src/GSOWeather.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# GSOWeather\n",
    "\n",
    "## Objectives:\n",
    "### Plot any hourly weather condition over time\n",
    "\n",
    "    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 1:\n",
    "### Plot Hourly precipitation over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Make a dataframe of the columns we need \n",
    "GraphingColumns = ['DATE',\n",
    "'REPORTTPYE',\n",
    "'HOURLYPrecip',\n",
    "'HOURLYWindSpeed']\n",
    "GraphingDF = pd.read_csv(r'../data/1052640.csv',usecols = GraphingColumns, low_memory = False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Rename the Report'tpye' column to prevent headaches \n",
    "GraphingDF.rename(columns = {'REPORTTPYE':'REPORTTYPE'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Drop StartOfDay values (always NaN)\n",
    "GraphingDF = GraphingDF[GraphingDF.REPORTTYPE != 'SOD']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Index based on DATE, then drop DATE\n",
    "GraphingDF.set_index(GraphingDF['DATE'].apply(pd.to_datetime),inplace=True)\n",
    "GraphingDF = GraphingDF.drop('DATE',axis=1)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n",
    "# Graph the hourly precipitation (Finally!)\n",
    "dateTime = GraphingDF.index.values\n",
    "HourlyPrecipitation = pd.to_numeric(GraphingDF.loc[:,'HOURLYPrecip'].values,errors='coerce')\n",
    "\n",
    "\n",
    "Precip_chart = plt.figure(figsize=(16,8))\n",
    "precip = plt.plot(dateTime, HourlyPrecipitation,label= 'HOURLY Precipitation (inches)')\n",
    "\n",
    "plt.title(' HOURLY Precipitation in inches')\n",
    "\n",
    "plt.ylabel('precip')\n",
    "plt.xlabel('time')\n",
    "plt.legend(loc=0);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Graph Wind Speed\n",
    "#dateTime = GraphingDF.index.values\n",
    "HourlyWindSpeed = GraphingDF.loc[:,'HOURLYWindSpeed']\n",
    "\n",
    "Precip_chart = plt.figure(figsize=(16,8))\n",
    "precip = plt.plot(dateTime, HourlyWindSpeed,label= 'HOURLY Wind Speed (mph)')\n",
    "\n",
    "plt.title(' HOURLY WindSpeed in mph')\n",
    "\n",
    "plt.ylabel('mph')\n",
    "plt.xlabel('time')\n",
    "plt.legend(loc=0);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Below this cell is work from before 1st presentation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Defining variables. hourlyColumns may be altered later, but this is what we are using for now"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hourlyColumns = ['DATE',\n",
    "'REPORTTPYE',\n",
    "'HOURLYSKYCONDITIONS',\n",
    "'HOURLYVISIBILITY',\n",
    "'HOURLYPRSENTWEATHERTYPE',\n",
    "'HOURLYWETBULBTEMPF',\n",
    "'HOURLYDRYBULBTEMPF',\n",
    "'HOURLYDewPointTempF',\n",
    "'HOURLYRelativeHumidity',\n",
    "'HOURLYWindSpeed',\n",
    "'HOURLYWindDirection',\n",
    "'HOURLYWindGustSpeed',\n",
    "'HOURLYStationPressure',\n",
    "'HOURLYPressureTendency',\n",
    "'HOURLYPressureChange',\n",
    "'HOURLYSeaLevelPressure',\n",
    "'HOURLYPrecip',\n",
    "'HOURLYAltimeterSetting']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Defining functions - all together so we can see them and know what we have to work with\n",
    "# without scrolling through entire program"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def getAllWeatherData():\n",
    "    return pd.read_csv(r'../data/1052640.csv',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def getHourlyWeatherData():\n",
    "    return pd.read_csv(r'../data/1052640.csv',usecols = hourlyColumns, low_memory = False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def displayWeatherData(array):\n",
    "    print array.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#delaring variables from the functions - don't need to know exactly what is in them to use them\n",
    "gsoDataAll = getAllWeatherData()\n",
    "gsoDataHours = getHourlyWeatherData()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['STATION' 'STATION_NAME' 'ELEVATION' 'LATITUDE' 'LONGITUDE' 'DATE'\n",
      " 'REPORTTPYE' 'HOURLYSKYCONDITIONS' 'HOURLYVISIBILITY'\n",
      " 'HOURLYPRSENTWEATHERTYPE' 'HOURLYDRYBULBTEMPF' 'HOURLYDRYBULBTEMPC'\n",
      " 'HOURLYWETBULBTEMPF' 'HOURLYWETBULBTEMPC' 'HOURLYDewPointTempF'\n",
      " 'HOURLYDewPointTempC' 'HOURLYRelativeHumidity' 'HOURLYWindSpeed'\n",
      " 'HOURLYWindDirection' 'HOURLYWindGustSpeed' 'HOURLYStationPressure'\n",
      " 'HOURLYPressureTendency' 'HOURLYPressureChange' 'HOURLYSeaLevelPressure'\n",
      " 'HOURLYPrecip' 'HOURLYAltimeterSetting' 'DAILYMaximumDryBulbTemp'\n",
      " 'DAILYMinimumDryBulbTemp' 'DAILYAverageDryBulbTemp'\n",
      " 'DAILYDeptFromNormalAverageTemp' 'DAILYAverageRelativeHumidity'\n",
      " 'DAILYAverageDewPointTemp' 'DAILYAverageWetBulbTemp'\n",
      " 'DAILYHeatingDegreeDays' 'DAILYCoolingDegreeDays' 'DAILYSunrise'\n",
      " 'DAILYSunset' 'DAILYWeather' 'DAILYPrecip' 'DAILYSnowfall'\n",
      " 'DAILYSnowDepth' 'DAILYAverageStationPressure'\n",
      " 'DAILYAverageSeaLevelPressure' 'DAILYAverageWindSpeed'\n",
      " 'DAILYPeakWindSpeed' 'PeakWindDirection' 'DAILYSustainedWindSpeed'\n",
      " 'DAILYSustainedWindDirection' 'MonthlyMaximumTemp' 'MonthlyMinimumTemp'\n",
      " 'MonthlyMeanTemp' 'MonthlyAverageRH' 'MonthlyDewpointTemp'\n",
      " 'MonthlyWetBulbTemp' 'MonthlyAvgHeatingDegreeDays'\n",
      " 'MonthlyAvgCoolingDegreeDays' 'MonthlyStationPressure'\n",
      " 'MonthlySeaLevelPressure' 'MonthlyAverageWindSpeed' 'MonthlyTotalSnowfall'\n",
      " 'MonthlyDeptFromNormalMaximumTemp' 'MonthlyDeptFromNormalMinimumTemp'\n",
      " 'MonthlyDeptFromNormalAverageTemp' 'MonthlyDeptFromNormalPrecip'\n",
      " 'MonthlyTotalLiquidPrecip' 'MonthlyGreatestPrecip'\n",
      " 'MonthlyGreatestPrecipDate' 'MonthlyGreatestSnowfall'\n",
      " 'MonthlyGreatestSnowfallDate' 'MonthlyGreatestSnowDepth'\n",
      " 'MonthlyGreatestSnowDepthDate' 'MonthlyDaysWithGT90Temp'\n",
      " 'MonthlyDaysWithLT32Temp' 'MonthlyDaysWithGT32Temp'\n",
      " 'MonthlyDaysWithLT0Temp' 'MonthlyDaysWithGT001Precip'\n",
      " 'MonthlyDaysWithGT010Precip' 'MonthlyDaysWithGT1Snow'\n",
      " 'MonthlyMaxSeaLevelPressureValue' 'MonthlyMaxSeaLevelPressureDate'\n",
      " 'MonthlyMaxSeaLevelPressureTime' 'MonthlyMinSeaLevelPressureValue'\n",
      " 'MonthlyMinSeaLevelPressureDate' 'MonthlyMinSeaLevelPressureTime'\n",
      " 'MonthlyTotalHeatingDegreeDays' 'MonthlyTotalCoolingDegreeDays'\n",
      " 'MonthlyDeptFromNormalHeatingDD' 'MonthlyDeptFromNormalCoolingDD'\n",
      " 'MonthlyTotalSeasonToDateHeatingDD' 'MonthlyTotalSeasonToDateCoolingDD']\n",
      "['DATE' 'REPORTTPYE' 'HOURLYSKYCONDITIONS' 'HOURLYVISIBILITY'\n",
      " 'HOURLYPRSENTWEATHERTYPE' 'HOURLYDRYBULBTEMPF' 'HOURLYWETBULBTEMPF'\n",
      " 'HOURLYDewPointTempF' 'HOURLYRelativeHumidity' 'HOURLYWindSpeed'\n",
      " 'HOURLYWindDirection' 'HOURLYWindGustSpeed' 'HOURLYStationPressure'\n",
      " 'HOURLYPressureTendency' 'HOURLYPressureChange' 'HOURLYSeaLevelPressure'\n",
      " 'HOURLYPrecip' 'HOURLYAltimeterSetting']\n"
     ]
    }
   ],
   "source": [
    "#How to use the display method\n",
    "displayWeatherData(gsoDataAll)\n",
    "displayWeatherData(gsoDataHours)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is just a smaller subset of the columns. Daily and Monthly rollups were ignored. Fahrenheit temps used instead of Celcius."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gsoData = getHourlyWeatherData()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Verifying the columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8910 entries, 0 to 8909\n",
      "Data columns (total 18 columns):\n",
      "DATE                       8910 non-null object\n",
      "REPORTTPYE                 8910 non-null object\n",
      "HOURLYSKYCONDITIONS        7938 non-null object\n",
      "HOURLYVISIBILITY           6828 non-null object\n",
      "HOURLYPRSENTWEATHERTYPE    1599 non-null object\n",
      "HOURLYDRYBULBTEMPF         8678 non-null object\n",
      "HOURLYWETBULBTEMPF         8674 non-null float64\n",
      "HOURLYDewPointTempF        8678 non-null object\n",
      "HOURLYRelativeHumidity     8678 non-null float64\n",
      "HOURLYWindSpeed            8678 non-null float64\n",
      "HOURLYWindDirection        8622 non-null object\n",
      "HOURLYWindGustSpeed        689 non-null float64\n",
      "HOURLYStationPressure      8674 non-null float64\n",
      "HOURLYPressureTendency     3555 non-null float64\n",
      "HOURLYPressureChange       1830 non-null float64\n",
      "HOURLYSeaLevelPressure     7460 non-null float64\n",
      "HOURLYPrecip               6119 non-null object\n",
      "HOURLYAltimeterSetting     6833 non-null float64\n",
      "dtypes: float64(9), object(9)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "gsoData.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The spelling here is frustrating."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "gsoData.rename(columns = {'REPORTTPYE':'REPORTTYPE'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These seem to be start of day values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>REPORTTYPE</th>\n",
       "      <th>HOURLYSKYCONDITIONS</th>\n",
       "      <th>HOURLYVISIBILITY</th>\n",
       "      <th>HOURLYPRSENTWEATHERTYPE</th>\n",
       "      <th>HOURLYDRYBULBTEMPF</th>\n",
       "      <th>HOURLYWETBULBTEMPF</th>\n",
       "      <th>HOURLYDewPointTempF</th>\n",
       "      <th>HOURLYRelativeHumidity</th>\n",
       "      <th>HOURLYWindSpeed</th>\n",
       "      <th>HOURLYWindDirection</th>\n",
       "      <th>HOURLYWindGustSpeed</th>\n",
       "      <th>HOURLYStationPressure</th>\n",
       "      <th>HOURLYPressureTendency</th>\n",
       "      <th>HOURLYPressureChange</th>\n",
       "      <th>HOURLYSeaLevelPressure</th>\n",
       "      <th>HOURLYPrecip</th>\n",
       "      <th>HOURLYAltimeterSetting</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2017-01-01 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2017-01-02 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2017-01-03 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>2017-01-04 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>2017-01-05 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>2017-01-06 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2017-01-07 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>2017-01-08 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2017-01-09 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>2017-01-10 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>2017-01-11 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>2017-01-12 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>2017-01-13 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>2017-01-14 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>2017-01-15 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>2017-01-16 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>2017-01-17 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>717</th>\n",
       "      <td>2017-01-18 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>750</th>\n",
       "      <td>2017-01-19 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>805</th>\n",
       "      <td>2017-01-20 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>2017-01-21 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>922</th>\n",
       "      <td>2017-01-22 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>2017-01-23 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>2017-01-24 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1057</th>\n",
       "      <td>2017-01-25 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1091</th>\n",
       "      <td>2017-01-26 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1123</th>\n",
       "      <td>2017-01-27 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1156</th>\n",
       "      <td>2017-01-28 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1189</th>\n",
       "      <td>2017-01-29 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1222</th>\n",
       "      <td>2017-01-30 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7805</th>\n",
       "      <td>2017-07-23 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7841</th>\n",
       "      <td>2017-07-24 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7873</th>\n",
       "      <td>2017-07-25 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7910</th>\n",
       "      <td>2017-07-26 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7950</th>\n",
       "      <td>2017-07-27 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7990</th>\n",
       "      <td>2017-07-28 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8026</th>\n",
       "      <td>2017-07-29 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8059</th>\n",
       "      <td>2017-07-30 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8092</th>\n",
       "      <td>2017-07-31 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8125</th>\n",
       "      <td>2017-08-01 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8158</th>\n",
       "      <td>2017-08-02 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8191</th>\n",
       "      <td>2017-08-03 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8226</th>\n",
       "      <td>2017-08-04 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8261</th>\n",
       "      <td>2017-08-05 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8294</th>\n",
       "      <td>2017-08-06 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8342</th>\n",
       "      <td>2017-08-07 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8398</th>\n",
       "      <td>2017-08-08 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8434</th>\n",
       "      <td>2017-08-09 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8468</th>\n",
       "      <td>2017-08-10 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8503</th>\n",
       "      <td>2017-08-11 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8546</th>\n",
       "      <td>2017-08-12 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8584</th>\n",
       "      <td>2017-08-13 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8637</th>\n",
       "      <td>2017-08-14 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8674</th>\n",
       "      <td>2017-08-15 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8708</th>\n",
       "      <td>2017-08-16 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8741</th>\n",
       "      <td>2017-08-17 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8778</th>\n",
       "      <td>2017-08-18 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8811</th>\n",
       "      <td>2017-08-19 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8843</th>\n",
       "      <td>2017-08-20 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8880</th>\n",
       "      <td>2017-08-21 23:59</td>\n",
       "      <td>SOD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>233 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  DATE REPORTTYPE HOURLYSKYCONDITIONS HOURLYVISIBILITY  \\\n",
       "49    2017-01-01 23:59        SOD                 NaN              NaN   \n",
       "93    2017-01-02 23:59        SOD                 NaN              NaN   \n",
       "145   2017-01-03 23:59        SOD                 NaN              NaN   \n",
       "193   2017-01-04 23:59        SOD                 NaN              NaN   \n",
       "225   2017-01-05 23:59        SOD                 NaN              NaN   \n",
       "273   2017-01-06 23:59        SOD                 NaN              NaN   \n",
       "324   2017-01-07 23:59        SOD                 NaN              NaN   \n",
       "357   2017-01-08 23:59        SOD                 NaN              NaN   \n",
       "390   2017-01-09 23:59        SOD                 NaN              NaN   \n",
       "423   2017-01-10 23:59        SOD                 NaN              NaN   \n",
       "459   2017-01-11 23:59        SOD                 NaN              NaN   \n",
       "499   2017-01-12 23:59        SOD                 NaN              NaN   \n",
       "532   2017-01-13 23:59        SOD                 NaN              NaN   \n",
       "569   2017-01-14 23:59        SOD                 NaN              NaN   \n",
       "603   2017-01-15 23:59        SOD                 NaN              NaN   \n",
       "639   2017-01-16 23:59        SOD                 NaN              NaN   \n",
       "685   2017-01-17 23:59        SOD                 NaN              NaN   \n",
       "717   2017-01-18 23:59        SOD                 NaN              NaN   \n",
       "750   2017-01-19 23:59        SOD                 NaN              NaN   \n",
       "805   2017-01-20 23:59        SOD                 NaN              NaN   \n",
       "869   2017-01-21 23:59        SOD                 NaN              NaN   \n",
       "922   2017-01-22 23:59        SOD                 NaN              NaN   \n",
       "989   2017-01-23 23:59        SOD                 NaN              NaN   \n",
       "1024  2017-01-24 23:59        SOD                 NaN              NaN   \n",
       "1057  2017-01-25 23:59        SOD                 NaN              NaN   \n",
       "1091  2017-01-26 23:59        SOD                 NaN              NaN   \n",
       "1123  2017-01-27 23:59        SOD                 NaN              NaN   \n",
       "1156  2017-01-28 23:59        SOD                 NaN              NaN   \n",
       "1189  2017-01-29 23:59        SOD                 NaN              NaN   \n",
       "1222  2017-01-30 23:59        SOD                 NaN              NaN   \n",
       "...                ...        ...                 ...              ...   \n",
       "7805  2017-07-23 23:59        SOD                 NaN              NaN   \n",
       "7841  2017-07-24 23:59        SOD                 NaN              NaN   \n",
       "7873  2017-07-25 23:59        SOD                 NaN              NaN   \n",
       "7910  2017-07-26 23:59        SOD                 NaN              NaN   \n",
       "7950  2017-07-27 23:59        SOD                 NaN              NaN   \n",
       "7990  2017-07-28 23:59        SOD                 NaN              NaN   \n",
       "8026  2017-07-29 23:59        SOD                 NaN              NaN   \n",
       "8059  2017-07-30 23:59        SOD                 NaN              NaN   \n",
       "8092  2017-07-31 23:59        SOD                 NaN              NaN   \n",
       "8125  2017-08-01 23:59        SOD                 NaN              NaN   \n",
       "8158  2017-08-02 23:59        SOD                 NaN              NaN   \n",
       "8191  2017-08-03 23:59        SOD                 NaN              NaN   \n",
       "8226  2017-08-04 23:59        SOD                 NaN              NaN   \n",
       "8261  2017-08-05 23:59        SOD                 NaN              NaN   \n",
       "8294  2017-08-06 23:59        SOD                 NaN              NaN   \n",
       "8342  2017-08-07 23:59        SOD                 NaN              NaN   \n",
       "8398  2017-08-08 23:59        SOD                 NaN              NaN   \n",
       "8434  2017-08-09 23:59        SOD                 NaN              NaN   \n",
       "8468  2017-08-10 23:59        SOD                 NaN              NaN   \n",
       "8503  2017-08-11 23:59        SOD                 NaN              NaN   \n",
       "8546  2017-08-12 23:59        SOD                 NaN              NaN   \n",
       "8584  2017-08-13 23:59        SOD                 NaN              NaN   \n",
       "8637  2017-08-14 23:59        SOD                 NaN              NaN   \n",
       "8674  2017-08-15 23:59        SOD                 NaN              NaN   \n",
       "8708  2017-08-16 23:59        SOD                 NaN              NaN   \n",
       "8741  2017-08-17 23:59        SOD                 NaN              NaN   \n",
       "8778  2017-08-18 23:59        SOD                 NaN              NaN   \n",
       "8811  2017-08-19 23:59        SOD                 NaN              NaN   \n",
       "8843  2017-08-20 23:59        SOD                 NaN              NaN   \n",
       "8880  2017-08-21 23:59        SOD                 NaN              NaN   \n",
       "\n",
       "     HOURLYPRSENTWEATHERTYPE HOURLYDRYBULBTEMPF  HOURLYWETBULBTEMPF  \\\n",
       "49                       NaN                NaN                 NaN   \n",
       "93                       NaN                NaN                 NaN   \n",
       "145                      NaN                NaN                 NaN   \n",
       "193                      NaN                NaN                 NaN   \n",
       "225                      NaN                NaN                 NaN   \n",
       "273                      NaN                NaN                 NaN   \n",
       "324                      NaN                NaN                 NaN   \n",
       "357                      NaN                NaN                 NaN   \n",
       "390                      NaN                NaN                 NaN   \n",
       "423                      NaN                NaN                 NaN   \n",
       "459                      NaN                NaN                 NaN   \n",
       "499                      NaN                NaN                 NaN   \n",
       "532                      NaN                NaN                 NaN   \n",
       "569                      NaN                NaN                 NaN   \n",
       "603                      NaN                NaN                 NaN   \n",
       "639                      NaN                NaN                 NaN   \n",
       "685                      NaN                NaN                 NaN   \n",
       "717                      NaN                NaN                 NaN   \n",
       "750                      NaN                NaN                 NaN   \n",
       "805                      NaN                NaN                 NaN   \n",
       "869                      NaN                NaN                 NaN   \n",
       "922                      NaN                NaN                 NaN   \n",
       "989                      NaN                NaN                 NaN   \n",
       "1024                     NaN                NaN                 NaN   \n",
       "1057                     NaN                NaN                 NaN   \n",
       "1091                     NaN                NaN                 NaN   \n",
       "1123                     NaN                NaN                 NaN   \n",
       "1156                     NaN                NaN                 NaN   \n",
       "1189                     NaN                NaN                 NaN   \n",
       "1222                     NaN                NaN                 NaN   \n",
       "...                      ...                ...                 ...   \n",
       "7805                     NaN                NaN                 NaN   \n",
       "7841                     NaN                NaN                 NaN   \n",
       "7873                     NaN                NaN                 NaN   \n",
       "7910                     NaN                NaN                 NaN   \n",
       "7950                     NaN                NaN                 NaN   \n",
       "7990                     NaN                NaN                 NaN   \n",
       "8026                     NaN                NaN                 NaN   \n",
       "8059                     NaN                NaN                 NaN   \n",
       "8092                     NaN                NaN                 NaN   \n",
       "8125                     NaN                NaN                 NaN   \n",
       "8158                     NaN                NaN                 NaN   \n",
       "8191                     NaN                NaN                 NaN   \n",
       "8226                     NaN                NaN                 NaN   \n",
       "8261                     NaN                NaN                 NaN   \n",
       "8294                     NaN                NaN                 NaN   \n",
       "8342                     NaN                NaN                 NaN   \n",
       "8398                     NaN                NaN                 NaN   \n",
       "8434                     NaN                NaN                 NaN   \n",
       "8468                     NaN                NaN                 NaN   \n",
       "8503                     NaN                NaN                 NaN   \n",
       "8546                     NaN                NaN                 NaN   \n",
       "8584                     NaN                NaN                 NaN   \n",
       "8637                     NaN                NaN                 NaN   \n",
       "8674                     NaN                NaN                 NaN   \n",
       "8708                     NaN                NaN                 NaN   \n",
       "8741                     NaN                NaN                 NaN   \n",
       "8778                     NaN                NaN                 NaN   \n",
       "8811                     NaN                NaN                 NaN   \n",
       "8843                     NaN                NaN                 NaN   \n",
       "8880                     NaN                NaN                 NaN   \n",
       "\n",
       "     HOURLYDewPointTempF  HOURLYRelativeHumidity  HOURLYWindSpeed  \\\n",
       "49                   NaN                     NaN              NaN   \n",
       "93                   NaN                     NaN              NaN   \n",
       "145                  NaN                     NaN              NaN   \n",
       "193                  NaN                     NaN              NaN   \n",
       "225                  NaN                     NaN              NaN   \n",
       "273                  NaN                     NaN              NaN   \n",
       "324                  NaN                     NaN              NaN   \n",
       "357                  NaN                     NaN              NaN   \n",
       "390                  NaN                     NaN              NaN   \n",
       "423                  NaN                     NaN              NaN   \n",
       "459                  NaN                     NaN              NaN   \n",
       "499                  NaN                     NaN              NaN   \n",
       "532                  NaN                     NaN              NaN   \n",
       "569                  NaN                     NaN              NaN   \n",
       "603                  NaN                     NaN              NaN   \n",
       "639                  NaN                     NaN              NaN   \n",
       "685                  NaN                     NaN              NaN   \n",
       "717                  NaN                     NaN              NaN   \n",
       "750                  NaN                     NaN              NaN   \n",
       "805                  NaN                     NaN              NaN   \n",
       "869                  NaN                     NaN              NaN   \n",
       "922                  NaN                     NaN              NaN   \n",
       "989                  NaN                     NaN              NaN   \n",
       "1024                 NaN                     NaN              NaN   \n",
       "1057                 NaN                     NaN              NaN   \n",
       "1091                 NaN                     NaN              NaN   \n",
       "1123                 NaN                     NaN              NaN   \n",
       "1156                 NaN                     NaN              NaN   \n",
       "1189                 NaN                     NaN              NaN   \n",
       "1222                 NaN                     NaN              NaN   \n",
       "...                  ...                     ...              ...   \n",
       "7805                 NaN                     NaN              NaN   \n",
       "7841                 NaN                     NaN              NaN   \n",
       "7873                 NaN                     NaN              NaN   \n",
       "7910                 NaN                     NaN              NaN   \n",
       "7950                 NaN                     NaN              NaN   \n",
       "7990                 NaN                     NaN              NaN   \n",
       "8026                 NaN                     NaN              NaN   \n",
       "8059                 NaN                     NaN              NaN   \n",
       "8092                 NaN                     NaN              NaN   \n",
       "8125                 NaN                     NaN              NaN   \n",
       "8158                 NaN                     NaN              NaN   \n",
       "8191                 NaN                     NaN              NaN   \n",
       "8226                 NaN                     NaN              NaN   \n",
       "8261                 NaN                     NaN              NaN   \n",
       "8294                 NaN                     NaN              NaN   \n",
       "8342                 NaN                     NaN              NaN   \n",
       "8398                 NaN                     NaN              NaN   \n",
       "8434                 NaN                     NaN              NaN   \n",
       "8468                 NaN                     NaN              NaN   \n",
       "8503                 NaN                     NaN              NaN   \n",
       "8546                 NaN                     NaN              NaN   \n",
       "8584                 NaN                     NaN              NaN   \n",
       "8637                 NaN                     NaN              NaN   \n",
       "8674                 NaN                     NaN              NaN   \n",
       "8708                 NaN                     NaN              NaN   \n",
       "8741                 NaN                     NaN              NaN   \n",
       "8778                 NaN                     NaN              NaN   \n",
       "8811                 NaN                     NaN              NaN   \n",
       "8843                 NaN                     NaN              NaN   \n",
       "8880                 NaN                     NaN              NaN   \n",
       "\n",
       "     HOURLYWindDirection  HOURLYWindGustSpeed  HOURLYStationPressure  \\\n",
       "49                   NaN                  NaN                    NaN   \n",
       "93                   NaN                  NaN                    NaN   \n",
       "145                  NaN                  NaN                    NaN   \n",
       "193                  NaN                  NaN                    NaN   \n",
       "225                  NaN                  NaN                    NaN   \n",
       "273                  NaN                  NaN                    NaN   \n",
       "324                  NaN                  NaN                    NaN   \n",
       "357                  NaN                  NaN                    NaN   \n",
       "390                  NaN                  NaN                    NaN   \n",
       "423                  NaN                  NaN                    NaN   \n",
       "459                  NaN                  NaN                    NaN   \n",
       "499                  NaN                  NaN                    NaN   \n",
       "532                  NaN                  NaN                    NaN   \n",
       "569                  NaN                  NaN                    NaN   \n",
       "603                  NaN                  NaN                    NaN   \n",
       "639                  NaN                  NaN                    NaN   \n",
       "685                  NaN                  NaN                    NaN   \n",
       "717                  NaN                  NaN                    NaN   \n",
       "750                  NaN                  NaN                    NaN   \n",
       "805                  NaN                  NaN                    NaN   \n",
       "869                  NaN                  NaN                    NaN   \n",
       "922                  NaN                  NaN                    NaN   \n",
       "989                  NaN                  NaN                    NaN   \n",
       "1024                 NaN                  NaN                    NaN   \n",
       "1057                 NaN                  NaN                    NaN   \n",
       "1091                 NaN                  NaN                    NaN   \n",
       "1123                 NaN                  NaN                    NaN   \n",
       "1156                 NaN                  NaN                    NaN   \n",
       "1189                 NaN                  NaN                    NaN   \n",
       "1222                 NaN                  NaN                    NaN   \n",
       "...                  ...                  ...                    ...   \n",
       "7805                 NaN                  NaN                    NaN   \n",
       "7841                 NaN                  NaN                    NaN   \n",
       "7873                 NaN                  NaN                    NaN   \n",
       "7910                 NaN                  NaN                    NaN   \n",
       "7950                 NaN                  NaN                    NaN   \n",
       "7990                 NaN                  NaN                    NaN   \n",
       "8026                 NaN                  NaN                    NaN   \n",
       "8059                 NaN                  NaN                    NaN   \n",
       "8092                 NaN                  NaN                    NaN   \n",
       "8125                 NaN                  NaN                    NaN   \n",
       "8158                 NaN                  NaN                    NaN   \n",
       "8191                 NaN                  NaN                    NaN   \n",
       "8226                 NaN                  NaN                    NaN   \n",
       "8261                 NaN                  NaN                    NaN   \n",
       "8294                 NaN                  NaN                    NaN   \n",
       "8342                 NaN                  NaN                    NaN   \n",
       "8398                 NaN                  NaN                    NaN   \n",
       "8434                 NaN                  NaN                    NaN   \n",
       "8468                 NaN                  NaN                    NaN   \n",
       "8503                 NaN                  NaN                    NaN   \n",
       "8546                 NaN                  NaN                    NaN   \n",
       "8584                 NaN                  NaN                    NaN   \n",
       "8637                 NaN                  NaN                    NaN   \n",
       "8674                 NaN                  NaN                    NaN   \n",
       "8708                 NaN                  NaN                    NaN   \n",
       "8741                 NaN                  NaN                    NaN   \n",
       "8778                 NaN                  NaN                    NaN   \n",
       "8811                 NaN                  NaN                    NaN   \n",
       "8843                 NaN                  NaN                    NaN   \n",
       "8880                 NaN                  NaN                    NaN   \n",
       "\n",
       "      HOURLYPressureTendency  HOURLYPressureChange  HOURLYSeaLevelPressure  \\\n",
       "49                       NaN                   NaN                     NaN   \n",
       "93                       NaN                   NaN                     NaN   \n",
       "145                      NaN                   NaN                     NaN   \n",
       "193                      NaN                   NaN                     NaN   \n",
       "225                      NaN                   NaN                     NaN   \n",
       "273                      NaN                   NaN                     NaN   \n",
       "324                      NaN                   NaN                     NaN   \n",
       "357                      NaN                   NaN                     NaN   \n",
       "390                      NaN                   NaN                     NaN   \n",
       "423                      NaN                   NaN                     NaN   \n",
       "459                      NaN                   NaN                     NaN   \n",
       "499                      NaN                   NaN                     NaN   \n",
       "532                      NaN                   NaN                     NaN   \n",
       "569                      NaN                   NaN                     NaN   \n",
       "603                      NaN                   NaN                     NaN   \n",
       "639                      NaN                   NaN                     NaN   \n",
       "685                      NaN                   NaN                     NaN   \n",
       "717                      NaN                   NaN                     NaN   \n",
       "750                      NaN                   NaN                     NaN   \n",
       "805                      NaN                   NaN                     NaN   \n",
       "869                      NaN                   NaN                     NaN   \n",
       "922                      NaN                   NaN                     NaN   \n",
       "989                      NaN                   NaN                     NaN   \n",
       "1024                     NaN                   NaN                     NaN   \n",
       "1057                     NaN                   NaN                     NaN   \n",
       "1091                     NaN                   NaN                     NaN   \n",
       "1123                     NaN                   NaN                     NaN   \n",
       "1156                     NaN                   NaN                     NaN   \n",
       "1189                     NaN                   NaN                     NaN   \n",
       "1222                     NaN                   NaN                     NaN   \n",
       "...                      ...                   ...                     ...   \n",
       "7805                     NaN                   NaN                     NaN   \n",
       "7841                     NaN                   NaN                     NaN   \n",
       "7873                     NaN                   NaN                     NaN   \n",
       "7910                     NaN                   NaN                     NaN   \n",
       "7950                     NaN                   NaN                     NaN   \n",
       "7990                     NaN                   NaN                     NaN   \n",
       "8026                     NaN                   NaN                     NaN   \n",
       "8059                     NaN                   NaN                     NaN   \n",
       "8092                     NaN                   NaN                     NaN   \n",
       "8125                     NaN                   NaN                     NaN   \n",
       "8158                     NaN                   NaN                     NaN   \n",
       "8191                     NaN                   NaN                     NaN   \n",
       "8226                     NaN                   NaN                     NaN   \n",
       "8261                     NaN                   NaN                     NaN   \n",
       "8294                     NaN                   NaN                     NaN   \n",
       "8342                     NaN                   NaN                     NaN   \n",
       "8398                     NaN                   NaN                     NaN   \n",
       "8434                     NaN                   NaN                     NaN   \n",
       "8468                     NaN                   NaN                     NaN   \n",
       "8503                     NaN                   NaN                     NaN   \n",
       "8546                     NaN                   NaN                     NaN   \n",
       "8584                     NaN                   NaN                     NaN   \n",
       "8637                     NaN                   NaN                     NaN   \n",
       "8674                     NaN                   NaN                     NaN   \n",
       "8708                     NaN                   NaN                     NaN   \n",
       "8741                     NaN                   NaN                     NaN   \n",
       "8778                     NaN                   NaN                     NaN   \n",
       "8811                     NaN                   NaN                     NaN   \n",
       "8843                     NaN                   NaN                     NaN   \n",
       "8880                     NaN                   NaN                     NaN   \n",
       "\n",
       "     HOURLYPrecip  HOURLYAltimeterSetting  \n",
       "49            NaN                     NaN  \n",
       "93            NaN                     NaN  \n",
       "145           NaN                     NaN  \n",
       "193           NaN                     NaN  \n",
       "225           NaN                     NaN  \n",
       "273           NaN                     NaN  \n",
       "324           NaN                     NaN  \n",
       "357           NaN                     NaN  \n",
       "390           NaN                     NaN  \n",
       "423           NaN                     NaN  \n",
       "459           NaN                     NaN  \n",
       "499           NaN                     NaN  \n",
       "532           NaN                     NaN  \n",
       "569           NaN                     NaN  \n",
       "603           NaN                     NaN  \n",
       "639           NaN                     NaN  \n",
       "685           NaN                     NaN  \n",
       "717           NaN                     NaN  \n",
       "750           NaN                     NaN  \n",
       "805           NaN                     NaN  \n",
       "869           NaN                     NaN  \n",
       "922           NaN                     NaN  \n",
       "989           NaN                     NaN  \n",
       "1024          NaN                     NaN  \n",
       "1057          NaN                     NaN  \n",
       "1091          NaN                     NaN  \n",
       "1123          NaN                     NaN  \n",
       "1156          NaN                     NaN  \n",
       "1189          NaN                     NaN  \n",
       "1222          NaN                     NaN  \n",
       "...           ...                     ...  \n",
       "7805          NaN                     NaN  \n",
       "7841          NaN                     NaN  \n",
       "7873          NaN                     NaN  \n",
       "7910          NaN                     NaN  \n",
       "7950          NaN                     NaN  \n",
       "7990          NaN                     NaN  \n",
       "8026          NaN                     NaN  \n",
       "8059          NaN                     NaN  \n",
       "8092          NaN                     NaN  \n",
       "8125          NaN                     NaN  \n",
       "8158          NaN                     NaN  \n",
       "8191          NaN                     NaN  \n",
       "8226          NaN                     NaN  \n",
       "8261          NaN                     NaN  \n",
       "8294          NaN                     NaN  \n",
       "8342          NaN                     NaN  \n",
       "8398          NaN                     NaN  \n",
       "8434          NaN                     NaN  \n",
       "8468          NaN                     NaN  \n",
       "8503          NaN                     NaN  \n",
       "8546          NaN                     NaN  \n",
       "8584          NaN                     NaN  \n",
       "8637          NaN                     NaN  \n",
       "8674          NaN                     NaN  \n",
       "8708          NaN                     NaN  \n",
       "8741          NaN                     NaN  \n",
       "8778          NaN                     NaN  \n",
       "8811          NaN                     NaN  \n",
       "8843          NaN                     NaN  \n",
       "8880          NaN                     NaN  \n",
       "\n",
       "[233 rows x 18 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gsoData[gsoData.REPORTTYPE == 'SOD']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dropping **S**tart **O**f **D**ay"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gsoDataHourly = gsoData[gsoData.REPORTTYPE != 'SOD']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['FM-15', 'FM-16', 'FM-12', 'SY-MT'], dtype=object)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gsoDataHourly.REPORTTYPE.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gsoDataHourly.set_index(gsoDataHourly['DATE'].apply(pd.to_datetime),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gsoDataHourly = gsoDataHourly.drop('DATE',axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 8677 entries, 2017-01-01 00:54:00 to 2017-08-22 23:54:00\n",
      "Data columns (total 17 columns):\n",
      "REPORTTYPE                 8677 non-null object\n",
      "HOURLYSKYCONDITIONS        7937 non-null object\n",
      "HOURLYVISIBILITY           6827 non-null object\n",
      "HOURLYPRSENTWEATHERTYPE    1598 non-null object\n",
      "HOURLYDRYBULBTEMPF         8677 non-null object\n",
      "HOURLYWETBULBTEMPF         8673 non-null float64\n",
      "HOURLYDewPointTempF        8677 non-null object\n",
      "HOURLYRelativeHumidity     8677 non-null float64\n",
      "HOURLYWindSpeed            8677 non-null float64\n",
      "HOURLYWindDirection        8621 non-null object\n",
      "HOURLYWindGustSpeed        689 non-null float64\n",
      "HOURLYStationPressure      8673 non-null float64\n",
      "HOURLYPressureTendency     3555 non-null float64\n",
      "HOURLYPressureChange       1830 non-null float64\n",
      "HOURLYSeaLevelPressure     7460 non-null float64\n",
      "HOURLYPrecip               6119 non-null object\n",
      "HOURLYAltimeterSetting     6832 non-null float64\n",
      "dtypes: float64(9), object(8)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "gsoDataHourly.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ehhh... just for the heck of it..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OdTi+WjPhq919cwFr2zJ2UtpRpbdfB26oM3cbad5w1Obws5ax8edWuEXrCb3C\n5vEGfjKP116fMeNZRwvLrc4Kgx/hiPAVBEEQBGFksgs90A0KIlqMCInOQw3RyoWiDTf2yyQnto7h\njKIczyCeDlhxKZpnCyQFuG1zmljPar/2SaXoarajCJ10Ea3z61fcAkzyHe09tuNApzi+9nym5f9S\nxPEVBEEQBEEYJvhV4Nlr0h/aouFeRugD3ZL7gG2vN2/7axYCL9xRezkufF/4LTDn+7ULFnVvA244\nybz2hwXXAovv7d82+otXjoVImmil1XN5qHNpVLiNCsmJTXk079wcT1Nnl4e68txZp3Ivd3xJbnAe\nvFJzFMIcJEOdaRt5qLMV/dWewXd8X7wTaLu1vmUX3wu0r2rcviudwJM/A7rb85cLAmDBdeZ8AcAb\nzwCPX2rOsxeGigc+0EXujcAn3z0ufHlxKxb6vosgwlcQBEEQhOHH01cA950PPPeb7GV0MDIf6m77\nDHDlMc3b/o2nAHd9vvZy/GH6rnOAx38MrHkuf72rTzDjjPbnGMo7TcGy20/r+zYagdfjCk7Ovu8y\nr3vPTI6zGzm+NYTv9tXxNA1Tdqo6gzmpPMeXdEbQEOm04ZMoPE+Ybidr6BzH8bVOb9hmr5utNwjf\nz9/9E/CHL9W37O2nAVcd27h9v3A78NC3gYXX5y+3+G7g3n8H5l5k3t9xJjDne8C6F0xHCWDO+c4N\n8ToBKWimdY2qzlLcShAEQRAEYXhgXbBU19C6TKwAz0jACo+eGo5Rf+jZbl5riRI/w62jwiaNbSvM\na/sbvWuXs+8hcl2p8E1r06S/Ma/TjkkRItYhpmHJaa4xOc90/Fwa2gq4TioPN3bEjY6vXZpL7eyb\nbSMrZznh+BIBRo/BKw++8I32XWdFaeqq9pfOLebVfscy97k1XC78nnesN69+hZxbn10/4rSDCV9+\nb0qosyAIgiAIwgiAhjrzoi7DnYF8SKXVd9PIClOt5SLWCq+th6HysO4I3xTnN3LggmSosxUtNDIh\nTYg6ocEkPzdgQjTX8aUOHxVFNYQvD4nVQTzWsF8h0+Xs9YBYeFW54zuIeeK19t2MMYbt71GxJX85\ne774sFO0srYOsit518rxleJWgiAIgiAMO4IgDn3blahH+Gh/YB6sA3/grsFACnkrUKpEqHRtJcOp\nZJzb3gpbr1K/+2bhFYwHAnsenHDfciww7GulMx5WJisfV/vxeQq8pOOrdZwHSoVilYlbPs5u1jzN\n8n2jatBYBHX+AAAgAElEQVRBvN1KF9n3trjdtM06iHOT/QrJU6Yuf0qos71vPZbjq8O81Co7xv5e\nU36+o89Thmfaviben1eJj70ZYwz7dQpfe74KbLnAS0YAWJy86xqhzjx3exdBhK8gCIIgDGfuOge4\ncPJgt2LgeelO85r6AEkcX38ABNIdZw7cNRjIEN9qt8nX/d+9gVf/bM7lj6YBF04x84MMR6mW8N3r\nAPM6ZoJ5vXAy8NvP9q5tWQ//zWLJfeY8rHveFUSO4xsKul8cCfzf4WE7sxxfL3Z353wv6fj+5bvA\nDw8Aena4QtFjY+BSt4469LTAFGDEXTyTCPLw9foPAb+abaaf+gXww6mmqFMix9ePv3N+NZ6mHT9p\noc72e5jm+D7+Y3Nuu9uBjo1m+ulfol/ceArw/ZShmnhl7e9NAC47BJj/a/PZrf9ojr3a0xzhmyVo\nOZFAZuM6O50kcI9HByYvGJAc3wxE+AqCIAjCcOal3w12CwaH3ULxZccHpVA3K0ucNZIlA1hZeCBD\nQwMPWP2smV76UDJ318t4sK51nmd+wrweekr82eJ7et82S15xqUbx6gPmdc1zzC0jBaasWNm+CujY\n4LZTByxkOXA7CLjwffZq81re4Z537pbW6/h2biLziCNrX9csBLa+ZqafDysed29Lr+pcJI6vDcXl\n90bkIjLHV/uuuxsEQNstYRs3m3MHmCJQ/WHFo+mfZ1U6Xve8eV0+x7xWOprze2E7AHgIM8cKU8XS\nBgLPdWh5bnX8JlnJO237wNBJGxgARPgKgiAIgjD8sA+EeYWUAhbqPBLGnR1Ix5cXYOLnj7qPjqCo\n0Ua7Hb/cdxfeeXAfgHNi26kKSZEfhTqn5fhmCF8a6mzfmx24+wt85viyoYCc4lbU8WU5vnyoI1og\niWOd40KJhZSnhDpHwpfn+LLtRpWog5QcX3KPOdNNIOv3gLe32t2kUOc6h5Gi9xuFX3Me6kzXr1f4\n7kKOb6n2IoIgCIIgDHm0rl2hdSRRCB9h8oSv9rMdnuFKs0WeM+yN595T3BnKGo+1ljiP8j3LfRfy\nzv4G4LpGQkSxUFMyNFCu8PXzizolilvp9PWcc+4DKkifx6s6O+c5xfGlOEWymLsNkGGYSKizz/ad\nGMc34zwkKhPDXa/RZAnfRKdOuTmCkDrfedj5acI3K9qBnjMeDZCb47vrCF9xfAVBEAShkbw+D5j7\nw4HfbzPcicFGa+CBbwIbFpn3GxcDD3zDfG4rB9uwyV8fB9zGxnRNOL5NFo2VzuZsd+d64NbPAKvm\nEwHTwE4OrwJ8d08TXssflje/aqbXv5h8eKY5pVxEVLuBu/8V6AhDbDe9Avzpv8LcQ5rvWaNydBb8\nuj56CTDn+33bVl1YUaHcIbRo5wovcEZDihM5lz4TLVmOL3NI/Zxw5kSOb57jG8Tt4DjXNSWsNnJ8\ny3HYM3d8s8bxTYR8sxx8G269/gXzurYNeOh/6hPCj/0YWPFY/jI05DsvPN/rzhgqrZ/YMa5rVpS2\noc4F99h9D5kdGvR/AM9RFscXgAhfQRAEQWgs150IzP3BwO93JLiZnI6NwNO/AG4Kc0JvPAV4+goj\nBO3Dn32gX7MgmWvLh/totrOx8IbmbHfNc8Ar9wFPXBYfTyOGBLIsf9i83vfVpMM3ag8zPX5auitm\n4YV0XroL+OtNpkgTANx0KvDMr0wOpzOmKxNM9cLHKH3kQlMkqVlQIfLE5fHnTo4vE76048WpuAtz\nnseFBdHGTUlxfMlydD3u+PJCW7S9QZbwJaI4zaWmOfI1Hd+MHN/EOL421NlPFugCGdbJjm+7+5vN\n6zUnAE/+tL7IgIe/D9zw0fxlOjYmj4e21+JXzH4bzajdw33XcnzJ/cY7lfKKW9mCceMmp1+7aFmp\n6iwIgiAIwnBlJApf+3DGRS7NPazlVgxkqDMfy7RR2Ifband8PI0UvjSfMlH0JpxXKKYIX+pEVt1p\n68jbtttzU2iBO7RNTqh6HtWcsOFmQEOdefh3Vo5vUCUCMEieW7vNKQeTeSzUmYtb7hLnjuObVQSJ\nzPO6k26qUxwuxV2kOb6FommzU9UZSWHnkxBfHpJtzycN4x07MW6DndcIeJh62jTQfDHYG+HLQ8Mz\ni1sFwOTp8XJ5Bax2UcdXcnwFQRAEYSQwkEWPBgr7wEfHOwXgFFoKgvwwyIEsbtWsXFMqGoImCF8n\nr5e5RFGnQzVf+PLQY5uDHRU1Ik61T4RvtY/CN6uwVtOgxYao8PWyha9fcR3fhPAlrih3fO014QIm\nkeNL2uKM8ctzfLkoJ+P38vOX6fjaIXZIQStVMHm+CceXV3WmRb5YO+n2o3udhJbTfWdR73ePj+Ob\naK9978f3cDOomeNLOlr4Nc8bx5fmbudef8nxFQRBEARhuDLUHl66twEbl/RvGzbX0Io8GwbphJD6\nOcfOKhE3XfimhI22vwHsWNu/7VKR7xMB2Qx4xVgaEpvIg8xyfL3Y8bXD+vgp16thjm+DhG8QAK/8\nyYxfyyl3hBOKVWMO4rxUv5I8D9G1YwJW+8CW1+J50f1sBV/42r2thuNL7um0qs52vFgnL5mEOle7\ngWpX8njtNtIcXxrqrJTZR5bwjcbxDdsd8OrWASJx27Ul+1rW+n3LOgYA6NwCrHwi3F9GfiwX/0GD\nhK/WJpXA5v/X62BnOb6Jqs4Z1boDz+1USFTd3jUdXxG+giAIgjASGGqhztd9CLjiyP5tI0sUBUxQ\n5AkfLkQazdq/xtNjxifnX/524Ccz+rePyIFrkuNL4Y4vrcqbKG6VIT4DLxZHO9fFn9nt06rOfRW+\nzXB81/4VuPUfgd+elZxHz/uEaeRzzwg2247Hf+KuExW3SnF81ywM3xAhGgnG8PWGj+Y7voFPhvZK\nKXxlqy5vfNmdF4U698QFzDhZOb6l0eHxVsz5KJSSAiy3uBULyR4b5qW+NpdcS+J40vWz2EQ62WwH\nGWDu37v/Bbj+w0DX1uT9HS/obk/7wF4H5O+zHtb+1dQmePRH4T6JMM0jEr6KOfk5udu0Wrf2swUy\n3X49bRlBiPAVBEEQhJHAUHt4sQ/a/RmWhIb4UqjTxYv/cLggazSdm+PpNOHbCOzxFUrudMO2Hwqm\n0pikOKs31DlrHF9b9TetyFPgDa0c33IomNKEYMsY81osAbvtTfZNxKXWwLq2eB49Zwnh6wGl1ni9\ngAlfXu042mZKcSsrRGk1ZiumreNr22jn0f1lnT8dpOeT2nYHVQDKnBPnOqaN+Ry2m0do6ADY+1Az\nTe/vRM5tDeGbNdaxDuLibZWO5P094cB4OWd/PjBukpne4y35+87D/j7YyvS8bkEWtOq24/iGgtZ2\nLPFw7Wg9nuOdJ3zF8RUEQRAEYTjR7KF6+kpa+G/d6xKXiEIFGc954+SNZdkIqKBo1pBSND/WXmcb\nStwIrIgslJLizAl1rjPH168mOy3oa+T+eg3K8e3HPeZsMxRMaW46LT7lCDc/Xp6LSJ7jywWfnyaK\nUzqKHMc3pbhVKWVIIStai2EHCd93VtEtZyzYGjm+QOj4tiT3HW3ftrs7bgdviz1HfjXeRyIntcZ3\nl/7+cVfciv9qT9LBjiqMc2GYl0LRC+x3xF6jvPGTnf3bHO+U4Z8CP+5QyipaRvPzgeTx8WuwiyDC\nVxAEQRBGAkO1177ax3FaAThDoDif+64zlOX4at38qs5UBKSJlkZgRYAqxGKpkcKXFhHLKm7FH6Tp\nerSNdlnu3EWvROhwN6s3UMHcV/HMsW1JO7dRsaFCinjKcE+psEoLdQ5I5wAd7zexb5IHyx3fwIvd\n6LQcX5qPS4+FCu2s4maJsFo2nBEQhzpnDqUUbjtyfNk5ou+dQmFsvOpaaQp0viPC/Vj8ez0p97cV\n3SnjEDci99V+L+w5i0LZ++j4Rp0d9rqyYaqcUGfq+Obk+A7V/x1NQISvIAiCIAwndqwDvrsnsOpZ\n9/OhFupsaX+j7+vSgkgUR1CwHF8uHJxQ5yY84FERkOec1Nr3c78x1/WvN5n3930VuPHjZtonLm+U\na9pI4WudTpUUdfaYUh1fOo4vKxQUMMfXCiAamh54fR/Hl4qBvMJGAPDao+bcdm6psU3bwRCe21s/\nA9z5T2aaCkVHPDG3tmVsPM+vxKHCaaHOUcEnIrLS7iEdZLi64Xp2XlpVZ+t28vFeaQgzveaaCd8U\nx/c3z66PPnp+9Xa0V7TjKK7f3hXdK+u3h22y14vnnlKRTCMForGRy8n2p+E4vuQ8dG2Jz4FXTrkG\nJN/c2V5KZ8TVJwD3fS2/HRybx23D0evN8bXzH724l6HOvrscADPcFBe+Gdd8hCPCVxAEQRCaQX9y\nW/NY8Zh5nX+l+/lQE74t48xr99a+byNgro/FCZdljm/W+KHO9hoIHU4mT/jWKs5zz5fN693nmtdn\nrwaWzzHTUahzsTk5vtF50UlhoIko4feYI3YzHF9+7ajTGXh9vya0LbWiCp683LzSQmSp27SdCmGb\nX7kPeOlOM02LTnFXl877mw/E87xytuOrfTfUmS5HmXGS+YwOIRTt27p/oahKjONL3E5eyCmtaFVi\nmoX7hte0QkZD7apqbOlyC1Zt7yxH623rKsfbAkLHn4ouOjRZXqhzDXGWFdnRtSVOR/C6k44vvb8p\nXKADwOr5wLO/zm8Hx163CW9129ab0O20a2KPKauoGHV8S6NSjk8cX0EQBEEQGkWzhC8f59My1ITv\n7mEBoL46ekD8sMZzLp3wUj/7wR1IPug2Gp4Tmb1gvRtMfhSFOqv4GAoNfISjwyUlQkFtyGWK8KXC\ngOf70jY769CxRlMqRdfdZrLvWo6vXbbWOcsNNyY5l9wto0P30Hug2s2ELz23NNSZChbmxo4Z7wrf\nSOiEucaOG5zj+NJQ4LSw67TpNJcaQAVxXrsG4KGYkl/s2VbG7eHHypaFT+6bPKGWhuN8sns4z/GN\nIhpyHN9+kVIt2m4/D5+JXbp+4JEcXz6cEe2gCdcrtqYcX4bjP8IR4SsIgiAITaFJwjd6lGTbb8ZQ\nPf3BOpL9yvHNyGd1XEPu+DJnq9lVnestEtOfAjJOPnP4oNtQxzen8rDj+KbkWlt42HN0rlPceno8\nfRUXvXF8o6FhaoSHR9vMKTCV1jmQJjaAMKeUnlvtrpcV6sxFXFqoc7ElFkElm+PLKitr4gzydICs\nDqGsMGQg1fENoIzw9VNCsAEoEMHL5sVtIY6v/R1LVCHuhePLc5aL5LcoK5Q/tbhVA34vNAnxt+2h\nr1nkCXl6PyQ6NJLXC8XWlOOj33MpbiUIgiAIuzbtq4Dnb+v7+s2qlGkdtM1L3c+HmuNLXZa+Ejm+\nacI3I8c3Lxy3KY4vq4jrV4GnflHbsdIaeOzHyVxtTuDHQ+TQoYCs8O3ZATxzVfyAveR+YP1LvTuG\ngIqSLEcszfGl1YbZmL7RtWPCt2Mj3FDnGtfk5bvjvGdn3xmOrw6LNT17tRm31X4G1B77mDq3WfM2\nvJh0SLMqJFe7XKHj3CusqjPNBXYiGMJtRqGtVvi2xh0HqTm+4TYLvQ11ZvezXa7QEl23iqbCt4Aq\nc3ynbH46RdjZ8aCZoOQ5vtG9UXXbkibOuraa66x5B1eG47t6fkqnhR1nuMxcVpa7XYtVzwLLH0m2\niwv/9tfjfXM6twBzfwiUO3KOJy/UWbNzZoefGpVS3EpyfAVBEARBsFx3IvD7L9bOzcyiaaHO4b9u\npdhDzhATvrad/IGrN0Q5l4WkW+bk+GaEBdpls+Y1Au6Qzf818OdvAs/8ii3HHtzbXwce/j7w28+a\n92+eZV4P+Zi7HA3PpC6UPb9/+k/gT/8R537f9mngV7N7dwx0OBkufCNRklLcynEDWY5vVn72zvXk\n2nnJ88K540zg7n9NaXOO8F3XZoqD2fXsNaolfHklYordxpM/zRaNPEea5/gmBAwpAJbp+IZOcZE5\nvoVSvF6U48urOhPBnNhmxm8HF0R2Xml0tG8a6gwAPopOx8f4Ha9AR6HO3PENz4MVozogzjfrCOHH\nw/nDP5vrvP7F5LA+9NjsOZj3f+zakc4IrwJsWequlxf6zrnmeODGk8303eeadq1rgxPiXWXVmTnz\nrwTm/gB4+Q/seHhoPbnmPgsxz3J808bxtd8HyfEVBEEQhF2cHWt6v07d+Z79gOa9Zj6ADwHy3LN6\ncaoZZ4msGo4vfd/XTow8uONb7TTTXayoV6LoVtgue5/tua95nfg2tn3ffXiO9hcKyq6wUnF/Qsrp\nGLu8UJidV+1Oca3p/Ufm+R4SDt2Y8ea1UIyPvTc5vvw+4rm09HMb1tm5KT4Ou+/cfeTl+GYIRR5i\nmxC3Xjwvr6pz1pBI1oXnxa3qcXyd4YzoNrkzmJHvS8V66zigYu5tN9S5YEKdMzpFkjm+NkeVCF/b\nbh5OzytYczo2hOvRThnlnme/6o61nRWm7pdTzntOR0ge9r7zytnXNe2+t9/lShdbll2fwDPXwy7r\njCOd8juZFuoc+GY9VRTHVxAEQRB2efoi3Bxh0CTHlw9tEU0PVeHbjw6AyN1kw+zwB+KscOaBGMeX\nC4VCisNm2+K85yLS5pCmCPdINJAxV6MQ4oyc797guGw8Vzc8Pq8n+YCcdf+lFcKy14GHpXInqp42\n8n07xa10sgBc3Tm+OUInSxzyUNMsxzThslbd70iWmI4KWLHiVsWWWOikun+2uJUNdebj+GaEumYN\nZ9Q6LjrP1PENoFDVyfOq/QzHl4du6yB2doOq+z3J+q2jxxHuJbtDkLjLzjpwIxyoSLXr9cbxpURC\nlJzntOJmWcejVLbja9tlhW+123XPHdEf3iulLMe3mOxUHOGI8BUEQRB2XQIf2LK8xoNNHQ89lc7Q\n5WKiCzChnY0Me7bChD+8Dlnh28uHKq2Bnu1mmub4OuKMPRDX6/g2Pcc3K6eSLQekiEgSuk3xSYEp\nPjYnkMyh7QuOy0bcU+qI1XJ86bxKp+siA0Clw91utL86hS93tLUfC1nu+PLOgGic4lo5vkSkcFLD\ngRX7PK3wVYbw4VWQnRBVKqat45tS3KpnO+ICVuw+CDsqegIbzpoTkp31HaG5x63jjLsIN8dXQ5lQ\nZ4ZOfNdoVWfPFWvU8eWh4rwt29ek/J6SzhRVSIo/Wgguq7gVdPK89zWKIup4IfcDvzfKO8zrzg3p\nHS7OuMRl9rlGpRB2dlQ7oe3x8f8J1uXPC3UWx1cQBEEQdhEevhD4v8OBJfdlL1OPaP3BPia3kj80\nrnwCuHQ68MLt/W+rJRJ9uvmirl8Ql7I3PPUL4OL9ge2r3YfZvBBIP+c8ND3Hl4W324dQvwqsmu/O\nc9qV4Z4GnisGnVxD4ugkhgnqj+NL3VM2LBHtwOCFyrKGRNn4MhHyHmubdq+XU4k4h8S+faAlrGYc\nhuCazQdJx3fDi+a1VidBdJ7T5qXcR6VRKcPJMGGVNq4q4BanC3z3XPJQfqe4FRnup7zDHHuhGIc0\nWx75X0AHePy1HfHytJ2Zbn2O4xt2XiQc3xThW9yxCkBGVWdanEn78T1AOwqA5Pf81k8Blx0CzL8q\n/gww4zPbe4r/Vqx62u3wSAt1TqtAH/jAoxfbnbsHt21l4nhdwvtsXRs5bnbOVzxmilld+jfAnAvC\nZYjjmxXREF7/O17YFrV5Z8Ws59v7qMDuleKo5PfHCt9CEVLVuckopc5TSi1SSr2klLpVKTVaKTVN\nKfWMUmqpUup2pVRr7S0JgiAIQj/Y+pp5tbliqdQpKJY+yMSMBrYsM5OvP9mX1qWTV710KNHXUOfF\n95jX9lXxw2yBuRI0pDMIss8JwMJGm53jG8R5pDoA1ixMXw5IuiyRq+sl3VHqnkbH16RQZ34us8J6\naZvtsoAZWmfsJCLk/eQ1qTfUOe/+DjygZayZpueLCl97Tuxytc5RXsdI2rEWWsh4xQWz/bR8TNsu\nrYGxE837nnbzOmZCDceXhQZbATPpb8xreYdx7cI8Xx523AWb/9sVO+R50SJcBEfXdTTs+auCDqWl\n4KHG0Fp8eCF67bxKLHwTji+L7Fj6oJl+OfyN2OsA81ooIbMQXutu8bGOn5a8jjpIHw6K5+5T2t/I\nP97xB5C2kHBp/p3vDsWrHT2Adtj4Gd+RsFOsI4jH8fVDORf4YUQIH/O5lDKOr/2tEse3uSil3gLg\nKwCO0FrPBFAE8I8AfgjgMq31QQC2AfingW6bIAiCsIthRUrekDt9zfGl+Z6NLKrEHZno8xEifKmQ\no5WBsxxfWiQIYEJqAFxxfs1pmGPWckANx5e5rqmObzi/EaHOaZVg7b4dBy6lQA7fxp77ugKdF7DS\n7Jp4LC+VkpXnCCAq+FQoAeWdbBvsGtSbq+lUVs65XoFn9ksLdamie33sOjzHd499jCCyxzZ6D9ah\ngXThq4pmn1bA7P7meJlCKRa+TIR26jAkttIZO5tp7Yz2zZxhTYVvuAgKsdiy4/hmoKCRiIrQPjBq\nN/Pe646d1oAJX54/HW00vL50SLMoh9xHQtTTytRpjm+LDRvucudF+2b3Xt4Y2vT+83rgDlPFO+VI\ncTOAOdNU+JIhzMJ1OvWoeLa9FlGxs1b3GAotyf9BgW/OY6GQbNcIZrBCnUsAxiilSgDGAlgH4P0A\n7gzn3wDg5EFqmyAIgrCrYB2Q3CF3+ip8NQlPbKTwJVVieTGWoURfhS8VctHDLHto9NiwIDR0ll/L\nvPzfRpAQvvbRijwA8+WApAijQpGHXNJzyXN8s7bXGzIdXy9bkAFMYIRtLLbAyUWm4i/aDsnxdK4l\nPyc5Tn7gm4f20hgz7mm0jZRQ53oL1TliPWccZptfXCjG56RQSndS+XBGquAImKg6c1pupm1TFJba\nEnc+lGLhY0KdzXsuQjthC19VSFVr7kxnXH/6G1NyhZYfCmwjfGvJCSp8Q3HWGgrfag9xfL387zlt\nFxD/PtCoD/p9sctE15UP12XHuQ0dX/69S5sG3GJZHNqR45XdzhQuoG0+Pf9O64A5vnZYoji0vhvx\n9QhQgK8VtK0cTkOdbYdJaqhzMVk/YYQz4MJXa70GwI8BvAEjeLcDWAigXWttz/xqAG8Z6LYJgiAM\nSTo3m7Ese3YMdkuGLtUe4M6zgW2v9249K1JsXuPl7wBuPMVdpleOb0a+ZyNDbB0HiTk1Kx4Hbvw4\n0LGxcfvrKzy37Y4zgYU31F5v7V/Na+ADT18Rb0NnPBDz4lb8AS9vjN/+8OiPgCX3w32oZ24jdXDs\n+Zh7MbD43hQHkwhF5wGcPKzTh/q0qs7VOvNlOUGW6OIOXEqeLW+/Fb40x9e5/0Mn3+bn8gJGS+4H\nbjrVuLi5jm8oPis7gc2vuNvg4d95nTALbwBuP50VEUsZZokLoULRFbCFUrKDJqCiy7isHRWNaqDI\nei3J9RLFrbS5l4ot0b3/5Oux2L/vpY3o8I2o5SK0C7FTi6wiSE5FaVanIFyubV18b2ko+GGnoa4R\n6qxoIS3rilPhm+f4OpEdKZEu9jzRzi+eSx2w68pFMZDu+OYVDizkyCevG1j5eLi97rjdL92V/P15\n9tpw+/b8kEJkaZ0RxZbonPgooEcbgRtAIUABQRBeryjUuYpAFbBkY1fG96cQjwe9izAYoc7jAXwM\nwDQA+wAYB+DElEVTnzSUUl9QSi1QSi3YtGlT8xoqCIIwVHj8UuDlu4G/3jjYLRm6LH8YeOl3wANf\n79160QNR+GDR/rrZlrtQL7bHH6z7WOApj8jlYO5I4AGP/hBYPscUFxps7CHrwIxr+fLdwB+/Uns9\nO0xHUI0FLh0WBkgKoszCV4gFEtBYZ+OR/zUFzZxrTofSCYC99iezrPC9CLj9tHQH07bRZ6HcNFQ3\ncup4bq8y174vcLFGP08TCpa0vNdiq3tNUnN8vdhB9JnwffBbwLKHTPGnvMJkVnxyHMeXtTNN+P7x\nK8DiPwKdG9k1YMc6bpJ53fdv404tVXTHmo6Eog3FDVhHVYClm7pQDshwNcUawjdyfJXjML+wPhai\nq9rL2Nhljo2L0C7NnGHbFuc7Q/fHv1tmuy9viq8TDW8OoFBCfJ2u8z7g7L+gEP/+2WvudQOtNj+7\nC9GF8tlwRo4QDZLTtBK6c84y8pQTjjIZE9nun66Xtj3EzY3gnWs2f9mvxG21HSOUtpvc47H3rc+G\nA6PRAeG0j0JUZMwIXwVtj5VEGlV84NUtKXn0Nse32Oq2f4QzGKHOxwNYobXepLWuArgLwNEA9gpD\nnwFgXwBr01bWWl+ltT5Ca33E5MmTB6bFgiAIg4l9WGlkuOxIg1bS7Q2RiPSzxWnNvEDm8tLPrUhJ\ne0DvK9FDXDXpSljnpJFCu7/ooHfDgti2B+xBN7MKbU5hILtu2oNto+AP5DSsNu1hPXqf5fh6ySrV\ntLhVIleYLJuXe5hH2kO2/TyrUwFAalXnQovrWKXm+PpxzqjH8lnte68nW4jY/dUalzehUHK+F47I\n18l7xe5/0kFEiJKiSoWSWS8gjpszjq8JZw6gTE4mFV2JUOe0HF8b6mzW69FxDVgPhUiIcse3QoVw\ndH8wx7dKqmJn5PjS3GET6mzPvcILwYHRvOv8D6JaHBO9V3Y7QCwIyx3mWIqtLK+WnYdKhgNrp6nj\nm5YTC7j3cGB/M5X5i1z3lI4xHQD7vDP5edp7XhQrcqTJbzT9Hkx7n7s+D3UOqizU2Q5L1BJtw0cR\nnrLh5gVoKJPjC006lSoIUEBZp4Rm27D70ih3CLMRzmAI3zcAvFspNVYppQAcB+BlAI8AODVc5rMA\n7h6EtgmCIAw9bL7OLpSH02vSHlzqgT6cZxa46qvwJYKs1vihvcERFMxxi45/KAhfEmaaVzwsCy5u\ns4QvF4NpuWy82Esj4defFqLiD9KUNBfUvmZVVnZCvnU839LX+ywzv5QVt6qnqnOU40tcOUdEhqIr\nEr5sDF77Xa52Jd1HSuCnC31euInPyyIh8ruT8+n2VcGEvHLxFKU4KPfahefEFobSkYtXK9SZ7i8O\nrZAoQ10AACAASURBVKZDCvkoIIgcWPce8FGIhxtS1PH1gJYwuoIKzIAJ38CHpwuOkxygAF/FOb50\nOKMABfiF2GU2JmZ4r7aSKtyFksmtpUNR8VBnKshTQ51J9EvWkGaJTpgwUqBIKnKndZzywmRZQ3cB\nydQLR+wSkW6nbZg3P7bI8a0v1NkL7wGtTaizplEE4T59FFBGivDVOqwGPrpvv8/DlMHI8X0GpojV\ncwBeDNtwFYD/AnC+UmoZgIkArhnotgnCkKV7G7DmucFuhTBY2H/KnZsHtx39ZcXjzXOto1za8GGh\na2ucKwqY8VTpA5aFPtjkFrjKQac8kJk38fZrOlMpvP5Ues4yDe/jIap5IZ2DRRDEQ7fUhRXM7Lzm\nFf/JK8BEHbhG5fjyPEg6nZWDTd1MwAxD47ST5PHywjbaFU9me1b4ks4OWhisluvfswN4/CeswwRI\nFLfK61RIEyPWwcyq6hwVS7LCl4U62+/yzg3J6/z6U8DWFfH7tFxL7rrzeVlUu9120t+L7vb4vGxb\nyYSorZxLfoPs+Kh+BU4HkNYmPxYF1ynmlYipIKPFrYpxkSIqZgIdO7AeG84oQCH6LHKDretuKyvX\ncHyNyIrPtYYy4dqwwpe4wboArxC70QWa42uFtl8x165ltBsNwocz2r7abUs0ze59PqQZj1qIHOLw\nfo4qZDPhyzvU0nLY+XKAewy0E4MKefo9th0AfNtRZ1Ho+NpOb5u7z0KdPdL5EEDFwpd0lmsolJEc\nIVZrD11egB1+qXcROcOcQanqrLX+jtb6YK31TK31GVrrstb6Na3132qt36a1/get9a7T/SAItbjx\nFODXfzfYrRAGCzvu47aVg9qMfrF6AXDDR0xeZDPgju/1HwGuOtZMd24GrjkBuOsLyfWoY8CHarHU\nWwkWSBFBNvyzD8L3ug8Ct3wyZX+kzYkKsvaBv/e7axo6ADa9Unu5aPkUJ5M/hNIOhcBzrxF1X+xD\nd6OjJrLG++RVfLmIeO2R+L0dQzqaT0LYuWPFC4UB8THT/beQB+panR8X7w/MucAU23I6Dvo4jm8k\nfFvg5mTr5DYBku/JKveO2ctMb1uRdHyv+yBw48nx+7QOpVBgRvt25uV8MR78lns8c74fTz/xk/h4\nuttjIapoVWeSklJg88L2el4VgS4YV9Yjjm/go1xNq+LbGkc02FBnPyl8fRSgw/37KY6vDYPe0GHv\nzbBTzubTU+HDOyIC34hn4ur6OhbTGgpV7YZBBypum6I5vi1xCHQ0BFOVOb70frPjoNu2WPY9ItwZ\nDXXOqAHgdMKE4pNX1k77fUh02GRMA+yckc4pmlNMj62FCV/aSWTbTyM/bC5wsTU6tkAXog6HAAoa\nCqX2FW57vJ5Mx3dnVxmbOjws2lBG0NeieMOQwRrOSBCE3hBVOR1CLo4wcFjh28g80YFmR1i2YfPS\n5myfi6WNi8L3QezcrHs+uZ59QODFUdyN19h3Rh6n7ofja7/rm5akzEsJo4veD6FQZ0eYhdPjptSz\nonkJvLg4FA8bttNWZDkVn3mos45FSqOc8Kx7hQ6dwnObdRDnM+65fzT8TNTGaD3m+DodGjSMl7le\nNnQxWq+Wux2uv/7FZOQAPZ68UOe0IV/4cEZAclxiINvxHTPBTBdK7DyEx207AG3I6nvOZ4elkdop\nkPaesnGxezwbXoynd6yL5ynFHN8U1zBtCJkggO/7cWEoWrBIB9B+yrkskLBxu78QV/gWo9BjHwWn\nwBQNdS4HZKitwIuH8eFD8NB2hOHZbqizgi5khzoHpJ1Oji8dgkkVk+PL+p57jfj9vP9RZnrvQ8O2\nknFw80Sq85sZhtMXWGEyIDvUObFNHupcj+Nbib8TRe7Asv9fvFPTQu43DwVUIie/BA0VX7up7zGv\nlS4EUE4+uMX3qmYeWhB4InwFQRiKSI7nrgntBR6uNCPXlRKFvLFz5JfzH3btA0vgsfC4lLC6LNKK\nrgCuSKEhqPWQ9yBCj5XnWA6pUGciPqyj0JviS9S5yxK+hRLsMDERaa6kKsSCpRFk5e56Pa4Q5c5w\nVnQAD2dOVFYmopi6v3a++SD7XszDYyG+PFcyyDu3AauYbQs+MbfMY1WqgXgIGT6Or5MfmTMGs3V8\nuYjgoc5Z5zyBYiKfXWO7/2o3EaIFIp6I8LXCion6IDAiMtBkvWILYId44sdaLMFxfIux2KUFi3wo\neLoQTrsOX0BEa5T/G+X4pnQ+8OsROr5VEkKtidjVKLDCVwoBEawFmuNL2o9CyclZNSKfj7PLrkH0\nexC+0nFwnbG8ybi3TqhzNb5vaMdE2rBzWb85fBpwhxGj6/GOI15FmuM4vvxeVY5YD0iHhocCAqh4\n/SiXutMUt0rL8fXK4bzWvg+DNgwR4SsIwwkRvrsm0T/tYZwB0p+Q395sPy0ELXqoSxGfjuOb85Bd\nz74BJpKJ49vb465L+KaE//Iw2MGEOp9eL4SvbbpTlCYj1NnmR+ZVHtZBGHpaIBvvJ7z4ULTvnnzH\n13GKSFv8MhHMQfJepNeV56+mFZiy69VDtZttIyXH17rT/LtkXVfb7shZ990H9944vlkFixLFpvx4\nLF0Kd8Wd7edcf6XcNmeJIK/HPVa7HO0AUNZRdENgtQ7iHN+8MNuoQnYpFnw2bziEhzp7pLgVDXf2\nNRVIoVi1xeLsNfAzHN/wuN0qzuH+QqGtNdwwaBQQKOr4knu2yIZWKpACU6VRyRzfRI4tc/Lp73dq\nMahW9/tjw+4L1q3nnRbsu5QW0QCk/J+h9zfJ7edROfb3oJgiROk+qDtsKRSd8HkfBVTCEHMPRVf4\n2lzqaicCqFThq8KKzz1oyf9/M8IQ4SsIw4lVzwx2C4TBwP4zXPHY4LajP9gw474UeaoH+6DDxyPc\ntiJ/qAY6TizLx4un+xrqTIROb487r9gIFQbcNdy2wu7cvFx9PHAvCwW1PPQ/wC9n965dvYE6k5Hw\nreOxo7zdvDpVVTVSHRdeQRhg11ETkVJIOn471wP/+2bgnjrGF6Y4ubtkHF2PPLC+9kiK45vlFJdj\n0ZXILeRuMHP1qSjOC8fMwobTRsdmz5+K3eZoOKhwnrKix0eXZ8fMJbmTATtWXvUWiMNe6b1e3une\n31R8Uleqayuiqs68U0kHwIaX4n3RfW94CVhwHfDdPYFrT3TXGzPB/d7Tyrs6QLkSVtOtdANaY3uP\nj8UbuzJCnUNRTETkxh3d0H48nJGKwl6NKFF87GbL+hehtY97XliPjZ3xPUMLFgUoxCYoiibsNcQn\nxa2s4xusegYIfDy+siNciXxnEkPz+G5laLhuY8AcX7OPeP/G8DWN+/Mr26LPr3ridbywrsMN+U7k\ng8fnIQgC8gxkD7bGON+l1uT3ySuTMOu84YzYNmmhQS58aSFF+rvPHV97r9OQbwoRzB7/X6aKwOr5\nQMd6s2kUUNY2r7uICaoD4za1mWWJ45tZ1TkIKz5rcXwFQRiqPH/rYLdAGAzsP8Pd9h7cdvQHG+I8\neXpzth89rDOR2rMjf6iGyFHkoc70oaMfOb59DfHmIdvOPOomZITf2XasfhZYcE36dp78aSwQmkGa\n8O1NqHHgxdcu68G2kJbjyx7iAj9b+O5Ya/Jun7uh/nbZtlmiirVj3FDnMROSy2UJXx7qzB/+6bnk\nOb55ofZ5zDrNvL7t/emCmbplpQzhG/hxtd+AhP/yHMU0xzfN6ax2u51Y9DzQbXRscIW2A/m+Tnir\nu16xBXg4LFr1xjzzuse+5vWwT7ltmf4hsskAPeVK2FyTPrGjx0dnFaSSLi1uZR3fcB2tUEAAHYpI\npwBVWOiowF1DIHJIgyBAVzXA6+3xb1SXjsWThyK6EC6LAnbouHhS4LjBYSXm0eOBwENXEF4Dum9W\nqCnwk8WtAiiUQ7dRwx0r2EcBfoEJrfCe6iFiPXKpHeEL01GZcm94Hv3uhNc46iQJ0n8f7D3shLCX\nWdVtpAtf2/Fm86BpYTreqUR/32k6QsBClu155o6vdcJJqLMOfDzg/z/zfvSeiQ4eH0XH8XUgheOy\nxvFVfgXa5pvn/b8ZYYjwFYRhRS/zBIWRwVAKX+0rUXhjRk93f4kEks0lCx+itB/3sqd9fahrlhXq\n3Neqzv0Jdc5z66hYzwrF6829wp2FRkHzja2j0Jt90WuXWdyqlHS+00KdVTEUvr2o8ptHWqhzabT5\nPAqJZfnl3JFNVIPOym0lYcM6cM+rcwzafciu5fhGQzwFcecAkC4aolBnK3zNl0lpn+SN+nE4Ju+o\nSMvxTRtCxutmjm+Ga2xdNTseK4XeK3y4nMCLRVV0HsJ28Hxgtr9CeN4L4f0WRCHLKeGyVpCHx11B\nCUUE0EEAzYVvWFm54FQ3Dts/ZQZM7rHZHx2qyApdwIjbVzAVAKAQYJWOi8j5cKv/Lgn2Q+CZ+zQS\novR+ZoWafN9zQqnt/mzBJN6uAAVsHXdQ9F6R38Fu7QrfKkrxPWU7V6o98f8Jcv19LnyDAFEnR+K3\nMC3UOfwH4JXjEHl+7RIpBl485BMv+kXhHU6R48t+m6JQZ5bjG1Xq96P3BR2gA2Pi7SgufOPryit5\n05DyQCunwyHeQCV28nehNDoRvoIwnOhtgRxhZMAdnuEIzdVsBtFDiXUCbLXPIN/xpeNBZhW36rPj\nG8Tb6XVV5zzhS6ugZoRH9uZeaVZ+V5rjW+sByxmWqOI+EKaJ/EJLKNxqCd8Mx7evxa6cQnNkqBaa\n41vtSt4PWfdKQIYw4oV6qGPlFLfKGPYpbTqNqNMnfMC3D8s+ESK22BB3fKEAraF0EAsiKvj49Up1\nfFMq6Xok15l/J1NCcKMiRc5x0Q4GlRTdicJCJFQ7qzq41pHwLWpTuTuAgq9pri4pkGQ7ACLh22Ic\nX7sedejCkOqi3xMXkKI5vmHRMs3CjbswOpr2UUBP6OqVECRCjz0nLLkI7ZUB7cfVfrOqOmcKX4Xu\ncH/J4laFqMJ0uJHoeriOb9E9f0UyvFV4jTT5HlR99vvG73VejRwwAjqKWiA55b0Zx9cO+ZR2D6e9\np51TvABh5PimFGSjrrVfhUIQVW2Oxj0mtJRK0XnnYzfTDuas4lYFvxLdi6pZ/5eHICJ8BWFYIcJ3\nl2QgemM3LgZeuKN52496spslfG0oLXf0aI5f+P1pXwU8e3U4n4izrFDnXlV1JmKmvDPeTm87rXiO\n8dO/NPmovG1eVpt7IejyOgb6Q0AEWlSEpsa9TO+PSph/WGhJOr42RDsazoiGDdPjMTm+28s+qgFS\nzksfO5PSzvWONcBrc+NjsEWQonV8N7Scz4selgMkCkzRvN5wuuqlOL9ZEQBprH+RbJ8IwshNHxW7\nzVGOrzm3HqmkTR3fHk/j4Ve3QHMHLkU03LZwXfiehTNHjm/VFcU0D3HdC0DgY8XWHixctcM9LmcY\nMZXML+YOsc2LDzxkFeTS6553RBiCaiQobajz69vM8p5XxRvbythZCaLzVUEJBWhoHSRCnee8Fju9\nTicCELvRvhc7zCGd2hW+2yrmN2ZvtTUhRGmocxUl6PBc9lhBlFXVeeMSBL5vxu0lwre1VIpyjGuF\nOiuNdOEbblP3tJsPwo4QXe3Ghi5zHTT5Td7RRdq15N7kvZ4aEdIaf7esGPTLpLhVhvBVhViItu4e\nrpeVCgMkIi2IgHXaGf6GX//MGiQIqqiGrrb2qyhAx9cxqGJ72f3tamlpiYUvC3W+o21DNO3bys0M\n1bUpvIcLgBbHVxCEocg+7xzsFgiDwUCEOl/xbuCuzzdv+9TFaQbRAzI7R7S4jRWfN58K3PdVoHMz\nc3xpwSIqGvoY6vzgf9d23TK3Sc7T1teAB74O3H5Gcn/OQ31awaU6aFa18EiQ+e6wUXk4xYzCdVrG\nJENnaUh71pAhAHqqRhSvaS+jo8IcV9rG3uLcK2wbmaHOQezktox2r1HgxfP4vUiPz/ei9dZt72L7\nZ0Pi1Lr3IqEburpWEPLCQDp2y4JQMAVBLMDjHF8fPT6wYmsZmgp5ey7osQLoIbOjHMSEy0/zf7vi\n6fu/Bt/3sXRTF25/bp17XPQ8q0JSsFDh61yDAKnuHIDuoIAi3A4nDWVEf3i+Vm8PBfCmHSj7wMZO\nP+qYsqHOCEzI8gTsjDb1wPI4tDhydCPH1xa+qoTj/8YCs4dWddYFTFNGVE1WOxxnmBamigpRhecy\nDnXOEL6FUuT40uGMWlpaIheRF7fSKGDFpPfjDbUPXg4OCM9tUvh64Xqqa4v5IByzXAVVVML7IfA9\n+Nr8bt+1cFXcrhWPpTi+NMeX5A3bjp0WMmZxVHWb5fjSMP/I8Q3zpcdOirfPf8eyQp1ZfrHXvhoA\n8PLGlCgbv4pX15lOgPYdpjOHntdKoHCv/+7o/ZvHj8NYmO34KOBu/+ho3p+XxEXENFRqju9u1a3E\n8RXhKwjCUGLfsMBB69j85YSRyZAam7WPRP9YmyTeo576lAqvUXhZ2OPftTVex8nx7avjmxG+2t3e\nd4c7bb3Ojcm2UVeqr6HOzepQcUKd63R8HcFH3JhEYajw/LSOgzMUEOAIpECb/ftQprBPw4RvxnBG\ngHuv03Org+QDcrS9qjsmadqQQkDoIpttKDrGsSUvD5HjVIr2SF5lSn5kGI6rK8adVGR9n4TnRq4k\nd3xpnm14jelDfSzUdHYHAD22ahd04MFDMRnm6dwrijmDTPhylzC1ujWgtUYRflzQyesJhWgBhdAt\ni9zYwAjFAIXo+1nRLSga6xMaCs/oGdG2lwf7xIeYcHzjIk+RO2ebiwK8MKR4/0m7O6egqlmos45z\nQau6GLnnUQisU9WZnGelEPheOEQSdXyLUZi0h2IilHbtXu/EJ1t+jueDtwJOjq8bgpsoyhRiHeQg\nFN0A0F3xTMG4aAP0ugbs2pF72A6RVCRh3YUaoc7UKQ6Lj6UWgEttiw/w3OMJBwIAVPjbVEkRogi8\n6DfcLuc690WcW42rz09/83gsCEyxyLEtCjd6x0fzKhlDXXH88J4S4SsIwhDDjpm46/w4CQQ6BuFw\npdk5vlnVk7Ufh0jaB58CyZuieY6O8O2F4+uErPIc3z5+Z6lAitpLwucsRFAETvGXXgi6vrrS9W5X\nB3E7ndzYFNLCFbMKzwBx3l6VVIKtxMLXD0NyAxTMEC+NEr557nrWA7IO3MJNdD2aD5wotEbyZYNq\nFFqrFBO+WifHDc7DKSLlJx3fqLhVEOU5qgotwBQKXztETlj9N0Ahee87gtxsnz6MRw/4mrjWvMgX\nG5ZMR2IwR/jyvN3Ad4tb8SiPtKFnABS0jyKCKGQ0qJbjY7XNC9tR1FYoFiIntYoSCjDiLEAhzt0E\n0A1anZmNJxve+4WAVOC1TSfj5ba0lJxwYyqYRrW0xOP46qJxWb3Q8Y1yfEnnoJPzrxEEyeGMWltL\nkditIhbBlB7Ph4Zb3Mp1fIuOkKfEwrcKbe8v04tFmsYcX7+KxLNSsYVEMNgxiyvm/wSdR8dgBuLx\nwcm9j7TiY2lt4bnGOohNixRBS7dZhPnOFsPrw0PIKaNbW6Lz2aoCJxqACusAyhneytll2CmieGG8\nEYwIX0EYDigRvrs0ieqtDaK7vXn5nRz7gNFI17rabY4BII4v+wdPQ53tg719yKGhqDxUrjcVkvOK\nW/X12qXlalJBYCEPqQF9iKcCpRbNiiSgjm8Pu05ZOOGKvOKqdWdaouXKKhQNlU6zXHGUI1g834gN\nbR/+EiK1j6KfFT5ycO4BHgJJ3EwnH7yDtIk5nUEVgI6cJx0Ke5U2nFFvHF/alpQc3ypKsetlhW+V\n7Ftz4euF4qyAgl9220VDacMOHCri7LSmufZ+To4vjND2mRNpIDm+3e2sY4qJaV7xOUOsq6CKIgJ0\nR8K3J0WImukSfPih861DJzUSvlo71XgBoJMUqYrEJe/0AaL83Ph9IXJ2W0ot6R0JMGHJdp7dt/Ks\n4xuHOmsoaKXiiBjAnEo/2cHQWopFV6CSju/zq9rR3mWFKHF82djDXpoAROxYaq8S3V86EVmRklcb\n5fGS4lb2N7LFFrfqgacVyoFKOr72d9M6xQDKinSu2dOSV9yKf3d1ALSE4rnbnNtqmgPrVyPn1Qpf\nx7nXrLhVS9z50KJ8pxPBI3nkOk/qKUVSFXaN50sRvoIwLLDCd9epvCcQmuX4/vAA4PoPs301SQRF\nDkwDt3/18eYYgLjdCceXhNlGwjdchhYf4qHOjcjxdXIUGyF8U1xzx/ElD1z3fLn+a9ks4UsLMnVu\ntjvL/x1zOh+48A2vY2lUJJ7+9GpY2KjaZZzxltGOMxNoRAWFUkOdt76WbG89rHomvc2JY8gSvqwg\nV6WDLZcS4hsK363tphMhFr60EjatfNwL4at9UsDKfA/a1nXFxXnCUGcVtkuR6xiJqtAZHAvT3nJn\ne5wXSkSrF4pBGqJsna1lG3eSUGfWGUWPrWUcNrR3RqGalHKVCNiNLye/S7aoF+Ced1vIy95vZH9F\nPywGFTqbHV2dCKAwBrE4tkLDCF8jPKqVnuj4ijAdYZoJWBr+6/GqzkXq3BVMFWTyvjsw78eNHoXF\nNp8WrlO4+9hWZ9ibCkrRmMFlJ09YwfOqwOoF0WedFQ86SOlgKMRjwxaLJafCNAD8eZEprqTZswt1\nhj0mptv1uGjaiuoxO1dG53XSbq1I5MVbbD5uMSVc3/5uRFWjy1i2qQvzX9+RFL72e906Ntr+7140\nOcibt8Z5s4vXxtP0+ACwdI0wmmL0HqYJa58D4F6feBtV7Og2bU1zfPl9XiyWUAj/l+1XXeFcA9op\n40NhM/ZM7g8AVDG+riJ8BUEYOqQ84Ai7DlHIaBOu/+pn3ffN+ufXDOFLK+RmtZs/PJtGxOs4Q7qw\nXMBo8T5WdbYPY/VsI2+becIqfHDv1q2u48vbkti+Tp9uFJqEJeoAGE0evPLaleacRJVtaQiumY5E\nQ6UrHEqnxXnw9AIzdmpgCxHxfduCN4Db8VGLFlJvwT5kH/rx5DHw6txZji8Xy74HlOwYnrZQjxEa\nnd1GtBSi+5jcY3z83zzsebIFs+zDf9iZ0qnHGGeLDmdEYVWdTaizwlo90czv2U5ySGMR6VetC0oc\n31DwdVeqbmQDdbDp9Xnb+1FQOnWolqpH1mvdLfs8821G1X/JsDchVvjasGRbbGqlflO0jG3HqKIO\nx+otGucbsYApaA+BZsKXuKBxFV/r+Lohq/SczXzLXpG4mbD7WCyeeDz+pfIVvLPnV85ybxm/W/Te\nOr4F31xjE24cVwZeFUx2vhMVz4+EL93mIfvsFbV1bAmYMn4PZKGA6F6j7rYJs423eYn3qWj6pWCa\nc9wA8I637JldgNC69fY+jcYGHhVfx1IsfK2Q11FUSdiO0XuZ19bdon11h23u3LEl2l17hxt2nxia\njE7rsOMo7DwCMkKd/SpKMMdU8uKQ6OXBm8PzwB3fFnzggx8FAIxCFa/rvePdsiGsVuv/z957h0ty\nlFfjp6q6Z+aG3btZq7DaXcVFOUsgCSQEAiRjMiaZbIMJNsYEgzEWWDZgDDa2+cAGgyP+/AE/m2Si\nAWNAAiSCJJDQIrHKYbX5hpnp7qrfH5Xequ6eO3Pv3NVKO+/z7LNzp2e6q6ure+rUOe9515aPB4Ax\nji/Kc/CNMz9YUebr4Rkj4DuKUTwUwk1MR8D3oAwHGvfD9V8q4LsUUmcadYsDVMJMpbeAZndoLdRe\nYLPnsWukzpWgu8+oynV1f2ceFHW0O+wMWpBF9LlejF9dm4cVJVOnqF/qooo5cQwcZXztpNRMZjML\nfJMAsBRSQZpcUFkldQ4MpgYAvlUAvTVlSgD1m+Nb0SdMeDluGgEwA4KsmRKnCwuVx5uP8Y3aYtlF\nI/ecRsuXJRLN4KuMHMsyUcrkr+6BZu6Sou0ZqwDA1uf4KoWwj+rK7BQ6H7JQVaVaiKFd3qlf0ALK\nKg9JmG9yPG76yjKRvNA5vveple4zXSNLZcozvlx2g21cZY51peduc3691NlcU+E/p6L6v1sO88A3\nSQRO27AS/yXPwy4sDySyjAs0G/r6FRDIVAJhAHkBjpzZYye4Q60LzOGUAmxeck72OdlquuueMokt\n60NzLd9mrQ5Qpv8oK6lBtz+faVKeaZfyIDGQOhc1Un77rKW1gBnX19JJne1CUscrBdy9RRYclh8R\nOD7PmmdMM/fqgFLd2xpTNKeY4AJYc6x7m14fvw+S4yv99blZHaFPKZJHJ0mKYzbqbWOsG4wNSRjf\nGDAHwQVuV4dg26rzg7H2cI4R8B3FKB4KsVQ5nqN4aASVjA4r6sbSkjG+FvgusatzKQ+MAFoqa7bf\noYxvIKMbgtQ5cPFdjNQ5YnJl7idxBvjOqmYF8O2TWV0S4BsxnXV5r6XvVTAnlvWKS5SAmOVY4CvS\nYOIppYSU0uX4qvjYAfAdYOxXmnAJlKTcJakzKdVTxUTaMipFpl/TcjyGlRKGFXJSZ/p/L+fZ0jlE\n94FjfDXwmVNGUq5kaVLMWVWObwGpmAN5Qna9u2xO8yMt8CUyTgO+lJVd23ZRsEudh4uuBr7g5VIt\nSvk+Iy7Ybp80Yid3Wu+1wv/AA19tNkXNmuy5MuPqXICDm2P7bZoVp8CH1ll14CYqZwSEYAYAJpqp\nk5InSYqxhp/SU2DNhIDixNWZGiYpjoIwvh1E9495hsWM71gzcUArZRLNpNo1WJkcX2u8R0sixfts\nE5OvGbSQG1m3rxMdje/YWV1mJMe3q8czT0P2F4DKu6SMT7S4Jgt9z9kFKGg1DQA0MlIvOq57G+Sz\nE8MsO6aY6IvxtcDXhgR3i3slxreRYmxyRXk/sGMlca/rgnO9z25+cBhbASPgO4pRPERixPge1BEz\nlcMIamBCQ+Z6ovCvzwLu/nF5+23fBf79BRg4F3gppM5u36SURZVrr5vgR59RBHxQ51z6WWDhUmfb\ntn72UdpnBYtn613KwgFfdfOXABgJYcxYxsCnOwv8yzOAB7buB+BbY/I13/Eqza3MVIUCX/MshExj\nDwAAIABJREFUtJNSdGfRLoBdbRX0Qy6VlmoqDqmYrj9b185FMr5X/3KXmZzXsK7xWKxaDBCpl23y\nNGSwDSMrVAh8CwPYu7ksX9cbPw985tUV7S+AvXf5c6HAtzuDjtJOwErmKGSOD31rG2RcKsy5Ouv3\n292udiwm0mMLgimItFLtsNasB41+/zkq68um4wb4FgFo9N9TwK3f9N/pNfbySOpMGF+Vh2ZagB9v\nQmrwFAJf68CcQaowHzcjUmcVg0/CADuwYq7pf153v28e+V6uOMabift8kiRIePl4gGZ8rftzzDbn\nEH6fFWWJ1vzi04CUDsjbGGumfj+Mo5lUwwmb45sZ/wHKSsYMNpV8d9AgjGVNDiqt6xxdOxRd5BC4\n9o69ftwQV2cVge73//et7hh7uwV+8cCck0Hb/lk1fbP7fGPPL/Vv4UceC9x2VfVzK2kBRYZ2N8cn\nf3g3dksP7LtRP+tjZ25Ry70FjrZZ2Jlk4UJMI0kwMakl5veoVcG2MMe3Huoxc89nxQj4jmIUoziQ\nYqnkoaN4aMRSML67b6s/1vYbga1fAT7zmvL2T/wacOPngM7e8rZeUSwh8M3bYR8FMtui3H+U5aXO\nuLWs5HzAN5L12jjxaYtgfGuYDbvNnBOb0yYrs2hBxQxV/L1ffgv4xdeAL781ypVbisWIaBFhGFJn\nmuNrYtZJnWewtyOxc64IQJZUKsjxLYpejO8AwJeyw4Y1+tm9xlSrTqbuSq6gXmHAE7+Q42qNhlLn\nltDf46ac0WxH71MbQ0U5vv/+fOBH/1JuP71/XR6vBgaqO4MuDKMncyjjnpxFrrJ2bDtHZstmEmDl\nyv+Qa7Lt/t3B9wAgZ0bGHTOwVXWd0zFA5khRIEOCXyhfBxeAZvUtu5bN9S917pHja8OOt0S2ocAD\nsyYLGrXUmWEV2+e2WZAoVA7FQuCrSFkiC8bmOrpdWx8gru22RrJ5fdbGla4P0zTFz+/1xzt01XLy\nPYGC63bGwLcgcuO8piwRZAGpOJLUb1s3NY6vFmfi08UF+NrYk3DakSvw291X40+y57nPPP30w7F6\nsgEG5fK66TVvoRuAz9vVOve6rVKX75qZvrF51i6oc72TqVuFQQezOfCz+2bhnr2G8WWu3jR1FffO\nxjtncuyYK1CYRZEqxjRvTOnFlbuu1f9XSZ2TJiAz7JppQ4Ljmjt9e3/9Ai979oqWHK1obakAx/3Q\ncvoN7L5gW6PRQJI2cPURL8Oey/42+p5w7HpcyujD+a/4P9iI8R3FKEZxIMZI6nxwRyzVHUbYCWAz\nMiWRpBZiVcQumH0fbwlzfPN2yCjHk/+4/5yUMmJ86ySR8913dVJnxuaXm/azz5h5sjJYEnOqARZP\n1OO/bdsYr2/zsGKhjG9VPUw7MXRyYD/2nDyyO+tlnIEEUjO+CkyD3/h69DI+6hXBwoR+LaPSLfrN\nmPEl5lZ0MSSWOitZzlk2523lmYm5Tbk5B86i4/U6n/hzUa1RBQNSZI6ElRk/ug9bZkUDCo7JCW/8\nZUGWIq7OIgLMADybHADdLLoPiLt10UUTGQ5fM1VifPXiBlFJ0ftH5sD6k8mHK3J8LUDK53CXWo0P\n5U92H5lW+txSpWvBtlEGvtzU8b1VHVrqB64KcC5Krr7SjHFr9mSZvzxiSDPHgnJsWDXu9pMkKY4n\nebavf5I/x83rlhPgG7K6OSkplKsy4wsATOUowJA2PGOZigQXn3M6fi97Fe5tbMBFx63DZ+X5+Ejh\nQdX7f+00TDQTMEC7RSNkH4vI1ZnKvzto4Fp1HAB/jzvga69f7MgNYtCWdwJQrzuJGmuRMj4gMmKZ\na1CsfCkqBY7vy+N921SqTcvsmI0XTSVhfE3ebgEGii2POsTnhmPTBe57LaGcmRUAXHjcIbhz2Wmg\ncYfURlWpkZef9/L3Y8u5l+Ki472BFb2uRbRg9Wf5c9xrxTgaCUdnxPiOYhSjOKDCPVRHwPegjKVg\nfF0eUlz3dp7JvwNTC2QwlwT4kpqhFFzEf8eML52wxJOXwCF5gVLnIiPtWoSrc14hYeZ+QtdWqZ7k\nFDHwrXEeZfwAljr3YHwrnG5nlTe3cjmQEXNryxkpLJHU2Ux0JTiUUqhfQKE5vnl1n1ipMwW+0WIT\ni6TOzBrisPh4fTLr9nim1iiTuZGhcjBzDWLpLt2HZ8s0k6ZEOe9VkbJbwuRHUkffwjK+MjIvCsos\nWeA7BpV30GQZOHXltl+TkdzcAiRnHFZzzWUIfAENGihInYY/HuMc7UDWbc8h1+wpdWu2ec8owAUv\n5XhagOZdnSsWBxRHQfqslXrg2EiSQG7cICBViASFaLnz6RBWl4LDLGoz7RcJjmbDbxNCoJWa8k2C\nu9fl0L8vFviGTHfIutIc1jZSxz63TR1dIQ3wtc7LMeNLDdqKDnLd2/4zSegoTfuS5lbbsW/HRpxH\nvhdj4JR9pikMAJE662vQQKaPR4bd2Bgp/0RqDzNVBH0kksQbGZqwix9W+WGjlYTn4xdJwt94Xf/Z\nfJZxNAUfMb6jGMUoDrCwz7fp+3p+7EGPPXcBP/+ifj29Hbjj+4PvozsL3PL14bbroR5uMjvEhQ+7\nz7jubQB8q463wNJaTuq8QAbUxp3XAPui+yCfC8FtXNIlXjho7/Hb7MQ3zvENpMDzAd8awByUSFqE\n1DlmfGWO2dzvr4MUOTj4fIzvnK09yepZyWFFvBiwCKnzni4pPwVgL+li5+rcnYFUxqmVnJv21ZIa\nlFYCX3Jd4nJQvaJCii4JAPT7j8BtQe7lqmvAE69EcIyv3v8Ds4ZhNfuwwFcqK31G/XXNokWQWI6t\nJK7f7s9fGsaIFV7uWRrBZh8OvCjdz+BlFpSOxeXQktwA1MVydtKu3EhdrZT/3jmmfycAJI2wfiwA\nYPe2sN8tQEqaZWVHhbnVnsw/E3PjgmxjmtarZRw5o3mbnpEv4lxn8ppzEYB+AJjN9TEtWLEmbFkA\nDD3jy6DQTHx+boMXENwDnGbqv5eIBLm5JgyqxPjafVbl+OrG6IWjlADfJEmcoVUqWK25FYyTuqxg\nfBlUYHZFAVrOGg6E27zqFXN36o1jFvjSHF/9jJnOzD6m7y+5RtMFDRUxvkXE/kpwKKLkoP0yy8Y1\n43v1B80XasaUWZRpQJudrYGv/TvW8uPounvMecgMXBXBNU+ECNoN+MWDRpQPTBcfcgjnFF7l6uzS\nE5iAEAw/vH136TMP1xgB31GM4qEQ9kf8u3/94LZjvvj0y4B/e46eaHzkYuDvHz/4Pr74RuCfnwbc\nf9Pw2/dQjSWROlvGt4LFsSxwL8A3aFuGJXX+6CXAhy8I38s7CEykioj1is2tXJuizwUAtpzfVxu1\npSy6C09TkDVgGoAsMnxtt5fDjaNjaoZGADkGO/vu1f83J6NzX6o6vvZ1Rd517ffKUuef3GUYO9MP\nN9zjJ7yeoVKQYFgNn+eo34VjIuW8jO8gwJdecyJ1jp1ng9eRGiEGXYCe5NoSXI7x1WPxFzs6wfFs\nOSMrdWa9GN8vvilqfyjVLgqJ798+7YCIlYIyZcEtx3JWDZ4taGCGLWsnPn3Cm1v5sTkpDIAnzLBn\nfMM+UbLAXgNEp2c0gL19H5C39XVutMrAd9WXXwvnzgt4gOSMw+oWuPSz4id3+/FVQGCSnPc9tkYx\nNHia4V5e7MCRzFFAoEvY033w8u+5TNUyvm4RwTG+/nO0NiuHwmQzwaeLCwEAbOoIXPIInSO7Zf0y\ntAjwFUkCaRjflBUBqxsYZiFxebVBqAI5BFKyyCCSxAEtzhjGm5oBPnqtVg285uJj9AeZBrhFXi5h\nFf9NAdqMTF1d2l/k+rw27btWb7Q1wQOps86Z/9+7TPuz2bI8n5TkkirO8Q0BeAHunj8KDCuYZ5fn\n2Dg2t28iC6g1Y8oA1ibTjO+53M9pJpf5e+SXu829WOQG+PprniQJ5gjbfOqGFfin4lIAwLK1R4JG\nVvhnbK4ECmZdnXUffH7sV/1nHfBl2DOX4dbtpC8f5jECvqMYxUMhHirmVrdfpf8vusCeOxa2jx23\n6P9nd/T+3MEUDtQNU+q8UMa3n21Vxxtiju/M/eHfGWF8ocqMb93CQSkXmGynoHEQV+c4R3Gh59vL\nKVoVblIIeBZHFBEw6RAQqJSXR08esvRS55j1XITU2U1KTZvpJHVOEVkqOL4rTwz3Z0opWRanlONb\nt2gxXwRjzEqd58nxjcdmDLoAX6bK1iEljG/m8j9DxpcbqbOW+EZA28Z270irt4XXXykZ1f4sy1Cv\nwQmV+3DgwjCDe1Ofa+gZX5Lja9yHi2TC78pM0lkR9qsscg8EDOM7q1rgBvSIpIGPvvAslIKaVNlF\nLNGYh/HV22JG9BZinrVdTTnZq2Ic2xN/H1pWN4U2t+oyDzC/w053r9evnESHhcyqBSIWrNjnc5iH\n6q8Jg0Ij4fjusifhuPY/gq0+CmduXIWfX/lEfPF3Lgxkz6wxBmlAX5PL6PyEO58MAteQXNbvy+OR\n8abL3W40veQ24TwA16ng+PHbL8WXXvdobHv35XjDE/R+FFiQ40vBbczISjDc0TgKADA+NoY/zZ+H\n09sfxv9Z9tqgr5wvRZyfrSRuU+v9Wyos/+TqYgPBWAeAuAZuAe5y6SU4vi1Pcts7fBzLpWdvdS56\njaszoEsURb+zYy2SB28Xh2QGBokkDWXqzzv/OPf3p1/5SLzl7e9F+w92YmLFmmCfTz71MEhlpOVI\nAuA7lgr87fgrsKn9CbPdSp0Fnn/ukQeVfcwI+I5iFA+JeIg9lRbzFOX+R2AUJuKaqMMI90NdkePb\nzzEGZjCtFHkR7a9j5Hrm+Bbk2BHo6Rf4zpvjW5czOCSpc3T9uZmIuo+CoYsUSQx820S+RvPQGCsB\nn6FHAHRNHV8e5i9Wf6+cH1v0Ar6EvVJg3uWZ7tKAOgUG1YvxHeSZUzHRdVLNOH/WnncpF7CC8bVu\nxF1Tl5gLBxrtecc5vhb4FjHb3MuZPHIwZ6aPLMhU4K6OKqDB7bSK2FVXzsgDXwkGnlKJb7mcEVe6\nvziZ4FtzJ2YZ32QMkAWKwjNgwlyfGTTdIg8TKZaPVctzXW6wzZEXTX9P8rIEG7KAkiHwLRDKkjto\nYJ/N82UcjORfWgDDmTJlncjYFKTveOIYbhsO3JuxYqXOeSQFtgDZOnoDGnBboNtMBBhjAfAVaQvK\nAd8iyFctlHB5yjmETx0wx2ZKwZYzSijwTVK0zDHsI72VCqQihhX6nrBSZ+oMnamkBHxzqT/PGAfA\nsAvLwXjIErt7xC6mGLM+pSS6EA78aZOqOnOr0FiLLjAocF3jl9zXNC9aipZTW+g3zAKnM+ELGV9A\n9xeNNPWsrpPBF1rqLHnI+IoG6XfBMdlMgkUHt0/BCHvv83gV45hoJpjp+GeDv88ZJpoJuiNzq1GM\nYhQHVBzIjC+VldpYTM6gM6cYwGH14R5L4cBbJ3WOV6+HFcMwt4qluzbiHN+4VE+dOZiMGLe6nMh5\nXZ1rgO9izK3qagpbCSQBJRxKO43GwH4uBr5ksaMK+A5am7lXVJlbOQDYK8e3DCizCPiGtT9DxjfO\nURxM6rzQOr7W/ZVpMBrfrxT4xooAtz/TjtQ6K8/oe1OkjrG0sldrDuWBr8n1jaXUvZ4bpc/JoLZp\nmfFlmJVp5T4KAsglGBLhP2cdl1nedoBEmO81CPBVPCpnlGpHXClz73Ss9LYZRQymRFpdQ1YSxtfV\ncW34hT3hwQY9HyXzCPiGAKmjUi8VZhwiLRt5ASbHkjC+iuZpcoGMhSZSLucycjCPpc62r3m0kMEj\nk0Ka4ysa407q3IBETo6dg7scWl3OKDwHBukY3yZhKZNEVIKvOBgUGuhAmn4WCT12zPhyFNIYtpGa\nxDJ+djYt8CVMvirAoKDIMyDO45VU6kz6EkAAkPXYZ47xjUtA0f3oN8xiijNhCxlfc0LBV9KqxSGZ\ng0NCkhz5NEnAGmUDt6pIBHfnG5QzMnWW97b9WHfAlwm0EoFuLrUx30EQI+A7Ch2ffz3wjlXzf24U\nD04cqA+kbd8B/ng1cN0nw/cXA27iVdNR9Ja99oo7rwGumALu+2l5W63UmZpBDTHHdxhS59jkyb3f\nCcFtLPesA59VNTxtZMQxdBBX59jt157vtR/vvY+e+yT3wuwDAELwtx0rKmtNejMrhP1CWXC77atv\nB/4ikgkvJqrMrey93WtcVTCijlEsMhSKoVQShUj64tI2yrDNClyzvr3KGd31o/7OLWpnN+uiUAyW\n3Wp3KYuYYza3OfOx8VpFLrAtKdSd1cw8T4jk2+RUWsbXljEy47OQ0T7pNUhitjb8XFGENXgpu6j/\n5piLjY9cWSKT4ysLSAgowlhZFlTks46lnJC6hjAnLJj9DnNs2Zi+3nnurnez0PckzZdljKNZ5Sis\nCg10AQKQiLmVbaO5n+x3six37sxAeTGli8TL6xlHq0EAEQv7a19OgBUBM4oJTOchaHQmTyJURVDg\nNtFKg2sCAEeZnNoY/DcT7sri8LTpgHfKCmd0pc9PYE4mrg0zxLW6iwRMSTAjYW82w3JG4039vakq\nxt3E5pkfo4EcG773TgBAW/rn1E4sK5VruinTMvnxySm/jzWT4U5tjq/9PbDXFYBUzAHJePHmDf/h\nc2zjckaxpFyCg5l7REXmVogZ6EKbojkp9R3f0/+T31bFwu8kwv/tgG+RQajCL35ALzCICufyqkg4\nw81qgzsHN1YYRyIYHpj2v3c5dXU290/nIHF2HgHfUei45u97r8KP4sGNA5XxfeDn+v9t3wrfX9RY\nspPiHrVkD7ZYqCz1Z5/R/2/9Sv0+GQ+ZPuNsOm8sWOq8iLFcx8hRSXGl1LnG3CrOsawzOordkeOo\nYA07KtETomHU8aXqhz136SaB46XdN+DrxWl4Vfd3sBPLUIqS1NnWkK0Avt/5ALDv7uEpLaoY32hS\nP+/3TBszwohopsY/GySYc9aVUdmRTxcXojN5BGzuqc7x7cH4kvrA8wbpv6zbMa7ROmbboXw2UxT4\n5oQZinIUAcL4zhGps2V8DdsXM74GUCqrbnCLhwWw+dH6tf2ftIu+ZkpFOb4RI4awDA7tAyp1BmOB\nu/D4hM/jpVLpTAk8+bTD/ekLa25l7rt0DNbcKr6u/1R400SZd9BKBF7QfQvelT2XtE1W5PgScysL\nfC3za0odKRmaCxUQmDzBH2/LEauJvJ6hmQq8b/U78Iru72IZqV/MeFga6JDVK3zbmMBWdQRouNQF\nC0rN9aGfO+GwFSU36L957hn4+xedhXXLw4WNVirwG9nv4RXd1yFNUyfJ1sCXyJnhaxHnSHCTAU6A\nVlNww/gqhDm9ScLx2C3r8PZfOQFveqLPC47j1kLnQLu6xIrjcZ0/w0fzJ+G69NSQTUeKN2e/id/s\n/i4uOv9R+M1HH4U3PfF4/PVzfH70V4ozgfWnmMZH1xWW5RXuNQWslM2uymEPt5EcX8UgSH5wd90p\n4UlKU2965Sb9twWqKza6jzAusO0538C9WIPrLvoYGGHou8QUrYHMsfMAkDTGgpSAXpFwhpd034gX\nd9+EGYzp3yBoxncsYuepq/N5R63Gm5+4pVTZ8OEaI+A7ilE8JOIAZXzrQMxiwI0r6zG/jOqgCRmB\niH6jl2ycSp1j5qmv8kkPBvCtUQHEBlZx7m6t1Dmv/hwQgpI6iTX9rg0zGesgNYzvEIAvZQm72rCq\ngMDX5Rl4afYm/EgdizvUOv+Zk56p/69jfGUROV+Tfolr/y40yD6lzZ/uS+pcNrdy9WNlbnJ1w9Ij\nVjYqwQKw8cH8KehOHBbl+PZgfAdxdQ4ky3nAuPNIAeBrhJpyRjYvNFYcAGWpM6nj64FvmOPrz0Xp\ndlnApyQwbg1wolmtbSNPAKWtvySYl0eqSCZaISN3wFd5qbMCB2fM9UeL5IX+VG1yrzMkOGQ5YbIM\n4HOuzqnP8S3Acb3a7D56l/KmPirvoplyfFuejBsVcblVhc+xpJJYu7DnFh/MfZCOA1KDPCpvLiDw\n/hec73b7mC2Henk952glHP/Lz8aX5dmYWuaZydXLxoP+WjbptykuMIMQqCp7fcwz247TvSpkt088\nQrtK2/ZNjae45BGHII5mwnGrOgxfluegIThgwFOKvCT5peZW9N6aNQsVTBWQRi5rIxEMk80EL71g\nMzau9osbcdzL1gZ/H3voCvxCHYEr81/HIw5dHpQz6iLBDMbwFXk2xlKBt172CLzqomMwNZ7i5kQb\nPH28eCLJ3baMbyPIs7cgtgR8Az+AMId9nLiDK+MG7cqFgXv1AIDxI08LT9KmB/EkaAsmvAM4FwKb\ntpyB9VfcglMuekbwdauKkHkHDZajEP6+EI0xpKK/uVAiGHZjGb4pdfsck8w4tqwPF0ZdWSzGcMaR\nK/FbFx3doyTVwytGwHcUo3goxFLU2RxGuMlfbJC0iPaOlAflWKi5VZQvFoRjfKP9B+zpASZ1rgMm\ngYFVJCftaW5lJtlMoGRuFTC+84DBClfnLlKoIlt4mkKdU7SpSVpEP99dUmvU5cDV5fgGixuIgO8A\nZZx6BXkGeOBrpc49xgAFZLLs6qwQSp0lGDLDYBWEvbLbAOVyTxWYZkWD4w2hjq/MADAow+xaRtae\nD61zC5l7SWRcsxaIpM5c95k1t1I2v9OUL6pafJK5n6TTkj7xM8AuphmnY8EUVCR1jhmxWEZu9+Gk\nzgYgMcYckFMEMFCQE5e1YUlsbqVzfFWRlxjfYOznHTdhbyAa0yICvq5UVOEXBe2zwrCGzDiAU0aM\nRqvZRNsy30yzoNY0iJoQgYugzWnaCrbRvk24XyhgDvjqfdLxDM6dKqFAb5CSENY9EQzCLAIIyEDq\nnMMz03GJJWsUx1UOsDCnN+ELgw8pYS9bqQhymCnojvOH7bauSryUPmB8PfAtCPBtE5UCzcGOxzet\nUSzBIFW46EO/K+La0abeNJjQ/wpipmaCV4BX299238WcXtSURNosmuNIRH9UbHxN7P2qmCg9KXxO\n+cEBdmmMgO8oRrHUccs3gJu+MPj3vv8RX8v2QJU61+VcDtre6z8F3H61fn3rN80+9hPLfcOngW++\nZ/8ca6GxUHOrXg7ZNMe3xHz2IXcdWOqc+f3fewNwzYA5r3Qfpfdp/mpUxzdmg6uAjki91Jkn4TYA\nyGrGuY0KqXMXCXDnD4YjdabXo6PLuPSqh+lcT2lud88c3xpTr8UE6ec8L/Tf/UidbbtE0zO+JMdX\nRrU5lWKO8VVgAdiQ4LoZSkEqLUVOd26N2mmuHWFW+4qImbbAGogY37ldoRRYZp6JDKTOuh3v/6aW\nsiOfw665HPfN5L6cUXTNBaLxbF2d7YRbFcANnzLtje4d20Y79mFloh745pHUuR0xvoVj2cj5geO+\nvW3dNiDKlyVAmvFAWmkBX2PanH86BsgMs50uCgLIdTvJ9S+6jolsgC5WtXHXtHSvAeC2Pdq8Ksjx\ndc8AY5BkGF/bNBmXoWk2PONrWNCt9+t7MqGAiIVS57TptzEeAkzBydgxCwATd+vSgFSCy6wCAKTs\nUU1QKW0qOERC3LpZtSHcOMJFLwp8qxjffiL+lWgkvt3NRASqAhqtKG87M/JfDoXHf+A7+k1nWtYM\nFuHt/SYjxpcuDsY57NRsSlYsru3LyLmnFcBXFlqlRlIT/ueWPe4jVcC3Ey04pN/UedCSOIU3mq1g\nEaNXiOhz7nwZL/1cb2Dbbcv62vfDKQ6+Mx7FKPZ3/PNTgf/7vMG/919vAD70KP06NiA6UMIBDBUy\nRYMC30+/DPjYE6I39xPw/dRLgW/+6fAm/EsR/dZAjYN7pqwUgcNvDeM7LKkzLbOiJPDh84HPv67/\n79sIcnLphJ84N1exmUFuawWg5KlnfC0rSUFJ3QKP208Z+C7HrJtMLyiqjI8AInUOnwmT414SiWXa\n1AYz2/17MeNb15eDgL9eQc67k0XlPvqROideMuhzfItAyghYqbNhTCoZX8DW8V2LPbgvI/1E2yKa\nGJjxJYoKKnVmqvD5hHvudNeq2+3qfughdabg8hcPzOKWB9rE5KuCndlzpz8VwEidm8E+XXuD9tvz\nJjJRxQnw5aXJf5zju32PVh/4MksSijFcf5ef8P+/+w51r+9XPs+1pToh8LW1WW2fpuOAzJ3U+ST+\nS/fZK596Eq5Z/jgAwJGPeaEDZHEN51/sNOds+m/rji5m2119vwp/7Vw/GMaXSp2Z+e29etOrcXNy\nHLYce5zP8WUcp27w57TsUJLrysN82VYzNLc6dKqF/6+4AP+UPx4f/vUzPXtvFi3s38FTlnGsP/YM\n3Mo24LqNL0a/0RAcs8uPxg/lMfgQeyZ2d/11PXXjajygtFnUyfxWAMAV2QtxXesstI3RlZAZwESQ\nJ5r2yfjuwvLg71df4mvSjjUEbiLy9NOPJOMjYnyTx/4BrpXH4iZ1JNrSbIsl7ECwAKXAsIt4H8Sl\nk+j9tLtNUjOi/HYJhrHcq2cO2exr+gLw7v2MG8ZX309f/Ln/DuflhYoGjB9EnEJAmOKkOY7DVozh\nG82Lce2Jby3tg8aRq8NnW4PpPlmGGVx28vpg2wqm711aFutgiQN0Nj2KBy2GWc5iFIuP2I32kJMf\nvLZUhQVhqqKEx7D2vb9iWBLPpYiFAt9eOb52bDEW7rPfvNRBGN9gbKjq1/1EXKbIvS78vvJOJHWW\n/rmmVCQhtpK0hEggexgP1UWFLPl78hF64cGe+zGPr/jiYPsE4KTOMeM7PkZklsvMJKc7TfZHFh+k\nDOXbCx1fvYLsR8m4nFEvqTOV4EaMr8xMbU5acxPoMip1Jk7BSsMHK3UOckBtSC3j1KVuBgS+BmAy\nmWkZtdkkVI4b1UZ3PlaiXGRWxmsZ37LUuRMAdwPAitDcqtQOf8L6ulrGPxhD0TNAEeBLQEOXGANR\naXKhyoyvKuz3jNs0itIi7dXyBPf6sHVr8IXiHADA9SsfB0bzosc1+BL5rH7DsGqs6EKUKp6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DdJpdBMOOa6ehzNZ5hlDcEk9L3s3brD54GXOof9ldPnIuPamMqE4Bxt1nL7D0Ar8+dOwajgRm1S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\nNmg5I1mlF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2bq6lonjbH466N4kOKhN+JHMZwgK95BLEbqrBTw9SuB3fOUrzmQ497rgas+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\n2HS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o4sa4UXwHW52DGl+GWqqzFFoVM4pldZxmn0QB0xtYgOz5aMMRvjzLgprbzDuvvu04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\niIiIptr/BZLrvzxAi1e+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a6f860450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dateTime = gsoDataHourly.index.values\n",
    "tempWetBulbInF = gsoDataHourly.loc[:,'HOURLYWETBULBTEMPF'].values\n",
    "tempDryBulbInF = pd.to_numeric(gsoDataHourly.loc[:,'HOURLYDRYBULBTEMPF'].values,errors='coerce')\n",
    "\n",
    "\n",
    "\n",
    "temp_chart = plt.figure(figsize=(16,8))\n",
    "temp1 = plt.plot(dateTime, tempWetBulbInF, label= 'Wet Bulb (F)')\n",
    "temp2 = plt.plot(dateTime, tempDryBulbInF, label= 'Dry Bulb (F)')\n",
    "\n",
    "plt.title('HourlyBulbTemp in degrees F')\n",
    "\n",
    "plt.ylabel('Temp')\n",
    "plt.xlabel('time')\n",
    "plt.legend(loc=0);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}