3.1 Data Selection.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "toc": true
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Ideas\" data-toc-modified-id=\"Ideas-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Ideas</a></span></li><li><span><a href=\"#Libraries\" data-toc-modified-id=\"Libraries-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Libraries</a></span></li><li><span><a href=\"#Load-data\" data-toc-modified-id=\"Load-data-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Load data</a></span><ul class=\"toc-item\"><li><span><a href=\"#PM2.5\" data-toc-modified-id=\"PM2.5-3.1\"><span class=\"toc-item-num\">3.1&nbsp;&nbsp;</span>PM<sub>2.5</sub></a></span></li><li><span><a href=\"#Observed-data-from-Noibai-(ISD-data)\" data-toc-modified-id=\"Observed-data-from-Noibai-(ISD-data)-3.2\"><span class=\"toc-item-num\">3.2&nbsp;&nbsp;</span>Observed data from Noibai (ISD data)</a></span></li><li><span><a href=\"#MERRA-2-SLV-group\" data-toc-modified-id=\"MERRA-2-SLV-group-3.3\"><span class=\"toc-item-num\">3.3&nbsp;&nbsp;</span>MERRA-2 SLV group</a></span></li><li><span><a href=\"#MERRA-2-FLX-group\" data-toc-modified-id=\"MERRA-2-FLX-group-3.4\"><span class=\"toc-item-num\">3.4&nbsp;&nbsp;</span>MERRA-2 FLX group</a></span></li></ul></li><li><span><a href=\"#Concatinate-data\" data-toc-modified-id=\"Concatinate-data-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Concatinate data</a></span></li><li><span><a href=\"#Correlation-and-filter-out\" data-toc-modified-id=\"Correlation-and-filter-out-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>Correlation and filter out</a></span><ul class=\"toc-item\"><li><span><a href=\"#let-get-wind-speed-data-in-different-formats\" data-toc-modified-id=\"let-get-wind-speed-data-in-different-formats-5.1\"><span class=\"toc-item-num\">5.1&nbsp;&nbsp;</span>let get wind speed data in different formats</a></span></li><li><span><a href=\"#Chart\" data-toc-modified-id=\"Chart-5.2\"><span class=\"toc-item-num\">5.2&nbsp;&nbsp;</span>Chart</a></span></li></ul></li><li><span><a href=\"#Nudgets-are-here!\" data-toc-modified-id=\"Nudgets-are-here!-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>Nudgets are here!</a></span></li></ul></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ideas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- select parameters influence concentration of PM<sub>2.5</sub> mostly in transport\n",
    "- data should be indenpendent to PM<sub>2.5</sub>, and should be a physical entities rather a prepresentation of such data\n",
    "- I explicitly select data from MERRA-2 groups (SLV: single level, and some from FLX: flux diagnosis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['figure.figsize'] = (14,6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt.rcParamsDefault"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- let visit some graph we hare in the previous exercise\n",
    " - with observed ground data\n",
    " \n",
    "    <img style=\"width: 80%\" src='img/2020Jul_corr_pm25.png'>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- they are all basic parameter, let use all of them. For wind speeds, we will have more options with MERRA-2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- with SLV groups in MERRA-2 reanalysis \n",
    "\n",
    "    <img style=\"width: 80%\" src='img/2020Aug-SLV-PM25.png'>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-  selected columns\n",
    "T2MWET, T2MDEW, T2M, QV10M, PS, TQV, TQL, H1000, DISPH, wind (2-50, and 1400m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- FLX group\n",
    "\n",
    "<img style=\"width: 80%\" src='img/2020Aug-FLX.png'>\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "select columns:  \n",
    "    - QV10M 10-meter_specific_humidity  \n",
    "    - QLML surface_specific_humidity  \n",
    "    - TQL total_precipitable_liquid_water  \n",
    "    - FRCAN areal_fraction_of_anvil_showers  \n",
    "    - HLML surface_layer_height  \n",
    "    - H1000 height_at_1000_mb  \n",
    "    - DISPH zero_plane_displacement_height   \n",
    "    - U2M 2-meter_eastward_wind  \n",
    "    - V2M 2-meter_northward_wind  \n",
    "    - U50M eastward_wind_at_50_meters  \n",
    "    - V50M northward_wind_at_50_meters  \n",
    "    - U850 eastward_wind_at_850_hPa  \n",
    "    - V850 northward_wind_at_850_hPa  \n",
    "    - SPEED surface_wind_speed, m s-1  \n",
    "    - SPEEDMAX surface_wind_speed, m s-1  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# let build a function to look up the name and unit from netcdf4 file\n",
    "import netCDF4 as nc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def collect_meta_name():\n",
    "    meta_name = dict()\n",
    "    files = ['data/nc4/MERRA2_400.tavg1_2d_slv_Nx.20180722.nc4',\n",
    "             'data/nc4/MERRA2_400.tavg1_2d_flx_Nx.20180102.nc4',\n",
    "             'data/nc4/MERRA2_400.tavg1_2d_aer_Nx.20180101.nc4']\n",
    "    for file in files:\n",
    "        ds = nc.Dataset(file)\n",
    "        for k, v in ds.variables.items():\n",
    "            meta_name[k] = f'{v.long_name}, {v.units}'\n",
    "    return meta_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "name_ = collect_meta_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def look_kw(kw=None):\n",
    "    name_ = collect_meta_name()\n",
    "    \n",
    "    for k,v in name_.items():\n",
    "        if kw in v:\n",
    "            print(k,v)\n",
    "    return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "U2M 2-meter_eastward_wind, m s-1\n",
      "V250 northward_wind_at_250_hPa, m s-1\n",
      "U850 eastward_wind_at_850_hPa, m s-1\n",
      "V850 northward_wind_at_850_hPa, m s-1\n",
      "V50M northward_wind_at_50_meters, m s-1\n",
      "U250 eastward_wind_at_250_hPa, m s-1\n",
      "V2M 2-meter_northward_wind, m s-1\n",
      "V10M 10-meter_northward_wind, m s-1\n",
      "U50M eastward_wind_at_50_meters, m s-1\n",
      "U10M 10-meter_eastward_wind, m s-1\n",
      "V500 northward_wind_at_500_hPa, m s-1\n",
      "U500 eastward_wind_at_500_hPa, m s-1\n",
      "ULML surface_eastward_wind, m s-1\n",
      "SPEED surface_wind_speed, m s-1\n",
      "SPEEDMAX surface_wind_speed, m s-1\n",
      "VLML surface_northward_wind, m s-1\n",
      "BCFLUXU Black Carbon column u-wind mass flux, kg m-1 s-1\n",
      "OCFLUXV Organic Carbon column v-wind mass flux __ENSEMBLE__, kg m-1 s-1\n",
      "SUFLUXV SO4 column v-wind mass flux __ENSEMBLE__, kg m-1 s-1\n",
      "SSFLUXU Sea Salt column u-wind mass flux, kg m-1 s-1\n",
      "DUFLUXV Dust column v-wind mass flux, kg m-1 s-1\n",
      "DUFLUXU Dust column u-wind mass flux, kg m-1 s-1\n",
      "SSFLUXV Sea Salt column v-wind mass flux, kg m-1 s-1\n",
      "SUFLUXU SO4 column u-wind mass flux __ENSEMBLE__, kg m-1 s-1\n",
      "BCFLUXV Black Carbon column v-wind mass flux, kg m-1 s-1\n",
      "OCFLUXU Organic Carbon column u-wind mass flux __ENSEMBLE__, kg m-1 s-1\n"
     ]
    }
   ],
   "source": [
    "look_kw(kw='wind')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DISPH zero_plane_displacement_height, m\n",
      "TCZPBL transcom_planetary_boundary_layer_height, m\n",
      "PBLH planetary_boundary_layer_height, m\n"
     ]
    }
   ],
   "source": [
    "look_kw(kw='plane')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H250 height_at_250_hPa, m\n",
      "DISPH zero_plane_displacement_height, m\n",
      "H1000 height_at_1000_mb, m\n",
      "H850 height_at_850_hPa, m\n",
      "H500 height_at_500_hPa, m\n",
      "TCZPBL transcom_planetary_boundary_layer_height, m\n",
      "HLML surface_layer_height, m\n",
      "PBLH planetary_boundary_layer_height, m\n"
     ]
    }
   ],
   "source": [
    "look_kw(kw='height')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PM<sub>2.5</sub>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pm25</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date (LT)</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 01:00:00</th>\n",
       "      <td>69.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 02:00:00</th>\n",
       "      <td>75.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 03:00:00</th>\n",
       "      <td>90.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 04:00:00</th>\n",
       "      <td>97.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 05:00:00</th>\n",
       "      <td>89.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     pm25\n",
       "Date (LT)                \n",
       "2018-01-01 01:00:00  69.2\n",
       "2018-01-01 02:00:00  75.5\n",
       "2018-01-01 03:00:00  90.2\n",
       "2018-01-01 04:00:00  97.6\n",
       "2018-01-01 05:00:00  89.1"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm25 = pd.read_csv('data/cleaned_pm25_Hanoi_PM2.5_2018_YTD.csv',\n",
    "                   parse_dates=['Date (LT)'], \n",
    "                   index_col=['Date (LT)'])\n",
    "pm25.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Observed data from Noibai (ISD data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CIG</th>\n",
       "      <th>VIS</th>\n",
       "      <th>TMP</th>\n",
       "      <th>DEW</th>\n",
       "      <th>WD</th>\n",
       "      <th>WS</th>\n",
       "      <th>CLDCR</th>\n",
       "      <th>CLDHT</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>1067.0</td>\n",
       "      <td>8000</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1067.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:30:00</th>\n",
       "      <td>975.0</td>\n",
       "      <td>8000</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>60</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>975.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 01:00:00</th>\n",
       "      <td>975.0</td>\n",
       "      <td>7000</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>80</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>975.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 01:30:00</th>\n",
       "      <td>975.0</td>\n",
       "      <td>7000</td>\n",
       "      <td>17.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>975.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 02:00:00</th>\n",
       "      <td>1006.0</td>\n",
       "      <td>7000</td>\n",
       "      <td>17.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>80</td>\n",
       "      <td>3.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>762.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        CIG   VIS   TMP   DEW  WD   WS  CLDCR   CLDHT\n",
       "DATE                                                                 \n",
       "2018-01-01 00:00:00  1067.0  8000  16.0  12.0  80  1.5    0.7  1067.0\n",
       "2018-01-01 00:30:00   975.0  8000  16.0  12.0  60  1.5    0.7   975.0\n",
       "2018-01-01 01:00:00   975.0  7000  16.0  12.0  80  1.5    0.7   975.0\n",
       "2018-01-01 01:30:00   975.0  7000  17.0  12.0  60  2.1    0.7   975.0\n",
       "2018-01-01 02:00:00  1006.0  7000  17.0  12.0  80  3.1    0.4   762.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb = pd.read_csv('data/cleaned_noibai_noaa_isd_2018.csv',\n",
    "                parse_dates=['DATE'],\n",
    "                index_col=['DATE'])\n",
    "nb.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    " # since it use UTC time, convert to the local time (GMT+7)\n",
    "nb.index = nb.index + datetime.timedelta(hours=7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MERRA-2 SLV group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# T2MWET, T2MDEW, T2M, QV10M, PS, TQV, TQL, H1000, DISPH, winds\n",
    "cols = ['T2MWET', 'T2MDEW', 'T2M', 'QV10M', 'PS', 'TQV', 'TQL', 'H1000', 'DISPH', 'U2M', 'V2M', 'U50M', 'V50M', 'U850', 'V850']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['U2M', 'V250', 'TROPT', 'TROPPB', 'T2M', 'TQL', 'T500', 'U850', 'PS',\n",
      "       'V850', 'H250', 'Q250', 'T2MDEW', 'V50M', 'Q500', 'DISPH', 'H1000',\n",
      "       'TS', 'T10M', 'TROPPT', 'SLP', 'U250', 'Q850', 'ZLCL', 'TQV', 'V2M',\n",
      "       'T250', 'TROPQ', 'V10M', 'H850', 'T850', 'U50M', 'U10M', 'TROPPV',\n",
      "       'H500', 'V500', 'T2MWET', 'U500', 'QV10M'],\n",
      "      dtype='object')\n"
     ]
    },
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>T2MWET</th>\n",
       "      <th>T2MDEW</th>\n",
       "      <th>T2M</th>\n",
       "      <th>QV10M</th>\n",
       "      <th>PS</th>\n",
       "      <th>TQV</th>\n",
       "      <th>TQL</th>\n",
       "      <th>H1000</th>\n",
       "      <th>DISPH</th>\n",
       "      <th>U2M</th>\n",
       "      <th>V2M</th>\n",
       "      <th>U50M</th>\n",
       "      <th>V50M</th>\n",
       "      <th>U850</th>\n",
       "      <th>V850</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>284.03730</td>\n",
       "      <td>284.03317</td>\n",
       "      <td>287.10890</td>\n",
       "      <td>0.007823</td>\n",
       "      <td>100905.08</td>\n",
       "      <td>34.673485</td>\n",
       "      <td>0.008423</td>\n",
       "      <td>164.23969</td>\n",
       "      <td>0.256348</td>\n",
       "      <td>0.023183</td>\n",
       "      <td>0.507052</td>\n",
       "      <td>0.030755</td>\n",
       "      <td>1.167118</td>\n",
       "      <td>-0.678858</td>\n",
       "      <td>6.310610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 01:00:00</th>\n",
       "      <td>283.94345</td>\n",
       "      <td>283.94443</td>\n",
       "      <td>286.79376</td>\n",
       "      <td>0.007823</td>\n",
       "      <td>100865.09</td>\n",
       "      <td>34.909637</td>\n",
       "      <td>0.009235</td>\n",
       "      <td>160.25461</td>\n",
       "      <td>0.256226</td>\n",
       "      <td>0.189619</td>\n",
       "      <td>0.384886</td>\n",
       "      <td>0.424628</td>\n",
       "      <td>0.882620</td>\n",
       "      <td>-0.398818</td>\n",
       "      <td>6.162886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 02:00:00</th>\n",
       "      <td>283.87656</td>\n",
       "      <td>283.87836</td>\n",
       "      <td>286.48932</td>\n",
       "      <td>0.007822</td>\n",
       "      <td>100819.56</td>\n",
       "      <td>35.195385</td>\n",
       "      <td>0.006260</td>\n",
       "      <td>156.44829</td>\n",
       "      <td>0.256226</td>\n",
       "      <td>0.243190</td>\n",
       "      <td>0.296402</td>\n",
       "      <td>0.544786</td>\n",
       "      <td>0.681256</td>\n",
       "      <td>-0.217877</td>\n",
       "      <td>5.993750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 03:00:00</th>\n",
       "      <td>283.76090</td>\n",
       "      <td>283.75630</td>\n",
       "      <td>286.24753</td>\n",
       "      <td>0.007807</td>\n",
       "      <td>100793.71</td>\n",
       "      <td>35.590984</td>\n",
       "      <td>0.003489</td>\n",
       "      <td>154.54437</td>\n",
       "      <td>0.256104</td>\n",
       "      <td>0.195083</td>\n",
       "      <td>0.277474</td>\n",
       "      <td>0.383533</td>\n",
       "      <td>0.620761</td>\n",
       "      <td>-0.217092</td>\n",
       "      <td>5.911840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 04:00:00</th>\n",
       "      <td>283.66614</td>\n",
       "      <td>283.65967</td>\n",
       "      <td>285.96360</td>\n",
       "      <td>0.007804</td>\n",
       "      <td>100791.80</td>\n",
       "      <td>35.827934</td>\n",
       "      <td>0.002314</td>\n",
       "      <td>154.16837</td>\n",
       "      <td>0.255981</td>\n",
       "      <td>0.132475</td>\n",
       "      <td>0.275675</td>\n",
       "      <td>0.213028</td>\n",
       "      <td>0.631371</td>\n",
       "      <td>-0.108732</td>\n",
       "      <td>5.884082</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        T2MWET     T2MDEW        T2M     QV10M         PS  \\\n",
       "time                                                                        \n",
       "2018-01-01 00:00:00  284.03730  284.03317  287.10890  0.007823  100905.08   \n",
       "2018-01-01 01:00:00  283.94345  283.94443  286.79376  0.007823  100865.09   \n",
       "2018-01-01 02:00:00  283.87656  283.87836  286.48932  0.007822  100819.56   \n",
       "2018-01-01 03:00:00  283.76090  283.75630  286.24753  0.007807  100793.71   \n",
       "2018-01-01 04:00:00  283.66614  283.65967  285.96360  0.007804  100791.80   \n",
       "\n",
       "                           TQV       TQL      H1000     DISPH       U2M  \\\n",
       "time                                                                      \n",
       "2018-01-01 00:00:00  34.673485  0.008423  164.23969  0.256348  0.023183   \n",
       "2018-01-01 01:00:00  34.909637  0.009235  160.25461  0.256226  0.189619   \n",
       "2018-01-01 02:00:00  35.195385  0.006260  156.44829  0.256226  0.243190   \n",
       "2018-01-01 03:00:00  35.590984  0.003489  154.54437  0.256104  0.195083   \n",
       "2018-01-01 04:00:00  35.827934  0.002314  154.16837  0.255981  0.132475   \n",
       "\n",
       "                          V2M      U50M      V50M      U850      V850  \n",
       "time                                                                   \n",
       "2018-01-01 00:00:00  0.507052  0.030755  1.167118 -0.678858  6.310610  \n",
       "2018-01-01 01:00:00  0.384886  0.424628  0.882620 -0.398818  6.162886  \n",
       "2018-01-01 02:00:00  0.296402  0.544786  0.681256 -0.217877  5.993750  \n",
       "2018-01-01 03:00:00  0.277474  0.383533  0.620761 -0.217092  5.911840  \n",
       "2018-01-01 04:00:00  0.275675  0.213028  0.631371 -0.108732  5.884082  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read and filter out by the column name\n",
    "slv = pd.read_csv('data/merra2_slv_hanoi_2018.csv',\n",
    "                 parse_dates=['time'],\n",
    "                 index_col=['time'])\n",
    "print(slv.columns)\n",
    "slv = slv[cols]\n",
    "slv.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MERRA-2 FLX group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# - QV10M 10-meter_specific_humidity\n",
    "# - QLML surface_specific_humidity\n",
    "# - TQL total_precipitable_liquid_water\n",
    "# - FRCAN areal_fraction_of_anvil_showers\n",
    "# - HLML surface_layer_height\n",
    "# - H1000 height_at_1000_mb\n",
    "# - DISPH zero_plane_displacement_height\n",
    "# - HLML surface_layer_height\n",
    "# - U2M 2-meter_eastward_wind\n",
    "# - V2M 2-meter_northward_wind\n",
    "# - U50M eastward_wind_at_50_meters\n",
    "# - V50M northward_wind_at_50_meters\n",
    "# - U850 eastward_wind_at_850_hPa\n",
    "# - V850 northward_wind_at_850_hPa\n",
    "# - SPEED surface_wind_speed, m s-1\n",
    "# - SPEEDMAX surface_wind_speed, m s-1\n",
    "cols = ['QLML','FRCAN', 'HLML',  'SPEED', 'SPEEDMAX', 'RHOA']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>QLML</th>\n",
       "      <th>FRCAN</th>\n",
       "      <th>HLML</th>\n",
       "      <th>SPEED</th>\n",
       "      <th>SPEEDMAX</th>\n",
       "      <th>RHOA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</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>2018-01-01 00:00:00+07:00</th>\n",
       "      <td>0.007674</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>63.991585</td>\n",
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       "      <td>1.593963</td>\n",
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       "    <tr>\n",
       "      <th>2018-01-01 01:00:00+07:00</th>\n",
       "      <td>0.007701</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 02:00:00+07:00</th>\n",
       "      <td>0.007720</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>63.832478</td>\n",
       "      <td>1.447317</td>\n",
       "      <td>1.493476</td>\n",
       "      <td>1.217125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 03:00:00+07:00</th>\n",
       "      <td>0.007736</td>\n",
       "      <td>0.993164</td>\n",
       "      <td>63.766266</td>\n",
       "      <td>1.390683</td>\n",
       "      <td>1.483172</td>\n",
       "      <td>1.218085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 04:00:00+07:00</th>\n",
       "      <td>0.007762</td>\n",
       "      <td>0.927490</td>\n",
       "      <td>63.718185</td>\n",
       "      <td>1.352254</td>\n",
       "      <td>1.409146</td>\n",
       "      <td>1.218972</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               QLML     FRCAN       HLML     SPEED  SPEEDMAX  \\\n",
       "time                                                                           \n",
       "2018-01-01 00:00:00+07:00  0.007674  1.000000  63.991585  1.528854  1.593963   \n",
       "2018-01-01 01:00:00+07:00  0.007701  1.000000  63.907425  1.449315  1.488964   \n",
       "2018-01-01 02:00:00+07:00  0.007720  1.000000  63.832478  1.447317  1.493476   \n",
       "2018-01-01 03:00:00+07:00  0.007736  0.993164  63.766266  1.390683  1.483172   \n",
       "2018-01-01 04:00:00+07:00  0.007762  0.927490  63.718185  1.352254  1.409146   \n",
       "\n",
       "                               RHOA  \n",
       "time                                 \n",
       "2018-01-01 00:00:00+07:00  1.215108  \n",
       "2018-01-01 01:00:00+07:00  1.216159  \n",
       "2018-01-01 02:00:00+07:00  1.217125  \n",
       "2018-01-01 03:00:00+07:00  1.218085  \n",
       "2018-01-01 04:00:00+07:00  1.218972  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# similar to FLX group, select and filter out\n",
    "flx = pd.read_csv('data/merra2_flx_hanoi_2018.csv',\n",
    "                 parse_dates=['time'],\n",
    "                 index_col=['time'])\n",
    "flx.columns\n",
    "flx = flx[cols]\n",
    "flx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "flx.index = flx.index.tz_localize(None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Concatinate data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>QLML</th>\n",
       "      <th>FRCAN</th>\n",
       "      <th>HLML</th>\n",
       "      <th>SPEED</th>\n",
       "      <th>SPEEDMAX</th>\n",
       "      <th>RHOA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>0.007674</td>\n",
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       "    <tr>\n",
       "      <th>2018-01-01 01:00:00</th>\n",
       "      <td>0.007701</td>\n",
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       "    <tr>\n",
       "      <th>2018-01-01 02:00:00</th>\n",
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       "      <td>0.007736</td>\n",
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       "    <tr>\n",
       "      <th>2018-01-01 04:00:00</th>\n",
       "      <td>0.007762</td>\n",
       "      <td>0.927490</td>\n",
       "      <td>63.718185</td>\n",
       "      <td>1.352254</td>\n",
       "      <td>1.409146</td>\n",
       "      <td>1.218972</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         QLML     FRCAN       HLML     SPEED  SPEEDMAX  \\\n",
       "time                                                                     \n",
       "2018-01-01 00:00:00  0.007674  1.000000  63.991585  1.528854  1.593963   \n",
       "2018-01-01 01:00:00  0.007701  1.000000  63.907425  1.449315  1.488964   \n",
       "2018-01-01 02:00:00  0.007720  1.000000  63.832478  1.447317  1.493476   \n",
       "2018-01-01 03:00:00  0.007736  0.993164  63.766266  1.390683  1.483172   \n",
       "2018-01-01 04:00:00  0.007762  0.927490  63.718185  1.352254  1.409146   \n",
       "\n",
       "                         RHOA  \n",
       "time                           \n",
       "2018-01-01 00:00:00  1.215108  \n",
       "2018-01-01 01:00:00  1.216159  \n",
       "2018-01-01 02:00:00  1.217125  \n",
       "2018-01-01 03:00:00  1.218085  \n",
       "2018-01-01 04:00:00  1.218972  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now will combine each dataframe using merge \n",
    "# if we have the same column name for the index, say 'time', pd.concat() can combine a list of dataframe\n",
    "flx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# PM2.5 and SLV group\n",
    "df = pd.merge(pm25, slv, right_index=True, left_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# then FLX group to the two previous dfs\n",
    "df = pd.merge(df, flx, right_index=True, left_index=True, how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# finally data from Noibai Intl Airpot\n",
    "df = pd.merge(df, nb, right_index=True, left_index=True, how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>T2MDEW</th>\n",
       "      <th>T2M</th>\n",
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       "      <th>TQL</th>\n",
       "      <th>H1000</th>\n",
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       "      <th>...</th>\n",
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       "      <th>CLDHT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8116.000000</td>\n",
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       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>8092.000000</td>\n",
       "      <td>8092.000000</td>\n",
       "      <td>5088.000000</td>\n",
       "      <td>7811.000000</td>\n",
       "      <td>7811.000000</td>\n",
       "      <td>7811.000000</td>\n",
       "      <td>7811.000000</td>\n",
       "      <td>7811.000000</td>\n",
       "      <td>5502.000000</td>\n",
       "      <td>5502.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>40.758736</td>\n",
       "      <td>293.294133</td>\n",
       "      <td>293.293231</td>\n",
       "      <td>296.359950</td>\n",
       "      <td>0.015057</td>\n",
       "      <td>100091.307728</td>\n",
       "      <td>46.593698</td>\n",
       "      <td>0.078603</td>\n",
       "      <td>94.100740</td>\n",
       "      <td>0.283273</td>\n",
       "      <td>...</td>\n",
       "      <td>4.429708</td>\n",
       "      <td>1.166763</td>\n",
       "      <td>4882.208137</td>\n",
       "      <td>178345.484317</td>\n",
       "      <td>24.536039</td>\n",
       "      <td>20.224299</td>\n",
       "      <td>219.991806</td>\n",
       "      <td>3.107528</td>\n",
       "      <td>0.376863</td>\n",
       "      <td>609.800981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>31.501209</td>\n",
       "      <td>5.838267</td>\n",
       "      <td>5.840456</td>\n",
       "      <td>6.123929</td>\n",
       "      <td>0.004624</td>\n",
       "      <td>728.034422</td>\n",
       "      <td>15.289697</td>\n",
       "      <td>0.082412</td>\n",
       "      <td>63.071034</td>\n",
       "      <td>0.065183</td>\n",
       "      <td>...</td>\n",
       "      <td>1.814446</td>\n",
       "      <td>0.033969</td>\n",
       "      <td>8266.805156</td>\n",
       "      <td>374942.058550</td>\n",
       "      <td>5.522560</td>\n",
       "      <td>6.008754</td>\n",
       "      <td>272.325200</td>\n",
       "      <td>16.012484</td>\n",
       "      <td>0.190057</td>\n",
       "      <td>348.940325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>271.761080</td>\n",
       "      <td>271.669980</td>\n",
       "      <td>275.719970</td>\n",
       "      <td>0.002889</td>\n",
       "      <td>98338.780000</td>\n",
       "      <td>12.691939</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-62.420760</td>\n",
       "      <td>0.165833</td>\n",
       "      <td>...</td>\n",
       "      <td>0.353847</td>\n",
       "      <td>1.101529</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>550.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>61.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>290.389635</td>\n",
       "      <td>290.387140</td>\n",
       "      <td>292.489165</td>\n",
       "      <td>0.011934</td>\n",
       "      <td>99467.157500</td>\n",
       "      <td>34.854736</td>\n",
       "      <td>0.011534</td>\n",
       "      <td>39.747400</td>\n",
       "      <td>0.221359</td>\n",
       "      <td>...</td>\n",
       "      <td>3.111255</td>\n",
       "      <td>1.139971</td>\n",
       "      <td>610.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>305.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>32.000000</td>\n",
       "      <td>294.918210</td>\n",
       "      <td>294.917055</td>\n",
       "      <td>297.664350</td>\n",
       "      <td>0.015914</td>\n",
       "      <td>100156.612500</td>\n",
       "      <td>46.939671</td>\n",
       "      <td>0.053711</td>\n",
       "      <td>101.305442</td>\n",
       "      <td>0.308167</td>\n",
       "      <td>...</td>\n",
       "      <td>4.308590</td>\n",
       "      <td>1.161659</td>\n",
       "      <td>945.000000</td>\n",
       "      <td>9000.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>549.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>52.000000</td>\n",
       "      <td>297.960532</td>\n",
       "      <td>297.960155</td>\n",
       "      <td>300.581087</td>\n",
       "      <td>0.019105</td>\n",
       "      <td>100572.849000</td>\n",
       "      <td>60.093417</td>\n",
       "      <td>0.118324</td>\n",
       "      <td>137.084377</td>\n",
       "      <td>0.340698</td>\n",
       "      <td>...</td>\n",
       "      <td>5.540783</td>\n",
       "      <td>1.187278</td>\n",
       "      <td>1494.000000</td>\n",
       "      <td>9999.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>270.000000</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>914.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>323.000000</td>\n",
       "      <td>301.152130</td>\n",
       "      <td>301.144470</td>\n",
       "      <td>309.323800</td>\n",
       "      <td>0.022890</td>\n",
       "      <td>102189.990000</td>\n",
       "      <td>79.528755</td>\n",
       "      <td>0.451294</td>\n",
       "      <td>266.238680</td>\n",
       "      <td>0.353638</td>\n",
       "      <td>...</td>\n",
       "      <td>14.158017</td>\n",
       "      <td>1.276222</td>\n",
       "      <td>22000.000000</td>\n",
       "      <td>999999.000000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>999.000000</td>\n",
       "      <td>999.900000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>1494.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              pm25       T2MWET       T2MDEW          T2M        QV10M  \\\n",
       "count  8116.000000  8116.000000  8116.000000  8116.000000  8116.000000   \n",
       "mean     40.758736   293.294133   293.293231   296.359950     0.015057   \n",
       "std      31.501209     5.838267     5.840456     6.123929     0.004624   \n",
       "min       0.000000   271.761080   271.669980   275.719970     0.002889   \n",
       "25%      19.000000   290.389635   290.387140   292.489165     0.011934   \n",
       "50%      32.000000   294.918210   294.917055   297.664350     0.015914   \n",
       "75%      52.000000   297.960532   297.960155   300.581087     0.019105   \n",
       "max     323.000000   301.152130   301.144470   309.323800     0.022890   \n",
       "\n",
       "                  PS          TQV          TQL        H1000        DISPH  ...  \\\n",
       "count    8116.000000  8116.000000  8116.000000  8116.000000  8116.000000  ...   \n",
       "mean   100091.307728    46.593698     0.078603    94.100740     0.283273  ...   \n",
       "std       728.034422    15.289697     0.082412    63.071034     0.065183  ...   \n",
       "min     98338.780000    12.691939     0.000000   -62.420760     0.165833  ...   \n",
       "25%     99467.157500    34.854736     0.011534    39.747400     0.221359  ...   \n",
       "50%    100156.612500    46.939671     0.053711   101.305442     0.308167  ...   \n",
       "75%    100572.849000    60.093417     0.118324   137.084377     0.340698  ...   \n",
       "max    102189.990000    79.528755     0.451294   266.238680     0.353638  ...   \n",
       "\n",
       "          SPEEDMAX         RHOA           CIG            VIS          TMP  \\\n",
       "count  8092.000000  8092.000000   5088.000000    7811.000000  7811.000000   \n",
       "mean      4.429708     1.166763   4882.208137  178345.484317    24.536039   \n",
       "std       1.814446     0.033969   8266.805156  374942.058550     5.522560   \n",
       "min       0.353847     1.101529     91.000000     550.000000     9.000000   \n",
       "25%       3.111255     1.139971    610.000000    5000.000000    21.000000   \n",
       "50%       4.308590     1.161659    945.000000    9000.000000    25.000000   \n",
       "75%       5.540783     1.187278   1494.000000    9999.000000    28.000000   \n",
       "max      14.158017     1.276222  22000.000000  999999.000000    39.000000   \n",
       "\n",
       "               DEW           WD           WS        CLDCR        CLDHT  \n",
       "count  7811.000000  7811.000000  7811.000000  5502.000000  5502.000000  \n",
       "mean     20.224299   219.991806     3.107528     0.376863   609.800981  \n",
       "std       6.008754   272.325200    16.012484     0.190057   348.940325  \n",
       "min      -1.000000    10.000000     0.000000     0.200000    61.000000  \n",
       "25%      17.000000    70.000000     2.100000     0.200000   305.000000  \n",
       "50%      22.000000   120.000000     2.600000     0.400000   549.000000  \n",
       "75%      25.000000   270.000000     3.600000     0.400000   914.000000  \n",
       "max      30.000000   999.000000   999.900000     0.800000  1494.000000  \n",
       "\n",
       "[8 rows x 30 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['pm25', 'T2MWET', 'T2MDEW', 'T2M', 'QV10M', 'PS', 'TQV', 'TQL', 'H1000',\n",
       "       'DISPH', 'U2M', 'V2M', 'U50M', 'V50M', 'U850', 'V850', 'QLML', 'FRCAN',\n",
       "       'HLML', 'SPEED', 'SPEEDMAX', 'RHOA', 'CIG', 'VIS', 'TMP', 'DEW', 'WD',\n",
       "       'WS', 'CLDCR', 'CLDHT'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation and filter out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# we will do several steps to filter out dependent columns (well correlated with existing columns)\n",
    "fig, ax = plt.subplots(figsize=(7,6))\n",
    "sns.heatmap(df.corr(), cmap='seismic')\n",
    "fig.tight_layout()\n",
    "fig.savefig('img/2020Aug-corr-heatmap.png', dpi=120, optimize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c04686a20>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,10))\n",
    "df.corr()['pm25'].sort_values().to_frame().drop('pm25').plot.barh(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## let get wind speed data in different formats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>v_2m</th>\n",
       "      <th>d_2m</th>\n",
       "      <th>v_10m</th>\n",
       "      <th>d_10m</th>\n",
       "      <th>v_50m</th>\n",
       "      <th>d_50m</th>\n",
       "      <th>v_850</th>\n",
       "      <th>d_850</th>\n",
       "      <th>v_500</th>\n",
       "      <th>d_500</th>\n",
       "      <th>v_250</th>\n",
       "      <th>d_250</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>0.507582</td>\n",
       "      <td>182.617815</td>\n",
       "      <td>0.820326</td>\n",
       "      <td>182.212835</td>\n",
       "      <td>1.167523</td>\n",
       "      <td>181.509485</td>\n",
       "      <td>6.347019</td>\n",
       "      <td>173.860069</td>\n",
       "      <td>11.257534</td>\n",
       "      <td>276.654649</td>\n",
       "      <td>23.196986</td>\n",
       "      <td>242.232266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 01:00:00</th>\n",
       "      <td>0.429060</td>\n",
       "      <td>206.227729</td>\n",
       "      <td>0.691324</td>\n",
       "      <td>206.109338</td>\n",
       "      <td>0.979452</td>\n",
       "      <td>205.692157</td>\n",
       "      <td>6.175777</td>\n",
       "      <td>176.297386</td>\n",
       "      <td>11.215821</td>\n",
       "      <td>280.471385</td>\n",
       "      <td>23.475563</td>\n",
       "      <td>241.081727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 02:00:00</th>\n",
       "      <td>0.383400</td>\n",
       "      <td>219.367919</td>\n",
       "      <td>0.617108</td>\n",
       "      <td>218.824390</td>\n",
       "      <td>0.872296</td>\n",
       "      <td>218.648565</td>\n",
       "      <td>5.997708</td>\n",
       "      <td>177.918171</td>\n",
       "      <td>10.827758</td>\n",
       "      <td>282.437516</td>\n",
       "      <td>23.842929</td>\n",
       "      <td>240.022727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 03:00:00</th>\n",
       "      <td>0.339189</td>\n",
       "      <td>215.109724</td>\n",
       "      <td>0.525337</td>\n",
       "      <td>212.637784</td>\n",
       "      <td>0.729687</td>\n",
       "      <td>211.709574</td>\n",
       "      <td>5.915825</td>\n",
       "      <td>177.896957</td>\n",
       "      <td>10.295540</td>\n",
       "      <td>282.633150</td>\n",
       "      <td>24.137831</td>\n",
       "      <td>239.375860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 04:00:00</th>\n",
       "      <td>0.305853</td>\n",
       "      <td>205.666509</td>\n",
       "      <td>0.477588</td>\n",
       "      <td>200.748694</td>\n",
       "      <td>0.666341</td>\n",
       "      <td>198.644717</td>\n",
       "      <td>5.885087</td>\n",
       "      <td>178.941354</td>\n",
       "      <td>9.500886</td>\n",
       "      <td>280.860531</td>\n",
       "      <td>24.453376</td>\n",
       "      <td>238.787131</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         v_2m        d_2m     v_10m       d_10m     v_50m  \\\n",
       "2018-01-01 00:00:00  0.507582  182.617815  0.820326  182.212835  1.167523   \n",
       "2018-01-01 01:00:00  0.429060  206.227729  0.691324  206.109338  0.979452   \n",
       "2018-01-01 02:00:00  0.383400  219.367919  0.617108  218.824390  0.872296   \n",
       "2018-01-01 03:00:00  0.339189  215.109724  0.525337  212.637784  0.729687   \n",
       "2018-01-01 04:00:00  0.305853  205.666509  0.477588  200.748694  0.666341   \n",
       "\n",
       "                          d_50m     v_850       d_850      v_500       d_500  \\\n",
       "2018-01-01 00:00:00  181.509485  6.347019  173.860069  11.257534  276.654649   \n",
       "2018-01-01 01:00:00  205.692157  6.175777  176.297386  11.215821  280.471385   \n",
       "2018-01-01 02:00:00  218.648565  5.997708  177.918171  10.827758  282.437516   \n",
       "2018-01-01 03:00:00  211.709574  5.915825  177.896957  10.295540  282.633150   \n",
       "2018-01-01 04:00:00  198.644717  5.885087  178.941354   9.500886  280.860531   \n",
       "\n",
       "                         v_250       d_250  \n",
       "2018-01-01 00:00:00  23.196986  242.232266  \n",
       "2018-01-01 01:00:00  23.475563  241.081727  \n",
       "2018-01-01 02:00:00  23.842929  240.022727  \n",
       "2018-01-01 03:00:00  24.137831  239.375860  \n",
       "2018-01-01 04:00:00  24.453376  238.787131  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let detour and get wind in speed and direction (degree from 2.4 exercise)\n",
    "dfw = pd.read_csv('data/merra2_hanoi_2018_wind_converted.csv', \n",
    "                  parse_dates=['Unnamed: 0'],\n",
    "                 index_col=['Unnamed: 0'])\n",
    "dfw.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['v_2m', 'd_2m', 'v_10m', 'd_10m', 'v_50m', 'd_50m', 'v_850', 'd_850',\n",
       "       'v_500', 'd_500', 'v_250', 'd_250'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfw.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = ['v_2m', 'd_2m', 'v_50m', 'd_50m', 'v_850', 'd_850']\n",
    "dfw = dfw[cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# and combine all data in one place\n",
    "df = pd.merge(df, dfw, right_index=True, left_index=True, how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['pm25', 'T2MWET', 'T2MDEW', 'T2M', 'QV10M', 'PS', 'TQV', 'TQL', 'H1000',\n",
       "       'DISPH', 'U2M', 'V2M', 'U50M', 'V50M', 'U850', 'V850', 'QLML', 'FRCAN',\n",
       "       'HLML', 'SPEED', 'SPEEDMAX', 'RHOA', 'CIG', 'VIS', 'TMP', 'DEW', 'WD',\n",
       "       'WS', 'CLDCR', 'CLDHT', 'v_2m', 'd_2m', 'v_50m', 'd_50m', 'v_850',\n",
       "       'd_850'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c03f89748>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,10))\n",
    "df.corr()['pm25'].sort_values().to_frame().drop('pm25').plot.barh(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.index.rename('DATE', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.rename(columns={'pm25': 'PM2.5'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save it, and we can use it later one (if needed)\n",
    "df.to_csv('data/comb_PM25_Hanoi_2018.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# and recreate the figure above with the standard name\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "fig, ax = plt.subplots(figsize=(8,10))\n",
    "df.corr()['PM2.5'].sort_values().to_frame().dropna().drop('PM2.5').plot.barh(ax=ax)\n",
    "ax.legend(['$PM_{2.5}$'], frameon=True)\n",
    "labels = [item.get_text() for item in ax.get_yticklabels()]\n",
    "\n",
    "# looking for a standard name for each abbreviation\n",
    "new_label = dict()\n",
    "for label in labels:\n",
    "    if label in list(name_.keys()):\n",
    "        new_label[label] = name_[label]\n",
    "    else:\n",
    "        new_label[label] = label\n",
    "ax.set_yticklabels(new_label.values())\n",
    "plt.title('Correlation of $PM_{2.5}$ with selected data\\nfor Hanoi 2018', loc='right')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- too many, and some duplicated data, let define a list of columns to be dropped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=['U2M', 'V2M', 'U50M', 'V50M', 'U850', 'V850'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save data as always\n",
    "df.to_csv('data/comb_PM25_wind_Hanoi_2018.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PM2.5', 'T2MWET', 'T2MDEW', 'T2M', 'QV10M', 'PS', 'TQV', 'TQL',\n",
       "       'H1000', 'DISPH', 'QLML', 'FRCAN', 'HLML', 'SPEED', 'SPEEDMAX', 'RHOA',\n",
       "       'CIG', 'VIS', 'TMP', 'DEW', 'WD', 'WS', 'CLDCR', 'CLDHT', 'v_2m',\n",
       "       'd_2m', 'v_50m', 'd_50m', 'v_850', 'd_850'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# and recreate the figure above with the standard name\n",
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "df.corr()['PM2.5'].sort_values().to_frame().dropna().drop('PM2.5').plot.barh(ax=ax)\n",
    "ax.legend(['$PM_{2.5}$'], frameon=True)\n",
    "labels = [item.get_text() for item in ax.get_yticklabels()]\n",
    "\n",
    "# looking for a standard name for each abbreviation\n",
    "new_label = dict()\n",
    "for label in labels:\n",
    "    if label in list(name_.keys()):\n",
    "        new_label[label] = name_[label]\n",
    "    else:\n",
    "        new_label[label] = label\n",
    "ax.set_yticklabels(new_label.values())\n",
    "ax.set_title('Correlation of $PM_{2.5}$ with selected data\\nfor Hanoi 2018', \n",
    "          y=1.05, fontsize=15, weight='bold')\n",
    "fig.subplots_adjust(bottom=0.1)\n",
    "fig.text(0.9,.04,s='Datasource:\\n airnow.gov ($PM_{2.5}$)\\nncei.noaa.gov (ISD)\\nnasa.gov (MERRA-2)', \n",
    "         ha='right', color='gray')\n",
    "plt.tight_layout(rect=(0, 0.1, 1,1))\n",
    "# plt.tight_layout()\n",
    "plt.savefig('img/2020Aug-PM25-allin.png', dpi=120, optimize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c045a5a90>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# less inputs\n",
    "fig, ax = plt.subplots(figsize=(6,10))\n",
    "df.corr()['PM2.5'].sort_values().to_frame().drop('PM2.5').plot.barh(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9262485548028426"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# some test to make sure we know they these are highly-dependent, \n",
    "df.corr()['T2M']['TMP']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05110859128542097"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()['WS']['v_2m']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# some cleaning\n",
    "df.loc[df.WS>20, 'WS'] = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f1c045166a0>]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# not always as expected, one from observed station, another from a ground observed stations\n",
    "plt.plot(df.index, df.WS)\n",
    "plt.plot(df.index, df.v_2m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f1c0460e1d0>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ground station reported with coarse resolution, 0.5m/s increment\n",
    "plt.scatter(df.WS, df.v_2m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9999992520668848"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()['T2MDEW']['T2MWET']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f1c04008c50>]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df.index, df.CIG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DISPH      -0.211756\n",
       "WD         -0.211602\n",
       "PM2.5      -0.192395\n",
       "CIG        -0.192119\n",
       "T2M        -0.140154\n",
       "HLML       -0.115054\n",
       "TMP        -0.102803\n",
       "d_2m       -0.097074\n",
       "d_50m      -0.094817\n",
       "DEW        -0.069703\n",
       "d_850      -0.064683\n",
       "CLDHT      -0.060311\n",
       "T2MDEW     -0.047923\n",
       "T2MWET     -0.047921\n",
       "QV10M      -0.006900\n",
       "TQV        -0.000806\n",
       "QLML        0.004860\n",
       "CLDCR       0.015283\n",
       "FRCAN       0.019606\n",
       "H1000       0.020673\n",
       "PS          0.024060\n",
       "VIS         0.038930\n",
       "RHOA        0.094989\n",
       "TQL         0.192514\n",
       "v_850       0.448324\n",
       "WS          0.499856\n",
       "v_2m        0.747837\n",
       "v_50m       0.992749\n",
       "SPEEDMAX    0.996841\n",
       "SPEED       1.000000\n",
       "Name: SPEED, dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()['SPEED'].sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9566090636828841"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()['DEW']['T2MDEW']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PM2.5', 'T2MWET', 'T2MDEW', 'T2M', 'QV10M', 'PS', 'TQV', 'TQL',\n",
       "       'H1000', 'DISPH', 'QLML', 'FRCAN', 'HLML', 'SPEED', 'SPEEDMAX', 'RHOA',\n",
       "       'CIG', 'VIS', 'TMP', 'DEW', 'WD', 'WS', 'CLDCR', 'CLDHT', 'v_2m',\n",
       "       'd_2m', 'v_50m', 'd_50m', 'v_850', 'd_850'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_drop = ['T2MWET', 'SPEED', 'SPEEDMAX', 'DEW', 'TMP']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PM2.5', 'T2MWET', 'T2MDEW', 'T2M', 'QV10M', 'PS', 'TQV', 'TQL',\n",
       "       'H1000', 'DISPH', 'QLML', 'FRCAN', 'HLML', 'SPEED', 'SPEEDMAX', 'RHOA',\n",
       "       'CIG', 'VIS', 'TMP', 'DEW', 'WD', 'WS', 'CLDCR', 'CLDHT', 'v_2m',\n",
       "       'd_2m', 'v_50m', 'd_50m', 'v_850', 'd_850'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=cols_drop, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('data/comb_PM25_wind_Hanoi_2018_v1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c04568358>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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o69atAyAtLY3bbit5PdsePXoQFxdH69atcXFx5GwoEREREZGKzyYj/PXr1yc+Pp6pU6eSm5tLfn4+rq6uBAYGcubMGZo2bcq5c+do2rSpdbrO5QwaNIhx48YxaNAgPDw8eO2110rs7969Oy+99FKJ8wJERERERExz1hF+m63D37JlS+bNm1di2969e60n1S5atOiyz127dq31frVq1Zg9e/Zl23h5ebF7927r9o0bN5ar3yIiIiIiZVHlC/5LadGihcmXv6J9IT2MZ7jsf8Z4BtS1Q8YR4wmTmW48YwhzjGf8Uu9J4xmT7bBwV/jNlr9uVE67dk00nvGPgKnGM06fftZ4xhxeMZ4RHFh6IMXmGSEHjGdk57cynpFTdJ3xjJe9pxjPwHuI+Qz3k8YjWu24/IChrezMP/XXjcrpxh0fGM+I22s8gtf3mv9dstp4wrVTwS8iIiIiUok5a8HvrP0WEREREZEy0Ai/iIiIiEgZOOv6kBW24N+yZQujRo0iJCQEgIKCAnr37k3Pnj2ZNGkSubm51pV/Jk6ciLe3t4N7LCIiIiKVmSOvllseFbbgB2jTpg0zZ84EoLCwkO7du7Nv3z7atWvHoEGDAHjppZdYsmQJQ4YMcWBPRURERKSyc9a58BW64L9YTk4Orq6u1K1bly+++IIbbriB0NBQxo0bpwtwiYiIiIhcRoUu+Ddv3kxMTAwuLi54eHgwceJEOnToQEpKCvPmzWPkyJHcdtttTJo0ifr16zu6uyIiIiJSiWmE34CLp/T8YdOmTfTt25f77ruPwsJC3n77bV5++WXmzDG/BruIiIiIVF3OWvA7Xb8XLVrEypUrAfD09OR//ud/8PT0dHCvRERERKSycy3nzVEq9Aj/pbzwwgu88MILLFy4EG9vbwICApg8ebKjuyUiIiIilZzTjZT/rsIW/OHh4YSHh5faXrduXRISEhzQIxERERER51NhC34RERERkYpEI/wVkP+GzwwnPEsSrxhNiGYW2xhlNON2YlnIdKMZh4DJmD+xejLDDSc8yZgJ1Y0mvID59+pm4F+7zC5nW48JLOJFoxkjmcrXp80eRwue4SvD/853AcN502jGk8DazWZ/djsGwtqTrYxm3N4IfH2NRpCTAw18s82GAGPOPG/09WfwE8e9g41mXMdJDtYMNZoBsHPIDMMJQyj0rWU4A/Y8bPY4VjCGPoGbjGa8TjtWP5xkNAOiDb/+tXPWheBdLBaLxdGdMMHf33zGvLPmP/YmxhNgtx0yhlSKYh8mVatmPMMl71XjGcfs8F6tNp4AYXbIOGaHjLsMF/sAqamPGs+wh7vuMp/hmmOHYn+y+f9JjR9vPIKcHPMZTZabLvah8MkxxjM8Xzd/HLRpYz7jyBHzGdEVt+D/uZzXfqrvoLLbWf8yISIiIiIiZVCpp/SIiIiIiNiKs46Uq+AXERERESkDFfxXKS4ujoyMDE6cOEF+fj5BQUEEBAQQGxtLXFwcp06dAqBFixbExsYC0LVrV/71r3/h4+NjfZ2+ffsya9YsGjVq5IjDEBEREZEqQgX/VRr/+9lEKSkpHDx4kNjYWM6dO8d9993HK6+8wi233ALARx99xFNPPcXcuXOJjIzkiy++oF+/fgDs3r0bf39/FfsiIiIiYpyzFvwVqt+pqam0bdvWWuwD3HvvvZw+fZrMzEyio6NZvny5dd+HH37IgAEDHNFVERERERGnUKEK/qysLIKCgkptb9iwIUePHuWWW27h119/5eeff6awsJBNmzbRpUsXB/RURERERKoa13LeHKVCnbTboEEDduzYUWr7oUOHqFu3LgD33XcfK1as4Prrr6djx454enrau5siIiIiUgVVqJHyq1ChCv6OHTuSkJDAd999x80338ywYcOsJ/M2btwYgD59+vDQQw8RGBhoPQ9ARERERMQ0Ffw24OPjw9y5c62r9BQUFFBcXEy1atU4evQoDRs2pEaNGjRp0oSTJ0/qZF0RERERsRsV/NfojxV3/hAcHExCQkKJbZmZmSWm7rz66qt26ZuIiIiIiLNzeMFfFpc6kVdERERExJ6cdYTfxWKxWBzdCRMef9x8RkIjO/ylISTEfMbmzcYjZtQz/16NmVDdeMYLeXnGM6pNM/9PcmzNt4xnsHev8YgLM2caz3D79FPjGUk5PYxnXLSisTG9epnPuOMO8xnBO1YYz9gU2Md4Rk6O8Qi6bnjeeMbau6YYz+h47APjGWvrDTae0TH/M+MZWbea/33VoIHxiGt23sWlXM/3cFDZ7RQj/CIiIiIijuasI/zO2m8RERERESkDjfCLiIiIiJSBs46UO7zgj4uLIyMjgxMnTpCfn29ddz82Nta6PCdAixYtiI2NxdfXlzlz5hAYGMigQYMc3HsRERERqSpcyjmH31EcXvD/cfGslJQUDh48SGxsLOfOneO+++7jlVde4ZZbbgHgo48+4qmnnmLu3LmO7K6IiIiIVFXuDi+dr0mF/MtEamoqbdu2tRb7APfeey+nT58mMzPTgT0TERERkSrL3b18NwepkAV/VlbWJdfeb9iwIUePHnVAj0REREREnFOF/LtEgwYN2LFjR6nthw4dom7dug7okYiIiIhUeU46padC9rpjx44kJCTw3XffcfPNNzNs2DDrybyNGzd2dPdEREREpCpSwW87Pj4+zJ0717pKT0FBAcXFxVSrVs06peett94iOTnZ2j4xMdGRXRYRERGRyk4Ff/n069evxOPg4GASEhJKbMvMzMTT05Phw4czfPhwe3ZPRERERKo6FfzmXepEXhERERERuTynKvivRsKhHsYzXN4IM54BWXbIML9Y02TMX6jChTnGM6ZNe9J4Rt448+9VaGuL8Yxvv51sPCMgwPxxnO452XhGAj2NZ3yQm2s8g0OHjEdk17zReMZPt/YxntFu4RTjGQwZYj4jsK/xiFFDjEewc0Mv4xlPtjEeQVyc+drn9SHGI1i92nzGNdMIv4iIiIhIJaaCX0RERESkEnPSgr9CXnhLRERERERsw1jBv2XLFkaPHl1i2/Tp00lJSQHg8OHD9O7d27rv1KlTDB06lMGDBzNq1Cjy8vIASEpKol+/fkRHR/Pll19esa2IiIiIiDHu7uW7/UlxcTHPP/88AwYMICYmhsOHD1+yzcMPP8zixYuvudsOGeFfvnw5o0eP5tSpU9ZtCQkJ9OrViw8++IAbb7yRpUuXcuLECRITE1myZAnz5s1jxowZFBYWXrKtiIiIiIhRNi7416xZQ2FhIUuXLuWpp54iLi6uVJtZs2aRnZ1drm47pOCvUaMG7733Xolt6enpdOjQAYCIiAg2bdrEzp07ad26NZ6envj5+REcHMzevXsv2VZERERExCgbF/wX17S33noru3fvLrF/1apVuLi4WNtcc7fL9ey/sHnzZmJiYqyPMzMzGTFiBJGRkaXa5uTk4OfnB/x25dyzZ8+W2PbH9pycnEu2FRERERExysYn7ebk5ODr62t97ObmRlFREe7u7uzbt4+VK1cye/Zs/vnPf5Yrx2jB36ZNG2bOnGl9PH369Mu29fX1JTc3F29vb3Jzc/H397du+0Nubi5+fn6XbCsiIiIi4kz+XOsWFxfj/vuXiuXLl/Of//yHBx98kKNHj+Lh4UHDhg2JiIi46pwKs0pPaGgo69atAyAtLY3bbruNVq1akZ6eTkFBAWfPnuXHH3+kWbNml2wrIiIiImKUjaf0hIaGkpaWBsCOHTto1qyZdd/YsWNJTk4mMTGRe++9lyFDhlxTsQ8VaB3+YcOGMW7cOJKSkggICOC1116jevXqxMTEMHjwYCwWC6NHj8bLy+uSbUVEREREjLLxlJ4uXbqwceNGBg4ciMVi4eWXX2bBggUEBwfTqVMnm+UYK/jDw8MJDw8vsS02NrbE440bN1rvBwYGMm/evFKvEx0dTXR0dIltl2srIiIiImKMjQt+V1dXpkyZUmJb06ZNS7UbPnx4uXIqzAi/iIiIiEiF5qRX2nXOXpfBI9d/ZjwjHxfjGV516hjPyDtxwnhG+M0W4xnHdpn/POrW9DSeEdra/Ht1z7fm36stxhPAo+Va4xmW9euNZ7i5mP/Mh70z23gGffsaj/A/sN14xqoDocYz3il63njGlB0rjGeM3dDHeMbO6auNZ8xe2NV4xp7Xzf+++imko/GMJ580HiEGVNqCX0RERETEpjTCLyIiIiJSiangFxERERGpxFTw/9eWLVsYNWoUISEhWCwWioqKeOCBB+jRowft27dn48aN5OfnM3nyZI4fP05eXh516tThhRdeICAggI4dO1K/fn1cXV2xWCzUrFmTuLg4MjIyWLJkSamLeTVp0oR+/fqZOBQREREREadm7GvKxVfZzc3NJSYmhsaNG1v3f/jhhwQGBhIXFwfAwoUL+ec//8mECRMAmD9/Pl5eXgDEx8eTkpJC8+bNTXVXREREROTKNMJ/eT4+PgwYMIBVq1ZZtwUGBrJs2TJCQ0MJCwsjJiYGi6X0ShUWi4WzZ8+W+LIgIiIiImJ3KvivrHbt2mRkZFgfd+vWDRcXF5YtW8YzzzxDs2bNmDBhgnUUf+jQobi6uuLi4kKrVq3o27cv6enpbN68mZiYGOvrZGZmMmLECHsdhoiIiIhUVSr4rywrK4t69epZH3/77be0bduWrl27cuHCBT7++GOeeeYZUlJSgJJTei528VQh+G0Ov4iIiIiIcU5a8LvaIyQnJ4fk5GS6d+9u3fbpp5/y7rvvAuDm5kbz5s3x9DR/USMRERERkarE2NeUP6beuLq6cuHCBYYPH06TJk2s+0eNGsXUqVO55557qFatGtWrV+ell14y1R0RERERkfJx0hF+I70ODw/n66+/vuS+jRs3AuDr68u0adMu2Wbt2ktffjo8PJzw8PAS22JjY8vRUxERERGRMlLBLyIiIiJSiangr1g2bDCfMcN8BC1PnDCesd14AuzaNdF4xmrjCRCzd6/xjG+/nWw8Y4vxBHjZDhnj1683nrHEeAJYLGOMZ+zrbv431oY1xiMYMiTYeEZ0o1PGM/burWU8Y1NgH+MZ991nPALeNP+v8LE3uxrP4OGFxiOCYwPNZ6x5x3gGfWabz7hWTlrw2+WkXRERERERcQzn/JoiIiIiImJvTjrC75y9FhERERGxNyct+O0ypWf37t0MHTqUQYMGMXDgQGbOnElhYSHjx48nLS2tRNsjR47QvHlz3nrrrRLbH3vsMesVdmNiYvjxxx/t0XURERERkd+4u5fv5iDGC/5jx47x9NNPM3HiRBYvXszixYvx8PDglVdeuexzgoOD+eKLL6yPT58+zeHDh013VURERESk0jFe8C9fvpyoqCgaN24MgIuLC0888QTr1q0jPz//ks8JCAigdu3a1lH8zz//vMRVekVERERE7E4j/JeWlZVFUFBQiW0uLi4EBgbi5eV12ef17NmTTz/9FIDU1FQ6d+5stJ8iIiIiIlekgv/SGjRoQGZmZoltxcXFZGVlkZeXd9nnde7cmbVr13LkyBHq1KmDt7e36a6KiIiIiFyekxb8xpPvuecehg4dSseOHalVqxajRo2ibt26REZGcv78+cs+z8fHh8aNGxMfH09UVJTpboqIiIiIXJmTrtJjvNf169cnPj6eqVOnkpubS35+Pq6urgQGBnLmzBleeuklZs2aBUDjxo0ZPXq09bm9e/fm+eefZ8aMGRw6dKjE644cORJPT08AwsPDGTdunOlDERERERFxOnb5mtKyZUvmzZtXYtvevXsJCgrCx8enVPukpCQAOnbsSMeOHQFo2rQpiYmJANb/ioiIiIjYjUb4r06LFi0cFS0iIiIicvWctOB3sVgsFkd3woQePcxnfLbKDtcta9nSeETerl3GMxoGmP8x+/q0i/GMEOMJUMcO79WplhHGMwrWrzeeEWc8ASb9vqSwSdflHDSeEWeHNyvEDv9A7PArkVpnzH8eb61pYjxj4EDjEfj6ms9wPbDPfEijRuYz/jQ12YjrrzefsXmz+YzfZ3dUSH+6MOxVe+QR2/TjKjnn1xQREREREXtz0hF+OwxRi4iIiIiIozjn1xQREREREXtz0hF+m/T6yJEj9OnTh5tuusm6LTw8nPnz51u3FcG8jHUAACAASURBVBQUUL16df7xj39Qo0YNfv31V6ZNm8ZPP/1EUVER9evXZ8qUKfj5+QHwn//8h65duxIXF8fdd98NwJYtW3j88cdZuXIl9evXB2D69Ok0adKEfv362eJQREREREQurSoX/AAhISEllss8cuQIaWlpJba99tprLFu2jIceeogxY8YwcOBAunTpAsDChQt5/vnnmTlzJgApKSnExMTwwQcfWAt+AE9PT5555hkWLFiAi4v5kzRFRERERACnLfjtNoffYrHw888/4+/vz9GjRzl58qS12AeIiYlhypQp1rYff/wxQ4cO5fz58+zb998z9Nu0aUONGjV4//337dV1ERERERGnZbOvKQcOHCAmJsb6eNSoUdZtZ86coaCggN69e3Pvvfeya9curv/T0lFubm7W6Txff/01zZo1o1atWvTv35/333+fF154wdp28uTJREVF0aFDB1t1X0RERETkypx0hN/olJ4/tuXn5/PYY49Ru3Zt3N3dadCgAceOHSvx/PPnz/P555/Tp08fkpKSOHLkCA899BDnz5/nhx9+IDY21to2ICCAZ599lnHjxhEaGmqrQxARERERuTwnLfjtMqXH29ub6dOnk5CQwN69e6lbty4BAQGsWbPG2mbRokWkpqZy6tQpvvvuO5KTk5k3bx6LFi2iS5cufPTRRyVes2PHjjRu3LjUdhERERERI9zdy3dzELvN4Q8MDGTs2LE8//zzFBcX8+qrr7Jy5UoGDx5MVFQUe/bs4cUXX+Tjjz+ma9euuLm5WZ8bHR3NBx98wJ8vCvzcc8/h7e1tr0MQERERkarMSQt+myRff/31JCUl/eW2Pn360KdPHwBq1arFrFmzSr3W3//+91LbWrVqxapVq4DfTtr9g6+vL19++WW5+y8iIiIiUlk550QkERERERF7c9I5/M7Z6wriH3+aYmTCuV27jGfUMp4Ap08/azzj2F83Kbfmn35qPON0z8nGMyzr1xvPWGI8ASY1bmw844V//9t4xgn6GM8YOmS58YyfjpifJVrrzEHjGQQGGo84dMh4BP5kG8/Yd8DfeEazCROMZ6Q9mfTXjcopYtZ44xksW2Y+Y+VK8xkdO5rPuFYq+EVEREREKjEnLfjtdtKuiIiIiIjYn3N+TRERERERsTeN8F/eli1bGD16dIlt06dPJyUlhejo6FLtx48fz+23305hYaF1W0ZGBs2bN2fLli2XfD0REREREaOcdFnOCjulp06dOqSlpVkff/LJJwQFBTmwRyIiIiJSpangt62ePXuy8vczwYuLi8nIyODmm292cK9EREREpMpy0oLfbsmbN28mJibG+jgzM5MRI0Zctn2rVq1YvXo1586dY8eOHYSHh/Pjjz/ao6siIiIiIpWG3Qr+Nm3aMHPmTOvj6dOn/+VzOnXqRGpqKps2beLxxx9nxowZJrsoIiIiInJ5TnrSboXuda9evXj55ZdxcXHR/H0RERERcSwV/Ndm//799OvXz/p4/Pj/XomuadOmnD59mv79+5d63saNG0s877XXXqOxHa66KSIiIiJVlAr+ywsPDyc8PLzEttjYWIASRfsfwsLCrPdTUlKs9y+eErR161Zbd1NERERE5PKctOCvsKv0iIiIiIhI+Tnn15Qy+IwexjNcGGw8A4rtkOFjPGEOrxjPuIs3jWcszTH/c5VAT+MZbi4W4xkWyxjjGU/nmD+R/wR9jGdM5hPjGcV2GN8JLjpoPOMgTYxn+OYbj+Bl9+eNZxR6TzGe0Yx9xjO6nkkynrHad7vxjIiTKX/dqJyWnTQeQexJ8793FxlPKAcnHeF3zl6LiIiIiNibCn4RERERkUrMSQt+zeEXEREREanEjH5N2bJlC6NGjSIkJASA3Nxcrr/+ekaPHs24ceNISvrvvLzFixdz8uRJhg8fTm5uLjNnzuT777/HxcUFX19fxo0bV2LZzbfffpt3332X1NRUvLy8TB6GiIiIiIjNR/iLi4uZPHkyP/zwA56enrz44ovccMMN1v1JSUksWbIEd3d3hg0bRmRk5DXlGP+7xJ+vsPvUU0+xdu3aKz5n4sSJtG7dmgkTJgCwd+9ennjiCZYuXYqfnx8AK1asoEePHnz66aeXXNpTRERERMSmbFzwr1mzhsLCQpYuXcqOHTuIi4vjjTfeAODEiRMkJiby4YcfUlBQwODBg2nfvj2enp5XnWPXKT2FhYUcP34cf3//y7Y5deoU+/btIyYmxrqtRYsWREZGsnr1auC3vxwEBwczcOBA3n//feP9FhERERHB3b18tz9JT0+nQ4cOANx6663s3r3bum/nzp20bt0aT09P/Pz8CA4OZu/evdfW7Ws72rLbvHkzMTEx/PLLL7i6uhIdHU3btm155ZVXShT1x48fp1evXhw5coSgoKBSrxMUFERWVhYAycnJREVF0aRJEzw9Pfnuu++45ZZbTB+KiIiIiFRh5V3i+M/PzsnJwdfX1/rYzc2NoqIi3N3dycnJsc5sAfDx8SEnJ+eacu02pef06dMMHTqU66+/HoCQkBASExOt7f6Yw3/ddddZC/uLHT58mKZNm/Lrr7+SlpbGqVOnSExMJCcnh/fee08Fv4iIiIg4FV9fX3Jzc62Pi4uLcf/9LwF/3pebm1viC8DVsNuUnoCAAOLj45kwYQInTpy4bLt69eoRHBxcYqpORkYGa9eupWvXrqxYsYL+/fszf/585s2bR1JSEhs3buTUqVP2OAwRERERqaKKisp3+7PQ0FDS0tIA2LFjB82aNbPua9WqFenp6RQUFHD27Fl+/PHHEvuvhl0XEw0JCSEmJoYFCxZcsd20adN49dVXiYqKws3NDX9/fxISEvD39yc5OZlXX33V2rZatWp07dqVpKQkHnvsMdOHICIiIiJV1KWK9qvx5/Ntu3TpwsaNGxk4cCAWi4WXX36ZBQsWEBwcTKdOnYiJiWHw4MFYLBZGjx59zStTGi34w8PDCQ8PL7Ft2LBhl2w7aNAg6/3q1aszefLkS7ZbsWJFqW2XaysiIiIiYivlLfj/zNXVlSlTppTY1rRpU+v96OhooqOjy53jnJcLExERERGxM1sX/PbiYrFYLI7uhBEffGA84qc7BhvPsMcPlj2uEh0ceM54xtrN1Y1nvPOO8Qg+eMf8e2WPA9nXfYTxjA0bjEcwdEix8YzyrvpQFlPdXIxnxPxo/n8nTY5tMp4xdnk74xk1axqPYNhz5j/zcf9n/jN/K+TVv25UTgm+Y41nPJ4/w3jGpjZjjGdctGqkMY88Yj7jWpX3lNFatWzTj6ulEX4RERERkTJw1hF+FfwiIiIiImWggl9EREREpBJTwW8D+/fvJz4+nry8PM6dO8edd97J8OHDueOOO9i4cSMAmzZtYu7cuRQWFuLu7k7Dhg157rnnrvlCBCIiIiIilVmFKfizs7MZM2YMc+bMoVGjRly4cIGRI0eyZMkSa5u9e/cSHx/Pm2++Sd26dQFYuHAh77zzDqNHj3ZU10VERESkCtAIfzmlpqYSHh5Oo0aNAHBzc2PatGl4eHjw+uuvA7B48WKGDRtmLfYBhgwZ4oDeioiIiEhVo4K/nI4fP05QUFCJbT4+PiUeHzlyhODgYAAyMzN59tlnsVgsXLhwgcWLF9utryIiIiJS9ajgL6cGDRqwZ8+eEtsyMzM5duyY9XH9+vU5cuQILVq0ICgoiMTERAoKCrj77rvt3V0RERERqWKcteA3f7WXMoqMjGT9+vX89NNPAJw/f564uDj27dtnbTNw4EDeeOMNjh8/bt22efNmu/dVRERERMRZVJgRfl9fX+Li4pgwYQIWi4Xc3FwiIyMZPHgwCQkJALRs2ZKxY8cyfvx4zp8/T15eHnXr1mX27NkO7r2IiIiIVHbOOsJfYQp++K2gX7RoUantfyzJCRAeHk54eLg9uyUiIiIiooJfRERERKQyc9aC38VisVgc3QkT/nT+rxE7dpjPuOMO8xnbtpnP6Bey03jG2pOtjGdcdA65MYNvtcMPr6+v8Yj5a4KNZ4SEGI/g95WCjQouOmg84yBNjGckNnUxnjEpN9d4RrF3deMZ9jj9rN395j/z4gPmf3ZzcoxH4J+TZTwj27eB8Qz/Mz8Zz0jabP53e3S08YhrlpZWvudHRNimH1erwpy0KyIiIiIitqcpPSIiIiIiZeCsU3pU8IuIiIiIlIGzFvwVakrP/fffz9dff11i24svvkhERIT1Srrr1q3jwQcf5IEHHiA6OpoVK1Y4oqsiIiIiUsUUFZXv5igVaoQ/KiqKjz/+mLZt2wJQWFjIl19+Sc+ePa1tJk2axIoVK/D39ycnJ4d77rmH9u3bU7t2bUd1W0RERESkwqpQI/zdu3dn8+bN5OXlAZCamkr79u2pXv2/Kyb4+fmxaNEi9u/fj4+PD59//rmKfRERERExzllH+CtUwe/l5UXnzp3517/+BUBKSgoDBw4s0Wb+/Pnk5eUxZswY7rjjDubOnUslXVlURERERCoQFfw28se0nv/85z9kZ2dz4403Wvf9+uuvZGVl8fTTT/PJJ5+QkpLC+vXr+fLLLx3YYxERERGpClTw20jz5s3Jzc1l0aJF9O/fv8S+wsJCRo8ezcmTJwGoU6cOgYGBeHp6OqKrIiIiIlKFOGvBX6FO2v1D//79iY+PLzVyX6dOHZ577jkeffRR3N3duXDhAnfddRd32ONytCIiIiIiTqhCFvxRUVFERUVZHw8fPtx6v1OnTnTq1MkR3RIRERGRKsxZ1+GvkAW/iIiIiEhF46wFv4ulsi5xY48Lct11l/mM389XMOr6641HZOebP8/C19d4BEeOmM+oWdN8hv+B7cYzim8NNZ5x5ozxCGqdOWg84yBNjGc0ObbJeAa33mo84gUfH+MZ/wgw/7/FAweMR1Dr5D7jGUk7mhnPiG65x3jG7DU3/nWjchrR3fzn8ZO3+c/DHgVvE/O/Eq/ZW2+V7/mPPGKbflwtjfCLiIiIiJSBs47wV7hVekRERERExHY0wi8iIiIiUgbOOsJfYQr+Bx98kKeeeopWrVpRWFhI27ZtGTZsGA8//DAAMTExfP/99zRq1Ihq1apx/vx5rr/+ep577jkCAgIc3HsRERERqeycteCvMFN62rdvz7Zt2wBIT0/njjvuYN26dQAUFBRw9OhRWrRowbRp00hMTGTJkiVERETw/PPPO7LbIiIiIlJFOOuFtypMwd+uXTtrwb9u3TqioqI4e/YsZ8+e5dtvvyUsLAwXF5cSz+nTpw8ZGRkUFBQ4ossiIiIiIhVehSn4b7zxRg4ePIjFYuGbb74hLCyMtm3bsmnTJrZu3UqHDh0u+Tx/f3+ys7Pt3FsRERERqWo0wl9Orq6utGjRgrS0NOrUqYOnpycRERFs376d9PR02rdvX+o5FouFkydPUrt2bQf0WERERESqEhX8NtC+fXvmzp1rHc2/7bbb2LNnD8XFxdS8xNWIli1bRps2bXB1rVCHISIiIiKVkLMW/BVmlR74bR7/hAkTePXVVwHw9PTEz8+Pv/3tb9Y248aNo1q1agDUrVuXSZMmOaSvIiIiIlK1OOsqPRWq4G/YsCE//PBDiW0JCQnW+4mJifbukoiIiIiIU6tQBb+IiIiISEWlEf4KJvq9PsYzku6yw+pA3t7mM86cMR6RU3Sd8Qx/zH8ewTu+Mp7x063mf3ZXHQg1nhHd6JTxjFp2+NklMNB4hG++8QjGLm9nPCOujfEI/hFgMZ4x8rTLXzcqJ29v88eR5dvMeEb0/Z7GMzZ9VWg8Y8Qo8+cCbt1cbDwj7EiK8Qxuv918BsF2yLg2KvhFRERERCoxFfwiIiIiIpWYsxb8Ws9SRERERKQSq1AF/4MPPsjOnTsBKCws5LbbbuOdd96x7o+JiWHXrl088sgjDB06lOjoaOLj4ykuNj8vTkRERESqNmddh79CFfzt27dn27ZtAKSnp3PHHXewbt06AAoKCjh69Chvv/02999/P/Pnz2fp0qUcOnSI1NRUR3ZbRERERKoAFfw20K5dO2vBv27dOqKiojh79ixnz57l22+/JSwsjDp16vDRRx+Rnp5OUVERs2bNonPnzg7uuYiIiIhUdir4beDGG2/k4MGDWCwWvvnmG8LCwmjbti2bNm1i69atdOjQgXHjxnHLLbcwY8YM2rVrxzPPPMPZs2cd3XURERERkQqpQhX8rq6utGjRgrS0NOrUqYOnpycRERFs376d9PR02rdvz+bNmxkyZAjvv/8+X331FdWrVy9xNV4RERERERM0wm8j7du3Z+7cuXTo0AGA2267jT179lBcXEzNmjWJj49n69atAPj4+NC4cWM8Pc1f+ENEREREqjYV/DbSrl070tPTufPOOwHw9PTEz8+PsLAwAGbNmsUbb7xBv379GDhwIBkZGTzyyCOO7LKIiIiIVAHOWvBXuAtvNWzYkB9++KHEtoun7DRt2pQFCxbYu1siIiIiUsXpwlsiIiIiIlLhVLgRfltJui/JeMaUWdHGM8DfeEJ+vvEIXvaeYjxjzJnnjWfcd18f4xntFpp/r94pMv9e7d1by3hGvXrmMw4dMh7By+7mP4+aNc3/XG3ebDyCAwfMZ3h7W4xnxPu4GM+Y9OmnxjM4c8Z4RM1DxiPs8j9CXzv87J7r3s94RvWTPxnPqMicdYS/0hb8IiIiIiK2pIJfRERERKQSU8EvIiIiIlKJVfmCf//+/cTHx5OXl8e5c+e48847uffee3nqqadISio5n378+PFkZGRQs2ZNioqKCAgI4JlnniEoKAiANWvW8O677wKQn5/PQw89RPfu3UlJSWH27NnWdtnZ2YSGhjJp0iRbHYaIiIiISKVik4I/OzubMWPGMGfOHBo1asSFCxcYOXIkGzZsuOxznn76aSIiIgDYtm0bo0aN4sMPP2T79u0sXLiQuXPn4uPjw+nTpxkwYAAhISEA9OrVi9jYWACKi4sZPHgwu3bt4uabb7bFoYiIiIiIXJI9Rvjz8/N5+umn+eWXX/Dx8WHatGnUqlV6kYq8vDwGDhzIU089Za2pL8cmy3KmpqYSHh5Oo0aNAHBzc2PatGm0adOmTM+//fbb8fDw4PDhwyQnJ/Pggw/i4+MDQEBAAMnJyTRt2rTU83Jzczl79ix+fn62OAwRERERkcuyx4W3Fi9eTLNmzfjggw/o27dvietRXWzKlCm4uJRtxS+bjPAfP37cOs3mDz4+Pnh4eJT5NWrXrs3p06cv+Vo1atSw3l+5ciU7duzgxIkT+Pj48Nhjj1m/aIiIiIiImGKPEf709HQefvhhACIiIi5Z8M+bN4/WrVtjsZRtGWGbFPwNGjRgz549JbZlZmZy7NixMr9GVlYW9erVo0GDBvz888+0aNHCui89PZ3AwEDgv1N6MjMzefjhh1Xsi4iIiIhTSk5Otp63+ofatWtbZ6/4+Phw9uzZEvu//vprDh8+zJQpU9i+fXuZcmwypScyMpL169fz00+/XYzh/PnzxMXFsW/fvjI9f+PGjXh7e1OvXj369evHvHnzOHfuHAC//PILzz77LHl5eSWeExQUxKRJkxg5cmSpfSIiIiIitmbrKT1RUVGsXLmyxM3Pz4/c3Fzgt+nr/v4lL8K6bNky9u3bR0xMDOvXryc+Pp7vv//+iv22yQi/r68vcXFxTJgwAYvFQm5uLpGRkURERDB9+nT69fvvld/Gjx8PQHx8PG+//Taurq74+Pgwa9YsAFq3bk10dDRDhw7F3d2d/Px8xowZQ4sWLUr9FaFdu3a0a9eO2bNnM27cOFscioiIiIjIJdljSk9oaCjr1q2jVatWpKWlcdttt5XY/9prr1nvjx8/nh49evC3v/3tiq9ps2U5W7ZsyaJFi0pt//bbb0ttCwsLu+Jr9enThz59+pTafvEXhz+8+OKLV9FLEREREZFrY4+Cf9CgQYwbN45Bgwbh4eFhLfBfffVVunfvTqtWra76NXXhLRERERGRMrBHwV+tWjVmz55davvYsWNLbYuLiyvTa7pYynp6r7MpLjYese+ATU6BuKJm9bKNZ+w75v/XjcqpmfdPxjOOewcbz9ixw3gEXVuYf6/scSCbAkv/lc7WWrY0HoE/5v8NFnqb/zeY61W2pdvKI6BxY+MZrFplPCLLt5nxjAY7PjOe8ULPnsYzojLMlxDe3sYjcLfD8Kc9CsU1a8xn2OPzeOAB8xnXqkmT8j3/4EHb9ONqaYRfRERERKQM7PHFzQQV/CIiIiIiZaCCX0RERESkElPBD+zfv5/4+Hjy8vI4d+4cd955J/feey9PPfUUSUlJJdqOHz+ejIwMatasSVFREQEBATzzzDMEBQUxZ84cAgMDGTRokLV9dHQ0M2bMYObMmRw/fpyjR4/i4eHBddddR7NmzZg4caItD0VEREREpFKwWcGfnZ3NmDFjmDNnDo0aNeLChQuMHDmSDRs2XPY5Tz/9NBEREQBs27aNUaNG8eGHH14x54+liS71pUBERERExBRnHeG32TIzqamphIeH06hRIwDc3NyYNm0abdq0KdPzb7/9djw8PDh8+LCtuiQiIiIiYjO2vtKuvdhshP/48eMEBQWV2Obj44OHh0eZX6N27dqcPn0agIULF/LZZ/9dtuzAgQO26aiIiIiIyDVw1hF+mxX8DRo0YM+ePSW2ZWZmcuzYsTK/RlZWFvXq1QNgyJAhpebwi4iIiIg4irMW/Dab0hMZGcn69ev56affLhp0/vx54uLi2LdvX5mev3HjRry9va0Fv4iIiIiIlJ/NRvh9fX2Ji4tjwoQJWCwWcnNziYyMJCIigunTp9OvXz9r2/HjxwMQHx/P22+/jaurKz4+PsyaNctW3RERERERsSlnHeG36bKcLVu2ZNGiRaW2f/vtt6W2hYWFXfZ1hg8fXmrbn5f1vFQbERERERFTLJbicr6CzSbXXBVdeEtEREREpEwulPP5Kvht6rNV5t/QwEDjEVAz33jEmTP+xjNwP2k8IqdmsPGMrhueN55BYF/jEWM39DGecd99xiPw9TWfse+A+X8fzSjbuU7l8eT/WYxnvPmm8QiWLTOfEX2/p/mQM2eMR0RlmP/Mk29yMZ7R+F3zxxH0oPnj+Pl988fxyI7HjWfseTLBeEbFVt6Cv+yrV9qSY75miIiIiIiIXVTaEX4REREREdsq7wi/Y6jgFxEREREpk/KetOsYKvhFRERERMpEI/w28f333zN16lTc3Nzw9PRk2rRpBNrl7FgRERERkcqnwp20+9JLLzFx4kQSExPp0qULb7/9tqO7JCIiIiLCbyP85bk5ht1G+J988kkeeOABwsLC2LVrFwkJCbzxxhul2s2YMYPrrrsOgAsXLuDl5cWRI0cYPXo09evX58iRI/Ts2ZP9+/ezZ88e7rrrLsaMGWOvwxARERGRKktTeq4oKiqKjz76iLCwMFJSUoiOjr5kuz+K/e3bt/Pee+/x/vvvc+7cOTIzM5k/fz75+fl06tSJtLQ0qlWrRmRkpAp+EREREbED5yz47Talp0OHDuzatYszZ86wbds2IiIiLtv2s88+Y9KkSbz11lvUqlULgKCgIPz8/PD39ycwMJCaNWvi5eWFi4v5i2WIiIiIiPy2Sk95bo5htxF+V1dXunfvzuTJk+ncuTNubm6XbPfxxx+zdOlSEhMTqVmzpnW7CnsRERERkatn11V6+vfvT+fOnfniiy8uuf/ChQu89NJL1K9fn+HDhwPwv//7v/Tr18+e3RQRERERuQTnnNJj14K/fv36ZGRkXHa/m5sbW7duveS+pKQkALy8vFi7dq11+8aNG23bSRERERGRS3LOgt/FYrFY7B2alZXFuHHjSm3/3//9X0aMGGGTjGI7TJNyvX+w+RB7XIPgzBnjEa12LDKesXPIDOMZa281f4L4qFHGI9g5fbX5kCVLzGeMH28+Y8IE4xFdzyQZz1jd+VXjGdmPjTWe4X9kj/GMTWduNJ5x0YxVY7y9zWds2GA+498Pmp/SG7nOfCm05U7zx/F0errxDN5803zGW2+Zz7hGLi4HyvV8iyXERj25Og658FaDBg1ITEx0RLSIiIiIyDVyzhH+CnfhLRERERERsR2HjPCLiIiIiDgfxy2tWR4q+EVEREREykRTesqsoKCAjh07Xnb/woULiYqKIioqitdff92OPRMRERERuZwL5bw5RoWbw5+ZmcmKFStYsmQJSUlJbNiwgb179zq6WyIiIiIiTsluU3pyc3OJjY0lOzub4ODgy7arV68e77zzjvVKvEVFRXh5eTFnzhwOHz7M6dOnOXPmDP/v//0/Vq9ezb///W+mTZvGrbfeaq9DEREREZEqSVN6rmjJkiU0a9aM999/n4EDB162nYeHB7Vq1cJisTBt2jRuvPFGGjduDIC3tzfz5s2jW7durFu3jjfffJNHHnmETz/91F6HISIiIiJVlqb0XNGhQ4e4+eabAbjllltwd7/8HxcKCgqIjY0lNzeXSZMmWbffeONvF0Px8/MjJOS3CxfUqFGDgoICgz0XEREREYHfVukpz80x7FbwN23alB07dgCwZ88eioqKLtnOYrHw+OOP07x5c6ZMmWKd2gPg4mL+KnUiIiIiIpfmnCP8dpvDP2jQIMaOHcugQYNo0qQJHh4el2y3Zs0atm7dSmFhIevXrwdgzJgx9uqmiIiIiEilYreC38vLi3/84x9/2a5Lly7s2rWr1PbWrVtb7w8aNMh6v3PnznTu3Nk2nRQRERERuSznPGnXxWKxWBwRvHTpUlauXFlq+5gxY0oU99fqrbfK/RJ/qXt38xm7d5vPuOsu8xnV808Zzyj0rWU8w3PZB8Yz6NXLeMTshf7GMx57zHgEnhQaz0jb7Gk8I8J3u/GMhM2hxjMe75tlPGP2sgbGM0aMssNs1/x84xE/HTP/s/vjDean2rqtM1+mfHmn+ePostH8cbQbePlVEG1lz6qfjGf8fspmE/gsTgAAIABJREFUheTi8lW5nm+x3GWTflwth11pd8CAAQwYMMBR8SIiIiIiV8k5R/gdVvCLiIiIiDgXx620Ux4V7kq7IiIiIiJiOxrhFxEREREpE03puWp79uzh0UcfpVGjRsBvq+/06NGD119/na+++gp3d3eeffZZWrVq5chuioiIiIiggv8aZGRk8Pe//52hQ4eW2LZ161aSk5P5+eefGT58OB9++KEDeykiIiIiAir4L/Lkk0/ywAMPEBYWxq5du0hISOCNN94o1W737t38+9//JjU1lRtuuIFnn32W9PR07rjjDlxcXGjQoAEXLlzg1KlTjBw5kubNm7N//36qV6/O7bffzoYNG8jOzmb+/PnUqFHDxKGIiIiIiDg1IyftRkVF8dFHHwGQkpJCdHT0Jdu1atWKsWPH8v777xMUFMQ///lPcnJy8PX1tbbx8fHh7Nmz1vbvvvsuhYWFeHt7s2DBAkJCQvjmm29MHIaIiIiIyEWKy3lzDCMFf4cOHdi1axdnzpxh27ZtREREXLJdly5daNmypfX+nj178PX1JTc319omNzcXPz8/AG666SYA/P39CQkJsd4vKCgwcRgiIiIiIhe5UM6bYxgp+F1dXenevTuTJ0+mc+fOuLm5XbLdQw89xM6dOwH4+uuvuemmmwgNDWXDhg0UFxeTlZVFcXExtWqZv4KqiIiIiMiVOWfBb+yk3f79+9O5c2e++OKLy7aZPHkyU6dOxcPDg8DAQKZOnYqvry+33347AwYMoLi4mOeff95UF0VEREREroJO2i2hfv36ZGRkXLHNTTfdxJIlS0ptHz58OMOHDy+xLTEx0Xp/5syZ1vvPPfdcOXsqIiIi/7+9+w6L6tr6B/6lDL1YsICIRqJXBRPF3rBEDbyKlWoEG0ZBYwQL8ItdFDWiRhFNxAYX7EhUosbyCpfEBnYIaoh0CwoIM9LZvz+4c14QMBr2GUTW53l8nuHMuNeZetbZZ++1CSEfLyXGGBMzQGZmJry8vKpt7927N+bPny9a3HIFzItQdqx5MjJXTZqIH0MqFT1E19thosdIcN0seoxL3T1FjzFvnughkBBwSfwg+/eLH2PpUvFjeHuLHsLyRbjoMaLHi//9yHMV//uh9/Sh6DGu53YSPUal2hSi0dAQP8bVq+LHyPhKSfQYA38TNRUCAJwfKP7zWBEXJ3oMbNokfoww8XOGf0pJ6d91+v+MTeG0J+9H9Dr8RkZGVXrnCSGEEEIIaZjqr9JOXdTrwluEEEIIIYQ0HDSGnxBCCCGEkI9Yw0z4RSnLSQghhBBCCPkwiNrDX1RUBGtra1y6VPMEQV9fX9y8eRPa2toAgMDAQJSUlGDRokUoLCxEy5Yt4efnB01NTTF3kxBCCCGEkHcgfg9/YWEhFi9ejJcvX0JbWxsbNmyotiaVn58f4uLioKysDC8vL/Ts2fOtbdZrD398fDyCgoIQEhKCkJAQ6OrqIjAwEGPGjEFYWBi6du2Kw4cP1+cuEkIIIYQQ8l/iL7x18OBBdOrUCWFhYRg/fjwCAwOr3J+YmIhbt27h6NGj2LhxI9auXfu3bXLv4ZfJZFi0aBHy8vJgYmJS6+PKy8uRkpKC5cuX48WLF7C1tYWtrS3i4uIwe/ZsAIClpSU2b96MESNGwMPDA4aGhkhPT8fo0aPx6NEjJCQkYOjQofD0FL8UHCGEEEIIaezEr9ITFxcHV1dXABW58JsJf8uWLaGhoYHi4mJIpVKoqv59Os894T906BA6deoEDw8P3LlzB9euXavxca9fv8aUKVMwffp0lJWVwcXFBebm5pBKpdDV1QUAaGtrIz8/HwCQlpaGvXv3orCwEF988QWio6OhqamJYcOGUcJPCCGEEEIanKNHj+LAgQNVtjVv3rzGXFhOVVUVysrKsLa2Rn5+PtasWfO3cbgn/MnJyRgyZAgA4PPPP6/1rENTUxMuLi7C+Px+/fohMTEROjo6kMlk0NDQgEwmg56eHgCgbdu20NXVhZqaGgwMDNDkvwtSKSmJv5AFIYQQQgghvMfw29nZwc7Orsq2efPmQSaTAUCVXFguIiICBgYG2LNnD2QyGSZPnozu3bujdevWtcbhPobf1NQUt2/fBgAkJCSgtLS0xsclJyfDyckJZWVlKCkpwc2bN2FmZgYLCwtERUUBAKKjo4VJCJTYE0IIIYSQ+iX+GP7acmE5PT09aGlpQUVFBdra2lBTU8Pr16/f2ib3Hn4nJycsWbIETk5O6NChAyQSSY2PMzU1xbhx42Bvbw+JRIJx48ahY8eOcHNzg5eXF44cOYKmTZvC398f2dnZvHeTEEIIIYSQ9yR+lR4nJyd4eXnByckJEokE/v7+AICNGzfCysoKNjY2uHnzJhwdHVFWVgYbGxt06NDhrW1yT/jV1dXxww8/vNNjXV1dhUkJcvJLFJVpaWnhyJEjQvuVy3z+9ttvddxjQgghhBBC3oX4Cb+mpia2bdtWbfuSJUuE26tXr36vNpUYY6zOe/YWhw8fxunTp6tt9/T0RI8ePUSL+9/zA1HZD8oUPUaejpHoMfSePhQ9xsnETqLHGGvwu+gxkJsreoiTpf8jeozu3UUPAZPcu+IH+fRT8WNoaIge4vkL8Ssk//mn6CEwwDhV9BipqL36Gy8mseGix3htNVH0GP/+t+gh8PVtd/GDvNExKIrx48WPEREheohVf1OLnQefIlHTRgCAmproIf4xJaX1dfr/jHlz2pP3I+rCWwDg4OAABwcHscMQQgghhBAiMvF7+MUgesJPCCGEEELIx0H8OvxioISfEEIIIYSQd0I9/IQQQgghhHzEKOH/x/744w+sWLECKioqaN++PdauXQtlZWX4+vri5s2b0NbWBgAEBgaipKQEixYtQmFhIVq2bAk/Pz9h8S5CCCGEEEJIVeKXhngHAQEBmDt3Lg4ePIji4mJcvnwZABAfH4+goCCEhIQgJCQEurq6CAwMxJgxYxAWFoauXbvi8OHD9bvzhBBCCCGkkRB/4S0xiJrwz5s3D9evXwcA3Lt3D25ubjU+rkuXLsjNzQVjDDKZDKqqqigvL0dKSgqWL18OR0dHHDt2DAAQFxeHwYMHAwAsLS3x++8KKMVICCGEEEIIyuv4r36IOqTHzs4OJ06cQJ8+fRAeHg57e/saH9e+fXusXr0aO3fuhK6uLvr27YvXr19jypQpmD59OsrKyuDi4gJzc3NIpVLo6uoCALS1tZGfny/mUyCEEEIIIeS/GuYYflF7+AcPHox79+4hNzcXsbGxsLS0rPFxa9euRWhoKM6ePYvx48dj/fr10NTUhIuLCzQ1NaGjo4N+/fohMTEROjo6kMlkAACZTAY9PT0xnwIhhBBCCCENmqgJv7KyMqysrLBy5UqMGDECKioqNT5OX18fOjo6AICWLVsiLy8PycnJcHJyQllZGUpKSnDz5k2YmZnBwsICUVFRAIDo6Gj0VMCqcoQQQgghhDTUMfyiV+mZNGkSRowYgXPnztX6GF9fX3h4eEBVVRUSiQRr1qyBsbExxo0bB3t7e0gkEowbNw4dO3aEm5sbvLy8cOTIETRt2hT+/v5iPwVCCCGEEELQUIf0iJ7wGxoaIj4+/q2P6dWrFw4dOlRtu6urK1xdXatsMzAwwJ49e7juIyGEEEIIIX+PEv63yszMhJeXV7XtvXv3xvz587nHs7dVwEzoeb6ih9D771AnURUWih4iIHGb6DHGuqaLHiNzUM0Tz3kKmCZ6CMybJ34MkwtB4gcZP178GKdPix5i0YvNoscYNEj0EEhPNxE9Rq9eoodQSBCtF6mix9DQEP/9SJgXKHqMrlu/Fj1Gwlnx34+uvpNFj+FTxESP4aeuJHqMFUz85/HP1V+lnbpQWMJvZGSEkJAQRYUjhBBCCCGE4ANZaZcQQgghhJAPHw3pIYQQQggh5CNGCT8hhBBCCCEfsYaZ8Itah7+yoqIiDB8+vNb79+7di4kTJ2LSpEk4f/48AIAxhsGDB8PZ2RnOzs5CCc5Lly5h0qRJcHBwwJEjRxSy/4QQQgghhDREH0QPf15eHoKDg/Hrr7+ioKAA48ePx8iRI5GamgozMzPs2rVLeGxJSQn8/Pxw7NgxaGpqwsnJCcOHD4eBgUE9PgNCCCGEEPLxa5g9/KIm/DKZDIsWLUJeXh5MTGovD6apqQkjIyMUFBSgoKAASkoVJZ/i4+Px7NkzODs7Q0NDAz4+PiguLoaJiQn09fUBAD179sSNGzdgbW0t5lMhhBBCCCGNHiX81Rw6dAidOnWCh4cH7ty5g2vXrtX6WENDQ4wePRplZWWYPXs2AKBFixb4+uuvYW1tjdjYWCxevBg+Pj7Q1dUV/p+2tjakUqmYT4MQQgghhBBQHf4aJCcnY8iQIQCAzz//HKqqNYeLjo7G8+fPcfHiRQDAzJkzYWFhAXNzc6ioqACoWI33+fPn0NHRgUwmE/6vTCarcgJACCGEEEKIOBpmD7+ok3ZNTU1x+/ZtAEBCQgJKS0trfJy+vj40NDSgpqYGdXV16OrqIi8vDwEBAThw4AAAIDExEYaGhjA1NUVKSgpyc3NRXFyM2NhY9OjRQ8ynQQghhBBCSIMlag+/k5MTlixZAicnJ3To0AESiaTGx/Xq1Qu///477O3toaysDAsLCwwcOBDdunXD4sWLERUVBRUVFfj5+UEikcDb2xszZ84EYwyTJk1Cq1atxHwahBBCCCGEoKH28Iua8Kurq+OHH354p8fOnz8f8+fPr7JNX18fP/30U7XHDh8+/K0lPgkhhBBCCOGPEv6/dfjwYZw+fbradk9PTxqWQwghhBBCPnANc9KuEmOM1fdOEEIIIYQQQsShsJV2CSGEEEIIIYpHCT8hhBBCCCEfMUr4CSGEEEII+YhRwk8IIYQQQshHjBJ+keTl5dX3LpA3pKam1vcukEYkJSVF1PZzcnJqLFtMgOLiYrx8+bK+d4MQQj4YCi3L+SFJTk5G+/btAQBRUVFISEiAmZkZLC0tubQ/adIkNG/eHIMGDYKlpSU+++wzLu1WFhERUet948eP5x5PTEVFRTh06BBcXFzw7NkzrFu3DmpqavDy8kKLFi24xPj222+hr68Pe3t7jBo1Cqqqivv4T506VVg1uq6Kiopw8OBBXL16Ffn5+dDV1UWvXr0wZcoUaGhocIlRn5+tjRs3YsmSJVzaqs/nsXDhQhw7dox7u3fv3kVoaChiYmLw5ZdfcmtXKpUiKCgICxYswOTJk/H06VMoKytj27Zt6Nq1K5cY2dnZaNasGQDg8uXLUFNTw4ABA7i0DQC5ublYvnw54uPjoaenhxcvXqB///5Yvnw5dHR0uMW5cOECRowYgfz8fAQGBkJNTQ2zZ8+GlpYWtxgAEB8fD11dXZiYmACo+O5v27YNixcv5tK+r68vli5dyqWtv7NlyxYcO3YMSkpKwraYmBiuMe7evYvIyEgUFRUJ21auXMk1Rn5+Pq5fv14lxv/8z/9wjSHma6WI4wdQ8V2/ceMG8vPzoaenh+7du6Nly5bc2ifvr9Em/MuXL0dwcDB++uknxMXFYciQITh27Bju3r2LefPm1bn98+fPIz09HdevX0dYWBhWrVqF9u3bY/DgwdwSjaVLl8LIyAjDhg2Duro6xKqw2rlzZ+jr69e4UjKvHyFfX19oaWmhvLwcq1atQrdu3dCxY0esXLkSO3bs4BLjxIkTiI+Px/Hjx7F9+3YMHz4cDg4OwsFUTFKplFtbPj4+6Ny5MxYsWABtbW3IZDJER0dj4cKF3F6rpKQk4XZkZCRGjx4NAFUOQGK5fv06t7YqPw8AYIwhPDwcGhoaoif8PL+PxcXFiIyMRGhoKNTU1CCVSnHx4kWuB+i1a9eic+fOAAAVFRWcPXsWV65cwc6dO7F9+/Y6t3/q1Cls27YNv/zyC3788Uf85z//gYGBAW7fvg13d/c6tw8A69atw8iRI7Ft2zZh29GjR7F69Wps3LiRS4xNmzYhJSUFw4YNw5o1a6CpqYlWrVph5cqV3GIAwJo1a5CQkACpVAo3Nze0a9cO8+fPx8CBA7nFePjwIbe2/k5UVBT+93//F2pqaqLF8PLywqxZs6CnpydajBkzZsDU1FSIoaSkxD3hF/O1UsTx4+jRozh8+DB69uwJbW1tPHr0CLt27YKdnR2cnJy4xCD/AGuknJ2dGWOMOTk5sZKSEsYYY+Xl5Wzy5MncY92/f58FBwezyZMns/Hjx3Nr9+XLlyw4OJjNmDGDfffdd+zq1avc2q5s7969bNq0aWzZsmXsxo0bosRwcHBgjDFWWFjIevfuzYqLixljjDk6OooSr6ioiEVGRjI3Nzc2Y8YMUWJUNmnSJG5tffXVVzVud3Jy4hajsilTpojSbm14vlaVpaSkMEdHR+bj48Py8/NFiVEZz+cxcOBA5ufnxx4/fswYY2zmzJnc2par/D5Xvm1ra8ulfQcHByaTyRhjFc/n2bNnrKysjNnZ2XFpn7Hafy/kv/c8yH+rSkpKWJ8+fdjr16/fGvufkh8r8vLy2MSJE5mVlRX7/fffucYYNWoUO3ToUI3/ePP29mZ5eXnc261s9uzZorbPGGPTp08XPYaYr5Uijh8ODg7CMVyuqKiITZw4kVsM8v4abQ9/dnY2EhIS0KJFC0ilUjRp0gSFhYVVLtPVxblz5xAVFYXbt2+jU6dOsLS0xJYtW7he0mrWrBmcnZ3h7OyM1NRUnDx5Ej/++CPMzMywcOFCbnGmT5+O6dOnIykpCadOncL27dvRo0cPjB07Fh06dOASQ1tbGwBw8+ZNdOvWTbiawOv9eFNOTg7S09ORlZXF7TkAFatJv4kxhuzsbG4x1NXVERERgcGDB0NXVxdSqRRRUVHchxPIidWr//jx42rbGGOivOehoaE4cOAAfHx8MGzYMK5te3p6VnuNGGNIS0vjFmPq1Kk4deoUMjIyYGtrK8rVvPLy/1s90s/PT7jN63Olrq4OLS0t/Pnnn2jWrJnwW6iszG8qWU1XIQG+n2H5b9Xdu3fRsWNHaGpqAgBKSkq4xQAgDEGSf8f37NkDY2NjrjFKSkqQlZXFtc3adOzYEYMGDYKBgQEYY1BSUsLFixe5xvjyyy/h4eEBU1NTYRuPK/aVDRo0CAcPHsSnn34qbOvduzfXGGK+Voo4fpSWlqKoqKjK97GwsFAhV4hJ7Rptwm9ra4t9+/bh0aNHCA0NxdSpUzFmzBh4enpyad/DwwNWVlbYvn17lR8fsSgrK0MikUAqlYo2WdDU1BQLFizA06dPsX79eowbNw737t3j0ra2tjYOHz6Ms2fPwsbGBuXl5Th58iQMDQ25tA8ABQUFOHfuHE6cOIG8vDzY2tpiz549XC//1nbwnDhxIrcYmzZtwo4dOxAcHAyZTAZtbW1YWFhgw4YN3GIowvLly2vc3qRJE24xnj17Bh8fH+jr6+Po0aPQ19fn1raco6Pje23/J2bNmoVZs2bh+vXrOHr0KO7fv4/vv/8e48aNQ6dOnbjEkEgkyMrKQosWLYTEMisri9tcFyUlJUilUpw7d06YK/Xy5UuUlpZyaR+oSCpqOpEsKCjgFkNVVRUxMTEIDw/HqFGjAAA3btzgPoykcnLUsmVL7sk+ALRp04Z7QlybX375BRcvXhR1uE1oaChGjRolaozY2FgUFxfjxo0bACreJ94Jv5ivlSKOH+7u7pg4cSLatWsnnFSkpKTAx8eHWwzy/pSYGF1FDZRUKuU2sSsrKwtRUVGIjo5Geno6LCwsYGlpiX79+nEbl5eVlYUzZ87gzJkz0NLSwujRozFq1Ciuk9PkcnNzhVhAxSQlKysrbslZdnY2tm7dilatWmHu3Lm4cuUKgoODsXr1am6TdgcOHIjhw4fDzs5OlEnUlWVkZCAjIwOtWrVCu3bt8OTJE6ipqaF58+Zc2i8pKUFiYiKkUin09PTQsWNHruM95b3WjDFcvXoV/fv3F+7z9/fnFkdsvXr1gpqaGvr161etd4nX85Af+GvCOxGQy8vLw88//4zjx4+/dWLy+/j999+xadMmuLu7w8TEBGlpadi1axeWLFnC5XlERUVh5cqV0NPTw969e5GRkYEFCxZg2bJl3K669O7dG507dxbe68qHt5CQEC4x7t+/j6CgIBgYGMDLywtXr17F999/j61bt3K9Wjhs2DDY2NiAMYbTp0/DxsZGuI9Xx9SiRYuwadMmLm39nfnz58PPz0+4QiIGV1dXBAUFidY+AEybNg379+8XNYaYr1XlPOfBgwdITEyEubk5947J0tJSJCUlCScVpqamCi2UQaqjhP8NR48ehZ2dHdc2y8rKEB0djaCgIMTHx+P27dtc2u3atSs++eQTWFtbw8DAoEpC4+DgwCUGUNG7+OzZM1hZWWHMmDFo3bq1cB+vJDM0NBR79uyBqqoqli1bhsGDB3NptzL5D4+YybhMJsPChQuRm5sLIyMjJCcno2nTptDS0oKXlxeXXrrLly/D398f7du3h7a2NqRSKf766y94enpixIgRdW4fePvE2T59+nCJ4eLiUut9wcHBXGIo4nl07twZJiYm6NatG4D/SzKVlJS4nhxJpVKcP38eGRkZMDIyEuXkPjExEYcOHUJ6ejoMDQ3h6OgIMzMzrjHk8vLyUFxcDAMDA25tOjs7IzMzE3369MHgwYMxaNAg7r2kiogBVBQZqM2ECRO4xMjMzKz1PiMjIy4x5Ozt7ZGeno62bdsCqPh+HDp0iGuMxYsXQ1NTE127dhWOhzyPhUDF5Pbu3bujS5cuQoxPPvmEawwxXysXFxcEBwcjPDwcYWFh6Nu3L+Li4jBhwgRur9WWLVvg4eGBx48fY/HixcjKyoKhoSH8/Py4v1bk3dHp1hvk4zHrKjs7G3FxcYiNjcWtW7egoqKCvn37YsGCBVzaBwA3NzfhB+fFixfc2n2TvNLJsWPHhFJhvMcVnjp1CufOnUN+fj6WLFkiSsKvpKSEOXPm1JqM8+Dv7w8rK6sqFWB8fX2RlpbG7ZL8rl27cPDgwSrJXn5+PqZNm8Yt4Tc3N0d4eDi0tLQwfvx4ruOs5bS0tJCamgpra2uMGDEC6urq3GO8mdRLpVKcOHECBw8exC+//MIlxvHjx3H69GnEx8ejX79+GDt2LPfhF8nJyZg7dy6GDx8OY2NjPHr0CLt370ZgYCDXA2jnzp25lzGUq2l+ixyvRCMkJATFxcW4deuWMPypvLwcffr0wdy5cxtMDKAiqU9KShJ6XlNTU1FYWMhtCBdQMfRU/nuelJSETz/9VPht552Mb9myhWt7NWnXrh0AcY+HiYmJSExMFP5WUlLi1kEhp4jX6ujRozhw4AC0tbVRUlICFxcXbt/DW7duAQDWr18PHx8f9OzZE4mJiVi9ejX27dvHJQZ5f5Twv0E+JrOuHB0dMWDAAAwYMABz584VpQfom2++QX5+PlRVVaucqGRkZHCNc+nSJa7t1URNTQ0SiQTNmjXjPvlNbtOmTaIn44mJidXGpssnB/NSUlJSrRyjuro61wlR3t7eMDExQV5eHpKTk7kNIahs165dwlAxf39/tGjRAjY2NlWGD/Hy559/4t///jfOnj2LUaNGYf369dzaNjMzg5mZmTD8KTAwEC9evMDw4cO5jePfsGED/P39hbKZADBmzBhs2LABu3bt4hJj0KBBtd7Ho/xuYGAgxowZw61TpTZqamowMzPDq1evIJPJEB8fjz/++KPBxTh37hw2b96MY8eOQVdXFy9evICPjw8WL17M7cS+8kmYs7Mzt2FPlWVnZ+Onn36Curo6pk2bhqZNmwIAAgICuM4fePjwIWxsbISkHwDu3LnDrX25H374ATKZDLq6ulznGwFvr5HPi0wmQ25uLlq0aCEMsVFVVRXluFtQUICePXsCqOhM4Dlfh7y/RpvwX7p0CWvWrIGqqio8PDyEOrqurq5cztZDQkLQqlWratvv3LmDzz//vM7tAxVn6Lt370Z5eTkcHBwwa9YsABV1dnn2OOTk5CAwMLDaj9C8efO4jUmvTKxRZopIxmva98DAQK4/2A4ODpgwYQJ69uwpTIiKi4uDs7Mztxg5OTnYtm0bGGOYPn06t3bf1KRJEzg5OcHJyQkZGRn4/vvv4e3tjejoaC7tnzt3DqGhoSgpKcHEiRPx+PFjrF69mkvbb1JSUkKPHj3w8uVLRERE4OjRo9wSfqlUWiXZByAknLzExMTg0KFDmDRpEiQSCWJjY/Hw4UNMnjyZS/sjR47EuXPnMGjQIDg6OlZ7Pjzs3bsXUVFRyM/PR//+/TF06FAsXLiw1uo9H2oMeZzDhw9DV1cXAGBhYYGwsDC4ublxS/grE6uCypIlSzBy5EiUlpZiypQp+Omnn9CmTRuu623s2LEDMTExKCsrQ5cuXbBy5UphSB2vY+Hdu3exevVqlJeXC0MpGWNYsWIFevTowSWGImrkW1hYwN3dHSkpKdi3bx+cnZ3h5OTEdV2S5ORkuLm5CZP0hw8fjgMHDohWSY68I0XWAP2Q2NnZsdzcXJadnc2cnZ1ZeHg4Y4xfzfHKdZ8XLVpU4/a6srW1ZUVFRayoqIh5enqynTt3Msb4103/+uuvWWRkJMvPz2fl5eUsPz+fnT59mk2dOpVbjP79+zNPT0/m4eEh3Jb/46WmOtllZWVc6w+7u7uzu3fvVtl2584d5u7uzi0GY4xlZWWxixcvspMnT7JLly6xrKwsru1X/pzy/MzWJCkpiW3bto2NHz+eeXh4sEuXLnFr+/PPP2f+/v4sOzubMcaYq6srt7bliouL2YULF9iCBQvYuHHj2LZt21hSUhLXGLXVzuZZw3779u3sm2++EerKp6Wlsblz57KAgABuMYqLi9mZM2fYrFmzmIODAzty5IgQj4eePXuyBQsWsN9++61aHfCGFIOx2n/HxVoXQ6zveeV24+Li2NixY9mrV6+4Pg97e3vh9vr169ngVOkgAAAUdUlEQVSKFSsYY3xfK0dHR5aZmVllW0ZGBrd1KhhT7Bor5eXlTCqVsvLycvbnn39ybz8lJYVFRkayGzdusIKCAvb999+zV69ecY9D3l2j7eGXSCRCib7AwEBMnToVhoaG3Ho5WKWe3qdPn9a4va5UVFSESbMbNmyAq6srjI2NuffUSKXSKisJ6ujoYPTo0QgNDeUWY+vWrcJtnuUMK2vWrBnu3bsnTK4EKipuyC8x8+Dt7Y05c+agf//+aNu2LdLS0nDlyhVuwy6Aisu+kZGR+P3334Vly5OSkrgujc4YQ0lJCRhjVW4D/CZq7969G7/++iuaN2+O0aNHIywsjPtwj19//RXh4eH46quv0KlTJ+Tk5HBtHwAGDBiAli1bYvTo0Zg4cSKUlJSQmZmJzMzMtw6TeR9dunRBaGgovvrqK2FbWFgY1wm1UVFROHLkiPD7YWxsjC1btsDR0ZHb2HSJRAIrKytYWVnh2bNnCAkJwdChQ3Ht2jUu7V+5cgWxsbGIjo7G5s2b0aJFC1haWmLIkCHcJqEqIgZQ0eNeWFhY5TtdUFDAdehF5SE9z549q/I3r/HcZWVlePDgAf71r3/BwsICs2fPhpubG16/fs2lfaDqcdXLywsLFy5EUFAQ12NhaWlptTLRPHMGQHFrrFy+fBmqqqro06cP1qxZg7y8PHh6enL9/JqYmAir2N+7dw8DBgwQtVwq+XuNtkrPkiVL0LRpU3z77bfQ0tLCkydPMHPmTOTl5XEZr1p5PGTl2/IZ8jxs3LgRaWlpWLduHXR1dZGXl4dp06YhPT2d6+XS+fPnC4uH6ejoQCaTISoqCo8ePcIPP/zALY7Y0tLSak3G5dUQ6mrBggXw8/PDxYsXkZmZCSMjIwwfPpzrD7anpyc6d+4MS0vLKpd979y5w+2y7/Dhw4XJfJXxnKgtr24jP+GqfODkPWEQqEjUjhw5gjt37uDLL7/kNlHb29u71oN+5QWs6uL169dYtmwZHj58CBMTE2RkZMDExAQbNmzgdpI0depUHDhwoNp2nr9ZQMUJ6/nz5xEREQGZTIZJkybB1taWW/uVRUdH48cff8TNmze5j7EXO8aFCxdw4MABTJ06FW3btsXTp08RFBQEBwcHjBkzhkuMgICAWu/jNb7+jz/+wLp167BlyxahItPPP/+MdevWcTvR279/P06fPo2goCA0adIExcXFcHNzQ2xsLLdx/AEBAYiNjcXAgQOFZDwmJkYY3spDTk4OduzYgZs3b1apke/m5sZt+Ox3332HoqIiyGQyZGdnY+zYsWjVqhUOHjyIPXv2cIlx4cIFrFu3DsrKynB2dsaFCxegq6uLTz75BIsXL+YSg/wD9XVpob6VlJSw48ePV7mc/OLFC+br68ul/dqGRPC8bDp//nx29epVVlRUJGwrKChg+/bt4xaDMcYKCwvZvn372Lx589i0adPYvHnz2N69e1lBQQHXOGL79ttv2evXr9mpU6fYjz/+yE6dOsVkMhnXGGIPf2FMsZd9xZSenl7rPzFlZ2dz/47U5MaNG9zbzM7OZnfu3GFPnz7l3vbXX3/NUlNTq2xLTU1lLi4uXNq/evUq8/b2ZsOGDWO+vr7swYMHXNqt7O7du2zfvn1s7ty5zNramnl4eLAjR46wjIyMBhVDLi4ujnl7e7MZM2awZcuWsVu3bnGPwVjF+yzW56o2ZWVljLGKoWQ8pKamstLS0irbzp8/zxhj7Pbt21xixMfHs+DgYLZz504WEhLC4uPjubQrl5+fL9xOTExkERER3IfbTJ48mTFWMaTH2tpa2M5z+JOtrS179eoVe/LkCRswYICQozg4OHCLQd5fox3Sc+vWLbRt2xb379+vsp1XlZ6bN28Kl/Nzc3OF2zwn2eXk5KBv375VtmloaGDatGncYgAQqivwblfRsrOzoampya13rCZpaWnYvHlzjffxqnRT02Xf6OhorlcRXr16hR07dsDb2xtJSUnw9vaGmpoa1q1bx60MZJs2bWrcvnjxYnz//fdcYkilUqxYsQKrVq2Cjo4OTp06JUzYF9v69etx7NgxLm0poid20aJFcHd3F66AZWZmIiYmhtsKnAEBAbC3t8eqVau4LhJXmb+/PwYOHAg3N7cqtdgbWgw5CwsLGBgYICcnB61bt66xEERdpKenY8GCBZBIJGjevDkyMzOhqamJLVu2oGXLllxjvUle6pfX1eiartLKJzfzmLx75swZWFtbo127dggICMDVq1fx9OlTtGvXjtsCWe7u7tVq5B88eJBrjfzS0lL85z//QU5ODl6+fImkpCTo6OhwraBTVlYmvCZKSkrCd6S8vJxbDPL+Gm3C7+zsXOtiOTxWlXzzREIMikguAaC4uLjW+8Q6cItBEa+XhoaG6AuLKGJp9OXLlwvl1NasWYMpU6agU6dO8PX15XbZtzaPHz/m1taKFSvQrVs34eBjbW2N58+fY+XKlaKvMMo4jpasvDjV/v37RTn57tixI8LCwnDx4kU8f/4cZmZmmDt3LrfFvcQo+fgmsVdAVVQMQDHJ+Pr16+Ht7Y1evXoJ23777TesXr36rSeZPPH8nogZ4+DBg7C2toafnx/atm2LZcuW4cqVK1i+fDn31cfFrJG/atUqBAQEoGvXrli+fDmcnZ3RpEkT+Pr6cmkfqCgZPGLECLRp0wZ9+/aFq6srNDQ0RFlfh7y7RpvwK2KxnMuXL+OXX34RemdGjx6Nfv36cWtfEcklANjY2ODly5fQ19cXFmVhnBfeUgRFvF4GBgbcVsGsTdOmTbF06VJRY2RlZcHFxQVSqRQPHjzA+PHjoaSkhIKCAlHj8paZmVnlYKyqqoqZM2fC3t5e9Ng8e34rT2SPjIwUbWK7rq4u1/J85J9TRDKenZ1dpX0AGDhwIHbv3s2l/Xch5hUSMWIkJycLybGpqSl+/fVXbm0rokZ+586dq3x+Ro8eXeV+HusjzJgxA3Z2dsL8oujoaOjp6QmfNZ7lycm7a7QJv9iL5YSGhiI6OhouLi5C78yuXbuQkpLC7UxdEcklUNGzMXPmTOzfv1+obNQQKeL1Mjc3F7V9RZH/UN+4cQO9evUSDpg8E/6aJsczxiCVSrnFkB8038TzypSDg0O1hIIxhr/++otbjMoUkSCR+qeIZLy27wcNvaguOTkZ+/fvh6qqKhISEtC1a1fcu3ePazKuiBr5f4fXECv5+hFARRGIyniuj0DeXaNN+OXEWizn1KlTCA0NhYqKCoCKs+pBgwZhxowZ3BJ+RSWXzZo1w8KFC5GQkCDKKqiKoojXi1fll7exsbGptbwkjwpTANCyZUts3rwZMTExcHd3h1QqxYEDB/Cvf/2LS/tARU81UFG1RV1dHQUFBdDU1ESHDh2E23VlYmKCCxcuVFmo6OLFi2jRokWd25ar7feCEnNSF4pIxnNzc6v9ZjDGuM41k3N3d4eDgwMsLS2rfDcaypCeH3/8Effv30f79u3x4MEDtG3bFmvWrMGqVas47GGF7777DkDF/r5+/VoYwmVqagpAMT3jDeX9IO+v0Sb8JSUliI6OxunTp/H48WN88cUX+H//7/+hQ4cOXNqXSCRCsi+npqZWbVtdKCK5BComPvKqJ16fFPV6iS0gIACenp4IDQ3lVnf/TStXrsTx48cxZ84cjBgxArdv30ZOTg6WLVvGLcbq1avh5+eH69evw8DAAJmZmRg2bBj09fWRlpaGTp061TmGl5cXPD09sWPHDhgbG+PJkydo1qwZ1/kOf/31lzDMLTIyEmPGjBGGvPFS+SrCo0eP4OjoKMQQo4QpqX+KSMbNzMyEE+/Kunbtyi2GnLu7O8LDw7F582aMGDECtra2MDQ0xMaNG+vctryMsJyqqipKS0uhrq6OX375BTY2NnWO0aVLF3Tp0gV2dnbCtiNHjgi3eQyFkVNSUhLmHcmTfUAxPeMNbYgVeXeNNuEXe7Gc2j7QDfHMduzYsejfvz8cHBzw2Wef1ffuNHrt2rWDi4sLrl27hiFDhogSQ11dHZMnTxb+7t69O7p37841xo4dO2BgYCDMA2GM4bvvvsPLly+5JPsAoKenh6CgIGRmZuL58+cwNDTkXulk4cKFwu3bt29znTAvt2HDBly6dAn6+vrCPKCsrCzs27ePeyzyYVBEMl7bOhGxsbHcYsiZm5vD3Nwcr169wsqVKzFy5Ejcv3+/2mJW/8TZs2fBGMOqVavg6OiIzz77DAkJCQgLCwMAhczZ4bn2TW0aYv5APhyNNuEfMWIE8vPz8eDBA6SlpVW5j0fCHx8fX+1SP2MMSUlJdW5b0X799VdcunQJO3bswIsXLzBp0iSMHTuWW/UO8n4iIiIAVJRlld+W4zXW823fAV7Dhq5du4aDBw8KfyspKeHZs2dcV8PNz8/HsWPHoKenhwkTJkBZWRkPHjzAihUrROkZF6vnauvWrVBRUUFWVhYKCgpgbGyM7777Di4uLqLEI/VPkcn4m3iWlJWLjY1FeHg47t27BysrK65XXOVzctLS0oROqa5du3Kt+PV3FJGM8/x9aehDrMj7a7QJv5mZGfbu3QsVFRUsW7YMlpaWXNs/efIk1/bqk6qqKkaNGoVRo0YhKysLJ06cgKurKz799FOupbzIu6l80hgZGSlUWeB5MIiJiUFiYiLOnj0rVJmytrZG+/btucWQ1+GubMuWLZgzZw63GN9++y3Mzc2RkJCAJ0+ewMDAAAEBAQ1ueFdqairCw8NRXFyMSZMmQSKRIDg4uMrlftI4iJGMv0mMhOzAgQOws7PD2rVrRTsx1tXVxdatW/HZZ5/h1q1bXOfq/J2GNkyloQ+xIu+v0Sb8p0+fxrlz55Cfn48lS5ZwT/hv3LhR6321LTjUEOjr66NNmzZo2rQp0tPT63t3GqU3h5BU/puXs2fPYvfu3XB0dES3bt2QmZmJ+fPnY/78+VUmwNaFhoYGUlNTYWJiImzLzc3lMllXTiaTwdPTE4wxWFlZoU2bNvj555+5LVMPVKzhIB/D/+eff1Z5P3jV55ZfTVNTU0N5eTn27t2LJk2acGmbNCwNrSdZbvv27dzbfNOmTZtw6NAhXL58Gaampvjmm29Ej6lIPN/7j32IFamu0Sb8ampqkEgkaNasGdeyWnJLly6FkZERhg0bBnV19QZ/CevGjRs4ceIEYmNj8cUXX2DRokXUu/gBEKtX6cCBAwgJCamyeu+ECRPg5ubGLeH38PDAnDlzYG9vD2NjY6SlpeHYsWPcVtkF/u9Sv5KSEtTV1bFz506oq6tzax+oWqVHrPr4lTVv3pyS/UZMrMngcmKWlBWblpYWZsyYIWoMMYfCKLJn/GMfYkWqa7QJf2ViJOPR0dGIjIzE5cuXYWhoCBsbG/Tt25d7HEX44osv0K5dO4wdOxZff/01WrduDQ0NDeTl5UEikXDtkSUfBlVV1SrJPlDRy8yzypS5uTn27duHiIgIREdHo02bNtizZw9at27NLUblg2eTJk24J/sA0KdPH+5tvkl+5UDMqwjkw6KIZNzf3x8xMTHo168fJBIJnjx5gocPH3K/4v0xEXMojCJ7xj/2IVakOiXW0Lue/6EBAwagf//+wsJblevL8z6Apqam4uTJk7h58ybMzMxEGYIhpuTkZAQHByMqKgotWrRAZmYmhg4dipKSEkyfPp1bRRXybioPIRHrs+vi4lJj+bfatn+oevbsiY4dOwqJsvx2Qytn+bYKIIo44SCKl56eXmsyzmtV+ICAADx8+BAbNmyApqYm0tPTsX79enTp0gVz587lEuNjJR8Kc/78edy/f59r287OzggJCRH+/uqrrxAaGso1hiK8fv0ahw4dQnJyMkxNTeHk5MR10UPyfhptD//WrVuF22JfhldWVoZEIoFUKkVKSoqoscQQERFRpXxieXk5li5dyrV8Inl3ihhC8mYvMtAwq0zNmDFDqFz07Nkz7iU5FYWS+sYnIiICDx8+xLhx46CpqQnGGPbv34+cnBxuyXhUVBSOHDki9PAaGxtjy5YtcHR0pIS/FmIOhZH7WHrGFTHEiry7RtvDL7asrCycOXMGZ86cgZaWFkaPHo1Ro0Y1yFKWTk5OVconAsDMmTORk5OD8PDwetorIqaPpUe58hWJhnZ1gjRudnZ2VZJxoGLBSEdHRxw/fpxLjI/lSp4iffPNN7Czs8PgwYNFGwpDPeNEDI22h19sQ4YMwSeffAJra2sYGBigpKREWETFwcGhnvfu/SiifCL5sDSkpP5tKvdnUN8GaUg0NTWrJZQSiURYgZVXjLS0NLRt21bYlpaW1uBKTCqSIqoNUc84EQMl/CJxc3MTfjRfvHhRz3tTN4oon0iIGConLpTEkIZEEcn4okWL4O7ujv79+6Nt27bIzMxETEwMNmzYwC0GIeTDQEN6RJSfnw9VVdUqiXFGRkaDq8N///59LFmypMbyiTyXeSeEt49l0i5pfB49egRPT88ak3Gev7v5+fm4ePEinj9/DiMjIwwdOrRBDj0lhLwdJfwiOXr0KHbv3o3y8nI4ODhg1qxZABru2Mhnz54hIiJCOGEZN24c1/KJhIghIyOj1vsa2ok3aXwoGSeE8EIJv0js7OyEMlo+Pj7o2LEj5syZU63cFiGEEEIIIWKiMfwiUVFREWbVb9iwAa6urjA2NqZxxIQQQgghRKGql18hXFhYWOCbb74RxvFv27YNe/fuRWJiYn3vGiGEEEIIaUSoh18kGRkZmDJlCtTV1QEAenp6CAsLo4mChBBCCCFEoSjhF0lOTg769u1bZZuGhgamTZtWPztECCGEEEIaJUr4RZKWlobNmzfXeJ+np6eC94YQQgghhDRWlPCLRENDA5988kl97wYhhBBCCGnkKOEXiYGBASZMmFDfu0EIIYQQQho5qtIjEnNz8/reBUIIIYQQQmjhLUIIIYQQQj5m1MNPCCGEEELIR4wSfkIIIYQQQj5ilPATQgghhBDyEaOEnxBCCCGEkI8YJfyEEEIIIYR8xP4/55jZH+sQIPUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1008x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# let see how the heatmap again\n",
    "sns.heatmap(df.corr(), cmap='seismic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c042fb278>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# and correlation only with PM2.5\n",
    "fig, ax = plt.subplots(figsize=(6,10))\n",
    "df.corr()['PM2.5'].sort_values().to_frame().drop('PM2.5').plot.barh(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "colsd = ['QV10M', 'CLDHT', 'QLML']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f1c02143940>]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Height to the lowest cloud is very weak, let see data before we drop it\n",
    "plt.plot(df.index, df.CLDHT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=colsd, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c020657f0>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,10))\n",
    "df.corr()['PM2.5'].sort_values().to_frame().drop('PM2.5').plot.barh(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('data/comb_PM25_wind_Hanoi_2018_v2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "more_cols = ['d_850', 'd_50m', 'd_2m', 'VIS', 'WD']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=more_cols, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c041c1710>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,10))\n",
    "df.corr()['PM2.5'].sort_values().to_frame().drop('PM2.5').plot.barh(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['T2MDEW'] = df['T2MDEW'] - 273.15\n",
    "df['T2M'] = df['T2M'] - 273.15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('data/comb_PM25_wind_Hanoi_2018_v3.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PM2.5</th>\n",
       "      <th>T2MDEW</th>\n",
       "      <th>T2M</th>\n",
       "      <th>PS</th>\n",
       "      <th>TQV</th>\n",
       "      <th>TQL</th>\n",
       "      <th>H1000</th>\n",
       "      <th>DISPH</th>\n",
       "      <th>FRCAN</th>\n",
       "      <th>HLML</th>\n",
       "      <th>RHOA</th>\n",
       "      <th>CIG</th>\n",
       "      <th>WS</th>\n",
       "      <th>CLDCR</th>\n",
       "      <th>v_2m</th>\n",
       "      <th>v_50m</th>\n",
       "      <th>v_850</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8092.000000</td>\n",
       "      <td>8092.000000</td>\n",
       "      <td>8092.000000</td>\n",
       "      <td>5088.000000</td>\n",
       "      <td>7809.000000</td>\n",
       "      <td>5502.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "      <td>8116.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>40.758736</td>\n",
       "      <td>20.143231</td>\n",
       "      <td>23.209950</td>\n",
       "      <td>100091.307728</td>\n",
       "      <td>46.593698</td>\n",
       "      <td>0.078603</td>\n",
       "      <td>94.100740</td>\n",
       "      <td>0.283273</td>\n",
       "      <td>0.521452</td>\n",
       "      <td>66.146428</td>\n",
       "      <td>1.166763</td>\n",
       "      <td>4882.208137</td>\n",
       "      <td>2.852235</td>\n",
       "      <td>0.376863</td>\n",
       "      <td>1.725790</td>\n",
       "      <td>3.989913</td>\n",
       "      <td>5.674146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>31.501209</td>\n",
       "      <td>5.840456</td>\n",
       "      <td>6.123929</td>\n",
       "      <td>728.034422</td>\n",
       "      <td>15.289697</td>\n",
       "      <td>0.082412</td>\n",
       "      <td>63.071034</td>\n",
       "      <td>0.065183</td>\n",
       "      <td>0.374627</td>\n",
       "      <td>1.463402</td>\n",
       "      <td>0.033969</td>\n",
       "      <td>8266.805156</td>\n",
       "      <td>1.375927</td>\n",
       "      <td>0.190057</td>\n",
       "      <td>1.000010</td>\n",
       "      <td>1.756854</td>\n",
       "      <td>3.112177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.480020</td>\n",
       "      <td>2.569970</td>\n",
       "      <td>98338.780000</td>\n",
       "      <td>12.691939</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-62.420760</td>\n",
       "      <td>0.165833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>61.526400</td>\n",
       "      <td>1.101529</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.005149</td>\n",
       "      <td>0.022971</td>\n",
       "      <td>0.059713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>17.237140</td>\n",
       "      <td>19.339165</td>\n",
       "      <td>99467.157500</td>\n",
       "      <td>34.854736</td>\n",
       "      <td>0.011534</td>\n",
       "      <td>39.747400</td>\n",
       "      <td>0.221359</td>\n",
       "      <td>0.148132</td>\n",
       "      <td>65.226177</td>\n",
       "      <td>1.139971</td>\n",
       "      <td>610.000000</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.948639</td>\n",
       "      <td>2.751847</td>\n",
       "      <td>3.458131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>32.000000</td>\n",
       "      <td>21.767055</td>\n",
       "      <td>24.514350</td>\n",
       "      <td>100156.612500</td>\n",
       "      <td>46.939671</td>\n",
       "      <td>0.053711</td>\n",
       "      <td>101.305442</td>\n",
       "      <td>0.308167</td>\n",
       "      <td>0.511841</td>\n",
       "      <td>66.474025</td>\n",
       "      <td>1.161659</td>\n",
       "      <td>945.000000</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>1.486214</td>\n",
       "      <td>3.924952</td>\n",
       "      <td>5.236085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>52.000000</td>\n",
       "      <td>24.810155</td>\n",
       "      <td>27.431088</td>\n",
       "      <td>100572.849000</td>\n",
       "      <td>60.093417</td>\n",
       "      <td>0.118324</td>\n",
       "      <td>137.084377</td>\n",
       "      <td>0.340698</td>\n",
       "      <td>0.931946</td>\n",
       "      <td>67.216239</td>\n",
       "      <td>1.187278</td>\n",
       "      <td>1494.000000</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>2.322390</td>\n",
       "      <td>5.082285</td>\n",
       "      <td>7.178591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>323.000000</td>\n",
       "      <td>27.994470</td>\n",
       "      <td>36.173800</td>\n",
       "      <td>102189.990000</td>\n",
       "      <td>79.528755</td>\n",
       "      <td>0.451294</td>\n",
       "      <td>266.238680</td>\n",
       "      <td>0.353638</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>68.976160</td>\n",
       "      <td>1.276222</td>\n",
       "      <td>22000.000000</td>\n",
       "      <td>11.800000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>6.670765</td>\n",
       "      <td>12.574891</td>\n",
       "      <td>26.583689</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             PM2.5       T2MDEW          T2M             PS          TQV  \\\n",
       "count  8116.000000  8116.000000  8116.000000    8116.000000  8116.000000   \n",
       "mean     40.758736    20.143231    23.209950  100091.307728    46.593698   \n",
       "std      31.501209     5.840456     6.123929     728.034422    15.289697   \n",
       "min       0.000000    -1.480020     2.569970   98338.780000    12.691939   \n",
       "25%      19.000000    17.237140    19.339165   99467.157500    34.854736   \n",
       "50%      32.000000    21.767055    24.514350  100156.612500    46.939671   \n",
       "75%      52.000000    24.810155    27.431088  100572.849000    60.093417   \n",
       "max     323.000000    27.994470    36.173800  102189.990000    79.528755   \n",
       "\n",
       "               TQL        H1000        DISPH        FRCAN         HLML  \\\n",
       "count  8116.000000  8116.000000  8116.000000  8092.000000  8092.000000   \n",
       "mean      0.078603    94.100740     0.283273     0.521452    66.146428   \n",
       "std       0.082412    63.071034     0.065183     0.374627     1.463402   \n",
       "min       0.000000   -62.420760     0.165833     0.000000    61.526400   \n",
       "25%       0.011534    39.747400     0.221359     0.148132    65.226177   \n",
       "50%       0.053711   101.305442     0.308167     0.511841    66.474025   \n",
       "75%       0.118324   137.084377     0.340698     0.931946    67.216239   \n",
       "max       0.451294   266.238680     0.353638     1.000000    68.976160   \n",
       "\n",
       "              RHOA           CIG           WS        CLDCR         v_2m  \\\n",
       "count  8092.000000   5088.000000  7809.000000  5502.000000  8116.000000   \n",
       "mean      1.166763   4882.208137     2.852235     0.376863     1.725790   \n",
       "std       0.033969   8266.805156     1.375927     0.190057     1.000010   \n",
       "min       1.101529     91.000000     0.000000     0.200000     0.005149   \n",
       "25%       1.139971    610.000000     2.100000     0.200000     0.948639   \n",
       "50%       1.161659    945.000000     2.600000     0.400000     1.486214   \n",
       "75%       1.187278   1494.000000     3.600000     0.400000     2.322390   \n",
       "max       1.276222  22000.000000    11.800000     0.800000     6.670765   \n",
       "\n",
       "             v_50m        v_850  \n",
       "count  8116.000000  8116.000000  \n",
       "mean      3.989913     5.674146  \n",
       "std       1.756854     3.112177  \n",
       "min       0.022971     0.059713  \n",
       "25%       2.751847     3.458131  \n",
       "50%       3.924952     5.236085  \n",
       "75%       5.082285     7.178591  \n",
       "max      12.574891    26.583689  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c03df4dd8>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ISJo0aWItXgDdunXj2rVrxMbGEhgYyJYtW6zrPvnkE3r37l0YTRURkUJWpArYxYsXqVatWo7lVapU4cKFCzz55JP8/vvv/PLLL6SlpbF//35at25dCC0VEXmAODvn76ewml1o73wH3t7eHDt2LMfyc+fOUbFiRQB69uzJ1q1bqVq1Ki1bttTdmEVE8sukhxCLVKtbtmxJaGgo3377LU888QRDhgyxDu54+OGHAejcuTMvvvgiXl5e1vNoIiKSDypg+efu7s6SJUusoxBTU1PJysqiePHiXLhwgSpVqlCqVClq1qzJlStXNHhDRMQIKmB5c2tE4S3Vq1cnNDQ027LY2Nhshwrfeeed+9I2EREpugq9gOXGnQZ2iIiIQdQDExERU1IBExERUzJpAStS14GJiIjkljnLbi70729MTq8ac4wJql3bmBxg/rnu994oF8ZMGm9IzrQbNwzJAZgzZ5ghORVLG3d9oNcrrxiS8+j27YbkbEhsb0gOwLJlxuS0TNxjTBDQs2dnQ3JqrppsSA516xqTA1C6tHFZRjK4B5aVlcXUqVP57rvvcHV1ZebMmTz00EM5tnn55Zd57rnn6Nu3b57e54EtYCIikksGF7Ddu3eTlpbGhg0bOHbsGCEhISxevDjbNgsXLiQ+Pj5f76MCJiJi7wwuYNHR0fj7+wPw1FNPcfLkyWzrd+7ciYODg3WbvNI5MBERe2fwXIiJiYl4eHhYnzs5OZGRkQHAmTNn2LZtGyNHjsx/s/OdICIichsPDw+SkpKsz7OysnD+X6HbsmUL//3vfxk4cCAXLlzAxcWFKlWqEBAQYPP7qICJiNg7gw8h+vj48NVXX9G+fXuOHTtGnTp1rOvGj///wWOLFi3Cy8srT8ULVMBERMTgAta6dWv27dtHnz59sFgsvP3226xcuZLq1avz3HPPGfY+KmAiIvbO4ALm6OjI9OnTsy2rVatWju2GDx+er/cp9AIWEhJCTEwMly9fJiUlxXr7lHHjxllnpQeoW7cu48aNw8PDw9rtzOu1AyIichuTzsRR6K2+dU+viIgIfvzxR8aNG0dycjI9e/Zk9uzZPPnkkwBs3ryZsWPHsmTJksJsroiIFBFFchh9ZGQkTZo0sRYvgG7dunHt2jViY2MLsWUiIg8gg4fR37dmF9o7/4mLFy/e8RYqVapU4cKFC4XQIhGRB5gOIRrH29ubY8eO5Vh+7tw5KlasWAgtEhF5gKmAGadly5aEhoby7bff8sQTTzBkyBDr4I6HH364sJsnIiJFQJEsYO7u7ixZssQ6CjE1NZWsrCyKFy9uPYT44YcfEh4ebt0+LCysMJssImJe6oHlT/fu2W8RUr16dUJDQ7Mti42NxdXVleHDh+f7+gEREfkfFbCCd6eBHSIikk8qYCIiYkomLWBF8jowERGRezFn2c2F0HPG3HbdYbGvITlw0aAcmIqDITkOLDIkB2DOnGGG5NwINmbffBpaDMkBOFfmZUNyrnWYakhOKB0MyQFYe9stL/Lj5yudDckBaLpq+r03yo2uXY3JqV3bmBxg656ShmUZ9xvHtD0wc7ZaihSjipeIFBIVMBERMSUVMBERMSWTFjAN4hAREVMyZ9kVERHjmLQHZs5Wi4iIcUxawArsEOKhQ4cYPXp0tmXz5s0jIiICgPPnz9OpUyfruqtXrzJ48GD69evHqFGjuHHjBgAbN26ke/fuBAYG8tVXX/3ptiIikgcmvR9YoZwD27JlC6NHj+bq1avWZaGhoXTs2JG1a9fy+OOPs2HDBi5fvkxYWBjr169n+fLlvPvuu6Slpd1xWxERsS+FUsBKlSrFxx9/nG1ZdHQ0/v7+AAQEBLB//36OHz9Ow4YNcXV1xdPTk+rVq3P69Ok7bisiInlk0h5Ygb7zwYMHCQoKsj6PjY1lxIgRtGjRIse2iYmJeHp6Ajdvj5KQkJBt2a3liYmJd9xWRETyyKTnwAq01Y0bN2bBggXW5/Pmzbvrth4eHiQlJVGsWDGSkpIoWbKkddktSUlJeHp63nFbERHJI5MWsCJzHZiPjw979+4FICoqiqeffpoGDRoQHR1NamoqCQkJ/PDDD9SpU+eO24qISB7pEGL+DBkyhODgYDZu3EiZMmWYP38+JUqUICgoiH79+mGxWBg9ejRubm533FZEROxLgRUwPz8//Pz8si0bN25ctuf79u2zPvby8mL58uU5cgIDAwkMDMy27G7biohIHpj0EKI5Wy0iIsZRARMREVNSARMREVMyaQErMqMQRUREbGHOsisiIsYxaQ/MnK3OhZer7jAkJwUHQ3Lcypc3JAegQSWLITm/njBm3yqWdjUkB8CnoTH71uUbY/YNYMr/pi3LL8u//mVIjpODMb8jgCHL3jMk52ClEYbkACzLmGxITsp6Q2KoWtWYHICuXY3LMpQKmIiImJJJC5jOgYmIiCmZs+yKiIhxTNoDM2erRUTEOCpgIiJiSipgIiJiSipg/+/QoUOMGjWK2rVrY7FYyMjIYMCAAbRv355mzZqxb98+UlJSmDp1KpcuXeLGjRuUL1+eadOmUaZMGVq2bEnlypVxdHTEYrFQunRpQkJCiImJYf369TnuMVazZk26d+9eELsiIiJFVIGV3dtvZpmUlERQUBAPP/ywdf0nn3yCl5cXISEhAKxatYp//OMfTJo0CYAVK1bg5uYGwNy5c4mIiODRRx8tqOaKiNgv9cDuzt3dnd69e7Nz507rMi8vLzZt2oSPjw++vr4EBQVhseS8QNNisZCQkJCt+ImIiIFUwP5cuXLliImJsT5v27YtDg4ObNq0iYkTJ1KnTh0mTZpk7WUNHjwYR0dHHBwcaNCgAV27diU6OpqDBw8SFBRkzYmNjWXECONmARARsTsqYH/u4sWLVKpUyfr8m2++oUmTJrRp04bMzEw+/fRTJk6cSEREBJD9EOLtbj80CTfPgYmIiP25LzNxJCYmEh4eTrt27azLtm/fzkcffQSAk5MTjz76KK6uxs2pJyIiueTsnL+fwmp2QQXfOtTn6OhIZmYmw4cPp2bNmtb1o0aNYsaMGXTp0oXixYtTokQJZs2aVVDNERGRu9EhxP/n5+fHgQMH7rhu3759AHh4eDBnzpw7bvPll1/eNdfPzy/bsnHjxuWjpSIiogImIiLmZNICptnoRUTElMxZdkVExDgm7YGZs9UiImIcFbCiJS7OmBw3B4NuTX/bNXD5ZdS+XTcmBq9XXjEoCc6VedmQnCn+/obkAEz7178MyZli0GwyXomGxACwwsOYSQAGN/rRkByA69dr3nujXHjpJUNicMxIMyYIICPDuCxKGBelAiYiIqZk0gKmQRwiImJK5iy7IiJiHJP2wMzZahERMY4KmIiImJJJC5jOgYmIiCkZUnbj4uLo3Lkz9erVsy7z8/NjxYoV1mWpqamUKFGCv//975QqVYrff/+dOXPm8PPPP5ORkUHlypWZPn06np6eAPz3v/+lTZs2hISE8PzzzwNw6NAhXnvtNbZt20blypWBm7dTqVmzJt27dzdiV0RE7I/BPbCsrCymTp3Kd999h6urKzNnzuShhx6yrt+4cSPr16/H2dmZIUOG0KJFizy9j2Gtrl27NmFhYdbncXFxREVFZVs2f/58Nm3axIsvvsiYMWPo06cPrVu3BmDVqlVMnjzZeq+viIgIgoKCWLt2rbWAAbi6ujJx4kRWrlyJg1HXaImI2DODC9ju3btJS0tjw4YNHDt2jJCQEBYvXgzA5cuXCQsL45NPPiE1NZV+/frRrFmzPN1O674dQrRYLPzyyy+ULFmSCxcucOXKFWvxAggKCmL69OnWbT/99FMGDx5Meno6Z86csW7XuHFjSpUqxZo1a+5X00VEHmwG3w8sOjoa//9NJvDUU09x8uRJ67rjx4/TsGFDXF1d8fT0pHr16pw+fTpvzc7b3ub0/fffExQUZH0+atQo67Lr16+TmppKp06d6NatGydOnKBq1arZXu/k5GQ9fHjgwAHq1KlD2bJl6dGjB2vWrGHatGnWbadOnUqvXr2svyAREcm7rHz2Zf746sTERDw8PKzPnZycyMjIwNnZmcTEROt3PYC7uzuJiXmbXqZADyHeWpaSksKrr75KuXLlcHZ2xtvbm19//TXb69PT0/n888/p3LkzGzduJC4ujhdffJH09HS+++67bPf9KlOmDG+88QbBwcH4+PgYtQsiImIADw8PkpKSrM+zsrJw/l9P7Y/rkpKSshU0W9yXQ4jFihVj3rx5hIaGcvr0aSpWrEiZMmXYvXu3dZvVq1cTGRnJ1atX+fbbbwkPD2f58uWsXr2a1q1bs3nz5myZLVu25OGHH86xXEREbJORkb+fP/Lx8SEqKgqAY8eOUadOHeu6Bg0aEB0dTWpqKgkJCfzwww/Z1tvivp0D8/LyYvz48UyePJmsrCzeeecdtm3bRr9+/ejVqxenTp1i5syZfPrpp7Rp0wYnJyfrawMDA1m7di0WiyVb5ptvvkmxYsXu1y6IiDyQjC5grVu3xtXVlT59+jB79mzrwLvIyEjKly9PUFAQ/fr1Y+DAgYwePRo3N7c8tdvB8seq8IBo396YnB07Darx9esbkwOUjTtuSM6Ba8aM4qxtSMpN5csY83G8Wj/AkBwoerPRV0g0bub3kBBjcgb/xbg2fbhbs9HnSgnjZqOPj8/f60uWNKYdtjLn5dciImIYQ+/ych9pJg4RETEl9cBEROycWXtgKmAiInZOBewB9XeDxrgknzhhSA7ANd4wJOfXe2+SK49u325QElzrMNWQHItBAy/AuMEX0376yZCcy3Q2JAdg8KAtxgQlehmTA5w7Z0zO998bk/Prr7ZPcXQ3Ac2L5leuWQuYzoGJiIgpFc0/B0RE5L4xaw9MBUxExM6pgImIiCmpgImIiCmZtYBpEIeIiJjSfSlghw4dYvTo0dmWzZs3j4iICAIDA3NsP2HCBBo1akRa2v/PQRYTE8Ojjz7KoUOH7pgnIiJ5Y/RkvvdLke2BlS9f3jodP8Bnn31GtWrVCrFFIiIPJhUwg3Xo0IFt27YBN2+GFhMTwxNPPFHIrRIRefCYtYDdt0EcBw8eJCgoyPo8NjaWESNG3HX7Bg0a8MUXX5CcnMyxY8fw8/Pjhx9+uB9NFRGxK2YdxHHfCljjxo1ZsGCB9fm8efPu+ZrnnnuOyMhI9u/fz2uvvca7775bkE0UERETKdLD6Dt27Mjbb7+Ng4ODzn+JiBQQ9cDy6OzZs3Tv3t36fMKECdbHtWrV4tq1a/To0SPH6/bt25ftdfPnz+dhgyZdFRGxJypgf8LPzw8/P79sy8aNGweQrQjd4uvra30cERFhfXz7IcjDhw8b3UwREbtk1gJWZEchioiI/JlCP4QoIiKFy6w9MBUwERE7pwImIiKmpAJWxOygvSE5DvQzJAeyDMqBRcw2JOcvfGBIzoZEY37XAKF0MCTHycFiSA6AV6IxOZfpbEjOVD4zJAcgy6DT4FdSShqSA/C282SDkvobklLHw6APAHDpio9hWRUqGBZl2gKmQRwiImJKD2wPTEREcsesPTAVMBERO6cCJiIipqQCJiIipmTWAqZBHCIiYkoF2gM7dOgQo0aNonbt2gAkJSVRtWpVRo8eTXBwMBs3brRuu27dOq5cucLw4cNJSkpiwYIF/Oc//8HBwQEPDw+Cg4OzTda7dOlSPvroIyIjI3FzcyvI3RAReaCZtQdW4IcQ/3gfsLFjx/Lll1/+6WveeustGjZsyKRJkwA4ffo0Q4cOZcOGDXh6egKwdetW2rdvz/bt2+84IbCIiOSOWQvYfT2EmJaWxqVLlyhZ8u4XPV69epUzZ85ku3tz3bp1adGiBV988QVws2dXvXp1+vTpw5o1awq83SIiD7KMjPz9FJYC74EdPHiQoKAgfvvtNxwdHQkMDKRJkybMnj07W5G6dOkSHTt2JC4u7o43r6xWrRoXL14EIDw8nF69elGzZk1cXV359ttvefLJJwt6V0REpAi5b4cQr127xuDBg6latSoAtWvXJiwszLrdrXNgFSpUsBaq250/f55atWrx+++/ExUVxdWrVwkLCyMxMZGPP/5YBUxEJI90CPEeypQpw9y5c5k0aRKXL1++63aVKheHv64AACAASURBVFWievXq2Q4NxsTE8OWXX9KmTRu2bt1Kjx49WLFiBcuXL2fjxo3s27ePq1ev3o/dEBF54Jj1EOJ9PQdWu3ZtgoKCWLly5Z9uN2fOHM6ePUuvXr3o06cPf//73wkNDaVkyZKEh4fTpUsX67bFixenTZs22UY0iohI7pm1gBXoIUQ/Pz/8/PyyLRsyZMgdt+3bt6/1cYkSJZg6deodt9u6dWuOZXfbVkRE7k2HEEVERO4jTSUlImLnzNoDUwETEbFzKmAiImJKKmBFTX9jbid+/oN+huQY+QGpWWm5ITmPHyxhSA7AsmXG5KxNSjIkZ8iy9wzJAVjhMcKQnMGDthiSk2XgqesZTg6G5CS9bjEkB6B06emG5JybZ0gMTz1lTI7RWRUqGJdl1gKmQRySb0YVLxERWzy4PTAREckVs/bAVMBEROycCpiIiJiSWQuYzoGJiIgpqQcmImLnzNoDK1IF7OzZs8ydO5cbN26QnJzMs88+y/Dhw2nevDn79u0DYP/+/SxZsoS0tDScnZ2pUqUKb775pvVOzSIiYhsVsHyKj49nzJgxLFq0iBo1apCZmcnIkSNZv369dZvTp08zd+5cPvjgAypWrAjAqlWrWLZsGaNHjy6spouImJoKWD5FRkbi5+dHjRo1AHBycmLOnDm4uLjw/vvvAzdvejlkyBBr8QIYNGhQIbRWROTBoQKWT5cuXaJatWrZlrm7u2d7HhcXR/Xq1QGIjY3ljTfewGKxkJmZybp16+5bW0VEpPAVmQLm7e3NqVOnsi2LjY3l119/tT6vXLkycXFx1K1bl2rVqhEWFkZqairPP//8/W6uiMgDw6w9sCIzjL5Fixb861//4ueffwYgPT2dkJAQzpw5Y92mT58+LF68mEuXLlmXHTx48L63VUTkQaI7MueTh4cHISEhTJo0CYvFQlJSEi1atKBfv36EhoYCUL9+fcaPH8+ECRNIT0/nxo0bVKxYkffeM27iVhERe2PWHliRKWBws0CtXr06x/JbQ+gB/Pz88PPzu5/NEhF5oJm1gBWZQ4giIiK2UAETEbFz9+McWEpKCsOHD6dfv3787W9/4+rVq3fc7saNG3Tp0oWoqKh7ZqqAiYjYuftRwNatW0edOnVYu3YtXbt2tY5t+KPp06fj4JC7G62qgImI2Ln7UcCio6Px9/cHICAggAMHDuTYZvny5TRs2JC6devmKrNIDeIwWuCWfvnOmNccqpeOz3fOj1dKUrPYxXzn3FSai9dLGJLUslH+923ZspKs7bPVgNYAtOLnK/nft+rAxkoj8t8cgEQY/JcfDQiqAYmJ+Y/xKMmVK/mPuSXpdYshOe5zc/dX8z3NsjBqVP5jRo2CD1e55jsndGEarw0z5m/9/V9n0fTXiPznVOpuQGsKTnh4OB999FG2ZeXKlbPOWevu7k5CQkK29QcOHOD8+fNMnz6do0eP5up9HCwWizGf3iImMNCYnI3L8v8FDxjzxfU/F/E2JMfbw6B927PHmBzg56c6G5Jj5OWBgY2MKF6Al5chMZdSShqSAzBvnjE5hhUv4PUkY76SSpTOf/ECjB2it2mTcVndjStiDRrk7/XHj997m2HDhvHyyy/ToEEDEhIS6Nu3L9u2bbOuHzt2LBcuXMDFxYUff/yRsmXL8s477/DYY4/dNfOB7oGJiMi93Y9h9D4+Puzdu5cGDRoQFRXF008/nW39/PnzrY8nTJhA+/bt/7R4gc6BiYjYvftxDqxv376cPXuWvn37smHDBoYNGwbAO++8w/HcdOHuQD0wERE7dz96YMWLF7/jrEnjx4/PsSwkJCRXmeqBiYiIKakHJiJi58w6lZQKmIiInTNrAStShxAHDhxoPZmXlpbG008/zbJly6zrg4KCOHHiBC+//DKDBw8mMDCQuXPnkpWVVVhNFhExPbPeTqVIFbBmzZpx5MgR4OZV282bN2fv3r0ApKamcuHCBZYuXUr//v1ZsWIFGzZs4Ny5c0RGRhZms0VEpBAUqQLWtGlTawHbu3cvvXr1IiEhgYSEBL755ht8fX0pX748mzdvJjo6moyMDBYuXEirVq0KueUiIualHpgBHn/8cX788UcsFgv//ve/8fX1pUmTJuzfv5/Dhw/j7+9PcHAwTz75JO+++y5NmzZl4sSJOaYkERGR3FMBM4CjoyN169YlKiqK8uXL4+rqSkBAAEePHiU6OppmzZpx8OBBBg0axJo1a9izZw8lSpS466zGIiJybypgBmnWrBlLliyxzlr89NNPc+rUKbKysihdujRz587l8OHDwM0JIR9++GFcXQ2a80xExA6pgBmkadOmREdH8+yzzwLg6uqKp6cnvr6+ACxcuJDFixfTvXt3+vTpQ0xMDC+//HJhNllERApBkbsOrEqVKnz33XfZlt1+iLBWrVqsXLnyfjdLROSBZdbrwIpcARMRkfvLYsnvtbSFczBPBUxExO5l5vP1KmAiIlIo8lvAXAxpha2K3CAOERGR3HCwWCzG3L+7qNm40ZCY6acDDckx0mSmG5Iz5vpkQ3J69jQkBoCmu43Zt8kZxuwbQNWqxuScO2dMztvOxu3b28WM+X2PGmVIDABz3R0MyZmSlGRIDs7GHahKzjDukp8SJQyLwsEhf78ri8XdoJbYRocQRUTsnjknRFcBExGxe/k9B1Y4dA5MRERMST0wERG7Z84emAqYiIjdUwETERFTsvMCdvbsWebOncuNGzdITk7m2WefpVu3bowdO5aNfxjSPmHCBGJiYihdujQZGRmUKVOGiRMnUq1aNQB2797NRx99BEBKSgovvvgi7dq1IyIigvfee8+6XXx8PD4+PkyZMsWo3RARsUN2PAoxPj6eMWPGsGjRImrUqEFmZiYjR47k66+/vutrXn/9dQICAgA4cuQIo0aN4pNPPuHo0aOsWrWKJUuW4O7uzrVr1+jduze1a9cGoGPHjowbNw6ArKws+vXrx4kTJ3jiiSeM2BURETEJQ0YhRkZG4ufnR40aNQBwcnJizpw5NG7cOFevb9SoES4uLpw/f57w8HAGDhyIu/vNC+PKlClDeHg4tWrVyvG6pKQkEhIS8PT0NGI3RETsVGY+fwqHIT2wS5cuWQ/r3eLu7o6LS+7nxypXrhzXrl27Y1apUqWsj7dt28axY8e4fPky7u7uvPrqq9bCKSIieWHOc2CG9MC8vb359ddfsy2LjY3ll19+yXXGxYsXqVSpEt7e3jleFx0dzfnz54GbhxA//vhjli1bRlJSkoqXiEi+mbMHZkgBa9GiBf/617/4+eefAUhPTyckJIQzZ87k6vX79u2jWLFiVKpUie7du7N8+XKSk5MB+O2333jjjTe4ceNGttdUq1aNKVOmMHLkyBzrRETEFuYsYIYcQvTw8CAkJIRJkyZhsVhISkqiRYsWBAQEMG/ePLp3727ddsKECQDMnTuXpUuX4ujoiLu7OwsXLgSgYcOGBAYGMnjwYJydnUlJSWHMmDHUrVuXU6dOZXvfpk2b0rRpU9577z2Cg4ON2BURETEJw4bR169fn9WrV+dY/s033+RY5uvr+6dZnTt3pnPnzjmW314Ib5k5c6YNrRQRkZzseBi9iIiYmTkHcaiAiYjYPXMWMM1GLyIipqQemIiI3TNnD+yBLWA7PAINyWnXzpAYfGtcMiYIIK6jITHDShsSQ81Vxt3inq5dDYlJWW9IDAAvvWRMzvffG5MD/Y0K4tw8Y3JKlHY1JgiYkpS/29vfMs3dmNvcBxiSclOLIUOMCwsNNS5LBUxERMxJoxBFRMSUzNkD0yAOERExJfXARETsnjl7YCpgIiJ2TwVMRERMSQVMRERMSaMQDfGf//yHGTNm4OTkhKurK3PmzMHLy6uwmyUiIkVMkRuFOGvWLN566y3CwsJo3bo1S5cuLewmiYg84Oz4fmC5MWzYMAYMGICvry8nTpwgNDSUxYsX59ju3XffpUKFCgBkZmbi5uZGXFwco0ePpnLlysTFxdGhQwfOnj3LqVOn+Mtf/sKYMWPu126IiDyAdA7sT/Xq1YvNmzfj6+tLREQEgYF3nurpVvE6evQoH3/8MWvWrCE5OZnY2FhWrFhBSkoKzz33HFFRURQvXpwWLVqogImI5Is5C9h9O4To7+/PiRMnuH79OkeOHCEg4O4zjO3YsYMpU6bw4YcfUrZsWQCqVauGp6cnJUuWxMvLi9KlS+Pm5oaDg8P92gURESlC7lsPzNHRkXbt2jF16lRatWqFk5PTHbf79NNP2bBhA2FhYZQu/f+zzapQiYgUFI1CvKcePXrQqlUrdu3adcf1mZmZzJo1i8qVKzN8+HAAnnnmGbp3734/mykiYmfMeQjxvhawypUrExMTc9f1Tk5OHD58+I7rNm7cCICbmxtffvmldfm+ffuMbaSIiN1RAcu1ixcvEhwcnGP5M888w4gRIwqhRSIi9kwFLNe8vb0JCwsrjLcWEZEHRJGbiUNERO439cCKlLg4Y3Lq1zcmZ8eRCsYEAe0bG/PPVtXDkBioW9egIKB2bUNiqlY1JAYAx4w0Q3J+/dXVkJw6HomG5AA89ZRBQRkZBgUBzsZ8vu9+oY5togzKAWixbZtxYaGhxmVpFKKIiJiTemAiImJK5ixgRW4yXxERkdxQD0xExO4VfA8sJSWF119/nd9++w13d3fmzJljnSrwltmzZxMdHY2joyPBwcE8/fTTf5qpHpiIiN0r+NuprFu3jjp16rB27Vq6du1K6B8GoZw+fZpvvvmG8PBw3nnnHWbNmnXPTBUwERG7l5XPn3uLjo7G398fgICAAA4cOJBtfYUKFShWrBhpaWkkJibinIvRqDqEKCIihgoPD+ejjz7KtqxcuXJ4enoC4O7uTkJCQrb1zs7OODo68vzzz5OQkMCMGTPu+T6FWsBOnTrFK6+8Qo0aNQDo27cv7du35/3332fPnj04Ozvzxhtv0KBBg8JspojIA87Yc2C9evWiV69e2ZYNGzaMpKQkAJKSkihZsmS29Vu2bMHLy4vly5eTlJREv379eOqpp6hUqdJd36dQC1hMTAwvvPACgwcPzrbs8OHDhIeH88svvzB8+HA++eSTQmyliMiDruAHcfj4+LB3714aNGhAVFRUjgEaJUuWpESJEjg5OeHu7o6rqyvJycl/mlkgBWzYsGEMGDAAX19fTpw4QWhoKIsXL86x3cmTJ/npp5+IjIzkoYce4o033iA6OprmzZvj4OCAt7c3mZmZXL16lZEjR/Loo49y9uxZSpQoQaNGjfj666+Jj49nxYoVlCpVqiB2RUTEDhR8Aevbty/BwcH07dsXFxcX5s+fD8A777xDu3bt6NSpE0ePHqVPnz5kZmbSqVMnatas+aeZBVLAevXqxebNm/H19SUiIoLAwMA7btegQQN69epF/fr1Wbx4Mf/4xz/w9PTMdiPL24+VNmjQgEmTJvHiiy9SrFgxVq5cSXBwMP/+979p1apVQeyKiIgdKPgCVrx4cd57770cy8ePH299PH36dJsyC2QUor+/PydOnOD69escOXKEgIA7z0rWunVr6v9vssHWrVtz6tQpPDw8rMdJ4eax0lsn/urVqwfc7GrW/t+ceSVLliQ1NbUgdkNERIqwAilgjo6OtGvXjqlTp9KqVSucnJzuuN2LL77I8ePHAThw4AD16tXDx8eHr7/+mqysLC5evEhWVlaOi91ERMRIBX8dWEEosEEcPXr0oFWrVuzateuu20ydOpUZM2bg4uKCl5cXM2bMwMPDg0aNGtG7d2+ysrKYPHlyQTVRREQAzUb/B5UrVyYmJuZPt6lXrx7r16/PsXz48OEMHz4827Lbb4C5YMEC6+M333wzny0VEbF35pzMt8CH0V+8eJHg4OAcy5955hlGjBhR0G8vIiL3pAJ2R97e3tl6TyIiIkbQVFIiInZPPbAi5bZLyfKluvNFQ3JKN/c2JAdg6x5jRmV29tpvSI5hv2xg656S994oF7p2NSTmpowMQ2ICmhvz3+3SFR9DcgCeesqgoE2bDAqC5AxXQ3JaDBliTM62bYbkAEyLjTUsa4phSaBBHCIiYlLm7IHpdioiImJK6oGJiNg9c/bAVMBEROyeCpiIiJiSCpiIiJiSOUchahCHiIiYUpHogf3nP/9hypQpODk5UaNGDWbNmoWjoyMzZ87k6NGjuLu7AxAaGkp6ejrjxo0jJSWFChUqMHv2bIoXL17IeyAiYmbmPIRYJHpg77//PkOHDmXdunWkpaWxZ88eAGJiYli2bBlhYWGEhYXh6elJaGgoHTt2ZO3atTz++ONs2LChcBsvImJ65rydSoEWsGHDhnH48GEATpw4wZC7XBn/2GOPcf36dSwWC0lJSTg7O5OVlcX58+eZPHkyffr0YdP/rvSPjo7G398fgICAAPbvN2g2CRERu2XOAlaghxB79erF5s2b8fX1JSIigsDAwDtuV6NGDaZPn87ixYvx9PTEz8+P5ORk+vfvzwsvvEBmZiYDBgygfv36JCYmWu/Q7O7uTkJCQkHugoiIFFEF2gPz9/fnxIkTXL9+nSNHjhAQEHDH7WbNmsWaNWvYuXMnXbt2JSQkhOLFizNgwACKFy+Oh4cHjRs35vTp03h4eJCUlARAUlISJUsaM3eeiIj9MmcPrEALmKOjI+3atWPq1Km0atUKJyenO25XqlQpPDw8AKhQoQLx8fGcO3eOvn37kpmZSXp6OkePHqVevXr4+Piwd+9eAKKionj66acLchdEROyAOQtYgY9C7NGjB61atWLXrl133WbmzJmMHj0aZ2dnXFxcmDFjBlWrVqVLly4EBgbi4uJCly5deOSRRxgyZAjBwcFs3LiRMmXKMH/+/ILeBRGRB5w5rwMr8AJWuXJlYmJi/nSbRo0asX79+hzLX3rpJV566aVsy7y8vFi+fLmhbRQRsW/mHEZ/364Du3jxIsHBwTmWP/PMM4wYMeJ+NUNERB4Q962AeXt7ExYWdr/eTkREck09MBERMSUVMBERMSVzDuJwsFgslsJuhIiIiK2KxFyIIiIitlIBExERU1IBExERU1IBExERU1IBs1F8fHxhN6FA/fzzz4XdBAHOnz+f74xr167x4YcfGtAakaLJrobRnzt3jho1agCwd+9eTp06Rb169e46S/6d9OjRg3LlytG8eXMCAgJo0KBBntuzZcuWu67r2rWrTVmpqamsX7+eAQMG8N///pe3334bV1dXgoODKV++fK5zRo4cSalSpQgMDKRNmzY4Oxv7ERk4cCAfffSRTa9JTU1l3bp1HDx4kISEBDw9PWnUqBH9+/enWLFiuc4x8vdtZNadjB071noPPFsdP36cNWvW8PXXX9O2bVubXpuYmMiyZcsYNWoU/fr149dff8XR0ZH33nuPxx9/3Kas3bt306pVKxISEggNDcXV1ZVXXnmFEiVK2JQDN29u6+npSfXq1YGbn4n33nuP119/3eYsgAULFrBp0yYcHBysy77++mubcxISEjh8+DCpqanWZe3bt7cpw6jPtz2yqwI2efJkVq9ezYcffkh0dDTPPvssmzZt4vjx4wwbNixXGf/85z+Ji4vj8OHDrF27lmnTplGjRg38/f1t/uKaNGkS3t7etGjRAjc3N/JzRcPMmTMpUaIEWVlZTJs2jSeeeIJHHnmEqVOn8o9//CPXOZs3byYmJoZPPvmERYsW0bJlS3r37m394sivxMREm18zceJE6taty6hRo3B3dycpKYmoqCjGjh1r07798MMP1sfbt2+nQ4cOANm+xPKSBWCxWIiIiKBYsWKGFDBbPwtpaWls376dNWvW4OrqSmJiIpGRkTZ/Ac6aNYu6desC4OTkxM6dOzlw4ACLFy9m0aJFuc6ZN28e58+fp0WLFsyYMYPixYtTsWJFpk6dyjvvvGNTm2bMmMGpU6dITExkyJAhPPTQQ4wYMYJmzZrZlHO7vXv38tVXX+Hq6prnDIDBgwdTq1Yt622dHBwcbC5gRn2+7ZLFjgQFBVksFoulb9++lvT0dIvFYrFkZWVZ+vXrl6e8kydPWlavXm3p16+fpWvXrja//rfffrOsXr3aMnjwYMubb75pOXjwYJ7aYbFYLL1797ZYLBZLSkqK5ZlnnrGkpaVZLBaLpU+fPnnOTE1NtWzfvt0yZMgQy+DBg/Occ7sePXrY/Jq//vWvd1zet2/fPLejf//+eX7tH50/f97Sp08fy8SJEy0JCQmGZNr6e2rWrJll9uzZlp9++slisVgsL774Yp7e9/bfy+2Pe/bsaVPOrc9jenq6xdfX15KcnGyxWPL2ebz1fys+Pt7SvXt3S7t27Sz79++3Oed2EyZMsMTHx+crw2KxWF544YV8ZxTE59te2FUP7OrVq5w6dYry5cuTmJhI6dKlSUlJydb9v5ddu3axd+9ejh07Rp06dQgICGDBggVUqFDB5vaULVuWoKAggoKC+Pnnn9m6dStLliyhXr16jB071qYsd3d3AI4ePcoTTzyBi4sLgE379kfXrl0jLi6Oy5cvU7NmTZteu2HDhhzLLBYLV69etbkdbm5ubNmyBX9/fzw9PUlMTGTv3r15OhR1S156XXeyZs0aPvroIyZOnEiLFi1sfv2YMWNytMVisRAbG2tTzsCBA/nss8+4cOECPXv2zHNvPivr/2dkmD17tvWxrb/rW5/H48eP88gjj1C8eHEA0tPTbW7TrXsF3vq3X758OVWrVrU553aPPPIIzZs3x8vLC4vFgoODA5GRkTbnNG/enHXr1lG7dm3rsmeeecamjIL4fNsLuypgPXv2ZOXKlZw9e5Y1a9YwcOBAOnbsyJgxY3KdMXr0aNq1a8eiRYuoVauWYW1zdHTExcWFxMTEPJ3Ad3d3Z8OGDezcuZNOnTqRlZXF1q1bqVy5sk05N27cYNeuXWzevJn4+Hh69uzJ8uXLbb7z9eXLl++4vHv37jblwM3DUf/4xz9YvXo1SUlJuLu74+Pjw5w5c2zOMsp///tfJk6cSKlSpQgPD6dUqVJ5yunTp49Ny+/mb3/7G3/72984fPgw4eHhnDx5krlz59KlSxfq1KmT6xwXFxcuX75M+fLlrUXi8uXLNp8LdXZ25uuvvyYiIoI2bdoA8O9//ztPd1C/vcBXqFAh38ULYMeOHURGRub7ju5HjhwhLS2Nf//738DNttpawIri59ss7H4qqcTEROtfeLlx+fJl9u7dS1RUFHFxcfj4+BAQEEDjxo1tPp5++fJlPv/8cz7//HNKlChBhw4daNOmjU3tueXq1assXLiQihUrMnToUA4cOMDq1auZPn26TYM4mjVrRsuWLenVq1e+BqjccuHCBS5cuEDFihV56KGH+OWXX3B1daVcuXI25aSnp3P69GkSExMpWbIkjzzyiM2/71u9HYvFwsGDB2nSpIl1na03Rm3UqBGurq40btw4Rw/KlqxbX3x3YusX4e3i4+P59NNP+eSTT/50wMkf7d+/n3nz5vHaa69RvXp1YmNj+eCDDxg/frxN7Tl58iTLli3Dy8uL4OBgDh48yNy5c1m4cKHNvfkWLVrQqVMnLBYL27Zto1OnTtZ1tvzxebsRI0Ywe/Zsa08xrwYNGsSqVavylXH7d9B3333H6dOnqV+/vqF/ID+o7L6AAYSHh9OrVy+bX5eZmUlUVBTLli0jJiaGY8eO2fT6xx9/nIcffpjnn38eLy+vbF+EvXv3tilrzZo1LF++HGdnZ9566y38/f1tev0tt/4CzG/hSUpKYuzYsVy/fh1vb2/OnTtHmTJlKFGiBMHBwTb9Fb1nzx7mz59PjRo1cHd3JzExkR9//JExY8bQqlWrXOccPnz4rut8fX1znWNkVt26dalevTpPPPEE8P+DNxwcHGwuqomJifzzn//kwoULeHt75/mPodOnT7N+/Xri4uKoXLkyffr0oV69ejZlBAUFcfHiRXx9ffH396d58+Z57u1s3rz5ruu6deuWp8zAwEDi4uKoVq0acPP3faeb6t7LrFmzeOqpp3jssces/38ffvhhmzIGDBjA6tWriYiIYO3atfj5+REdHU23bt1s/h6wN3Z1CPFubh2fz42rV68SHR3NkSNH+Oabb3BycsLPz49Ro0bZ/L5DhgyxfuivXLli8+tv99lnn7Fr1y4SEhIYP358nguYg4MDr7766l0LT27Nnz+fdu3aZRuRN3PmTGJjY20+BPTBBx+wbt26bF/GCQkJDBo0yKYCVr9+fSIiIihRogRdu3bF0THvl0H+sUglJiayefNm1q1bx44dO3Kd88knn7Bt2zZiYmJo3LgxnTt3ztMhsnPnzjF06FBatmxJ1apVOXv2LEuXLiU0NNTmL9S6desydepUm9twu7CwMNLS0vjmm2+shzWzsrLw9fVl6NChNmV169aNH374wdoj+fnnn0lJSbHp0OgfLViwIM+vvd3p06c5ffq09bmDgwOrV6/OU1Z4eDgfffQR7u7upKenM2DAABWwe1ABA+sx+tzo06cPTZs2pWnTpgwdOjRfx9CHDx9OQkICzs7O2YrohQsXbM5ydXXFxcWFsmXL5ulE+S3z5s0zpPCcPn2ayZMnZ1t2a0CIrdLT03MMB3dzc7N5IMaECROoXr068fHxnDt3Ls+Hn273/fff8/HHH7Nz507atGlDSEiITa+vV68e9erVsx7WDA0N5cqVK7Rs2dKm82Bz5sxh/vz51iHwAB07dmTOnDl88MEHuc5p3rz5XdfZep2Uq6sr9erV4/fffycpKYmYmBj+85//2JQBNwdOvfvuu2zatAlPT0+uXLnCxIkTef311236AwZu/gH64Ycf4ubmxqBBgyhTpgwA77//fq4vpbnd3//+d5KSkvD09KR06dI2vx5uHq24fv065cuXt55rdHZ2ztf/Y3thVwXsyy+/ZMaMGTg7OzN69Gjr9RovvfRSrv9qCgsLo2LFijmWf/vttzz55JM2tSc8PJylS5eSFH4v3wAAEC9JREFUlZVF7969+dvf/gbcvC4kr3/Fge3XEN3OqMJzpzaEhobSv39/m9vUu3dvunXrxtNPP20dpRUdHU1QUJBNOdeuXeO9997DYrHwwgsv2NyO2+3atYs1a9aQnp5O9+7d+emnn5g+fXqe8xwcHGjYsCG//fYbW7ZsITw83KYClpiYmK14AdbiYYuvv/6a9evX06NHD1xcXDhy5AhnzpyhX79+NuWsWLGCvXv3kpCQQJMmTfjLX/7C2LFjraNjbc3asGEDnp6eAPj4+LB27VqGDBlicwEbP348rVu3JiMjg/79+/Phhx9SpUqVPz0kfCfHjx9n+vTpZGVlWQ9rWywWpkyZQsOGDW3K8vHx4bXXXuP8+fOsXLmSoKAg+vbta8j1hA86uypgH3zwAVu2bCErK4uRI0eSmppKt27dbPrCf/31163F5fXXX2fu3LnAzUNmthadjRs3sm3bNuBm0frggw949dVX81SAvv/+e8aOHYvFYrE+vsWWcylGFZ6yZcty4sQJ67kduHli/9ZfvLYIDAykZcuWHD9+nKSkJDw8PBg6dCheXl425dzqsTk4OGQbLp4XwcHBDBgwgBdeeIEyZcrwxRdf5CknPT2dqKgotm3bxk8//cRzzz3HG2+8YfNAh7t9ZjIzbbvT7vvvv8+ZM2fo0qULLi4uVKpUiVWrVnHt2jWbDv2Fhobi7+/PK6+8wjPPPJOnwnWLq6trjt5NuXLlcHNzszkrLS3Neljuscce47XXXiMsLMzm/3OzZ89m0aJF2Ub5Xrx4kZEjRxIeHm5T1ptvvgnc/DdMTk6mRIkSLFiwQIM4csGuCpiLi4t1uHNoaCgDBw6kcuXKNh2Kuv2D/uuvv95xeW45OTlZR9LNmTOHl156iapVq+bpGqWFCxdaH9s6BPt2RhWeCRMm8Oqrr9KkSROqVatGbGwsBw4csOlw1i2pqals376d/fv3k5CQQMmSJfnhhx9snmrHYrGQnp6OxWLJ9hiweUTjF198QUREBH/961+pU6cO165ds+n1tzRt2pQKFSrQoUMHunfvjoODAxcvXuTixYt/ejjvjx577DHWrFnDX//6V+uytWvX2jz4Yu/evWzcuNH6GaxatSoLFiygT58+NhWwAwcOcOTIEaKionj33XcpX748AQEBPPvss3h7e9vUJgcHB1JSUrL9W9+4cSNPh9gyMzP57rvvePTRR/Hx8eGVV15hyJAhJCcn25STkZGR4xIVW79Lbrdnzx6cnZ3x9fVlxowZxMfHM2bMGJt/V/bGrkYhjh8/njJlyjBy5EhKlCjBL7/8wosvvkh8fHyuj+8HBQURFhaW4/GtkUS2eOedd4iNjeXtt9/G09OT+Ph4Bg0aZJ2qqjDExsbetfDcGrGVG6NGjWL27NlERkZy8eJFvL29admyZZ4uzhwzZgx169YlICAg21Q73377rU1T7bRs2dI6jP52eb2I9ZYDBw6wceNGvv32W9q2bWvTYJcJEybc9Uvv9guJ7yU5OZm33nqLM2fOUL16dS5cuED16v/X3vnH1Ny+cfytH+pYesIZosTMj9WxGW1+hw1zlkyb5A/OY3meZ49MaGYZlUhkxDhGi5IWG2pSRzY8sxzDJL8KPZ5MpVOKYpWWH93fP+x8do46fbs/53M6pz7X6698zrq6zkn3dd/XfV3vawySk5O5ipQsaVWK+f9tSlFREVJTU1FSUsJ9D3bz5k1kZmbi999/h6+vL+rq6nD69GmEh4dj2bJlXLZevnyJpKQkHDlyRDjB5+XlISkpCQ8ePOixHa1Wi+LiYsyZM0dIa+v1egQGBnLfpe3cuRPt7e1obW1FY2Mjli9fjhEjRuDChQs4c+YMly3ZYXuxD8fh27dvLCcnR5C1YYyxDx8+sMTExB7bMMpRdfd1T4mKimL3799n7e3twrO2tjaWkZHBbUsqNm/ezL58+cLy8/NZamoqy8/PZ62trdx2xHwelugrUjuNjY2S/e4ePnwo2oenT5+yuro6Ud//119/saqqKrNnVVVVTKPRcNl59uwZy8jIYBs3bmRqtZpt3bqVXbx4kdXU1Ijy69GjRywmJoZFRESw2NhY9vjxY1F2LPHjxw/GGGPHjx/v8feUlZWxc+fOsZMnT7KsrCxWVlYm6mcbpew6OjqYWq0Wnkspd9ZfkVUK8fHjx/D19UVpaanZc54qxJKSEiG18+nTJ+Fr3sty4GdRwYwZM8yeubu7Y926ddy2pKKxsREKhYJ7Z/sr1dXVSElJ6fI13uq/rqR2ioqKuE9znz9/xokTJxATE4OKigrExMRg4MCBSEpK4i41b2lpQXx8PBISEuDh4YH8/HyhSEgKDhw4wKVGr9VqLb7GcyLYtm0bIiMjhRO4wWCAXq/nVoU4fPgw5syZgw0bNsDf399q6a5p06ZBqVSiqakJI0eO7LKQyhqMLRU9zXwUFhZCrVbDz88PWq0W9+/fR11dHfz8/Libo79//447d+6gqakJHz9+REVFBTw8PPD9+3fu9yE3ZBXA1q5da7FptKcqA78GP2uQcpGXCql8cnd35w4KlpBKaicuLg7Tp08H8FPhfM2aNZg4cSISExO5UzXx8fGYMmWKsFip1WrU19dj9+7dOHToEJetrmCcmX3TgpazZ8+K3gRNmDAB58+fx61bt1BfX4+AgABs3LiRuyHaWnUKU969e4ctW7bA1dUVw4YNg8FggEKhEK1B2h09/dwvXLgAtVqN/fv3w9fXF7Gxsbh37x7i4uK4G9ATEhKg1Wrh7++PuLg4rF27Fl5eXkhMTBTzFmSFrAKYVE2jt2/fxrVr14TdYHBwMGbOnMltR8pFXiqk8kmpVIpWSfiVIUOGYNeuXVbbaWhogEajQUtLC8rLy7FixQoMGDAAbW1t3LYMBoPZQuXi4oL169dj1apVVvsJ8IsNmxbu6HQ6qwp5Bg8e7FAl3AcOHEBMTAwCAwOFZ3fv3sWePXu6PXmKgfdzf/v2rRBoxo8fL6oadfLkyWbvwzjmx4jYHjU5IKsAJkXTaHZ2NoqKiqDRaITd4KlTp1BZWcndNS/lIi8VUvmkUqkk8EZajMUMDx8+RGBgoLBYiQlglsRteasZw8PDu1Sjf/PmDbdPRqRS2ncUGhsbzYIX8FOzMy0tzU4e/QxcZ8+ehYuLC168eAF/f388f/7cJs3H9iro6gvIKoAZsaZpND8/H9nZ2XB2dgbwc/c0d+5cREREcAcwR1zkpfKJpxLv/xESEmKxTJ1HHWL48OFISUmBXq9HZGQkWlpakJmZiUmTJnH7NGbMGGHisJFbt25xCScDllse+lsQsgZLmwVrevkiIyMRHh6OoKAgs8+6pynE1NRUlJaWYuzYsSgvL4evry/27t2LhIQE0T5ZgjedLCdkVUbfVdNocHAwV9Ooaem8KZbKjwnrqaysRHR0NLKzs60asd7e3o6cnBwolUosWbIET548QUFBAbZu3cp98W7s0/n48SN8fHxQW1uLoUOHIjk5matn7vDhw0Jpv06nw7Jly4T5VDx3jqYnudevX2PChAmCHTEitY7E8uXLsX37drNnjDEcOnQIeXl5omyWlpYiNzcXjx49wqJFi7By5Up4e3ujtraWewRRV0iZ9rO2haE/I6sTmBRNo5Z2xjLaB/Q6fn5+0Gg0ePDgAebPny/ajpubm5kk0tSpUzF16lRRtjw9PXH69GkYDAbU19fD29tbVGWcqWLKkydPRBfvJCcn459//sFvv/0m3Mc2NDQgIyNDlD1HIiAgADqdrtNzf39/0TZVKhVUKhU+f/6M3bt3Y/HixSgtLZUkeAGU9ustZBXAFi1ahObmZpSXl3eaeNvTAFZWVtYp7cMYQ0VFhWR+EuYY51k1NTV1mm3FU2wgpVBtc3MzLl++DE9PT4SGhsLJyQnl5eWIj48XfeKxJm149OhRODs7o6GhAW1tbfDx8cHOnTuh0WhE23QULDV0FxcXi7ZZXFyM3NxcPH/+HEuXLpU05Q2I29Bam9aUI7IKYAEBAUhPT4ezszNiY2MRFBTEbePq1as28IzoDtPNgU6nE6q0eBd8vV6PV69e4fr160IFqVqtxtixY7l92rx5M1QqFV68eIHa2loolUpotVrJF8KeUlVVhdzcXHz9+lUQ4j137ly/1tPj7ZUzJTMzE2FhYdi3b59N7hvF2IyMjERubi5SUlLM0poHDx6U3L/+gqwCWEFBgdnMLDEBrLsJuqNHj7bGPcICv6bZTP/Nw/Xr15GWlobVq1djypQpMBgMiIqKQlRUFLeqeWtrK6Kjo8EYw9KlSzF69Gjk5eVxT5o2nRJtjQizsU9r4MCB6OjoQHp6uujxHn0Fa04mx48fl9ATabB1WrM/IqsAJsXMrF27dmHUqFFYuHAh3Nzc6Hjfy1izW87MzERWVpaZgkdoaKiosRzGcvkBAwbAzc0NJ0+eFKWObpqOtqZ3y5Rhw4b1++AFOEalppRpP1unNfsjsgpgpogNPEVFRdDpdLh9+za8vb0REhLSSQ6KcExcXFw6yU95eHgILRE8mC5WXl5eooIX0Hmys1ikGqfjiNiiV04qpEz72Tqt2R+RVRn97NmzMWvWLKGRedasWcJrYv7Iq6qqcPXqVZSUlCAgIEB0aovoHtM0mzW/N0vlyGLKlKdPny6Uqv/33392L1vvrupNqiBpL969ewe9Xo+ZM2fC1dUVtbW1+PfffxEUFCRKSccWGNN+N27ckFRujugeWZ3ApJqZZcTJyQmurq5oaWlBZWWl1faIrpEqzfbryQQQX0EaEREhVEC+f/9ecnFZXvp6kOqOK1euCEM2FQoFGGOihmzaAkr72RdZncCkoKGhAYWFhSgsLMSgQYMQHByMJUuWcIudEr2PlKcU01MbNZralrCwMLMhm8BPUYLVq1cjJyfHjp4BmzZtQlhYGObNm0dpPzsgqxOYFMyfPx/jxo2DWq2GUqnEt2/fhCZLXikponeR8pRiuu+jPaBtUSgUnYKDq6srt3qKLXDEakY5QQGMkw0bNgh/TB8+fLCzN4S9MF1QaedtWxQKBaqrq80mgldXV9PnTlAKUQzNzc1wcXExG9VeU1NDfWAywtGKOPozr1+/RnR0dJdDNq2RkyL6PhTAOLl06RLS0tLQ0dGB8PBw/PnnnwDoHkRu1NTUWHyNNjLS09zcLAzZHDVqFBYsWED3zgSlEHm5ePEiCgoKAAA7duzAqVOn8Pfff9M9iMygINW7ONqQTcIxoADGibOzs6DCkJycjD/++AM+Pj6UjycIguhlnOztQF9j2rRp2LRpk3APduzYMaSnp+PVq1f2do0gCEJW0AmMk5qaGqxZs0aQDvL09MT58+fp4p4gCKKXoQDGSVNTUyftQ3d3d6xbt84+DhEEQcgUCmCcVFdXIyUlpcvXxE7TJQiCIPihAMaJu7s7xo0bZ283CIIgZA8FME6USiVCQ0Pt7QZBEITsoSpETlQqlb1dIAiCIEBKHARBEEQfhU5gBEEQRJ+EAhhBEATRJ6EARhAEQfRJKIARBEEQfRIKYARBEESf5H/gVd2pl/DT4QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 504x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# much smaller dataset now\n",
    "fig, ax = plt.subplots(figsize=(7,6))\n",
    "sns.heatmap(df.corr(), cmap='seismic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "# let add name to nameplace holder, \n",
    "name_['CIG'] = 'ceiling height dimension, m'\n",
    "name_['CLDCR'] = 'cloud cover, 1'\n",
    "name_['v_2m'] = 'wind speed at 2m, m/s'\n",
    "name_['v_50m'] = 'wind speed at 50m, m/s'\n",
    "name_['v_850'] = 'wind speed at 850hPa (~1450m)'\n",
    "name_['WS'] = 'observed ground wind speed, m/s'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nudgets are here!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# and recreate the figure above with the standard name\n",
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "df.corr()['PM2.5'].sort_values().to_frame().dropna().drop('PM2.5').plot.barh(ax=ax)\n",
    "ax.legend(['$PM_{2.5}$'], frameon=True)\n",
    "labels = [item.get_text() for item in ax.get_yticklabels()]\n",
    "\n",
    "# looking for a standard name for each abbreviation\n",
    "new_label = dict()\n",
    "for label in labels:\n",
    "    if label in list(name_.keys()):\n",
    "        new_label[label] = name_[label]\n",
    "    else:\n",
    "        new_label[label] = label\n",
    "ax.set_yticklabels(new_label.values())\n",
    "ax.set_title('Correlation of $PM_{2.5}$ with selected data\\nfor Hanoi 2018', \n",
    "          y=1.05, fontsize=15, weight='bold')\n",
    "fig.subplots_adjust(bottom=0.1)\n",
    "fig.text(0.7,.03,s='Datasource:\\nairnow.gov ($PM_{2.5}$)\\nncei.noaa.gov (ISD)\\nnasa.gov (MERRA-2)', \n",
    "         ha='left', color='gray')\n",
    "plt.tight_layout(rect=(0, 0.15, 1,1))\n",
    "# plt.tight_layout()\n",
    "plt.savefig('img/2020Aug-PM25-selected.png', dpi=120, optimize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- OK, now we are ready to rock some prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8116, 17)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'TQV': 'total_precipitable_water_vapor, kg m-2',\n",
       " 'T2MDEW': 'dew_point_temperature_at_2_m, K',\n",
       " 'HLML': 'surface_layer_height, m',\n",
       " 'FRCAN': 'areal_fraction_of_anvil_showers, 1',\n",
       " 'T2M': '2-meter_air_temperature, K',\n",
       " 'WS': 'observed ground wind speed, m/s',\n",
       " 'DISPH': 'zero_plane_displacement_height, m',\n",
       " 'TQL': 'total_precipitable_liquid_water, kg m-2',\n",
       " 'v_50m': 'wind speed at 50m, m/s',\n",
       " 'v_850': 'wind speed at 850hPa (~1450m)',\n",
       " 'v_2m': 'wind speed at 2m, m/s',\n",
       " 'CLDCR': 'cloud cover, 1',\n",
       " 'CIG': 'ceiling height dimension, m',\n",
       " 'PS': 'surface_pressure, Pa',\n",
       " 'RHOA': 'air_density_at_surface, kg m-3',\n",
       " 'H1000': 'height_at_1000_mb, m'}"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
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   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
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   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": true,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
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  "toc-autonumbering": true
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