBYTTPsDaqDXh1FMP8xRjjX/35Ewqztc5OMIsZIBz1ixi7YadkTkXU9PNyO/rrKMWccyyIb7366cT9RU6a6IesbfPWbOI2Zbh7id3hX5utmmFYEaN/7yjF3P3k7siD4m06FOhHu8Eft4xSwD40QNbQz8Xh1MH+I0Tl/HA03sTR2jMxBTCzzlqESONCj+4b0vo55oxon/AcloB3PbQtpg9dT2jFS0gAJ5/3DK27j0Qam47i3ugFn4IP/vwMQ4fH+BjNz2c+KIBZ00MRFhvF5+wHIi3JqLoMoDfOGE5m3ZPsS4GpeNGm1OPWHdrlgyyZskgP4xYE21qJKLPFx63DIAb14W354fOwRH+uYuOW8bkTJNfPBZ+EE3NNiO/LxHhhScu547HdiS+RKWtqUcof2cdtZhKSfjRA+FzMhNyebobzz1mCTNNw08feSZ+ZxOgL4X6AUeoR5zAz149xpGLB6PpgdloTh0sugHg6xHt9bTfjLfhquUSLzppBTfe+3Rone5mTNP92YePccTiAa77xZOJ+us8I84CvuSk5dTKJf7PL54I/Iwj1AdrldC2KuUS//Oyk3h4677Ig80LR6hHUXJHLB7klFWj/NvajaHadRxKDqzxV0qSYk3E87OICC859TBuX/9MaDJZnIxSsJylZx45zjfu2pj4gg8rIio8IgjgwmOXMtqocF3ImgBrXUR9XwCXnnoY080W30xIwRyYjaepjw1UufiE5Xzz7k2h1sV0RP0iBxccs5QlQ7XEayIu+lKoT822qFdKkYtLRHj9+Udxx2M7uDlEM4u7gY9aMsRvnrScz9++IXa9COg4SuMsiDdccDR7D8zyiR+tD+7vbDyBUCoJV52/JnL8fpiaaUVaQmA5ZK84YxXX/eLJwCgNx8k1GKGpg3VwHrVkkI/84KHYd8xa/Y0n1MGa4we37OX6uzcFfiaqAJmDJcN1XnHm4Vz3iycShQrOxgjzdPC65x4FwIf/86HAz7TDRqMcLcDvP28Nj2zbz9fvSiZ09h2YbV89GIaBWplXn3sk3/31Zu4J4ZbjaOoAzzlyEc9ePcanbl6f6CYkR6hHUTwAVz3vKLbtPcC//PixwM/MRlQadVCrlHjVOUfQqJYzXawTBHWhLiKXisiDIrJeRK7Wbj8ODszEO+EBfu+5R3H8imHeet0vA2mIuBsY4N2/dRIHZpu8/nN3xE5GmokZ/QFw2uoxXnvekXzmtkf559se9Y2L3zM1S6NaijQrAV53/lEct3yYt/7rL7l9fXxzcPfkTPtihSj8+YtPoF4pcdXn7mD91l4aZmImHv0ClqZ5zctO4eGt+/jjL98ZO4lj0uZP4wiJ3z7zcJ5z5DhXf+Me/nOdP1cbJ6TRwTtefDy1comrPu8/fv/241FyYEVU/NELnsW/37WRv/3e/b6XMTvzFOc7u/zZqzh3zWL+8pv38p17NscWPHunZtu3dEXhzb9xLMtHGrzxi2sDBfvkdIt6jO9LRLjmilPYsvcAb/j8L2IrVB2LPvoZFx23jJeeehgf/s8Hue6OJ3znJC5NC/CuS0/ko686I1LxTANVoS4iZeCTwEuBk4HXiMjJms9w8MT2icBEn6mZVqzTFyzN7XO/fw6HjTZ4/efu4C3X3tVjdsblT8FKLvjsVefw5I4JLvnIrbz52ru47o4nuPep3ezYP+27GCZj0kUO/vLyk7nkxOW8/7v3c94HbuLbv+rWKHdNTDM+UIvVVr1S5ktvPJdlI3Ve+y8/57KP/ZgP3fggNz+wlce37w8sI5BEqB821uBLbzyPPVMzXPoPP+aTN3dbGVNt+iXeQfwbJy7n/b99Krc9/AzP/18382f/526uv/sp1m3aHRjaNpVgjssl4Z9ffzbHLBvmTV++k9d/7o6etRYnpNHByrEBvvDfz2X3pDX+P/ryWr78Xxv42aPb2bx70tc/MDEd37IA+NPfPJ7XnHsEn771UZ77gZv48n9t6Hp/18Q0JelcYh6Gckn4x997DieuHOXN197F8//+Zt737fu4cd3TrN+6L3BN7J2aaV8IHYWxgSpffuO5lARe/snbef937uv5jKWcxdsTzzlyER979Zncs3E3L/j7W/iz/3M3/7b2Se7btIfdk/5XTU459EvMZ3z4d0/n/GOWcPU3fs0Vn7i955KZA7PRARVzgXjHanycC6w3xjwKICLXAS8Her+xDJicbvL8v78ZsIoaff2Pn9eugwGW5hd3M4Cl6XzrLRfyjn+7mxvu2cyfv/iEdsq0MYbNu6c47+glsdu74Nil/PAdL+CfbnmEb9+zme/cs7n9Xq1c4gUnLOOfX392+2+b7VoQK8cbsdpvVMv8y1Vn87NHd/A//+PXfOa2R3nZ6ava7++cmGlfhBEHK8cG+O7bLuIrP3uc7937NP946yNdafUrRxt89Q+f2844BEuoH26n7sfBGUeM88M/ewFv+tJaPnnzet544dHt72i/I9Sr8Zfja887itNXj/O5nzzGjx7cyjdcfOrioRqf+/1zOMOODAHr4KxVSpHJLA6WDNf5j//vAq759jqu/fkT3LNxN+cevbj9/qbdk+0Erjh4zpGL+OGfvYBP3/oI//HLTV2OyJJYUSxf/+PntTlvhx93ql1GoVIu8YHfPo1Xnn0Ef3LtL/nEzet53flr2u/vnJhmbKCaaPxf+6Pn8q27N3HDPZv5ys8f53O3d6iHpcN1Pv26szjrqEXtv+2ZnI11aDg4bsUIP/izF/CHX1zL52/fwDtefEJ7TbRahsmE+/iyZ6/klFWjfPq2R/jOPZu71sRIvcL/fs0ZvPDEFe2/ORZN3GcM1ip8+b+fxxd+uoH33XAftz38DFe49t2mXZOxv688IZqcjoj8DnCpMeYP7N9fB5xnjHmL3+fPPvtss3bt2sTPmZppcsM9m9m0a5KP/vAhauUSi4dqzLYMs80WOydmuOTE5Xz2989J1O5dT+zkyk/9FLAOi5Yx7J2a5cBsi7+6/GT++4VHJ+6rMYbHt09w3+Y9PL17iq+tfZIHnt7bbr9lLE7ZGHjgry9NbI5d8611fOm/NrBkuE6rZWgZw86JGS46bilffuN5ifsL1mJft2kPT+yY4L5Ne/jc7Y+xaLBKvVKmaQzNlmHH/mnecMEa3vOyUxK1fcuDW/n9z/+CZSN1SmI58J7ZN81Atcydf/mbkc5SP8w2Wzy4ZS8bnpngkW37+MgPHrJqV9trotkybN8/zamHj3LDn1yUqO2ndk1ywQd/BHTWRLNlzfEfv+AYrn7piYn7a4zh6T1TPLRlHxt3TnDnhp1845dP2aV0rTo4UzNNpmZa3P1XL2pfPxgX/3TrI3zwew+wfKRO07UmTlgxwo1/+vzE/QVLkXpwy14e2bqPjTsn+adbH6FaFobqlfYc79g/zctOX8XHX3NmorZvfmArb/jCLxiolhkdqNBsWXOwa2KGj77qdH77zNWJ+9tqGR59Zj8PPL2Hzbum+PRtj/DMvmlWjTW61sTS4Rpr/+JFidqemmly4l9+H7DuZWi2rMCBnRMzXHnm4XzkVWck7m9SiMidxpiz/d7T1tT9JFLXqSEibwLeBHDkkUemekijWuZ3zrK+6FXjA/x0/TOUS0KlXKJSEqZmmrzqnCMSt3v66nHedslxbNo1SbkklEpCpSRUSiUuf/bKVH0VEdYsHWpr/i8/YxUf/eFD7ZjWkgglgVMPH0vFr/23845kaqaJiBViWLb7++pzk4/fwVC9wrlHL7Y007NoV9Yrl6yMxEpJGKyXeWOKQ+6CY5fyBxceza7JGSp2TG+5JDz3WUtSCXSwtNRTVo21s3pPPXyUG+7ZTFmEStl+hgiXu7SquFg11uDdLz2R9Vv3tddE2Z7nNGsMrDWxcmyAlWOWpXPlmasZHagyNdNsr7mSCEcvHUos0AGuOH1Vu5CYsyZKIlxxRvLxOxiolTnjiPG29bNitM4dG3bY32GJcsnyV1z1vDWJ237B8cv48xcfz4btE9bclq05Hh2o8NJT0+27Ukk4dvkwxy630vJPXjXKv9+5sT2/5ZJgsGLGk6JRLfM3rziVXz25q2dNOHJpPqGtqZ8PXGOMeYn9+7sBjDF/6/f5tJp6gQIFChzKCNPUtVn9XwDHicjRIlIDXg18S/kZBQoUKFAgAKr0izFmVkTeAtwIlIHPGWPWaT6jQIECBQoEQ5tTxxjzXeC72u0WKFCgQIFozH9QZYECBQoUUEMh1AsUKFCgj1AI9QIFChToIxRCvUCBAgX6CKpx6okfLrINeFyxyaVAPkWKDz4UY+1PFGPtX2iO9yhjzDK/N+ZVqGtDRNYGBeT3G4qx9ieKsfYv5mq8Bf1SoECBAn2EQqgXKFCgQB+h34T6Z+a7A3OIYqz9iWKs/Ys5GW9fceoFChQocKij3zT1AgUKFDiksaCEuoicKCJvnO9+zAVExDdcqV8hIvGvEVrgOJTGCiB5XMR5EEJEhqI/lT8WhFAXkSER+QhwC3CliMS/W26BQUSGReTDwPdF5P0icsF89ylP2OP9KPBlEfltEVkz333KC/Y6/gTw7yLy30Qk+S0jCwQiMiIiHxeRE0yfc7yuNfwVEfk9ETlqPvtz0At1EbkSWAvsBf4QKBtjts9vr/KBiFSwLu6uAK/HujXqknntVI6wLyr/uP3r3wPHAh+Yvx7ljvcBo8DfAGcCH5zf7uQDETkWuA5rv75vnruTK0TkIuDHwCTwOeAi4DXz2aeDVqjbGx7gIeD/Mca8xxjzbeAoEbnU/kxfmHUi4nwPK4CjjTFvs+vQDwL3z1/P8oFrvIcBpxlj/tQYczvwfeAMEfmT+eudLkRk2PU6DPytMeY24P1ASUT+Yj77pwkXrTSBdUgPA6f0236FrrHuBD5ljPkftny6G1hif2ZexnvQCXUROVZEPg28Q0RWGWPuNcbcJyIVERkEbgCWAyx0s84z1sONMU8BRkQ+LyI/By4HrhCRb4pIussaDyIEjHe3iPwP+yMNrNuzXi8iy+etoxkhFuoi8nXg/SJSNcbsA1Zh3QaGMWYX8HfA74jIYfPX22wIGOsm4E5jzCzwv4G/gr7Yr35jvRe4ziXAnwKOgvkb70El1EXkGuDfsbTz44Av2H8XY8ysMWYCWAQcbv+97N/SwQ/PWI8HvmK/9TLgi8D9xpjjgT/Aqo/zV/PQTTX4jPdL9lvvBN4oIp/F+r6/hmXOnjHnnVSCsXAAWGb/e6X91nuAV4vIUvv3e7D8RJfNeSeV4BnrUuC37bf22e//M9ASkbfNUxfVEDRWY8xelwA/A5jX294OKqGONRkvNcZ8GHgHlhY3bIwxNt8M1p2nvwNgjGnOUz814B3rMyIyYozZAxwJTAPYi+gnwNZ566kOvOPdISLjxpi7gOdjCfmLjDHfAU5ggY9XRI7BEmw/BC4UkdX2WG8DPgJgjJkGmsC2eeuoAjxjvdi2sI2I1O2P/AXWwV0VkZfNtyMxC/zGav/dGetK4Kf23y4RkRVz3ceDSqgbY/7NGLNJRJ4DPAiMA38jIkttUw4srXWdiBw5X/3UQMBY329zdd8HLhORl4jI2cCfYZl1CxYB432f/d0+ZYy51RizQ0TOBQTYM5/9VcAmrIPsQSwn/4tFZBz4E+B5IvJHIvISrAOtNW+91IF3rC8RkeW2QoIx5hYsR+Ie4M3AbEA7CwGBY7UpmJXACSLyXaxghzn/budFqIvIsogTrAb8uTHmRUAdeIuIjNrvGWAM27w72JFwrFXgncaYrVjazeuBfwb+wRizIFKqU4z3LXZI2KiI/B3wWeArxphH56K/WRAx1hOwyqPeDmzAol6+aoyZwqLUBoH3Yn23N8xFf7Mg4VivAT4jVljjoIj8v1hO8TcYYy61fSkHLVKOdRA4CbgCi0n4kjHmKmPM3Fthxpg5/Qf8T+Bh4GLP318NlHw+fyYW9zg8132dp7H+Ghiyfx+c7zHM5XcLXDDfY9AaK5bG9gHgE1ib/zbgffPd7zkc63tdnzttvscwV98r8KfzPQaHp84dIvIs4PNYGvaFxpgtrvdWYZnjDaxwKDeOx4pTXzCe84xj/QUW/YCxHMMHPRS+W2e8t89Ff7MgxlgX2b8uw6JWHgHOB9YAfyQiZxhj7p7LPqeFwlifY4y5yxjz6znteAoojPVsY8xaY8xH57TjfpiDk69kvx4G/BvwYvv344BTsIuKef7PGNaE3QzcBJwz36dfMdZDe7wpx7ra9fMS4PD5Hkcx1v4fa25VGu2wrWuwTJRvGmPWi8hrgJdihQMtxXI6bAQ+aYy53/5/dWM5HS4DlhhjvuTX/sGEQ2mscGiNN8NYB40xE2IlWolZAJFaxVj7Y6y5OErFqs3yr1ge71HgH0XkeVipw7uAtcaYc7FilLcAb7L/30rgE2IlpnxngWz6Q2ascGiNN+NY/0FEjjDGtA7Gje9FMdb+GWtenPpKYMwY804AEXkHcCVWPO47jDEzAMaYh0VkBx2+fDdW9MeunPqVBw6lscKhNd6sY909D31Oi2KsfTJWNU3djtF0sB54SqxiNwDfBGaAF+NyeNoOiFdgJ18YYyYWwqY/lMYKh9Z4Fcd6UG98KMbar2PNJNTtGNRXi8iA6SbnR7EK25wrIhVjzCNYhamOxipiNCQi/wh8F/iWMebTWfoxFziUxgqH1niLsQLFWBf0WN1ILdRF5PeBe7FqHXQVhzdW8sx9wGqs0w+sLMkrsWKv9wM/wAod+jgHOQ6lscKhNd5irBaKsS7csXqRilO3HQ2/BVxujLnP817ZdiD8ECum8y0i8jCWN/lurAxRjDHfyNDvOcOhNFY4tMZbjLX9XjHWBTpWPyQS6iJSMsa0sNK7G8Yqifss4DeAu4wxvzTGNEVEjDE7gU+JSAOrxOhpWE6GLcFPOHhwKI0VDq3xFmMtxrrQxxoKEx2cXwH+HDjC9bfTgK9ilYn9Gdak3Au83X6/7GljSdRzDoZ/h9JYD7XxFmMtxrrQxxp7TiIm7DTgLqxYzX/1vHc9Fu/0Ivv3C7AqKFbne1ApF8chM9ZDbbzFWIuxLvSxJvkX5Sh9BvgYcCKwRkRe7HrvA1h1v8vQrttxL1YVs4WIQ2mscGiNtxirhWKsC3essRFZJsAOB5oUkT8CXmOMudj13nuxSog+BDwXK6j/d8wCKUTlxaE0Vji0xluMtf1eMdYFOta4iF37RUQGgP8AvmuM+ZjrbycBbwA2G2P64ib4Q2mscGiNtxhrMda+R0IO6yXAz1181nL758p880ja/w6lsR5q4y3GWoy1n/8lSj4yxtwI7BSRA8Df0qmDvZCvp/LFoTRWOLTGW4y1GGs/I3aculilJt+HZc68xVi3hPclDqWxwqE13mKs/YlDaaxRSFRPXUReCvzI2BfK9jMOpbHCoTXeYqz9iUNprGHI7ZKMAgUKFCgw98jlkowCBQoUKDA/KIR6gQIFCvQRCqFeoECBAn2EQqgXKFCgQB+hEOoFChQo0EcohHqBAgUK9BEKoV6gbyAiS0Tkbvvf0yLylP3zPhH5VE7PfLuIvD7k/cvtwlIFCswJijj1An0JEbkG2GeM+VCOz6hg1fN+TlAquoiI/ZkLTJ9XByxwcKDQ1Av0PUTkYhG5wf75GhH5ooj8p4hsEJErReR/icivReT7IlK1P3eWiNwqIneKyI0istKn6RdiXZM2a/+ft4rIfSJyj4hcB2AsrekW4PI5GWyBQx6FUC9wKOIY4DLg5cBXgJuNMacBk8BltmD/OFbt7bOAzwHv92nnAuBO1+9XA2caY54N/LHr72uBi9RHUaCADxJdPF2gQJ/ge8aYGRH5NdbNON+3//5rYA3W7TinAj+w2BPKwGafdlYC97t+vwf4qoh8E/im6+9bgVV63S9QIBiFUC9wKOIAgDGmJSIzpuNYamHtCQHWGWPOj2hnEmi4fr8MeD5wBfCXInKKTc007M8WKJA7CvqlQIFePAgsE5HzAUSkKiKn+HzufuBY+zMlrBvtbwbeBYwDw/bnjse6H7NAgdxRCPUCBTwwxkwDvwP8nYj8CrgbeJ7PR7+HpZmDRdF8xaZ0fgl81Bizy37vN4Dv5NnnAgUcFCGNBQpkgIj8B/AuY8zDAe+vAK41xlwytz0rcKiiEOoFCmSAiJwArDDG3Bbw/jnAjDHm7jntWIFDFoVQL1CgQIE+QsGpFyhQoEAfoRDqBQoUKNBHKIR6gQIFCvQRCqFeoECBAn2EQqgXKFCgQB/h/wJ7ijEeySvOrAAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
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-     "output_type": "display_data"
-    },
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-     "data": {
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-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>CO (ppm)</th>\n",
-       "      <th>Humidity (%r.h.)</th>\n",
-       "      <th>Temperature (C)</th>\n",
-       "      <th>Flow rate (mL/min)</th>\n",
-       "      <th>Heater voltage (V)</th>\n",
-       "      <th>R1 (MOhm)</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Time (s)</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>2016-10-16 05:36:55.800</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>48.4700</td>\n",
-       "      <td>24.6200</td>\n",
-       "      <td>247.4926</td>\n",
-       "      <td>0.2000</td>\n",
-       "      <td>0.6831</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-10-16 05:36:56.100</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>48.4700</td>\n",
-       "      <td>24.6200</td>\n",
-       "      <td>243.8282</td>\n",
-       "      <td>0.1998</td>\n",
-       "      <td>0.6649</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-10-16 05:36:56.400</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>48.4700</td>\n",
-       "      <td>24.6200</td>\n",
-       "      <td>243.0668</td>\n",
-       "      <td>0.2000</td>\n",
-       "      <td>0.6481</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-10-16 05:36:56.700</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>48.4700</td>\n",
-       "      <td>24.6200</td>\n",
-       "      <td>242.3030</td>\n",
-       "      <td>0.2000</td>\n",
-       "      <td>0.6318</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-10-16 05:36:57.000</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>48.4702</td>\n",
-       "      <td>24.6206</td>\n",
-       "      <td>241.5632</td>\n",
-       "      <td>0.2000</td>\n",
-       "      <td>0.6178</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>2016-10-17 06:52:04.500</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>63.9400</td>\n",
-       "      <td>24.6200</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>0.2080</td>\n",
-       "      <td>9.9322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-10-17 06:52:04.800</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>63.9400</td>\n",
-       "      <td>24.6200</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>0.2050</td>\n",
-       "      <td>31.7887</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-10-17 06:52:05.100</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>63.9400</td>\n",
-       "      <td>24.6200</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>0.2040</td>\n",
-       "      <td>57.7304</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-10-17 06:52:05.400</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>63.9400</td>\n",
-       "      <td>24.6200</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>0.2020</td>\n",
-       "      <td>71.9176</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-10-17 06:52:05.700</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>63.9400</td>\n",
-       "      <td>24.6200</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>0.2010</td>\n",
-       "      <td>61.8035</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>303034 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                         CO (ppm)  Humidity (%r.h.)  Temperature (C)  Flow rate (mL/min)  Heater voltage (V)  R1 (MOhm)\n",
-       "Time (s)                                                                                                               \n",
-       "2016-10-16 05:36:55.800       0.0           48.4700          24.6200            247.4926              0.2000     0.6831\n",
-       "2016-10-16 05:36:56.100       0.0           48.4700          24.6200            243.8282              0.1998     0.6649\n",
-       "2016-10-16 05:36:56.400       0.0           48.4700          24.6200            243.0668              0.2000     0.6481\n",
-       "2016-10-16 05:36:56.700       0.0           48.4700          24.6200            242.3030              0.2000     0.6318\n",
-       "2016-10-16 05:36:57.000       0.0           48.4702          24.6206            241.5632              0.2000     0.6178\n",
-       "...                           ...               ...              ...                 ...                 ...        ...\n",
-       "2016-10-17 06:52:04.500       0.0           63.9400          24.6200              0.0000              0.2080     9.9322\n",
-       "2016-10-17 06:52:04.800       0.0           63.9400          24.6200              0.0000              0.2050    31.7887\n",
-       "2016-10-17 06:52:05.100       0.0           63.9400          24.6200              0.0000              0.2040    57.7304\n",
-       "2016-10-17 06:52:05.400       0.0           63.9400          24.6200              0.0000              0.2020    71.9176\n",
-       "2016-10-17 06:52:05.700       0.0           63.9400          24.6200              0.0000              0.2010    61.8035\n",
-       "\n",
-       "[303034 rows x 6 columns]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
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-     "output_type": "display_data"
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>holiday</th>\n",
-       "      <th>temp</th>\n",
-       "      <th>rain_1h</th>\n",
-       "      <th>snow_1h</th>\n",
-       "      <th>clouds_all</th>\n",
-       "      <th>weather_main</th>\n",
-       "      <th>weather_description</th>\n",
-       "      <th>traffic_volume</th>\n",
-       "      <th>month</th>\n",
-       "      <th>day</th>\n",
-       "      <th>week</th>\n",
-       "      <th>hour</th>\n",
-       "      <th>minute</th>\n",
-       "      <th>dayofweek</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date_time</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2012-10-02 09:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>288.28</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>Clouds</td>\n",
-       "      <td>scattered clouds</td>\n",
-       "      <td>5545.0</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "      <td>40</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-10-02 10:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>289.36</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>Clouds</td>\n",
-       "      <td>broken clouds</td>\n",
-       "      <td>4516.0</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "      <td>40</td>\n",
-       "      <td>10</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-10-02 11:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>289.58</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>Clouds</td>\n",
-       "      <td>overcast clouds</td>\n",
-       "      <td>4767.0</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "      <td>40</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-10-02 12:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>290.13</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>Clouds</td>\n",
-       "      <td>overcast clouds</td>\n",
-       "      <td>5026.0</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "      <td>40</td>\n",
-       "      <td>12</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-10-02 13:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>291.14</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>Clouds</td>\n",
-       "      <td>broken clouds</td>\n",
-       "      <td>4918.0</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "      <td>40</td>\n",
-       "      <td>13</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</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",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2018-09-30 19:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>283.45</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>Clouds</td>\n",
-       "      <td>broken clouds</td>\n",
-       "      <td>3543.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>30</td>\n",
-       "      <td>39</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2018-09-30 20:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>282.76</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>Clouds</td>\n",
-       "      <td>overcast clouds</td>\n",
-       "      <td>2781.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>30</td>\n",
-       "      <td>39</td>\n",
-       "      <td>20</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2018-09-30 21:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>282.73</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>Thunderstorm</td>\n",
-       "      <td>proximity thunderstorm</td>\n",
-       "      <td>2159.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>30</td>\n",
-       "      <td>39</td>\n",
-       "      <td>21</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2018-09-30 22:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>282.09</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>Clouds</td>\n",
-       "      <td>overcast clouds</td>\n",
-       "      <td>1450.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>30</td>\n",
-       "      <td>39</td>\n",
-       "      <td>22</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2018-09-30 23:00:00</th>\n",
-       "      <td>True</td>\n",
-       "      <td>282.12</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>Clouds</td>\n",
-       "      <td>overcast clouds</td>\n",
-       "      <td>954.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>30</td>\n",
-       "      <td>39</td>\n",
-       "      <td>23</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>52551 rows × 14 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     holiday    temp  rain_1h  snow_1h  clouds_all  weather_main     weather_description  traffic_volume  month  day  week  hour  minute  dayofweek\n",
-       "date_time                                                                                                                                                          \n",
-       "2012-10-02 09:00:00     True  288.28      0.0      0.0        40.0        Clouds        scattered clouds          5545.0     10    2    40     9       0          1\n",
-       "2012-10-02 10:00:00     True  289.36      0.0      0.0        75.0        Clouds           broken clouds          4516.0     10    2    40    10       0          1\n",
-       "2012-10-02 11:00:00     True  289.58      0.0      0.0        90.0        Clouds         overcast clouds          4767.0     10    2    40    11       0          1\n",
-       "2012-10-02 12:00:00     True  290.13      0.0      0.0        90.0        Clouds         overcast clouds          5026.0     10    2    40    12       0          1\n",
-       "2012-10-02 13:00:00     True  291.14      0.0      0.0        75.0        Clouds           broken clouds          4918.0     10    2    40    13       0          1\n",
-       "...                      ...     ...      ...      ...         ...           ...                     ...             ...    ...  ...   ...   ...     ...        ...\n",
-       "2018-09-30 19:00:00     True  283.45      0.0      0.0        75.0        Clouds           broken clouds          3543.0      9   30    39    19       0          6\n",
-       "2018-09-30 20:00:00     True  282.76      0.0      0.0        90.0        Clouds         overcast clouds          2781.0      9   30    39    20       0          6\n",
-       "2018-09-30 21:00:00     True  282.73      0.0      0.0        90.0  Thunderstorm  proximity thunderstorm          2159.0      9   30    39    21       0          6\n",
-       "2018-09-30 22:00:00     True  282.09      0.0      0.0        90.0        Clouds         overcast clouds          1450.0      9   30    39    22       0          6\n",
-       "2018-09-30 23:00:00     True  282.12      0.0      0.0        90.0        Clouds         overcast clouds           954.0      9   30    39    23       0          6\n",
-       "\n",
-       "[52551 rows x 14 columns]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "for Dataset in [IMOSCurrentsVel, AppliancesEnergyPrediction, BejingPM25, GasSensor, MetroInterstateTraffic]:\n",
-    "    dataset = Dataset(datasets_root)\n",
-    "    dataset.df[dataset.columns_target].dropna().head(1000).plot()\n",
-    "    plt.show()\n",
-    "    display(dataset.df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
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-  "kernelspec": {
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-   "number_sections": true,
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-   "title_cell": "Table of Contents",
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-   "toc_position": {
-    "height": "755px",
-    "left": "10px",
-    "top": "146px",
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