heart_rate_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "from __future__ import print_function, division\n",
    "\n",
    "import datetime\n",
    "import json\n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pandas.io.sql as psql\n",
    "import psycopg2 as pg\n",
    "import scipy.stats as stats\n",
    "import time\n",
    "\n",
    "from datetime import datetime\n",
    "from IPython.display import Markdown, display\n",
    "\n",
    "plt.style.use('ggplot')\n",
    "plt.rcParams['figure.figsize'] = 16, 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def printmd(string):\n",
    "    display(Markdown(string))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# get connected to the database\n",
    "connection = pg.connect(\"dbname=fitbit user=james\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# load in a postgres table as a dataframe\n",
    "sql = \"SELECT r_hr, date, jsonb_array_elements(hr) #>  \\\n",
    "        '{time}' AS time, jsonb_array_elements(hr ) #> \\\n",
    "        '{value}' AS value FROM heart_rate \\\n",
    "        WHERE date <= '2016-02-20' \"\n",
    "\n",
    "df = psql.read_sql(sql, connection)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>r_hr</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:10</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:25</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:40</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:50</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   r_hr        date      time  value\n",
       "0    66  2015-12-26  00:00:00     63\n",
       "1    66  2015-12-26  00:00:10     62\n",
       "2    66  2015-12-26  00:00:25     62\n",
       "3    66  2015-12-26  00:00:40     66\n",
       "4    66  2015-12-26  00:00:50     65"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<type 'datetime.date'> <type 'unicode'>\n"
     ]
    }
   ],
   "source": [
    "print(type(df.date[0]), type(df.time[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 loop, best of 3: 21.3 s per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "df['time1'] = df['time'].map(lambda x: datetime.time(datetime.strptime(x, '%H:%M:%S')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.time"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df['time1'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 loop, best of 3: 26.1 s per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "df['time2'] = df.apply(lambda x: datetime.time(datetime.strptime(x['time'], '%H:%M:%S')), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.time"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df['time2'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>r_hr</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>value</th>\n",
       "      <th>time1</th>\n",
       "      <th>time2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>63</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:10</td>\n",
       "      <td>62</td>\n",
       "      <td>00:00:10</td>\n",
       "      <td>00:00:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:25</td>\n",
       "      <td>62</td>\n",
       "      <td>00:00:25</td>\n",
       "      <td>00:00:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:40</td>\n",
       "      <td>66</td>\n",
       "      <td>00:00:40</td>\n",
       "      <td>00:00:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26</td>\n",
       "      <td>00:00:50</td>\n",
       "      <td>65</td>\n",
       "      <td>00:00:50</td>\n",
       "      <td>00:00:50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   r_hr        date      time  value     time1     time2\n",
       "0    66  2015-12-26  00:00:00     63  00:00:00  00:00:00\n",
       "1    66  2015-12-26  00:00:10     62  00:00:10  00:00:10\n",
       "2    66  2015-12-26  00:00:25     62  00:00:25  00:00:25\n",
       "3    66  2015-12-26  00:00:40     66  00:00:40  00:00:40\n",
       "4    66  2015-12-26  00:00:50     65  00:00:50  00:00:50"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df['time'] = df['time2']\n",
    "del(df['time1'], df['time2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>r_hr</th>\n",
       "      <th>value</th>\n",
       "      <th>datetime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>66</td>\n",
       "      <td>63</td>\n",
       "      <td>2015-12-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>2015-12-26 00:00:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>2015-12-26 00:00:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>2015-12-26 00:00:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>66</td>\n",
       "      <td>65</td>\n",
       "      <td>2015-12-26 00:00:50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   r_hr  value            datetime\n",
       "0    66     63 2015-12-26 00:00:00\n",
       "1    66     62 2015-12-26 00:00:10\n",
       "2    66     62 2015-12-26 00:00:25\n",
       "3    66     66 2015-12-26 00:00:40\n",
       "4    66     65 2015-12-26 00:00:50"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a datetime object column from date and time\n",
    "df['datetime'] = df.apply(lambda x: datetime.combine(x['date'], x['time']), axis=1)\n",
    "del([df['date'], df['time']])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Now lets make those timestamps the index\n",
    "df.set_index(pd.DatetimeIndex(df['datetime']), inplace=True)\n",
    "del(df['datetime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>r_hr</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:00</th>\n",
       "      <td>66</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:10</th>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:25</th>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:40</th>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:50</th>\n",
       "      <td>66</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     r_hr  value\n",
       "2015-12-26 00:00:00    66     63\n",
       "2015-12-26 00:00:10    66     62\n",
       "2015-12-26 00:00:25    66     62\n",
       "2015-12-26 00:00:40    66     66\n",
       "2015-12-26 00:00:50    66     65"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check out the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    481938.000000\n",
       "mean         68.881221\n",
       "std          15.154213\n",
       "min          39.000000\n",
       "25%          57.000000\n",
       "50%          65.000000\n",
       "75%          79.000000\n",
       "max         180.000000\n",
       "Name: value, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['value'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    481938.000000\n",
       "mean         56.751709\n",
       "std           3.489116\n",
       "min          51.000000\n",
       "25%          54.000000\n",
       "50%          56.000000\n",
       "75%          59.000000\n",
       "max          66.000000\n",
       "Name: r_hr, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['r_hr'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10d958810>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GAAAAAMQeyTEAAAAAIPZIjgEAAAAAsUdyDAAAAACIPZJjAAAAAEDskRwDAAAAAGKP5BgA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ETDis4WS3XMAvsVg4pRdpZbhTL/cIV8HDohwfbo6iBIUO6gPhK6tM4W5ZoNSLP4zDoT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\nRERERE6PxTERERERERE5vf8PCgrtOOg5Zr4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113a56bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Time series\n",
    "df['value'].plot(title=\"All my heart beats...\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### It's a little bit messy...\n",
    "Maybe aggregation will help."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x10d9584d0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Cw4cP448//sCECRPqXALk4YcfxpYtW7Bq1SpMnDhR9eV03rx5OHr0KB588EGkpqYiKytL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\nldcc5WO4bcZ6iAV0Etlrlyuj83RfYy44cLjcYOntCT6MHqc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TrdUbkrOy3G4rsdPMso/p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vYaBEHYl1lSDZbFG7HDdRJJTsYr7qO40oKLz2Euiu/WbkKzVIPPBM+AR6e5h9/6MkZD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\nAMB0FJ8AAAAAANNRfAIAAAAATPf/iOMFSczJHKkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d958750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Resample to day using mean\n",
    "dfrsmpl = df.resample('D', how='mean')\n",
    "\n",
    "dfrsmpl.plot(\n",
    "    title=\"Daily average heart rate and resting heart rate\",\n",
    "    colormap='winter',\n",
    "    lw=3)\n",
    "\n",
    "plt.legend(labels=['Resting Heart Rate', 'Mean Heart Rate'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Much Better!\n",
    "\n",
    "Let's check the distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x122790f90>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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UKpUsWLAgM2bMSJLs3r07q1evzrFjxzJz5swsWLAgSXL8+PGsXLkyu3fvTrVaTW9vb8aN\nG9eowwUAAOAi0fAz1fv27cv3vve9/NVf/VUeeeSRnDhxIv/8z/+cDRs25LrrrktfX196enqyfv36\nJMkLL7yQrVu3ZtmyZVmyZEnWrFmTkydPJknWrFmTRYsWpa+vL3v27Mn27duTJBs3bkx7e3uWL1+e\nO++8M2vXrm3Y8QIAAHDxaHhUv/Wtb01ra2teeeWVnDhxIkePHk1nZ2e2bduWOXPmJEluvvnm9Pf3\nJ0m2bduWm266KZVKJRMmTMjEiROza9euHDhwIEeOHEl3d3eSZPbs2fV9+vv76/d1ww03ZMeOHQ04\nUgAAAC42Db/8u729PXPnzs29996bt7zlLZk+fXqmT5+egwcPpqOjI0nS0dGRgwcPJklqtVquueaa\n+v6dnZ2p1WqpVCrp6uqqb+/q6kqtVqvvc+p9o0aNypgxY3L48OG0t7dfqMMEAADgItTwM9X//d//\nne985ztZvXp1vvzlL+dXv/pVnn766dd8XEtLy3n7nKcuFwcAAIBz0fAz1c8//3x+8zd/s37W+Ld/\n+7fzH//xH+no6MiBAwfqf48dOzbJq2em9+/fX99/YGAgnZ2d6ezszMDAwGu2n9rn1O3BwcEcOXLk\njGepd+7cmZ07d9Zvz58/P9VqdViOm+E3evRo63cWv6o0/CHg9Z2/n6MNi0qlNW3+fZ2R773mZv2a\nl7VrbtavuVm/5vbkk0/W3+7p6UlPT88b2r/h/6OeNGlS1q1bl6NHj+aSSy7Jjh07MmXKlFx66aXZ\nvHlz5s2bl82bN2fWrFlJklmzZmX58uWZO3duarVa9u7dm+7u7rS0tKStrS27du3KlClTsmXLltx+\n++31fZ566qlMnTo1W7duzbRp0844y5m+gIcOHRreLwDDplqtWr+zqJw43ugRXt8Iv6DkxInj/n29\nDt97zc36NS9r19ysX3Ozfs2rWq1m/vz553QfDY/qq666KnPmzMn999+fUaNG5aqrrsq73/3uvPLK\nK1m2bFk2bdqU8ePHp7e3N0kyefLk3Hjjjent7U1ra2sWLlxYvzT8nnvuyapVq+ovqXX99dcnSW69\n9dasWLEi9913X6rVahYvXtyw4wUAAODi0XLSLxj/Wi+++GKjR6CQnxieXeX5H+foFz/d6DHO6NJP\nfDavPPrZRo/xukbf/1BOTPmtRo8xIvnea27Wr3lZu+Zm/Zqb9WtekyZNOuf7aPgTlQEAAECzEtUA\nAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMA\nAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAA\nAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAA\nFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUAAABQ\nSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMAAEAh\nUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVE\nNQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLV\nAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQD\nAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIWGHNXf/e5389JLLw3nLAAAANBUWof6\ngc8880y+8Y1vpKenJ7Nnz8673vWuXHLJJcM5GwAAAIxoQ47qT33qUzl06FD+5V/+Jd/5znfy+OOP\n53d+53cye/bsXHvttcM5IwAAAIxIQ47qJKlWq3nPe96T97znPfnZz36WlStXZtOmTRk3blxuu+22\n3HHHHbn00kuHa1YAAAAYUd5QVCfJjh078vTTT6e/vz9XX311/viP/zgTJkzId77znTz44IP5/Oc/\nPxxzAgAAwIgz5Kj+2te+ln/9139NW1tbZs+enaVLl6azs7P+/u7u7tx9993DMiQAAACMREOO6mPH\njuVP//RP093dfeY7am3NF7/4xfM2GAAAAIx0Q47qu+66K6NHjz5t2+HDh3P06NH6Gesrrrji/E4H\nAAAAI9iQX6f64YcfTq1WO21brVbLI488ct6HAgAAgGYw5Kh+8cUXc+WVV5627corr8zPf/7z8z4U\nAAAANIMhR/Xb3va27N2797Rte/fuTbVaPe9DAQAAQDMY8u9U33LLLVm6dGk++MEP5vLLL8/evXvz\nxBNP5NZbbx3O+QAAAGDEGnJUz5s3L62trfn617+egYGBdHV15dZbb83cuXOHcz4AAAAYsYYc1aNG\njcp73/vevPe97x3OeQAAAKBpDDmqk1efrOynP/1pXnnlldO2uwQcAACAN6MhR/W3v/3trFu3Lm9/\n+9vzlre85bT3iWoAAADejIYc1d/97nfz4IMP5u1vf/twzgMAAABNY8gvqTV69OhcccUVwzkLAAAA\nNJUhR/Uf/MEf5O/+7u/yy1/+MoODg6f9AQAAgDejIV/+vXr16iTJ9773vde874knnjh/EwEAAECT\nGHJUr1y5cjjnAAAAgKYz5KgeP358kmRwcDAHDx7MZZddNmxDAQAAQDMYclT/z//8T9asWZN/+7d/\nS2tra77+9a9n27Zt2bVrVz74wQ8O54wAAAAwIg05qh9//PGMGTMmq1evzic/+ckkyTXXXJOvfe1r\n5xzVL7/8cv76r/86//Vf/5WWlpZ87GMfy8SJE/Poo49m3759mTBhQnp7e9PW1pYkWb9+fTZt2pRK\npZIFCxZkxowZSZLdu3dn9erVOXbsWGbOnJkFCxYkSY4fP56VK1dm9+7dqVar6e3tzbhx485pZgAA\nABjys3/v2LEjd99992mXfb/tbW/LwYMHz3mIv//7v8/MmTOzbNmyPPzww7niiiuyYcOGXHfddenr\n60tPT0/Wr1+fJHnhhReydevWLFu2LEuWLMmaNWty8uTJJMmaNWuyaNGi9PX1Zc+ePdm+fXuSZOPG\njWlvb8/y5ctz5513Zu3atec8MwAAAAw5qtva2nLo0KHTtu3fv/+cf7f65ZdfznPPPZdbbrklSVKp\nVNLW1pZt27Zlzpw5SZKbb745/f39SZJt27blpptuSqVSyYQJEzJx4sTs2rUrBw4cyJEjR9Ld3Z0k\nmT17dn2f/v7++n3dcMMN2bFjxznNDAAAAMkbuPz7tttuy9KlS/PBD34wJ0+ezE9+8pN84xvfyO/9\n3u+d0wC/+MUvUq1Ws3r16vzsZz/L1VdfnQULFuTgwYPp6OhIknR0dNTPiNdqtVxzzTX1/Ts7O1Or\n1VKpVNLV1VXf3tXVlVqtVt/n1PtGjRqVMWPG5PDhw2lvbz+n2QEAAHhzG3JUv+9978vo0aPzt3/7\ntzlx4kQee+yxvPvd784dd9xxTgMMDg7mP//zP3PPPfdkypQp+cpXvpINGza85uNaWlrO6fP8b6cu\nFwcAAIBzMeSobmlpyR133HHOEf1/dXZ2pqurK1OmTEny6uXZGzZsSEdHRw4cOFD/e+zYsfWP379/\nf33/gYGBdHZ2prOzMwMDA6/ZfmqfU7cHBwdz5MiRM56l3rlzZ3bu3Fm/PX/+/FSr1fN6vFw4o0eP\ntn5n8avKkB8CLrzz93O0YVGptKbNv68z8r3X3Kxf87J2zc36NTfr19yefPLJ+ts9PT3p6el5Q/sP\n+X/UzzzzzOu+b9q0aW/ok/5vHR0d6erqyosvvphJkyZlx44dmTx5ciZPnpzNmzdn3rx52bx5c2bN\nmpUkmTVrVpYvX565c+emVqtl79696e7uTktLS9ra2rJr165MmTIlW7Zsye23317f56mnnsrUqVOz\ndevW1533TF/A//t75DSParVq/c6icuJ4o0d4fSP8gpITJ4779/U6fO81N+vXvKxdc7N+zc36Na9q\ntZr58+ef030MOaofe+yx026/9NJLOX78eLq6urJy5cpzGuLuu+/OihUrcvz48Vx++eW59957Mzg4\nmGXLlmXTpk0ZP358ent7kySTJ0/OjTfemN7e3rS2tmbhwoX1S8PvueeerFq1qv6SWtdff32S5NZb\nb82KFSty3333pVqtZvHixec0LwAAACRJy8nCXzAeHBzMunXr8ta3vjVz584933ONGC+++GKjR6CQ\nnxieXeX5H+foFz/d6DHO6NJPfDavPPrZRo/xukbf/1BOTPmtRo8xIvnea27Wr3lZu+Zm/Zqb9Wte\nkyZNOuf7KP6FylGjRuX9739/Fi1adFFHNcCZtLS2pvL8jxs9xpl1js+Jy8Y1egoAgDeFc3qWon//\n93/PqFFDfqlrgIvHoZdytO9zjZ7ijEbf/1AiqgEALoghR/XHPvax024fPXo0R48ezcKFC8/7UAAA\nANAMhhzVH//4x0+7/Za3vCUTJ05MW1vbeR8KAAAAmsGQo/raa68dzjkAAACg6Qw5qlesWFF/6apf\n50/+5E/OaSAAAABoFkN+lrExY8akv78/g4OD6ezszODgYPr7+9PW1pbLL7+8/gcAAADeLIZ8pnrP\nnj25//7781u/9f+/Lutzzz2XdevW5Y/+6I+GZTgAAAAYyYZ8pvonP/lJpk6detq27u7u/OQnPznv\nQwEAAEAzGHJU/8Zv/Ea+8Y1v5OjRo0lefUmtb37zm7nqqquGazYAAAAY0YZ8+fe9996b5cuX56Mf\n/Wja29tz+PDhTJkyJffdd99wzgcAAAAj1pCjesKECfmLv/iL7N+/P7/85S9z2WWXZdy4ccM5GwAA\nAIxoQ778O0kOHTqUZ599Ns8++2zGjRuXWq2WgYGB4ZoNAAAARrQhR/Wzzz6bT3ziE3n66aezbt26\nJMnevXvz+OOPD9twAAAAMJINOaq/8pWv5BOf+EQeeOCBVCqVJK8++/fzzz8/bMMBAADASDbkqN63\nb1+uu+6607a1trbmxIkT530oAAAAaAZDjurJkydn+/btp23bsWNHrrzyyvM+FAAAADSDIT/790c+\n8pE89NBDmTlzZo4ePZq/+Zu/yfe///382Z/92XDOBwAAACPWkKP6mmuuycMPP5ynn346l156acaN\nG5cHH3wwXV1dwzkfAAAAjFhDiurBwcF8/vOfzwMPPJD3ve99wz0TAAAANIUh/U71qFGj8otf/CIn\nT54c7nkAAACgaQz5ico+8IEP5PHHH8++ffsyODh42h8AAAB4Mxry71R/+ctfTpJs2bLlNe974okn\nzt9EAAAA0CTOGtUHDhxIR0dHVq5ceSHmAQAAgKZx1su/Fy9enCQZP358xo8fn69+9av1t0/9AQAA\ngDejs0b1/31ysp07dw7bMAAAANBMzhrVLS0tF2IOAAAAaDpn/Z3qEydO5JlnnqnfHhwcPO12kkyb\nNu38TwYAAAAj3FmjeuzYsXnsscfqt9vb20+73dLS4knMAAAAeFM6a1SvWrXqQswBAAAATeesv1MN\nAAAAnNlZz1QD56byy/1JbV+jxzijluPHGj0CAAA0NVENw622L0e/+OlGT3FGb1n8/xo9AgAANDWX\nfwMAAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFR\nDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1\nAAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUA\nAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUKi10QMAcH61tLam8vyPG/b5f1VpTeXE8df/gM7x\nOXHZuAs3EADAMBLVABebQy/laN/nGj3F6xp9/0OJqAYALhIu/wYAAIBCohoAAAAKiWoAAAAoJKoB\nAACgkKjSVuSlAAAcgklEQVQGAACAQqIaAAAAColqAAAAKCSqAQAAoJCoBgAAgEKiGgAAAAqJagAA\nACgkqgEAAKCQqAYAAIBCohoAAAAKiWoAAAAoJKoBAACgkKgGAACAQqIaAAAAColqAAAAKCSqAQAA\noJCoBgAAgEKtjR4AgDeXltbWVJ7/caPHOLPO8Tlx2bhGTwEANBFRDcCFdeilHO37XKOnOKPR9z+U\niGoA4A1w+TcAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVE\nNQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUam30AKcMDg5myZIl6ezszKc//ekcPnw4jz76\naPbt25cJEyakt7c3bW1tSZL169dn06ZNqVQqWbBgQWbMmJEk2b17d1avXp1jx45l5syZWbBgQZLk\n+PHjWblyZXbv3p1qtZre3t6MGzeuUYcKAADARWLEnKn+7ne/myuuuKJ+e8OGDbnuuuvS19eXnp6e\nrF+/PknywgsvZOvWrVm2bFmWLFmSNWvW5OTJk0mSNWvWZNGiRenr68uePXuyffv2JMnGjRvT3t6e\n5cuX584778zatWsv/AECAABw0RkRUT0wMJAf/vCHue222+rbtm3bljlz5iRJbr755vT399e333TT\nTalUKpkwYUImTpyYXbt25cCBAzly5Ei6u7uTJLNnz67v09/fX7+vG264ITt27LiQhwcAAMBFakRE\n9Ve/+tV85CMfSUtLS33bwYMH09HRkSTp6OjIwYMHkyS1Wu20S7c7OztTq9VSq9XS1dVV397V1ZVa\nrVbf59T7Ro0alTFjxuTw4cPDflwAAABc3Boe1T/4wQ8yduzYXHXVVfXLuM/kfwf3ufp1nwcAAACG\nquFPVPbcc89l27Zt+eEPf5ijR4/myJEjWbFiRTo6OnLgwIH632PHjk3y6pnp/fv31/cfGBhIZ2dn\nOjs7MzAw8Jrtp/Y5dXtwcDBHjhxJe3v7a2bZuXNndu7cWb89f/78VKvV4Tp0htno0aNHxPr9qtLw\nb7PXdT5/WHXejeDRkpH9tRvJsyUje75KpTVtI+Bxo5FGymMnb5y1a27Wr7lZv+b25JNP1t/u6elJ\nT0/PG9q/4f/b/9CHPpQPfehDSZJnn302//iP/5iPf/zjWbt2bTZv3px58+Zl8+bNmTVrVpJk1qxZ\nWb58eebOnZtarZa9e/emu7s7LS0taWtry65duzJlypRs2bIlt99+e32fp556KlOnTs3WrVszbdq0\nM85ypi/goUOHhvHoGU7VanVErF/lxPFGj/C6RvRVGyN4tGRkf+1G8mzJyJ7vxInjI+Jxo5FGymMn\nb5y1a27Wr7lZv+ZVrVYzf/78c7qPhkf165k3b16WLVuWTZs2Zfz48ent7U2STJ48OTfeeGN6e3vT\n2tqahQsX1s963HPPPVm1alX9JbWuv/76JMmtt96aFStW5L777ku1Ws3ixYsbdlwAAABcPEZUVF97\n7bW59tprkyTt7e35zGc+c8aPu+uuu3LXXXe9ZvvVV1+dpUuXvmb7JZdckk9+8pPnd1gAAADe9Br+\nRGUAAADQrEQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACF\nRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS\n1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhU\nAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVEN\nAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABRqbfQAADBStLS2pvL8jxs9xpl1js+J\ny8Y1egoA4P8Q1QBwyqGXcrTvc42e4oxG3/9QIqoBYMRx+TcAAAAUEtUAAABQSFQDAABAIVENAAAA\nhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAU\nEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBI\nVAMAAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFR\nDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1\nAAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUEtUA\nAABQSFQDAABAIVENAAAAhUQ1AAAAFBLVAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFCotdED\nDAwMZOXKlTl48GBaWlpy22235Y477sjhw4fz6KOPZt++fZkwYUJ6e3vT1taWJFm/fn02bdqUSqWS\nBQsWZMaMGUmS3bt3Z/Xq1Tl27FhmzpyZBQsWJEmOHz+elStXZvfu3alWq+nt7c24ceMadcgAAABc\nJBp+prpSqeSjH/1ovvSlL+Uv//Iv80//9E/5+c9/ng0bNuS6665LX19fenp6sn79+iTJCy+8kK1b\nt2bZsmVZsmRJ1qxZk5MnTyZJ1qxZk0WLFqWvry979uzJ9u3bkyQbN25Me3t7li9fnjvvvDNr165t\n2PECAABw8Wh4VHd0dOSqq65Kklx66aW54oorMjAwkG3btmXOnDlJkptvvjn9/f1Jkm3btuWmm25K\npVLJhAkTMnHixOzatSsHDhzIkSNH0t3dnSSZPXt2fZ/+/v76fd1www3ZsWPHBT5KAAAALkYNj+r/\n7Re/+EV+9rOf5ZprrsnBgwfT0dGR5NXwPnjwYJKkVquddul2Z2dnarVaarVaurq66tu7urpSq9Xq\n+5x636hRozJmzJgcPnz4Qh0WAAAAF6kRE9WvvPJKvvSlL2XBggW59NJLX/P+lpaW8/a5Tl0uDgAA\nAOei4U9UliQnTpzI0qVLM3v27LzrXe9K8urZ6QMHDtT/Hjt2bJJXz0zv37+/vu/AwEA6OzvT2dmZ\ngYGB12w/tc+p24ODgzly5Eja29tfM8fOnTuzc+fO+u358+enWq0OyzEz/EaPHj0i1u9XlRHxbXZG\n5/OHVefdCB4tGdlfu5E8WzKy5xvJs1UqrWm7AI9pI+WxkzfO2jU369fcrF9ze/LJJ+tv9/T0pKen\n5w3tPyL+t//YY49l8uTJueOOO+rb3vnOd2bz5s2ZN29eNm/enFmzZiVJZs2aleXLl2fu3Lmp1WrZ\nu3dvuru709LSkra2tuzatStTpkzJli1bcvvtt9f3eeqppzJ16tRs3bo106ZNO+McZ/oCHjp0aJiO\nmuFWrVZHxPpVThxv9Aiva0RftTGCR0tG9tduJM+WjOz5RvJsJ04cvyCPaSPlsZM3zto1N+vX3Kxf\n86pWq5k/f/453UfDo/q5557L008/nSuvvDKf+tSn0tLSkj/8wz/MvHnzsmzZsmzatCnjx49Pb29v\nkmTy5Mm58cYb09vbm9bW1ixcuLB+ZuGee+7JqlWr6i+pdf311ydJbr311qxYsSL33XdfqtVqFi9e\n3LDjBQAA4OLR8Kh+xzvekSeeeOKM7/vMZz5zxu133XVX7rrrrtdsv/rqq7N06dLXbL/kkkvyyU9+\n8twGBQAAgP9jxDxRGQAAADQbUQ0AAACFRDUAAAAUEtUAAABQSFQDAABAIVENAAAAhUQ1AAAAFBLV\nAAAAUEhUAwAAQCFRDQAAAIVENQAAABQS1QAAAFBIVAMAAEAhUQ0AAACFRDUAAAAUam30AADA2bW0\ntqby/I+H/fP8qtKayonjb3zHzvE5cdm48z8QAIxwohoAmsGhl3K073ONnuJ1jb7/oURUA/Am5PJv\nAAAAKCSqAQAAoJCoBgAAgEKiGgAAAAqJagAAACgkqgEAAKCQqAYAAIBCohoAAAAKiWoAAAAoJKoB\nAACgkKgGAACAQqIaAAAAColqAAAAKCSqAQAAoJCoBgAAgEKiGgAAAAqJagAAACgkqgEAAKCQqAYA\nAIBCohoAAAAKiWoAAAAoJKoBAACgkKgGAACAQqIaAAAAColqAAAAKCSqAQAAoJCoBgAAgEKiGgAA\nAAqJagAAACgkqgEAAKCQqAYAAIBCohoAAAAKiWoAAAAoJKoBAACgkKgGAACAQqIaAAAAColqAAAA\nKCSqAQAAoJCoBgAAgEKiGgAAAAr9f+3dfUyV9f/H8dc5B0QUv9IBKZXhHampo2belDbybnNRf1gr\nrJwJxW8/A7phptZcadOcllIUSqY2LcxlW6AuWq4pm9os8aalaAap8xYElC+KiIfz+f3hz5PUAe1S\nO+eK52Nzk+tcnvM+vAacl9eHz6FUAwAAAABgEaUaAAAAAACLKNUAAAAAAFhEqQYAAAAAwCJKNQAA\nAAAAFlGqAQAAAACwiFINAAAAAIBFlGoAAAAAACyiVAMAAAAAYBGlGgAAAAAAiyjVAAAAAABYRKkG\nAAAAAMAiSjUAAAAAABZRqgEAAAAAsIhSDQAAAACARZRqAAAAAAAsolQDAAAAAGARpRoAAAAAAItC\nAj0AAACwP0dIiFzlBwI9hn/uLmq6IzrQUwAA/qUo1QAA4ObV/VeNOW8Hegq/2r2+UKJUAwBuE5Z/\nAwAAAABgEVeqYXsh1ZUyFSf+cvySyyVXU1MAJvqDM/pOeQM6AQAAAIDbiVIN2zM1Z9T4/uxAj+FX\n6NP/I0fP+ECPAQAAAOA2Yfk3AAAAAAAWUaoBAAAAALCIUg0AAAAAgEWUagAAAAAALKJUAwAAAABg\nEaUaAAAAAACLKNUAAAAAAFhEqQYAAAAAwCJKNQAAAAAAFlGqAQAAAACwiFINAAAAAIBFlGoAAAAA\nACyiVAMAAAAAYBGlGgAAAAAAiyjVAAAAAABYRKkGAAAAAMCikEAPAAAAcDs5QkLkKj8Q6DH8c3dR\n0x3RgZ4CAHATKNUAAODfre6/asx5O9BT+NXu9YUSpRoAbI3l3wAAAAAAWESpBgAAAADAIko1AAAA\nAAAWUaoBAAAAALCIjcoAAAAC5FbuTH7JFSJXk+eW3JcPu5MDwHW1qVK9d+9erVq1SsYYjR49WhMm\nTAj0SAAAoC0L4p3JJXYnB4Ab0WaWf3u9Xq1cuVKzZs3S4sWLtX37dp04cSLQYwEAAAAAbKzNXKku\nKytT165d1aVLF0nSyJEjtXPnTnXv3j3AkwEAAASnW7k8/VZzdOwkc6Eu0GP4ZWW227J8vyUs6wdu\nqTZTqmtqahQVFeX72O12q6ysLIATAQAABLkgXp4e9spsZrOIZf3ArdVmSjX+vRyRboU++79/Oe50\nOOQ1JgAT/cHVb5C8F+sDOgMAAMC1WIFgEVf40QKHMQFuHf+QQ4cO6auvvtKsWbMkSYWFhZLUbLOy\n/fv3a//+/b6Pk5OT/9khAQAAAAD/qHXr1vn+PnDgQA0cOPBv/fs2s1FZfHy8Tp8+rTNnzsjj8Wj7\n9u0aMmRIs3MGDhyo5ORk359rP7mwH/KzN/KzL7KzN/KzL7KzN/KzN/Kzr3Xr1jXrgH+3UEttaPm3\n0+nUCy+8oHnz5skYozFjxig2NjbQYwEAAAAAbKzNlGpJuu+++5STkxPoMQAAAAAA/xKuOXPmzAn0\nEMEsJiYm0CPgJpCfvZGffZGdvZGffZGdvZGfvZGffd1sdm1mozIAAAAAAG61NrNRGQAAAAAAtxql\nGgAAAAAAi9rURmWtqa6uVm5urmpra+VwODR27FglJSXp/Pnz+uCDD3TmzBnFxMQoKytLHTp0CPS4\n8MPr9eqNN96Q2+3WzJkzyc5G6uvr9fHHH+vYsWNyOBx68cUX1bVrV/KziYKCAm3dulVOp1NxcXFK\nT09XQ0MD+QWhvLw87d69W507d9aiRYskqdXvlQUFBdqyZYtcLpdSUlJ07733BnL8Ns9ffvn5+dq1\na5dCQkJ05513Kj09nfyClL/8rtq4caPy8/O1cuVKRURESCK/YNJSdt9++602bdokp9OpwYMHa9Kk\nSZLILtj4y6+srEwrV65UU1OTXC6X0tLS1KdPH0kW8zMwxhhz9uxZc/jwYWOMMRcvXjQvv/yyOX78\nuPn8889NYWGhMcaYgoICk5+fH8Ap0ZqNGzeanJwcs2DBAmOMITsbyc3NNZs3bzbGGOPxeMyFCxfI\nzyYqKytNRkaGuXz5sjHGmOzsbLNlyxbyC1IHDhwwhw8fNtOmTfMdaymrY8eOmenTpxuPx2MqKipM\nZmam8Xq9AZkbV/jL7+effzZNTU3GGGPy8/PNmjVrjDHkF4z85WeMMVVVVWbevHkmPT3d1NXVGWPI\nL9j4y27fvn1m7ty5xuPxGGOMqa2tNcaQXTDyl9+cOXPM3r17jTHG7N6928yZM8cYYz0/ln//v8jI\nSPXs2VOS1L59e3Xv3l3V1dUqKSnRww8/LEkaNWqUdu7cGcAp0ZLq6mrt2bNHY8eO9R0jO3uor6/X\nwYMHNXr0aEmSy+VShw4dyM8mwsPDFRISooaGBjU1NamxsVFut5v8glT//v3VsWPHZsdayqqkpEQj\nRoyQy+VSTEyMunbtqrKysn98ZvzBX34JCQlyOq+8nLv77rtVXV0tifyCkb/8JGn16tWaPHlys2Pk\nF1z8Zbdp0yZNmDBBLpdLkvSf//xHEtkFI3/5RUZGqr6+XpJ04cIF3XHHHZKs58fybz8qKyt19OhR\n9e3bV7W1tYqMjJR05ZNfW1sb4Ongz9UfSFe/OCSRnU1UVlaqU6dOWrp0qY4eParevXsrJSWF/Gwi\nIiJCjz32mNLT0xUWFqaEhAQlJCSQn420lFVNTY369u3rO8/tdqumpiYgM+LGbNmyRSNHjpREfnZR\nUlKiqKgoxcXFNTtOfsHv1KlTKi0t1dq1a9WuXTtNnjxZvXv3JjubmDRpkt5880199tlnkqS5c+dK\nsv61x5XqP2loaFB2drZSUlLUvn37v9zucDgCMBVac/V3JHr27CnTyjvEkV1w8nq9Onz4sMaPH6+F\nCxcqLCxMhYWFfzmP/IJTRUWFvvnmGy1dulTLli3TpUuXtHXr1r+cR372QVb29PXXX8vlcumhhx4K\n9Ci4QY2NjSooKFBycnKgR4EFTU1NunDhgt555x1NmjRJ2dnZgR4Jf0NeXp5SU1OVl5enKVOmKC8v\n76buj1J9jaamJi1evFiJiYkaOnSopCv/a3/u3DlJ0rlz59S5c+dAjgg/Dh48qJKSEmVmZionJ0f7\n9u3TRx99RHY24Xa7FRUV5dsc4oEHHtDhw4fJzybKy8vVr18/RUREyOl0atiwYfr111/Jz0Zaysrt\ndquqqsp3XnV1tdxud0BmROuKi4u1Z88evfLKK75j5Bf8Tp8+rcrKSk2fPl0ZGRmqqanRzJkzVVtb\nS342EB0dreHDh0uS4uPj5XQ6VVdXR3Y2UVZWpmHDhkm68tqzvLxckvXvnZTqa+Tl5Sk2NlZJSUm+\nY/fff7+Ki4slXfmhNWTIkABNh5Y8++yzysvLU25url599VUNGjRIL730EtnZRGRkpKKionTy5ElJ\n0i+//KLY2Fjys4lu3brpt99+U2Njo4wx5GcDxphmq3paymrIkCH64Ycf5PF4VFlZqdOnTys+Pj4Q\nI+Maf85v79692rBhg2bMmKHQ0FDfcfILTtfmFxcXp+XLlys3N1dLliyR2+3WwoUL1blzZ/ILQn/+\n2hs6dKj27dsnSTp58qQ8Ho86depEdkHqz/ndddddKi0tlXTltWfXrl0lWf/e6TCtrZdtQw4ePKjZ\ns2crLi5ODodDDodDzzzzjOLj4/X++++rqqpKXbp0UVZWlt9NJhAcSktLtXHjRt9bapGdPRw5ckTL\nli2Tx+PxvSWM1+slP5vYsGGDiouL5XQ61bNnT02dOlUNDQ3kF4RycnJUWlqquro6de7cWcnJyRo6\ndGiLWRUUFGjz5s0KCQnhbWGCgL/8CgoKfC/mpSublaWlpUkiv2DjL7+rm3RKUmZmphYsWNDsLbXI\nLzj4yy4xMVFLly7VkSNHFBoaqueee04DBgyQRHbBxl9+PXr00IoVK+TxeBQaGqq0tDT16tVLkrX8\nKNUAAAAAAFjE8m8AAAAAACyiVAMAAAAAYBGlGgAAAAAAiyjVAAAAAABYRKkGAAAAAMAiSjUAAAAA\nABZRqgEAAAAAsIhSDQBAEMnIyNC+ffuaHSsuLtZbb7112x5z4sSJqqioaPH24uJiPf3005oyZYpS\nUlI0ffp0/fTTTzd8/0uXLtWXX355K0YFACDoUKoBALABh8Nxy+/T6/Xe8Ln9+vXT6tWrtWrVKo0f\nP145OTk6f/78LZ8JAAC7CQn0AAAA4O85e/asPv30Ux04cEDh4eFKSkrSI488IkkqKyvTqlWrdOLE\nCbVr107Dhw/XlClT5HK5JF25Kv3888+rqKhIXq9XbrdbkvTaa6/J6XRq6tSpevDBB1t9/MTERC1f\nvlwVFRWKiIiQJGVnZ+vgwYO6fPmyevToobS0NMXGxur777/X1q1b5XQ6VVRUpIEDB2rGjBmtPgcA\nAOyEUg0AgI0YY7Rw4UINGzZMWVlZqqqq0ty5c9W9e3clJCTI6XQqJSVFffr0UXV1tebPn6/vvvtO\nSUlJvvsoKSnR/Pnz1a5dO4WGhmrixIlavHixYmJirvv4Xq9XmzdvVocOHdStWzff8cGDBysjI0Mu\nl0tr1qzRhx9+qHfffVfjxo3ToUOHFBUVpYkTJ97QcwAAwE4o1QAABJn33ntPTucfv6Hl8XjUu3dv\nSVeuRNfV1emJJ56QJMXExGjs2LHavn27EhISfOdJUnR0tMaNG6fS0tJmpfrxxx9Xx44dmz2mMabV\nmQ4dOqTU1FQ1NDQoJCREs2bNUnh4uO/2UaNG+f7+5JNPqqioSBcvXmx2zlXl5eWtPgcAAOyEUg0A\nQJCZPn26Bg0a5Pu4uLhYW7ZskSRVVVWppqZGqampvtu9Xq/uueceSdKpU6e0evVq/f7772psbFRT\nU1Ozoi3Jt+T77+jbt6/efvttXbp0SXl5eVq/fr369+/ve/y1a9dqx44dqqur8/3+d11dnd9SfebM\nmVafAwAAdkKpBgDARqKiohQTE6OcnBy/t69YsUK9evVSVlaWwsLCVFRUpB9//LHZOTez6VlYWJjS\n0tKUkZGh0tJSDRgwQNu2bdOuXbs0e/ZsRUdHq76+XqmpqS1e/b7ecwAAwE7Y/RsAABuJj49XeHi4\n1q9fr8bGRnm9Xh07dkzl5eWS5FtyHRYWphMnTmjTpk3Xvc/IyMhW31LrzyIiIjRu3DgVFhZKkhoa\nGhQaGqqOHTuqoaFBX3zxRav3f73nAACAnVCqAQAIIte7iux0OvX666/ryJEjyszMVFpampYtW6aL\nFy9KkiZPnqxt27ZpypQp+uSTTzRixIjrPuZTTz2lJUuWKDU1VTt27LihOR999FHt379fR48eVWJi\noqKiojR16lRNmzZNffv2bXbumDFjdPz4caWmpmrRokXXfQ4AANiJw1xvZxIAAAAAAOAXV6oBAAAA\nALCIUg0AAAAAgEWUagAAAAAALKJUAwAAAABgEaUaAAAAAACLKNUAAAAAAFhEqQYAAAAAwCJKNQAA\nAAAAFlGqAQAAAACw6P8AcygEEUbM1aIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1226a5b50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lets plot a histogram of the data\n",
    "ax = df['value'].plot(kind=\"hist\", bins=20)\n",
    "ax.set_xlabel(\"Heart Rate\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How do days of the week differ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# List of days for label purposes\n",
    "weekdays = [\n",
    "    \"Monday\",\n",
    "    \"Tuesday\",\n",
    "    \"Wednesday\",\n",
    "    \"Thursday\",\n",
    "    \"Friday\",\n",
    "    \"Saturday\",\n",
    "    \"Sunday\",\n",
    "]\n",
    "\n",
    "# Index by the day of week. Monday = 0 Sunday = 6\n",
    "dfdayofwk = df.set_index(df.index.dayofweek)\n",
    "\n",
    "# Then group by the day of the week using the mean\n",
    "grpdayofwk = dfdayofwk.groupby(dfdayofwk.index).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>r_hr</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>57.456661</td>\n",
       "      <td>70.542957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>56.858388</td>\n",
       "      <td>68.523445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>56.614309</td>\n",
       "      <td>67.947243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56.596932</td>\n",
       "      <td>68.316851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>55.798861</td>\n",
       "      <td>67.761636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>57.066040</td>\n",
       "      <td>69.992247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>56.854150</td>\n",
       "      <td>68.963509</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        r_hr      value\n",
       "0  57.456661  70.542957\n",
       "1  56.858388  68.523445\n",
       "2  56.614309  67.947243\n",
       "3  56.596932  68.316851\n",
       "4  55.798861  67.761636\n",
       "5  57.066040  69.992247\n",
       "6  56.854150  68.963509"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets take a look to check\n",
    "grpdayofwk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x12215c3d0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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AAAAAoFguhdi0tDTNnz9fFSpUcHc9AAAAAACUyKV7Ym+/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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121194d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lets work on the ax object returned by Pandas.DataFrame.plot()\n",
    "ax = grpdayofwk.plot(\n",
    "    kind=\"bar\",\n",
    "    title=\"Daily average heart rate and resting heart rate\",\n",
    "    xlim=(0, 7),\n",
    "    ylim=(60, 75),\n",
    "    colormap='winter')\n",
    "\n",
    "# It makes it easy to set custom params\n",
    "ax.set_xticks(grpdayofwk.index)\n",
    "ax.set_xticklabels(weekdays)\n",
    "ax.set_xlabel(\"Day of week\")\n",
    "ax.set_ylabel(\"Mean Heart Rate\")\n",
    "ax.legend(labels=['Resting Heart Rate', 'Mean Heart Rate'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### So Monday appears to be the day that my heart rate is highest on average.\n",
    "\n",
    "We can check this for statistical difference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Lets make all non-mondays a 1\n",
    "dfdayofwk.index = dfdayofwk.index.map(lambda x: \"other\" if x > 0 else \"monday\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>r_hr</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>66</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>66</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       r_hr  value\n",
       "other    66     63\n",
       "other    66     62\n",
       "other    66     62\n",
       "other    66     66\n",
       "other    66     65"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# And check the new index\n",
    "dfdayofwk.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "other     416535\n",
       "monday     65403\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets check the number of days looks right\n",
    "dfdayofwk.index.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>r_hr</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>monday</th>\n",
       "      <td>57.456661</td>\n",
       "      <td>70.542957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>56.641019</td>\n",
       "      <td>68.620301</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             r_hr      value\n",
       "monday  57.456661  70.542957\n",
       "other   56.641019  68.620301"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Then group by the index\n",
    "dfdayofwkgrpd = dfdayofwk.groupby(dfdayofwk.index).mean()\n",
    "dfdayofwkgrpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1218e52d0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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QePPNN2O//far6nJSY0fvux1d32s6MQAAwC568cUXs9NuR40aFYceeqgAW8GE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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122843fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We'll plot it agin to see if the difference is still there...\n",
    "ax = dfdayofwkgrpd['value'].plot(\n",
    "    kind=\"bar\",\n",
    "    title=\"Daily average heart rate and resting heart rate\",\n",
    "    xlim=(0, 1),\n",
    "    ylim=(60, 75),\n",
    "    colormap='winter')\n",
    "\n",
    "# It makes it easy to set custom params\n",
    "ax.set_xticks((0, 1))\n",
    "ax.set_xticklabels([\"Monday\", \"Not Monday\"])\n",
    "ax.set_xlabel(\"Day of week\")\n",
    "ax.set_ylabel(\"Mean Heart Rate\")\n",
    "ax.legend(labels=['Resting Heart Rate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# lets check this difference using stats\n",
    "t, p = stats.ttest_ind(dfdayofwk['value'].loc['monday'], dfdayofwk['value'].loc['other'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30.19305796731139, 4.4980729728481912e-200)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t, p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def check_difference(t, p):\n",
    "    # This was a two-sided t test\n",
    "    # We can reject the null hypothesis of a greater\n",
    "    # than test when p/2 < alpha and t > 0.\n",
    "    # For this test, we use an alpha level of 0.05\n",
    "    if p / 2 < 0.005 and t > 0:\n",
    "        printmd('The mean __is__ significantly greater.')\n",
    "    else:\n",
    "        printmd('The mean is __not__ significantly greater.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "The mean __is__ significantly greater."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "check_difference(t, p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### But what about other weekdays?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def mondays_and_weekdays(x):\n",
    "    if x == 0:\n",
    "        return 0\n",
    "    elif x > 0 and x <= 4:\n",
    "        return 1\n",
    "    else:\n",
    "        return 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Index by the day of week. Monday = 0 Sunday = 6\n",
    "dfdayofwk = df.set_index(df.index.dayofweek)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Lets make all non-mondays a 1 and weekends a 2\n",
    "dfdayofwk.index = dfdayofwk.index.map(mondays_and_weekdays)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    267921\n",
       "2    148614\n",
       "0     65403\n",
       "dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfdayofwk.index.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>r_hr</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>57.456661</td>\n",
       "      <td>70.542957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>56.460572</td>\n",
       "      <td>68.127821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>56.966329</td>\n",
       "      <td>69.508142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        r_hr      value\n",
       "0  57.456661  70.542957\n",
       "1  56.460572  68.127821\n",
       "2  56.966329  69.508142"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Then group by the index\n",
    "dfdayofwkgrpd = dfdayofwk.groupby(dfdayofwk.index).mean()\n",
    "dfdayofwkgrpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1219194d0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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61ad//zXtPQYAAH+jROwnXG1tZcaM6dHeY/AJMmvWm+nfv72nAADgb5XLiQEA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\nAFAaSiwAAAClocQCAABQGv8HssRpCEE89ugAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x120596950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We'll plot it agin to see if the difference is still there...\n",
    "ax = dfdayofwkgrpd['value'].plot(\n",
    "    kind=\"bar\",\n",
    "    title=\"Daily average heart rate\",\n",
    "    xlim=(0, 1),\n",
    "    ylim=(60, 75),\n",
    "    colormap='winter')\n",
    "\n",
    "# It makes it easy to set custom params\n",
    "ax.set_xticks((0, 1, 2))\n",
    "ax.set_xticklabels([\"Monday\", \"Other Weekdays\", \"Weekend\"])\n",
    "ax.set_xlabel(\"Day of week\")\n",
    "ax.set_ylabel(\"Mean Heart Rate\")\n",
    "ax.legend(labels=['Mean Heart Rate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "t, p = stats.ttest_ind(dfdayofwk['value'].ix[0], dfdayofwk['value'].ix[2], equal_var=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13.445209694305113, 3.5461302563722031e-41)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t, p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "The mean is __not__ significantly greater."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "check_difference(p, t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### And how about sub-daily patterns???"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>r_hr</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:00</th>\n",
       "      <td>66</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:10</th>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:25</th>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:40</th>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-26 00:00:50</th>\n",
       "      <td>66</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     r_hr  value\n",
       "2015-12-26 00:00:00    66     63\n",
       "2015-12-26 00:00:10    66     62\n",
       "2015-12-26 00:00:25    66     62\n",
       "2015-12-26 00:00:40    66     66\n",
       "2015-12-26 00:00:50    66     65"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# remind ourselves what our data look like\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# helper columns with hour and dow\n",
    "df['hour'] = df.index.hour\n",
    "df['dow'] = df.index.dayofweek\n",
    "# sum of counts for all combinations\n",
    "df_g = df.groupby(['dow', 'hour']).mean()\n",
    "# take the mean over all dates\n",
    "df_g = df.reset_index().groupby(['dow', 'hour']).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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></th>\n",
       "      <th>r_hr</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dow</th>\n",
       "      <th>hour</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"24\" valign=\"top\">0</th>\n",
       "      <th>0</th>\n",
       "      <td>57.483412</td>\n",
       "      <td>62.071090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>57.477863</td>\n",
       "      <td>56.157634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>57.453755</td>\n",
       "      <td>55.939130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>57.449011</td>\n",
       "      <td>55.342769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57.455987</td>\n",
       "      <td>51.635607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>57.461419</td>\n",
       "      <td>57.854207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>57.847295</td>\n",
       "      <td>76.504072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>57.634970</td>\n",
       "      <td>84.217079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>56.480946</td>\n",
       "      <td>78.798165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>57.269724</td>\n",
       "      <td>79.916934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>57.252639</td>\n",
       "      <td>74.569921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>57.361517</td>\n",
       "      <td>72.711900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>57.187079</td>\n",
       "      <td>70.937772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>57.489489</td>\n",
       "      <td>75.219595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>57.661076</td>\n",
       "      <td>69.424337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>57.614990</td>\n",
       "      <td>67.176331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>57.620515</td>\n",
       "      <td>71.828199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>57.656722</td>\n",
       "      <td>74.869342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>57.511976</td>\n",
       "      <td>83.844644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>57.769114</td>\n",
       "      <td>77.190765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>57.232253</td>\n",
       "      <td>76.092207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>57.350624</td>\n",
       "      <td>78.247660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>57.551540</td>\n",
       "      <td>66.676797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>57.662266</td>\n",
       "      <td>61.997019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">1</th>\n",
       "      <th>0</th>\n",
       "      <td>56.879982</td>\n",
       "      <td>57.135786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>57.032197</td>\n",
       "      <td>56.388731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>56.894943</td>\n",
       "      <td>55.939843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56.895217</td>\n",
       "      <td>53.905217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>56.930807</td>\n",
       "      <td>54.051565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>56.872735</td>\n",
       "      <td>53.776963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">5</th>\n",
       "      <th>18</th>\n",
       "      <td>57.053157</td>\n",
       "      <td>74.562331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>57.133558</td>\n",
       "      <td>74.855219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>57.007407</td>\n",
       "      <td>72.088604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>57.146403</td>\n",
       "      <td>67.385171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>57.183890</td>\n",
       "      <td>64.677802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>56.916105</td>\n",
       "      <td>64.364054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"24\" valign=\"top\">6</th>\n",
       "      <th>0</th>\n",
       "      <td>57.020221</td>\n",
       "      <td>59.693382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>56.862977</td>\n",
       "      <td>58.751527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>56.876173</td>\n",
       "      <td>57.303189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56.838441</td>\n",
       "      <td>55.932652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>56.893313</td>\n",
       "      <td>53.223140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>56.830763</td>\n",
       "      <td>54.405416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>56.906480</td>\n",
       "      <td>54.185199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>57.004808</td>\n",
       "      <td>61.454882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>56.817850</td>\n",
       "      <td>70.290975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>56.599782</td>\n",
       "      <td>76.214467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>56.663599</td>\n",
       "      <td>83.036496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>56.535360</td>\n",
       "      <td>75.673789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>56.824675</td>\n",
       "      <td>78.451158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>56.702324</td>\n",
       "      <td>76.947557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>56.670530</td>\n",
       "      <td>78.484497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>56.701227</td>\n",
       "      <td>74.247546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>56.757156</td>\n",
       "      <td>70.509594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>56.544308</td>\n",
       "      <td>78.101232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>56.657243</td>\n",
       "      <td>75.066709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>56.683499</td>\n",
       "      <td>76.424106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>56.796155</td>\n",
       "      <td>73.324163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>58.021314</td>\n",
       "      <td>68.839930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>57.825275</td>\n",
       "      <td>62.234562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>57.339827</td>\n",
       "      <td>59.993939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>168 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               r_hr      value\n",
       "dow hour                      \n",
       "0   0     57.483412  62.071090\n",
       "    1     57.477863  56.157634\n",
       "    2     57.453755  55.939130\n",
       "    3     57.449011  55.342769\n",
       "    4     57.455987  51.635607\n",
       "    5     57.461419  57.854207\n",
       "    6     57.847295  76.504072\n",
       "    7     57.634970  84.217079\n",
       "    8     56.480946  78.798165\n",
       "    9     57.269724  79.916934\n",
       "    10    57.252639  74.569921\n",
       "    11    57.361517  72.711900\n",
       "    12    57.187079  70.937772\n",
       "    13    57.489489  75.219595\n",
       "    14    57.661076  69.424337\n",
       "    15    57.614990  67.176331\n",
       "    16    57.620515  71.828199\n",
       "    17    57.656722  74.869342\n",
       "    18    57.511976  83.844644\n",
       "    19    57.769114  77.190765\n",
       "    20    57.232253  76.092207\n",
       "    21    57.350624  78.247660\n",
       "    22    57.551540  66.676797\n",
       "    23    57.662266  61.997019\n",
       "1   0     56.879982  57.135786\n",
       "    1     57.032197  56.388731\n",
       "    2     56.894943  55.939843\n",
       "    3     56.895217  53.905217\n",
       "    4     56.930807  54.051565\n",
       "    5     56.872735  53.776963\n",
       "...             ...        ...\n",
       "5   18    57.053157  74.562331\n",
       "    19    57.133558  74.855219\n",
       "    20    57.007407  72.088604\n",
       "    21    57.146403  67.385171\n",
       "    22    57.183890  64.677802\n",
       "    23    56.916105  64.364054\n",
       "6   0     57.020221  59.693382\n",
       "    1     56.862977  58.751527\n",
       "    2     56.876173  57.303189\n",
       "    3     56.838441  55.932652\n",
       "    4     56.893313  53.223140\n",
       "    5     56.830763  54.405416\n",
       "    6     56.906480  54.185199\n",
       "    7     57.004808  61.454882\n",
       "    8     56.817850  70.290975\n",
       "    9     56.599782  76.214467\n",
       "    10    56.663599  83.036496\n",
       "    11    56.535360  75.673789\n",
       "    12    56.824675  78.451158\n",
       "    13    56.702324  76.947557\n",
       "    14    56.670530  78.484497\n",
       "    15    56.701227  74.247546\n",
       "    16    56.757156  70.509594\n",
       "    17    56.544308  78.101232\n",
       "    18    56.657243  75.066709\n",
       "    19    56.683499  76.424106\n",
       "    20    56.796155  73.324163\n",
       "    21    58.021314  68.839930\n",
       "    22    57.825275  62.234562\n",
       "    23    57.339827  59.993939\n",
       "\n",
       "[168 rows x 2 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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></th>\n",
       "      <th>r_hr</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dow</th>\n",
       "      <th>hour</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
       "      <th>0</th>\n",
       "      <td>57.483412</td>\n",
       "      <td>62.071090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>57.477863</td>\n",
       "      <td>56.157634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>57.453755</td>\n",
       "      <td>55.939130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>57.449011</td>\n",
       "      <td>55.342769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57.455987</td>\n",
       "      <td>51.635607</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               r_hr      value\n",
       "dow hour                      \n",
       "0   0     57.483412  62.071090\n",
       "    1     57.477863  56.157634\n",
       "    2     57.453755  55.939130\n",
       "    3     57.449011  55.342769\n",
       "    4     57.455987  51.635607"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_g.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>dow</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hour</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>62.071090</td>\n",
       "      <td>57.135786</td>\n",
       "      <td>57.877141</td>\n",
       "      <td>61.509604</td>\n",
       "      <td>58.844620</td>\n",
       "      <td>61.558264</td>\n",
       "      <td>59.693382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>56.157634</td>\n",
       "      <td>56.388731</td>\n",
       "      <td>57.665683</td>\n",
       "      <td>59.014439</td>\n",
       "      <td>56.738868</td>\n",
       "      <td>63.227175</td>\n",
       "      <td>58.751527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55.939130</td>\n",
       "      <td>55.939843</td>\n",
       "      <td>56.868889</td>\n",
       "      <td>57.839847</td>\n",
       "      <td>54.714605</td>\n",
       "      <td>60.453965</td>\n",
       "      <td>57.303189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>55.342769</td>\n",
       "      <td>53.905217</td>\n",
       "      <td>54.459600</td>\n",
       "      <td>54.707598</td>\n",
       "      <td>53.420023</td>\n",
       "      <td>59.979499</td>\n",
       "      <td>55.932652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51.635607</td>\n",
       "      <td>54.051565</td>\n",
       "      <td>52.550096</td>\n",
       "      <td>53.720219</td>\n",
       "      <td>52.470499</td>\n",
       "      <td>60.062237</td>\n",
       "      <td>53.223140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>57.854207</td>\n",
       "      <td>53.776963</td>\n",
       "      <td>52.891861</td>\n",
       "      <td>53.172635</td>\n",
       "      <td>53.237225</td>\n",
       "      <td>56.367427</td>\n",
       "      <td>54.405416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>76.504072</td>\n",
       "      <td>57.590426</td>\n",
       "      <td>55.859682</td>\n",
       "      <td>58.331524</td>\n",
       "      <td>56.088782</td>\n",
       "      <td>56.381894</td>\n",
       "      <td>54.185199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>84.217079</td>\n",
       "      <td>78.789913</td>\n",
       "      <td>74.693088</td>\n",
       "      <td>77.253846</td>\n",
       "      <td>75.238483</td>\n",
       "      <td>61.170807</td>\n",
       "      <td>61.454882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>78.798165</td>\n",
       "      <td>85.727072</td>\n",
       "      <td>83.588937</td>\n",
       "      <td>86.204449</td>\n",
       "      <td>82.400908</td>\n",
       "      <td>67.766539</td>\n",
       "      <td>70.290975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>79.916934</td>\n",
       "      <td>70.855252</td>\n",
       "      <td>70.237708</td>\n",
       "      <td>74.979725</td>\n",
       "      <td>67.759072</td>\n",
       "      <td>79.677886</td>\n",
       "      <td>76.214467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>74.569921</td>\n",
       "      <td>65.718024</td>\n",
       "      <td>72.967233</td>\n",
       "      <td>67.245965</td>\n",
       "      <td>64.337710</td>\n",
       "      <td>77.001993</td>\n",
       "      <td>83.036496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>72.711900</td>\n",
       "      <td>72.305631</td>\n",
       "      <td>64.883564</td>\n",
       "      <td>66.419575</td>\n",
       "      <td>65.040684</td>\n",
       "      <td>85.030856</td>\n",
       "      <td>75.673789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>70.937772</td>\n",
       "      <td>72.203418</td>\n",
       "      <td>63.574692</td>\n",
       "      <td>68.605370</td>\n",
       "      <td>67.869899</td>\n",
       "      <td>83.586018</td>\n",
       "      <td>78.451158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>75.219595</td>\n",
       "      <td>72.180527</td>\n",
       "      <td>67.258455</td>\n",
       "      <td>69.105688</td>\n",
       "      <td>71.436451</td>\n",
       "      <td>78.182785</td>\n",
       "      <td>76.947557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>69.424337</td>\n",
       "      <td>70.651697</td>\n",
       "      <td>66.727241</td>\n",
       "      <td>70.523772</td>\n",
       "      <td>68.951471</td>\n",
       "      <td>77.920284</td>\n",
       "      <td>78.484497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>67.176331</td>\n",
       "      <td>72.762287</td>\n",
       "      <td>70.207447</td>\n",
       "      <td>73.405025</td>\n",
       "      <td>80.196634</td>\n",
       "      <td>75.803063</td>\n",
       "      <td>74.247546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>71.828199</td>\n",
       "      <td>75.935087</td>\n",
       "      <td>71.030362</td>\n",
       "      <td>74.722609</td>\n",
       "      <td>79.407609</td>\n",
       "      <td>76.726050</td>\n",
       "      <td>70.509594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>74.869342</td>\n",
       "      <td>78.613958</td>\n",
       "      <td>81.520582</td>\n",
       "      <td>79.985261</td>\n",
       "      <td>76.778054</td>\n",
       "      <td>71.931044</td>\n",
       "      <td>78.101232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>83.844644</td>\n",
       "      <td>74.874260</td>\n",
       "      <td>78.757932</td>\n",
       "      <td>73.578515</td>\n",
       "      <td>77.616171</td>\n",
       "      <td>74.562331</td>\n",
       "      <td>75.066709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>77.190765</td>\n",
       "      <td>77.332981</td>\n",
       "      <td>80.280513</td>\n",
       "      <td>78.565571</td>\n",
       "      <td>73.507307</td>\n",
       "      <td>74.855219</td>\n",
       "      <td>76.424106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>76.092207</td>\n",
       "      <td>73.216105</td>\n",
       "      <td>75.316966</td>\n",
       "      <td>73.842552</td>\n",
       "      <td>73.870185</td>\n",
       "      <td>72.088604</td>\n",
       "      <td>73.324163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>78.247660</td>\n",
       "      <td>68.549941</td>\n",
       "      <td>66.425492</td>\n",
       "      <td>67.329273</td>\n",
       "      <td>67.732571</td>\n",
       "      <td>67.385171</td>\n",
       "      <td>68.839930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>66.676797</td>\n",
       "      <td>63.905124</td>\n",
       "      <td>68.263093</td>\n",
       "      <td>65.030338</td>\n",
       "      <td>64.496222</td>\n",
       "      <td>64.677802</td>\n",
       "      <td>62.234562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>61.997019</td>\n",
       "      <td>60.365571</td>\n",
       "      <td>67.388342</td>\n",
       "      <td>60.603156</td>\n",
       "      <td>68.449645</td>\n",
       "      <td>64.364054</td>\n",
       "      <td>59.993939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "dow           0          1          2          3          4          5  \\\n",
       "hour                                                                     \n",
       "0     62.071090  57.135786  57.877141  61.509604  58.844620  61.558264   \n",
       "1     56.157634  56.388731  57.665683  59.014439  56.738868  63.227175   \n",
       "2     55.939130  55.939843  56.868889  57.839847  54.714605  60.453965   \n",
       "3     55.342769  53.905217  54.459600  54.707598  53.420023  59.979499   \n",
       "4     51.635607  54.051565  52.550096  53.720219  52.470499  60.062237   \n",
       "5     57.854207  53.776963  52.891861  53.172635  53.237225  56.367427   \n",
       "6     76.504072  57.590426  55.859682  58.331524  56.088782  56.381894   \n",
       "7     84.217079  78.789913  74.693088  77.253846  75.238483  61.170807   \n",
       "8     78.798165  85.727072  83.588937  86.204449  82.400908  67.766539   \n",
       "9     79.916934  70.855252  70.237708  74.979725  67.759072  79.677886   \n",
       "10    74.569921  65.718024  72.967233  67.245965  64.337710  77.001993   \n",
       "11    72.711900  72.305631  64.883564  66.419575  65.040684  85.030856   \n",
       "12    70.937772  72.203418  63.574692  68.605370  67.869899  83.586018   \n",
       "13    75.219595  72.180527  67.258455  69.105688  71.436451  78.182785   \n",
       "14    69.424337  70.651697  66.727241  70.523772  68.951471  77.920284   \n",
       "15    67.176331  72.762287  70.207447  73.405025  80.196634  75.803063   \n",
       "16    71.828199  75.935087  71.030362  74.722609  79.407609  76.726050   \n",
       "17    74.869342  78.613958  81.520582  79.985261  76.778054  71.931044   \n",
       "18    83.844644  74.874260  78.757932  73.578515  77.616171  74.562331   \n",
       "19    77.190765  77.332981  80.280513  78.565571  73.507307  74.855219   \n",
       "20    76.092207  73.216105  75.316966  73.842552  73.870185  72.088604   \n",
       "21    78.247660  68.549941  66.425492  67.329273  67.732571  67.385171   \n",
       "22    66.676797  63.905124  68.263093  65.030338  64.496222  64.677802   \n",
       "23    61.997019  60.365571  67.388342  60.603156  68.449645  64.364054   \n",
       "\n",
       "dow           6  \n",
       "hour             \n",
       "0     59.693382  \n",
       "1     58.751527  \n",
       "2     57.303189  \n",
       "3     55.932652  \n",
       "4     53.223140  \n",
       "5     54.405416  \n",
       "6     54.185199  \n",
       "7     61.454882  \n",
       "8     70.290975  \n",
       "9     76.214467  \n",
       "10    83.036496  \n",
       "11    75.673789  \n",
       "12    78.451158  \n",
       "13    76.947557  \n",
       "14    78.484497  \n",
       "15    74.247546  \n",
       "16    70.509594  \n",
       "17    78.101232  \n",
       "18    75.066709  \n",
       "19    76.424106  \n",
       "20    73.324163  \n",
       "21    68.839930  \n",
       "22    62.234562  \n",
       "23    59.993939  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_g['value'].unstack(level=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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></th>\n",
       "      <th>r_hr</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dow</th>\n",
       "      <th>hour</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"24\" valign=\"top\">0</th>\n",
       "      <th>0</th>\n",
       "      <td>57.483412</td>\n",
       "      <td>62.071090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>57.477863</td>\n",
       "      <td>56.157634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>57.453755</td>\n",
       "      <td>55.939130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>57.449011</td>\n",
       "      <td>55.342769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57.455987</td>\n",
       "      <td>51.635607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>57.461419</td>\n",
       "      <td>57.854207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>57.847295</td>\n",
       "      <td>76.504072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>57.634970</td>\n",
       "      <td>84.217079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>56.480946</td>\n",
       "      <td>78.798165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>57.269724</td>\n",
       "      <td>79.916934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>57.252639</td>\n",
       "      <td>74.569921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>57.361517</td>\n",
       "      <td>72.711900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>57.187079</td>\n",
       "      <td>70.937772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>57.489489</td>\n",
       "      <td>75.219595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>57.661076</td>\n",
       "      <td>69.424337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>57.614990</td>\n",
       "      <td>67.176331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>57.620515</td>\n",
       "      <td>71.828199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>57.656722</td>\n",
       "      <td>74.869342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>57.511976</td>\n",
       "      <td>83.844644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>57.769114</td>\n",
       "      <td>77.190765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>57.232253</td>\n",
       "      <td>76.092207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>57.350624</td>\n",
       "      <td>78.247660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>57.551540</td>\n",
       "      <td>66.676797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>57.662266</td>\n",
       "      <td>61.997019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">1</th>\n",
       "      <th>0</th>\n",
       "      <td>56.879982</td>\n",
       "      <td>57.135786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>57.032197</td>\n",
       "      <td>56.388731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>56.894943</td>\n",
       "      <td>55.939843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56.895217</td>\n",
       "      <td>53.905217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>56.930807</td>\n",
       "      <td>54.051565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>56.872735</td>\n",
       "      <td>53.776963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">5</th>\n",
       "      <th>18</th>\n",
       "      <td>57.053157</td>\n",
       "      <td>74.562331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>57.133558</td>\n",
       "      <td>74.855219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>57.007407</td>\n",
       "      <td>72.088604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>57.146403</td>\n",
       "      <td>67.385171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>57.183890</td>\n",
       "      <td>64.677802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>56.916105</td>\n",
       "      <td>64.364054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"24\" valign=\"top\">6</th>\n",
       "      <th>0</th>\n",
       "      <td>57.020221</td>\n",
       "      <td>59.693382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>56.862977</td>\n",
       "      <td>58.751527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>56.876173</td>\n",
       "      <td>57.303189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56.838441</td>\n",
       "      <td>55.932652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>56.893313</td>\n",
       "      <td>53.223140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>56.830763</td>\n",
       "      <td>54.405416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>56.906480</td>\n",
       "      <td>54.185199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>57.004808</td>\n",
       "      <td>61.454882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>56.817850</td>\n",
       "      <td>70.290975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>56.599782</td>\n",
       "      <td>76.214467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>56.663599</td>\n",
       "      <td>83.036496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>56.535360</td>\n",
       "      <td>75.673789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>56.824675</td>\n",
       "      <td>78.451158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>56.702324</td>\n",
       "      <td>76.947557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>56.670530</td>\n",
       "      <td>78.484497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>56.701227</td>\n",
       "      <td>74.247546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>56.757156</td>\n",
       "      <td>70.509594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>56.544308</td>\n",
       "      <td>78.101232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>56.657243</td>\n",
       "      <td>75.066709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>56.683499</td>\n",
       "      <td>76.424106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>56.796155</td>\n",
       "      <td>73.324163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>58.021314</td>\n",
       "      <td>68.839930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>57.825275</td>\n",
       "      <td>62.234562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>57.339827</td>\n",
       "      <td>59.993939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>168 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               r_hr      value\n",
       "dow hour                      \n",
       "0   0     57.483412  62.071090\n",
       "    1     57.477863  56.157634\n",
       "    2     57.453755  55.939130\n",
       "    3     57.449011  55.342769\n",
       "    4     57.455987  51.635607\n",
       "    5     57.461419  57.854207\n",
       "    6     57.847295  76.504072\n",
       "    7     57.634970  84.217079\n",
       "    8     56.480946  78.798165\n",
       "    9     57.269724  79.916934\n",
       "    10    57.252639  74.569921\n",
       "    11    57.361517  72.711900\n",
       "    12    57.187079  70.937772\n",
       "    13    57.489489  75.219595\n",
       "    14    57.661076  69.424337\n",
       "    15    57.614990  67.176331\n",
       "    16    57.620515  71.828199\n",
       "    17    57.656722  74.869342\n",
       "    18    57.511976  83.844644\n",
       "    19    57.769114  77.190765\n",
       "    20    57.232253  76.092207\n",
       "    21    57.350624  78.247660\n",
       "    22    57.551540  66.676797\n",
       "    23    57.662266  61.997019\n",
       "1   0     56.879982  57.135786\n",
       "    1     57.032197  56.388731\n",
       "    2     56.894943  55.939843\n",
       "    3     56.895217  53.905217\n",
       "    4     56.930807  54.051565\n",
       "    5     56.872735  53.776963\n",
       "...             ...        ...\n",
       "5   18    57.053157  74.562331\n",
       "    19    57.133558  74.855219\n",
       "    20    57.007407  72.088604\n",
       "    21    57.146403  67.385171\n",
       "    22    57.183890  64.677802\n",
       "    23    56.916105  64.364054\n",
       "6   0     57.020221  59.693382\n",
       "    1     56.862977  58.751527\n",
       "    2     56.876173  57.303189\n",
       "    3     56.838441  55.932652\n",
       "    4     56.893313  53.223140\n",
       "    5     56.830763  54.405416\n",
       "    6     56.906480  54.185199\n",
       "    7     57.004808  61.454882\n",
       "    8     56.817850  70.290975\n",
       "    9     56.599782  76.214467\n",
       "    10    56.663599  83.036496\n",
       "    11    56.535360  75.673789\n",
       "    12    56.824675  78.451158\n",
       "    13    56.702324  76.947557\n",
       "    14    56.670530  78.484497\n",
       "    15    56.701227  74.247546\n",
       "    16    56.757156  70.509594\n",
       "    17    56.544308  78.101232\n",
       "    18    56.657243  75.066709\n",
       "    19    56.683499  76.424106\n",
       "    20    56.796155  73.324163\n",
       "    21    58.021314  68.839930\n",
       "    22    57.825275  62.234562\n",
       "    23    57.339827  59.993939\n",
       "\n",
       "[168 rows x 2 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x120a50090>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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FAgA6HcgaR+pLKcNNVXSWJQlpRZXP+j4mSDLywXuBn/0U8rEfTfpSyF6j18l5uh8IIfkZ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1AAAg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\nDx32fNrBZ5G6NdAlxMy5wNwFQLQX8u1XnX2wIQ6Z94x0l94y86kVJR1v2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09vKh7e8ykT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\n3f8DEGScTpKaKX4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1219128d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_g[\"value\"].plot(lw=2)\n",
    "ax.set_xticks(range(0, len(df_g.index), 24))\n",
    "ax.set_xticks(range(0, len(df_g.index)), minor=True)\n",
    "ax.set_xticklabels(weekdays, rotation=45)\n",
    "ax.set_xlabel(\"Day\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>dow</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hour</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>62.071090</td>\n",
       "      <td>57.135786</td>\n",
       "      <td>57.877141</td>\n",
       "      <td>61.509604</td>\n",
       "      <td>58.844620</td>\n",
       "      <td>61.558264</td>\n",
       "      <td>59.693382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>56.157634</td>\n",
       "      <td>56.388731</td>\n",
       "      <td>57.665683</td>\n",
       "      <td>59.014439</td>\n",
       "      <td>56.738868</td>\n",
       "      <td>63.227175</td>\n",
       "      <td>58.751527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55.939130</td>\n",
       "      <td>55.939843</td>\n",
       "      <td>56.868889</td>\n",
       "      <td>57.839847</td>\n",
       "      <td>54.714605</td>\n",
       "      <td>60.453965</td>\n",
       "      <td>57.303189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>55.342769</td>\n",
       "      <td>53.905217</td>\n",
       "      <td>54.459600</td>\n",
       "      <td>54.707598</td>\n",
       "      <td>53.420023</td>\n",
       "      <td>59.979499</td>\n",
       "      <td>55.932652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51.635607</td>\n",
       "      <td>54.051565</td>\n",
       "      <td>52.550096</td>\n",
       "      <td>53.720219</td>\n",
       "      <td>52.470499</td>\n",
       "      <td>60.062237</td>\n",
       "      <td>53.223140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>57.854207</td>\n",
       "      <td>53.776963</td>\n",
       "      <td>52.891861</td>\n",
       "      <td>53.172635</td>\n",
       "      <td>53.237225</td>\n",
       "      <td>56.367427</td>\n",
       "      <td>54.405416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>76.504072</td>\n",
       "      <td>57.590426</td>\n",
       "      <td>55.859682</td>\n",
       "      <td>58.331524</td>\n",
       "      <td>56.088782</td>\n",
       "      <td>56.381894</td>\n",
       "      <td>54.185199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>84.217079</td>\n",
       "      <td>78.789913</td>\n",
       "      <td>74.693088</td>\n",
       "      <td>77.253846</td>\n",
       "      <td>75.238483</td>\n",
       "      <td>61.170807</td>\n",
       "      <td>61.454882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>78.798165</td>\n",
       "      <td>85.727072</td>\n",
       "      <td>83.588937</td>\n",
       "      <td>86.204449</td>\n",
       "      <td>82.400908</td>\n",
       "      <td>67.766539</td>\n",
       "      <td>70.290975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>79.916934</td>\n",
       "      <td>70.855252</td>\n",
       "      <td>70.237708</td>\n",
       "      <td>74.979725</td>\n",
       "      <td>67.759072</td>\n",
       "      <td>79.677886</td>\n",
       "      <td>76.214467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>74.569921</td>\n",
       "      <td>65.718024</td>\n",
       "      <td>72.967233</td>\n",
       "      <td>67.245965</td>\n",
       "      <td>64.337710</td>\n",
       "      <td>77.001993</td>\n",
       "      <td>83.036496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>72.711900</td>\n",
       "      <td>72.305631</td>\n",
       "      <td>64.883564</td>\n",
       "      <td>66.419575</td>\n",
       "      <td>65.040684</td>\n",
       "      <td>85.030856</td>\n",
       "      <td>75.673789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>70.937772</td>\n",
       "      <td>72.203418</td>\n",
       "      <td>63.574692</td>\n",
       "      <td>68.605370</td>\n",
       "      <td>67.869899</td>\n",
       "      <td>83.586018</td>\n",
       "      <td>78.451158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>75.219595</td>\n",
       "      <td>72.180527</td>\n",
       "      <td>67.258455</td>\n",
       "      <td>69.105688</td>\n",
       "      <td>71.436451</td>\n",
       "      <td>78.182785</td>\n",
       "      <td>76.947557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>69.424337</td>\n",
       "      <td>70.651697</td>\n",
       "      <td>66.727241</td>\n",
       "      <td>70.523772</td>\n",
       "      <td>68.951471</td>\n",
       "      <td>77.920284</td>\n",
       "      <td>78.484497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>67.176331</td>\n",
       "      <td>72.762287</td>\n",
       "      <td>70.207447</td>\n",
       "      <td>73.405025</td>\n",
       "      <td>80.196634</td>\n",
       "      <td>75.803063</td>\n",
       "      <td>74.247546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>71.828199</td>\n",
       "      <td>75.935087</td>\n",
       "      <td>71.030362</td>\n",
       "      <td>74.722609</td>\n",
       "      <td>79.407609</td>\n",
       "      <td>76.726050</td>\n",
       "      <td>70.509594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>74.869342</td>\n",
       "      <td>78.613958</td>\n",
       "      <td>81.520582</td>\n",
       "      <td>79.985261</td>\n",
       "      <td>76.778054</td>\n",
       "      <td>71.931044</td>\n",
       "      <td>78.101232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>83.844644</td>\n",
       "      <td>74.874260</td>\n",
       "      <td>78.757932</td>\n",
       "      <td>73.578515</td>\n",
       "      <td>77.616171</td>\n",
       "      <td>74.562331</td>\n",
       "      <td>75.066709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>77.190765</td>\n",
       "      <td>77.332981</td>\n",
       "      <td>80.280513</td>\n",
       "      <td>78.565571</td>\n",
       "      <td>73.507307</td>\n",
       "      <td>74.855219</td>\n",
       "      <td>76.424106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>76.092207</td>\n",
       "      <td>73.216105</td>\n",
       "      <td>75.316966</td>\n",
       "      <td>73.842552</td>\n",
       "      <td>73.870185</td>\n",
       "      <td>72.088604</td>\n",
       "      <td>73.324163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>78.247660</td>\n",
       "      <td>68.549941</td>\n",
       "      <td>66.425492</td>\n",
       "      <td>67.329273</td>\n",
       "      <td>67.732571</td>\n",
       "      <td>67.385171</td>\n",
       "      <td>68.839930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>66.676797</td>\n",
       "      <td>63.905124</td>\n",
       "      <td>68.263093</td>\n",
       "      <td>65.030338</td>\n",
       "      <td>64.496222</td>\n",
       "      <td>64.677802</td>\n",
       "      <td>62.234562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>61.997019</td>\n",
       "      <td>60.365571</td>\n",
       "      <td>67.388342</td>\n",
       "      <td>60.603156</td>\n",
       "      <td>68.449645</td>\n",
       "      <td>64.364054</td>\n",
       "      <td>59.993939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "dow           0          1          2          3          4          5  \\\n",
       "hour                                                                     \n",
       "0     62.071090  57.135786  57.877141  61.509604  58.844620  61.558264   \n",
       "1     56.157634  56.388731  57.665683  59.014439  56.738868  63.227175   \n",
       "2     55.939130  55.939843  56.868889  57.839847  54.714605  60.453965   \n",
       "3     55.342769  53.905217  54.459600  54.707598  53.420023  59.979499   \n",
       "4     51.635607  54.051565  52.550096  53.720219  52.470499  60.062237   \n",
       "5     57.854207  53.776963  52.891861  53.172635  53.237225  56.367427   \n",
       "6     76.504072  57.590426  55.859682  58.331524  56.088782  56.381894   \n",
       "7     84.217079  78.789913  74.693088  77.253846  75.238483  61.170807   \n",
       "8     78.798165  85.727072  83.588937  86.204449  82.400908  67.766539   \n",
       "9     79.916934  70.855252  70.237708  74.979725  67.759072  79.677886   \n",
       "10    74.569921  65.718024  72.967233  67.245965  64.337710  77.001993   \n",
       "11    72.711900  72.305631  64.883564  66.419575  65.040684  85.030856   \n",
       "12    70.937772  72.203418  63.574692  68.605370  67.869899  83.586018   \n",
       "13    75.219595  72.180527  67.258455  69.105688  71.436451  78.182785   \n",
       "14    69.424337  70.651697  66.727241  70.523772  68.951471  77.920284   \n",
       "15    67.176331  72.762287  70.207447  73.405025  80.196634  75.803063   \n",
       "16    71.828199  75.935087  71.030362  74.722609  79.407609  76.726050   \n",
       "17    74.869342  78.613958  81.520582  79.985261  76.778054  71.931044   \n",
       "18    83.844644  74.874260  78.757932  73.578515  77.616171  74.562331   \n",
       "19    77.190765  77.332981  80.280513  78.565571  73.507307  74.855219   \n",
       "20    76.092207  73.216105  75.316966  73.842552  73.870185  72.088604   \n",
       "21    78.247660  68.549941  66.425492  67.329273  67.732571  67.385171   \n",
       "22    66.676797  63.905124  68.263093  65.030338  64.496222  64.677802   \n",
       "23    61.997019  60.365571  67.388342  60.603156  68.449645  64.364054   \n",
       "\n",
       "dow           6  \n",
       "hour             \n",
       "0     59.693382  \n",
       "1     58.751527  \n",
       "2     57.303189  \n",
       "3     55.932652  \n",
       "4     53.223140  \n",
       "5     54.405416  \n",
       "6     54.185199  \n",
       "7     61.454882  \n",
       "8     70.290975  \n",
       "9     76.214467  \n",
       "10    83.036496  \n",
       "11    75.673789  \n",
       "12    78.451158  \n",
       "13    76.947557  \n",
       "14    78.484497  \n",
       "15    74.247546  \n",
       "16    70.509594  \n",
       "17    78.101232  \n",
       "18    75.066709  \n",
       "19    76.424106  \n",
       "20    73.324163  \n",
       "21    68.839930  \n",
       "22    62.234562  \n",
       "23    59.993939  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_g['value'].unstack(level=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.axis.XTick at 0x121652790>,\n",
       " <matplotlib.axis.XTick at 0x121626fd0>,\n",
       " <matplotlib.axis.XTick at 0x121e0cd10>,\n",
       " <matplotlib.axis.XTick at 0x121e0ce10>,\n",
       " <matplotlib.axis.XTick at 0x121e18410>,\n",
       " <matplotlib.axis.XTick at 0x121e18b90>,\n",
       " <matplotlib.axis.XTick at 0x120642f50>,\n",
       " <matplotlib.axis.XTick at 0x1214694d0>,\n",
       " <matplotlib.axis.XTick at 0x1214699d0>,\n",
       " <matplotlib.axis.XTick at 0x1214630d0>,\n",
       " <matplotlib.axis.XTick at 0x121463850>,\n",
       " <matplotlib.axis.XTick at 0x121463fd0>,\n",
       " <matplotlib.axis.XTick at 0x121e18850>,\n",
       " <matplotlib.axis.XTick at 0x121487dd0>,\n",
       " <matplotlib.axis.XTick at 0x121638750>,\n",
       " <matplotlib.axis.XTick at 0x121652450>,\n",
       " <matplotlib.axis.XTick at 0x121652690>,\n",
       " <matplotlib.axis.XTick at 0x121683850>,\n",
       " <matplotlib.axis.XTick at 0x12168b810>,\n",
       " <matplotlib.axis.XTick at 0x12145c3d0>,\n",
       " <matplotlib.axis.XTick at 0x12145cb50>,\n",
       " <matplotlib.axis.XTick at 0x121454310>,\n",
       " <matplotlib.axis.XTick at 0x121454a90>,\n",
       " <matplotlib.axis.XTick at 0x121d22250>]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GqjUuUGyzpdgm19PTQzweJ2H7cQeCrAxbhVhCoRAtzvwjOlNePDi7TAcGBnC7pzX8vGT0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\npCnpu5aj+3wawwCnS3DkDg9NbQ50I8Vypw8EAmR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YahBTC+70ctYk3/IvyPhuQzGzhEf/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WLHNDNYvNAKBK1TcsEAabbImFCqAwC/ZpmrzKcwdYcto6VUSWDRnTulEB3z4L1Ic3FyrdbyV7Oj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\n7GiKgT20FYCCYhVNM9XoY9Gp1WeaLee1+kxPz9m/4rOwsMghs8JHedBfC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23r4k+7eniu\neAlr3/9NNs6+jDfiDnZ977scXPsybf1JemNpYikDIw/LfOVzf4JQL8yYCxesmuzpDIvJFkEaqVVM\nR0cHzz//PACXX345VVWmDU9KN7j35Vae2tuLpgg+f0k1184ZH0V0qWmEqsx+WP+Ro4j02G/0JOIG\n0bCBio7vtafA5cF99a3A+GRLswTccyjznEvKiLGv57mTHtcdPcD6lv9BIllQegszi64YtzlZjA4h\nBMurPkCxaxbRVBcvNX0P3Tj5/Wp2iZP5lT4eyGRNleRi7H2bcTolPr+Crg9slkwFcjZKVmB6UvJ7\n69TCwmLs6M4f8aOsIm+RMK1NppsirysYREhJq9ZJSISGFZiC2WeqxvrRkp0kbQMLXH+BSjyaptJm\nZkxHK4AEZjnvtm3baGxsZMWKFSMaK6Vky4YofUEdt0dh+cUeVPXUmwuaJigp0+hsS9NxNE3tjMlV\nzWzpS/CDDW0nP6DmBsjGK01A08EhDztUgVNTcGgKTs38/8m+d2kKDk2c8PuBfwKHpmBXxYizbDLU\ni/zLHwFQbn3vmGfpxgtxwSqk9ycDIkgz5kzcc+sR1HQQKWy5vu5TEY1GeeKJJ9B1nQULFrBw4ULz\n5ymd/1pzhK1tUdw2hS9fXs2i8lOX658psaJC3D1BHOEI/tY2+upG78F6InLZ0uA+FGmgvO+TOFPm\ntTxe4BvT5zqWc0tvpiOyk73df2Fu8bXYVOeQx8PJdtY23Ysuk8wovIwFpbeM63wsRo+m2Lmk9lP8\ntfFrdMf28Wrrz3P9pyfi9kUBvvJsP3cWJ/DbSrGnC7FH9xIor6c/lKSrI0VJ2RQJZ4YIIAUR/sm3\n7ss3pshf0sLC4kyQyYSZNVE1KJz8C2FWkdctzV69nCLvdPAwlRJPpoz3DTYDUOQ6tfBRlrStFHvs\nIGqqA5ib+7mvQKXjaJpCaV7SW/pG52UKUFNTg6ZpdHZ2Eg6Hc6JUw2H31jhtLSk0G1x4mQeHc3h/\nw7JKWyYwTU16YPriIVNg5bwqH4tKncTTBnHdIJE2iKckcd0gnjKI9/QQ7+0lodiI213E7W4SOiR0\nSULXITG2u/iKAIdqBqo2TQUpUYT5cyGE+X8EigICUIRA9HSgnPs+hNuD2uRDNDdljjMfHzJWZMZk\nviqQOZfIPWYeP3CcKkTmuczzODTBdQts+M4w/s2KIMlnH0OueQYxgYHpgE1MFYhTq+Xqus5TTz1F\nOBymoqKCyy+/HCEEvfE0//b3Zg70JCh0qnz1ylpmFjtPea4xQQh6a6op27MPT0+QWHERSe/YBcPB\no2YZbWHvPsRbbsF2znloe/ahayopt3vMnudElLnnU+KaQ3dsHweCz3NO4PrcY/F0iBcPf5uE3k+F\nZxHLqt43ZTZhpisuWyGX1H2avzX+O4f7XsbvqOIi/50nPHZ2iZMFFV5+3RHho9UqSnIxzt7NBMpn\n07gvSVd7mnkLJ/gXGCVCUaB+JuzdYWZNFy2b7CnlHVZgamExHejJCOYUBxDK6K0JxoquTMbUoccx\nGMiYKoOtYkrOzoWFLRbDFo+TVgX72IlLK8KpFQxr7MmUebMCSLaU+ZqdiTKvpmnU1tbS2NhIY2Mj\nixYtGta4poMJ9u9OIAQsW+XB5x/++6ysUmPHFuhsT2MYEmWSSrillKzJBKbvWlrFHP+p5lGHbNxn\nCsB0d4DbC++/m9S5F5iBazr7TxJPZwLbY76P5X4uc8ef7PuUIYmlDWJpgOEGvX7Illh2xM7glRk+\nj+zo4V1LAlw/r+iMxH3EpdeYgenGNcjb3o9wjW/gk0XL9pcOo4x37dq1tLa24vF4uP7669E0jfZw\nkq/+rZmj/SkqvDa+9qZaKn0Tt9miOx2Ey0rxtXdQ0HKEzrmzzR2GM0QaOsGdTeCoo8idQNzyXpwZ\nVfGE32/uWIwjQggWlN7MmqZ72NP9NLOLrwYgbSR4qek+wsl2Cp31rKr9Z5QRKClbTB5FznpWVH+M\nl5q/y7aOhykrnEnAduII8/bFAf7lmX7uLI3itxfj6N9JaX0chJnJT6ckmm1qrBlE3Wzk3h3Iw/sR\nVmB6HNan18JiOpCnHqYiaapuDniYZhV5C/CdpaW8WdGjDk8SPaZTNALFyJwy73GWMeZrlY6a2auO\nSIqUbozaimLGjBkjCky72lNs3WQGPouWuiitsI3o+bw+FY9XIRI26O3WKS6dnFvT3u44beEURS6N\nJZU+opHwKY8XM+ag/H/3YfzsPti2Cb7/b9hXvwPHTXdQ6BrbYEQ3BoJVp9tDOBzGkGT+SWTma/Zn\n6T8+gLHrDeTi5XDdOwYdM3DckDFIDAMkg89z/BhDymOOMQN6Q0JjMMH65n7+b3MHLzf1888rKqn2\nj+51EBXVpgjSnm3IDS8grlg9pq/nycgKH6VOI3y0Y8cOtm7diqIorF69Go/Hw6FgnK/9rZlgXGdm\nkYOvXllLoWvi38v95aW4enuxxRN4O7sIl5/5dV9//Pf0qlcCUHzbLQhNw9lnbuKMZ3/pYCq8iyly\nNhCMH6Ix+CIF/pt5peWHdMf247aVcFndZ7Cp+WmFZHFiqv0XsLj8Nra2P8QL++/jmplfx3cC7+A5\nJS4WVvn4fWsHH2hwoCUX4o1vpbBoMb09Ot1dacorR3bfmTSyAkiT6NWcz1iBqYXFNCDnYZongWlX\nNA1SoifM0rDjS3n9lJ2FpbxC13OKmQfshyHGsPtLYZAy7zGWMV6/ihAQCRtUeWy0hFMc7U9RVzg6\nlcysAFJzczOpVAqb7eQ3/HBI///Ze+/wOM7z3Pv3zsz2gkUHAYIEexNVqEZRJFUsU92SYqvYlk6K\nky/JcfI5drqPnTiOu+NYTjuf88U5SSQ5tmXZkixSxVYh1SVKlESxiyRIgCTKAlhsLzPznj9mdwEQ\nAIm2wAKc33X5ssidnXmJXey+zzz3c9/sfDmJlLB4hYuFSyZ2zbp5GkcPZenqyM1YYVrolm5aGEAd\nY9dW+AIof/AF5FOPIB99CLntYeTh/Sj/z59M6fyQqgh8ThWfUyUQcBFj9K64PHoI8/VfgMOJcutN\niKrp6TYCvBfW+fvtR9nXneKPth3lE+fX8JGVVWP+eQ5GbNqCPLAbuf1p5FU3Tos8sxAVc6aOaUdH\nB88//zwA11xzDfPmzWNPZ5Kvbm8nkTNZW+/l81c14XXMkDpFUYjMb6Lm8FECHV2kQiEM18RvlMg9\nu4htfxnj8hvxOnO4G2pRcjmcyRRSCDLjkPtPBiEEq2s/wstt/8D+nq0kzS5OxN7GoXjZvOBP8Thm\nfkzFZvysrL6ZSPo4x/tfZU/3o6yf//sjHnfP2hr+9sku7skl8TtC+MJ7qKlfR6TXINw5ewpT0bIU\nCbYB0ijMvZ2fjY3NcHosR95yiIqBQoZpBqTE6/UW8/6KUt5MxZzMMHVH+lFMk6zPS5t+ALDkTGPF\n1CowhRPFiCOMgYxHVRX4/ApIWOy1Ogbt0YnPmfp8Purr6zEMg7a20WNRshmT119MkMtJ6ps0Vp8/\n8Tm6mY6NMUzJS8eswnRzy/g6QEJRUG66E+VzX4ZgCA7sxvzyZ5EH3y/FUs+IlBLzkf+w1nXtLYhp\nzi2+clEl/3TLYq5dHCRrSP5jVzd//swxjk9g7lms2wD+ALTnTZBKjKL3oxoxTMWN4aga8ZhEIsHW\nrVsxTZPzzz+fNWvW8FpbjL9+ro1EzuSK5gB/dc38mStK82QDfpKVISvbtP3EhLNNzZ5uzH/7Dn1B\nq8tT2WDd5HBHYwBkAn7kBJUZE6EpcDFBVxPJXA/7u55CERobF3yWCnfTtK3BZmoRQnB+3V0IoXK8\n/1VimVMjHre8xsPSpjoeO2btZxzJBcyvsm66hzvLM25sROoawe2BSA8y2jfTqyk75t7Oz8bGZjhF\nKe/MR8WAJeX15DNMC91SzJy1KZSCpO7HPQc7pr5e60soUVVJX/oYwLikvAgxaM50aM5oIGRthAvO\nvJOZMwVoabHWNVpsjGFI3nw5QTJuEgyprFvvm1S8T3WthqJasTHp1PTHxuzuTBJJGzQGHCydoFGN\nWHk+yhfvh+VroL8X8ztfwHz6Z9MbebLnbTiwG7x+xI0fm77rDsLvUvnMFY381dXzqfZqHOpJ89lt\nrTz8fhjdHPvPomCCBFZ0TKnR8sZHuqsJxPDPH13X2bp1K4lEgsbGRjZt2sQzH0T45osnyJmSG5aF\n+NONjTinsVA7E9HGBkxVwR2L446cOS9yJKSuk/je30A8SmThZQBU1lg3EadbxltACIXVNR8p/vny\npt+lzrdyWtdgM/X4nDUsr70WiWRv+PFRj7vn/Bp+HnGR1GMIGaA5dxhFgWjEIJspj7ixsyEUBRYs\ntv5gd02HUR6fnjY2NiWlnKS8hinpTem484XpQFSMtXFKZAO4POqMGeCUCi2dxplIYioKPT6drBHH\npQbwaCN3ZkajUJiquZENkEL5CY0T/ZMrTAty3tbW1mGFlZSS93Ym6e02cHsEl23yoWmTe71UTRRD\n07s7cpM610QouPFubglOSjIqQlUon/sK4oaPgmkif/ofmP/yNWTyzPOqU4E0DcxH/tNax013InzT\nI7EcjYub/PzjzYvYsrQC3ZQ8+G6YP3u6lda+9JjPITZdD2CZIKWSZzl6chTnS0eR8e7YsYOOjg78\nfj833ngjP9vXxz+/3oEp4Z611fzepfUTkiyXCtPhIDrPmterOHEKYYzPKVr+/AGMg3sgVE2kdg0A\nldUqwjBxxaz3czpY2piYkWiuWM/qmo9w9dLPsqBifJFWNuXLBY0fRaBwLPIK8WzniMesqPFQ1byY\n7e3WDVNP1EdNjfVYuGv2dE0Leab2nOlw7MLUxuZcoCdfxJRBYdqfMTAkhE7LMB1w5J2bUTHevINl\nqjJEb/Y4YM2XjrcI0h3Wa3i6M2/BAMk1Bc68ALW1tfj9fhKJBN3dQ6/1wb4M7a05VBUu3ejDM0Wv\nV0HO2znNct6MbvLqcUuauGmcMt6REKqK8tFfR/n0/wKvD955HfNvP4ss8d1x+foOaG+FqlrEtTef\n9fjpwOdU+fTl8/iba5up82kc7s3wuSdb+e/3uskZZ++eFk2Qshnk6y+UdK3F+dIRjI92797N+++/\nj6qq3HTzzfxwX5wH3w0jgN+7tJ6Pn19blhElyepKsl4vqq4TODXyZn8k5Kl25C8fBUVB/9Sfk0iA\nokIwpOKKxxFSkvV6MM8wf14qFKGwtv5OltZcNe3XtikdQXcDC0NXIjHZ2z161/TudU38/JQkKyMI\n6eXy2lZglsl5C4XpMbswPZ25t/uzsbEZgsxlob8XVBVC4+vOlYKCI28wX5gOd+QN4plr86WmiafX\nKryT1YNlvGOfLy1Q7JieLuXNd0yNfCpIezQ7KQmpEKLYNT1y5Ejx708ez7J/t9XxWneFj1DV1BkV\n1c0b6Jia45B8Tpa3TsZJ6SZLqtzMD07MvGkkxIWXo3zhu7BgCYQ7Mb/xZ5g7niqJtFfmsshHH7Su\ne9snEY6ZzYM9nQvn+fjezYu4aXkIQ8KPdvfwJ0+18kHP2bunYnO+a7r96dLJoqUctWN68uRJtm/f\nDsBV11zLQ4cMnjjQh6YI/nRjIzcuL2PTHSGINDciAV+4B0dybF1n+cSPQUqc195MJD9fGqqylCyu\nGZLx2sx9VtfchkDQGnmZ+GnfcQVW1Xpx1rXwTvggAA2GiSbMWdYxtX6nbCnvcObY7s/GxmYYhW5p\nZQ1CLZ8MU49pbUiLUt5BjrxzzfjI3R9FNQxybjc5j4e+VCswPkfeAoXImNM7pj6fgqJCJiWpdmqk\ndZPe1OS+qAuFaWHOtK9HZ9cb1sZ29QVuGpqmtlvi86v4Agp6zsqmmy4KbrxXTUG39HREbQPKX3wT\nsfkG0HPIB/4F+e/3IzNjl7OOBfn8ViuvuGkhYn15dpK8DpXfvbSBr163gAa/g9ZIhj99upUH3ukm\nZ4w+HyYuumKQCdKhkqxN1XtRzBSm6scclCsci8XYtm0bpmly3vkX8HCHnx3Horg1hb++Zj5XLiz/\n4kz3eEjU1SCAirazGyHJU+3IN18EVcN92yfo67E+RyqrNZASdzRfmAbL/99uM7sIuOpZULEBicG+\n8BOjHnfr+vPYdjiOqfSgSAfrantJxExSydkxZzrEAKnfNkAazNza/dnY2AynpzwzTDV9qPmRUuiY\nZiqmTBpaLngLpkfVVSAEfelWAEITKEwNRxUSxfp5mQOzmEIRBILWjYelPsu8Z7Jy3vnz56NpGt3d\n3XR3RXnjxQSmAQsWO1m8Yuo6i4Opa7C6pl2npmfONJ412HkigQA2LizNvJxwOFHu+5+IT30WnC7k\na89jfu1PkB3tU3J+mYwjtz4MgPLR30AoM38D6kycV+/lezcv4taVlUgJP93Twx9ta+VAODXi8UNN\nkJ4uyZoKxkc5VxPkJbm6rrNt2zaSySQNjU1sSzXzzqkEFW6Vr314Aec3+EqyllIQq69HdzhwptL4\nunvOeKzc+mOQJuLKD6HUNhRvElVWqziSSVTdQHc60N2l+QywObdZXXsbIGiN7CCRDY94zNqmEBH3\nfFoTe60/hxI4FHPWyHktA6RC19SW8w5mbu3+bGxshiHzUTGijKJikBKyo2eYzqWOqZrJ4o7FkUKQ\nqgyRykVI6xEcige/cwJRHkLDcFQjkKi5oV/ahTnTxoIz7yQNkDRNo7m5GYAdzx0gm5HU1GusvdhT\nsnm6usbpjY15rS1GzpSsrfdS7S3tvJyy/hqUz38HGprg5HHMr/wx5psvTvq88slHIBm3ZjHPWzcF\nKy09bk3hty+u5+sfXkBjwEl7NMtfPHOM//N2Fxl9eNej1CZIRRlvfr5USsnzzz9PZ2cnPn+AHeoa\nDvVmqfc7+OaWhSyZoHPzTCFVhf75jQAEOjpRsiPf+JEd7cg3XgRVRdz4MUxTEhnUMXX3W7PY6WCw\nWMDb2EwlQdc8FlSsx5Rn7ppedsFqdhyLI5UuNKFwfmWMcOf0G+dNlIKct9TeA7ONubP7s7GxGZky\ni4oJJ3WcMgumidvtxum0iih1kPnRXJox9fbmTY9CFUhNHdQtXYgYIZJiLAxExozszFsp8s68k8gy\nLdDSYsl5eyNt+AMKl2zwltQxubpWQ1Ut+//piI0Z7MY7HYimBSj/6zuISzdBJoX8129j/vD7yNzE\nNlSytxv57C+AfLd0JosFOf7Xa1Wdl/tvauHXVlvz74/u6+WPth1lb9fQ4rPUJkhF46P8fOl7773H\nvn37UFWNt7wX0JaERZUuvrFlIfMC5TW/O1YyFUFSFUEU06TixMkRj5Fbf2J1Szd8CFFTTzSSQ9fB\n4xW4PcqMxcTYnFusrrG6pkcj20nmekc8ZtP5y9nf6ycudgNwQVWUWDgzvfFck8E2QBqRubP7s7Gx\nGZmiI+8EunMloCeZw22clmEqTZRiXExw7kh5pSzKeJPVlkFKoTAdV37paeiOQmTMyAZI7pz185us\nlBcgE28AIJ07xboNThzO0r42qiqoqZ8eOW9vSmd3RxJNEVzRPH2xF8LtRfzOnyA+8bugasjnt2J+\n+y+LsU7jQT7+35DLIi7ZiFi0rASrHRvOxH5qjn4N7dST436uS1P49Yvq+OaWhTRXODkZy/H5Xx7n\n/9/ZSXpQ97RkJkjSRMsUpLzzaW9vZ8eOHQDsD6zhhOFlTZ2Hr163gCrP1Jl9zQT9TY2YioKnP1o0\nMSogO05Yzs6qirjpTgDCXdZnSGWNhprJ4MhkMFWFrH/2yJhtZh8V7iaag5dhSp39o3RNVVWlaeFS\n3u6IY6qncCiwwhMlEZsdc6aFyBhbyjuUObL7s7GxGY2ilLdMOqY9SR33acZHih5FYJLM+dBcDlR1\nbkjEXNEYak5HdznJ+qyNXCSVd+SdwHxpgVE7pqHhzryT4ejBDKeOa7gc1Uhp0Nt3alLnGyt1DdMj\n533pWBQJXNzow++a3rlMIQTKNTej/Pk3oKoWjh60ImV2vzXmc8gTx5GvPGcVEnfcW8LVnhlhJAl0\nPYJiJnB0bMXTt2NC51le4+G7N7Zw13nVCAFPHOjjM1uP8l6HJfu3TJCCU26CpOa6UWQWQwvRnzTZ\ntm0bUkravIs4rtazvtnPl65txucs79ndsWA6HcQarO+CivaTiEGmU6d3S2FQYVqtDXRLgwFbxmtT\ncqxZUzjc9wKp/KjP6Vxx0Xm83e7BdL4HwHmVcfpPTa2xXMmom5c3QOq1DZAGYRemNjZznUIXpgxm\nTKWUhJM6bnNox3RAxju35kuL3dKqquJGrtgxnURhWnDmVU8rTF1ugcMpMHIQUFR6kjqp3MTcbTtP\n5nj/Het1Wrx4qDtvqSnGxnSWNjamlG68Y0UsWo7yxe/C2ksgEcP8h7/BfPRBpHn218382X9ahcTm\n6xF1jdOw2pHxh7eiGnEMzZLjBnqexN3/5oTO5VAVPnlBLd+5oYVFlS464jm++Gwb//uNDlIoJTFB\ncuRlvFlnI1u3biWdTtPjqOageylbllbwZxubcKpz53MpUVtN1uNGy+UIdFo3Lq1u6fbibGmBcJc1\nDlBZrQ6dL7WxKTEhdzPzA5dgyhz7e7aOeMy8efPoNyo5Ee/HVNtwKJKq6MiGSeWGbYA0MnPnk9bG\nxmYYMpeDSC8oCoSqZ3o5RDMGuikJcnrHtODIO3cyTJVcDne/1ZFLVoUAyOhxErkwqnAScM2b8LmN\nvJRXy3UPmesTQhQNkJZ5LHOWtsj47x5HIwZvvZoACcvXuLjgIktydPTo0WmZ3/H6Vfz52JjecGli\nY05GsxzqSePWFC5p8pfkGmNF+IMof/AFxO33glCQW3+Cef+XkNGRuwQA8uD78N6b4PIgbrlnGlc7\nFGfiIJ7Y20ihEWn8DbLzLQlooPvnuOK7J3zexVVuvn19Cx8/vwZNgacORfh/nzjKO6uvBfImSMnE\nlPwbtLzx0d7jKbq7u0kqHt73n89da2v4n5c1oJZwpnpGEIL+5iYr27QrjJZKI7cN6pbWWvL9bNYk\nGtFRFKj0S5yJBFIIMsHpk73bnNusrr0dgMO9z5HOj/sMRgjBeatX8na7F9Npfd60aFGU9OT9FaYD\n0ZKfM221C9MCc2MHaGNjMzK95ZVh2pPPMPVjfWkMd+StwDtH5ku9vX0ILJMQ02FJUyNpS8Ybci9A\nmaDxEYBU3RhqECF1FH1o8VIwQGp0WQYt4y1M0ymT11+MY+jQtMDB8jVuamtr8fl8JBIJuru7z36S\nKaBunvUz6y7RnOmOY1a39IpmPy5t5t9zQlFQbr4L5bN/A4EK2Pcu5t/+EfLQ3mHHSikxH/lP63lb\nbkcEQ9O9XOvaZoZA988BSFRdh+Gsxai9injVhxFIgh0/xpk4MOHzO1TBPWtr+M4NLSypctOd1Pmb\nd1L882W/Q8IUyDe2T8m/o9AxffdwPzoquwMX8ZuXNfHJC2pn1kyqhOS8XhI11Va26ZGjyNd2DOuW\nRvIxMRWVKp5EHAFk/D5kGXyX2JwbVHoW0hRYhyGz7A9vG/GYFStW8N5JD7qIYKrHUAW42sc/rz8j\n5Dum8rjtzFtg5r+NbWxsSkdRxlse86XhfIZpwfyo0DEdLOWdEx1TKfH2DDU9gsEy3oWTvsTAnOnI\nBkhVWIXd8XEUprouefOlBOmkpLJa5YLLvAghEEKwaNHMyHlLYYAkpSzKeKfLjXesiFUXoPzV/bB0\nNUR6Mf/u85hP/3xIpzr35otw5AAEQ4gtt8/YWn09T6PqEXKuRpKhjcW/T1ZeQzK0EYFBRcdDOFKt\nk7pOS6Wbb1+/kPsurEVTBM96l/GZSz/Hm2/um3wHX+qoGcuh9mS/gwPB8/jdq5Zzy4qqyZ13FhCb\nV4+habhyOr5V6xBXXFvslgL0FWJiak6bL7WxmUYKXdMPen9FWo8Oe7y6uhpfRR37Ot2YrveQUlIR\nj6Bmyr9rahsgDWcO7ABtbGxGo+DyKarKxZHXyjBVc1YURKFjWpTyzpGoGGc8gZbNYjgcZAIDG7m+\n/AZ9Mo68BfR8YXr6nGnRmVe3fo7H+1JjOp+UkndeTxLpNfD4FC7d6BtiQjXdhWlVrYaqQbTfJJWc\nWpfFI30ZTkSzVLhVLmgoP3dREapG+eOvIK6/A0wT+dP/g/kvX0cm40hdJ/3f/2Ydd+s9CLdnRtbo\nSLXi6X8NiUKs7mMgBnXRhCBefROpwCUImaPi1H+iZSZnnKUqgo+tqeb+m1pYUe2i1xXia403c/8v\nDxDLTFzuHe06hIJJd1zlkGspv3/9JWV3s6JUSFWlP2BJ/kMbrke9/qNDHu/Ld0yrqgSuWBywImds\nbKaTKs8i5vkvxJBZDvaM7Pq9cuVKdrV7QImRUU6gAIGOWdA1rZsHHq9lgBQZORbnXGP27wBtbGxG\nJ1w+xkdgZZhqMgemgdPpxOVyAYOlvHPD/GjA9KhyiHtlX3ryjrwFDIf1mmq507NMrZ+fTINg7FLe\n/bvTnGrPoTng8k0+XO6hr0NzczOaptHV1UU8Hp/0+s+Gqgpq6krTNd1+1JpV2rgwWLbzg0LTUD72\nmyif/jx4fPDOa5hf+Rzykf/EPNUGdY2IjVtmZnFmjkDXzxBIkpVXoY80Ly0Esbo7SPvOQzHThE7+\nO2p28qYkzRUuvr6lhd9QW3EaOV7ohj984givtcXGfa6eeIp333gKgKOxAL9z27VcOK/8blSUkuSz\nj5E6dhDF5aEiY5DJmLQeyvDSr2J0d1gd03meDIppknO7MZyzM8PVZnazJu/Qe6j3V2T04b/ry5cv\n54Owi2haQfO8hSnB0xdBS5e3Q+9QAyRbzgt2YWpjM7fJR8VQNlExOTz5qJhAIGDNb0k5IOXNVMz6\nDFOh63gi/XnTowEZb85IEct2oAiVoGv+pK8zWsfUDR6XFQAAIABJREFU4VRwewTShAAqbf1pjLM4\n27YdzfDBvgxCwMUbfMWu62A0TaO5uRmA1tbWSa9/LBTmTKcyNsYwJS8eszY2M+nGO1bEhest194F\ni6G7A/mrxwBQfu0+hDYzmZq+vufQct3ojjoSVdeOfqBQiDbcTdazFMWIEzr5g2Je8WRQFcHtV6/l\n73d+l9X9rfSlDb6+4wTffukE/emxvVe64ln+vx/9goV+671Qv/gSltd4J7222YTsOol8/QXCLz+N\nCXj7Iux5povdb6fo6zFQVVh5np+KtHUjKm13S21miGrvUhr8a9HNNAd7nhr2uN/vp7GpmXdOeEBJ\nEDF6EEDgVOf0L3aciIX5OVNbzgvYhamNzZymKOUtk45pT1IvzpcWZLzCTCBkjozuQjjcaFp5drDG\nircvgpCSTMCP4RroLkTSxwFJ0DUfVZl8QWHkI2NOnzGFATnvQpeLnCHpTozecQx36by703pNzlvn\nKWaIjkRBznvkyJEJr3s8FArTcGcO05gaN+A9XUl6Uzr1fgfLq91Tcs5SI2obUP7iW4jN1wOgrjgP\n1m2YkbVo6RN4+3YgEUTrfg3EWd7LQqN/3r3kXM2oeoTQiR8gjMl33EVDE40L5vHlXf+b364I41IF\nLx2L8YdPHLXyac8we3q8P8PfP/IcgWQHTRVWIRuoWjrpNc0mTFPS+eQrvLPqd3h63Vd5s7sCgI31\nfTTMU7joci9bbqtg3eUh3NH8fKldmNrMIGtq7wDgYO8zZI3hjtwrVqzg7Xbr5pLH/yq6BE9/FC05\ntnGWGSM/Z2oXphZ2YWpjM5cpSHmry6MwtTJMh0bFzCkZ7xDTo6HmKVORXzoYUw1gCheKmUSc9iUd\nDFmFaVO+MD7YM7KcKR4z2PlyAmnC4uUuWpa6znjNQmHa1tZGLlcat9zBeH0K/qCCrkNveGq6pkXT\no4XBWeW4KhxOlPs+jfKlf8T/l9+ambVLg0DXIwhMUhVXoHvGZuIlFReRxt9Edzag5boJnfwPhDl5\niZ3YfD0Kkpveepjv3dzC2nov/RmDb790km++eIK+1PD3zP7uFN98/E3m9R9EUyQNAR2JMrIceY4h\npaQ3rLP7rSS/fDTCm+7rODnvSgzhoE2ESAonIafOtctSzG9xojkESiKBmtMxHBo5z+y4kWMzN6nx\nLqPetybfNR2eY7x06VJ6U06O9zlwaFFaU3mTxY7y7poOGCDZUl6wC1MbmzmL1HPQn88wrayZ6eUg\npcxLeUdz5J39Ml5HKoUjncZQ1WHulcXCdAqMjwAQYnRn3qBVmM53WIXm1gN9w56ezZi8sSNBLiup\nb9RYfcHZN50+n4+6ujoMw6C9vX2y/4IxUV+Q83ZMvjDNGSav5GcRNy+and0f0bRwxgyPvH07cGRP\nYWiVxKuvH9dzpeoh0vhb6I4qHJkTVJz8LzAnd3NDXHQF+IPQfpSG8DG+/KFmfu/Setyawqttcf7w\niSO8cLS/2D3deSLO157ex5LIewjg2vXLEEKiO+tAmbuzk7Gowf7dKZ7bGuPlZ+O0fpAlmxP4EidZ\nnt3FtTcH2HBdkOQSa8TA39WNms+B1HosQ5Z0MDhkXt7GZiYodk17niZrJIc85nK5WLRoUbFr6na/\nRxaBOxrDkUgOO1fZUNtgGSD12wZIYBemNjZzl94wSAmh6rLIME1kTTKGxCsHZkwBlFzBkXf2d0y9\n+U1cqqrSuiEwiL7U1BkfFRhtzjQYsq7tNVUCLpX94RT7uge+mE1DsvPlBIm4STCksm69DzFGE6AZ\ni405OfkO7dsnEySyJosqXSyoOHN32GYoarYLX++zAJaEdwKFnKkFiDT+NoYaxJk+SkXHQyAn7qgr\nHA7Ehg8BILc/hSIENy6v5J9uWcSF83zEsibffeUUX93ezs92d/KN51tZ1b8LTeosXryEC5dYNyd0\n9+RnvsuNdMrk8IE0O56J8cKTMQ7tzZBMmLjcgsXNOa5846/Z/PrnWX79Cnx+6/sh6/eRqKpESEmo\n/QRIiZZXgNgyXptyoNa3gjrvKnJmkkM9zwx7fOXKlew+5SZnCBqCh3mh33J0D57qmO6ljhnbAGko\ns3sXaGNjMzo95ebIaxUWPnmalHeOZJgKw8DTZxm7DM4uBTDMLNHMCQSCkLt5yq452pypP6CCgFTc\n5NaVVvH62D6raJZS8t7OFD3dBi634LJNPjTH2DshgwvTSWdIjoGqGis2JhadfGzM9kEyXptxIM28\nC69BKnAJOe/E5zFNRyWRpt/CVLy4kgcIdj4McuKvq9hkORPLN19EJi1Je63PwZeumc8frm/A51B4\n80SCf3rpGKtiu/EZCaqqqtiy5cM4MycAyE2BGVk5kMtKjh/J8OrzcX75eJS976Tp7zPQHNC8yMkV\nV/v48K1BVh38IRXRoyjrr0HUNQ45R7SxAUNVccUTVuc0kcBUFDL+c8ut2KZ8WV1n5Zoe7H2KnDF0\nfnThwoWgetjbYd14NDlCBoErnsAZK72b/EQRxTnTQzO8kpln9u4CbWxszogMW3MVokzmS3uSlhTT\nqQ81PxrsyDubO6buSD+KaZLxedHdQ2WxkUw7EpOAqxFNmbpOne7Id0xPi4xRNYHPryAlfKi5Ck2B\n19rinIpl+WB/hrbWLIoKl23yjVs+XVtbi8/nI5FI0N3dffYnTBJFFdTWF9x5J941TeYM3jxhbUw2\nzQI33nLC0/8azvQxDDVAvOamSZ/PcNYTafwNTOHEHX8Xf/gXlrpjAoiGJlixFrIZ5BvbB/5eCK5b\nEuIfb1nEpU1+lqSPUJvrxuVyccstt+B0OtEylhxdn8WFqWFITrVn2flygmce6+fdN1OEu3QUBRqa\nHFy8wTIxuvAyLzX1DujpRL76PCgK4uY7h51PahrRJmveNph3NM0E/MMUIDY2M0WddxW13hVkjQSH\nen855DFN01i6dGlRzntJzT5+2GO9d4MdnRP+nCk5RWdeu2Nqf9LY2MxVCh3TcomKSemoZg7FzKFp\nGh6PNSc3WMo7m2dMfaOYHgH0pVqBqZXxwuCO6fACMViIfEnB5pYKJPDMzgj737M61uvWewlVjd8d\nWAgxY3LezkkUpq+3xckaktW1Hmp9ozsP2wxFyfXhyxuNxGpvQ6pTM9+qu5vpn/frSKHh7X8N32kb\nzPFQcCuW258e1sWv8mjcWtlDS/IwQghuuOEGQqEQwkij5cJIVHRXeXxGjhUpJeHOHO++keSZx/rZ\n+XKSU+05TBOq6zQuuNTDltuCXLrRR2OzE1UdUETIrT8B00RcfvWwbmmBVGWIjG+gQ2rLeG3KCSEE\nq2utrumBnifJGUON1FasWMGRHieRlEbIFeX9VBcpFJyJJK4y7ZraBkgDzN5doI2NzZkpQynvsAxT\nTjM/mqUdUyWRxJlMYioK6YqKYY8POPKOzcV0rBiOKiQKih4BMzvksUJkTKQvx+2rqqjFQbDTKshW\nne9m3vyJm71Mf2FaiI3RMSYYG1OQ8V41S02PZgQpCXb9DEVmSfvXkvWvmdLT57yL6W/4BBIFX9/z\nePpenNB5Bpsg0Toghevq6uInP/kJ27dbndQNGzZYUj9Ay8t4dde8s0felAFSSvr7dPa+k+JXv4jy\n6gsJjh/NoucsF+7VF7i57tYgG67xs2CxC4dz+Gep7O5AvvY8CAVx812jX0wI+psbkUIghSBzmpGb\njc1MU+9bQ7VnKVkjzuG+Z4c81tTUhM8fYFe7pVy6ueYI/xm2fh8CpzrKs2ta2wAeX94AqWemVzOj\nzM5doI2NzVkpZphW1c7wSix6kjpu8/QM0wyKmUI3NQzFh2Mcs47lhCNvR5+qDCHV4R+rxY7pVDny\nFhAqhqMGgUTLhYc8FKiw1tHfl6PW4eAmRyWaEOghkyUrJycnbm5uRtM0urq6iMdLfwfa41UIVCgY\nE4yNiaR03u1IoArYsMAuTMeKO/Y2ztQHmIqHWM2tJblG1reKaP3HAAj0bMMdfXPc5zjdBCmTybB9\n+3Z+/OMf09nZic/n44477mDdunXF5zjyMt5cmRsfJeMGB/emeeGpGDueiXP4QIZ0SuLxKSxb7eLq\nGwJcdX2AJSvdZ1WcyG0Pg2Eg1l+FqB+5W1pAd7sJL11Eau1qTK38C3ebcwshRNGhd394K/qg+Ckh\nBMuXL2fXCUvdcUXVUR7pyZFAwZlK4+6Pzsiaz4RlgLTY+sM53jW1C1Mbm7lKsWNaHjK1cFLHbQw1\nPhoq45155+AJYZo4uiwp7UgyXlPq9GfaAAhNcccUBjvzDjVAKmSZ9vVkeePFOA6pcNLM8FisB92c\n3B1jTdNobrZMnFpbWyd1rrFS6Jp2nRp/Yfry8RimhHWNPoKuWfo+m2YUPYo//AQAsdpbkVrpumaZ\nwEXFwjfQ9XNc8d3jPofYtAUJHNy/jwcfeIB3330XgAsvvJB7772X1atXD8l+1dLlO1+ayZi0Hsrw\n0q9iPLs1xoHdaeJRE4dT0LLUyZUf8vOhmwOsXOspKiPOhuzuQL76XL5beveYnpPz+TBGUIDY2JQD\nDf61VHkWkzFiHO59fshjK1eupDep0drrwqHobKo8xg+6813TMp01HTBA+mCGVzKz2IWpjc0cROo5\n6OsFoUBl9UwvB4CeZG5Yx7Qg403M4qgYd38UoevkPO4RA+ijmZOYUsfvrMepeqf8+gNZpkPnTH0+\nBUWFVNIk1m/iCygcCqboyxhFWetkmLHYmAnMmRbdeFvsTfZY8Xc/jmKmyXiXk/FfWPLrpUIbiFdd\nh0AS7PgxzsTBcT0/4vLy+JpNPNO4ikQySUNDA/fccw+bN2/G5RquECh2TMukMNV1SfuxLK/viPPL\nx6LsfjtFX4+BqkLTAgeXbfKx5bYgay/2UlWjDSmyx4J88qdWt/Tys3dLbWxmA0O6pj1b0QeNs9TU\n1FBVVc1bbdZ38p0NR/hRN8RQcaQzePoiM7LmM9KSL0xbz+3C9Kz6jJMnT3L//fcjhEBKSWdnJ3ff\nfTebN2/m/vvvp7u7m7q6Oj772c/i9U79psvGxmYC9PVYEQxVNQitPIxeepI6i83To2LyHdPM7I2K\ncUetoidZWTliAH2pjI8K6HkDpNOdeYUiCARV+vsMHE7B5Zt8iG7J/a+e4tF9vXxoccW4N7eDKRSm\nbW1t6LqOVmK5X1WNhqZBPGqSTJhjvpHREctyIJzCpQoum+8v6RrnCq74btyJPZjCSaz2jhHf16Ug\nWXktipHC2/8yFR0P0tf4KXTPmVUGuq6zc+dOdu7ciam4cOk5rsj0cd7H/gBlFCdZocdR9QimcBZv\n7MwUsX6D3Tt7aDuWxMiLAYSwbsQ0LXDS0OQYV5zTSMhwJ/KVZ88+W2pjM8uY57+ASncLfelWjvQ9\nz/Lq64uPrVy5gp2vd3PrmhjLvB00uKL8a1eQP66DQEcXqcrQtH22jQWxcAkS4Lgt5T0jjY2NfOtb\n3+Kb3/wm3/jGN3C73Vx22WU8+uijrF27lu9973usWbOGn//859OxXhsbm7GQj4qhTKJikjmDZM7E\nm++YDkh5B4yPvN7y+YIYM1LiilnZiZngyEVPqYyPChiOkTumYHVa3B6FSzf68AVUNi4MUu3RaOvP\n8vbJxKSu6/P5qKurQ9d12traJnWusaAogpqG8cfGvHjMunFweXMAtzY7b35MJ8JIEuh+HIBEzY2Y\njtA0XlwQr7mZVOBihMwROvUfaJlTox7e2trKgw8+yBtvvIFpmqxauZJPntjNmiPvIc4gh3MUY2Ka\nLFXJDJHNmLz6QpzWw1ZRWlmtct46Dx/+SJDLN/uZ3+KcdFEKg2ZLL7/KitexsZkjWF1Ty6F3f3gr\nxqCu6fLly8kaCu93WF3TT8xv5eFuiAgVLZvF29s3I2seldp5eQOkvnPaAGlcn8i7d++mvr6empoa\ndu7cyVVXXQXA1VdfzZtvjt+wwMbGpjQUjY/KJSomn2E62JUXBjvyzs6OqZbOoOo6ptOBPoJcEKAv\nfQwogfFRnkLHR82FrS75IJasdHPHJxqprrW6mQ5VcMuKSgAe3d876WtPu5y3YXxyXinlgBuvnV06\nJvzhJ1CMOFn3IlLBy6Z/AUIQq7uDtG8Nipmm4uS/o2aHGnvFYjG2bt3K448/TjQapbq6mo997GN8\neMsWvOutfYnc/tSolyjml86w8dH7u1Jk0pKaOifX3hxg43UBFi1z4XJP3Weh3S21mes0BtYRci8g\npfdxpG8gyzgYDFJfN4+383Le66sPI5H8S4f1++Xv6ALTHPGcM4EQophnei4bII3r0++VV15h48aN\nAPT39xMKWXdSQ6EQ/f39U786GxubidGT755Vl48jryINNDOLoij48hl5atH8qGJWzpi68o60Rmhk\nSZApTSL5wrQUxkcAUnFhaBUIqRel0YM5Xa67ZVkIt6bwXkeSI73pYcePh8GF6en5kaVgvLExxyIZ\n2vqzBFwqF87znfX4cx1n4gCe2C6k0IjV3TFz3UShEm24h6xnKaoRJ3TyByh6P4Zh8Pbbb/Pggw9y\n+PBhHA4HGzdu5J577qGx0ZqbFJu2ACDffBGZHFkV4EjP/Hxpx4kcJ47lUFS44qoqfP7SmHINdEs3\n291SmznJ4K7pvvATGObAjcvVa1bS2uekL+nEQ4xbm8I8Gpb0Cg0tl8PbM/kbtFOJyBem5/Kc6Zi/\ndQpzHOvXrx/x8cnMKtnY2EwxPeUl5Q0nc7iNAeOjwueFMss7poWwbj00sqlOPNuBbmbwOqpxa6Xr\n2BXkvKc7846E36ny4aXWeh/dN7kv5draWnw+H4lEgu7u4VLiqcbjVQhWKBgG9Haf3Z230C29ckEA\nTbG/o86EMDMEuh8FIFF13YzPXiI0+ufdS87VjKpH8B/7Po/+9EFeeuklcrkcS5Ys4d5772XdunWo\n6kBRJxqaYMVayGaQr28ffl4pcRQyTN0zU6hlMybv7UwCsOp8D4GK0vgAyJ4uu1tqc07QFLiYCtd8\nUnovRyMDecjLli1DCJW32i1F070LWpEI/uFU3qG3sxtRRl1TbGfes5sfFXjnnXdYvHhxcTYsFAoR\niUSK/18xiqX4nj172LNnT/HPd911V1HGV244nU57beOkXNcF5/baYpEeDMDb3IJjnNcpxdriRgx3\nXsZbWVlpnd/MoRoxTCnIyCBVVcGz3uAqq9dUSlwJa3Op1NYQGMFopStj3SCo9S8p6boVfxOkPsAn\norhOu85IP7OPr3Oy9UAfLx2P8fsbndT5J55runz5cnbt2sWJEydYsmTJuJ47kddzfovB3ndj9PUI\nFi8b/bmmlLx0/AgAN65uGPd1yuq9dhqlWJuj7UnLEMjTjNp8IwExsQ7e1K4tQEz5FMq+vyPk6OMj\nS+M8oi/imutuYunSpaM+K3v97SQP7Ea89Az+W+9CCFFcl8j2oRhxpOrFW7lwRsxPXtnZQyYtqW1w\ncf666pK915I/+leyhoFj43X4lq2a0DnOtd+DqaJc11au64LJr+3iBffw3KG/40DPE5zffBOq4iAQ\nCDCvoYVd7Yf40LIYTfIQ59WuZ2u3wR80uajRM1TG4uTmn/km1XT93IzVFxADRNsR/H7/mJp+5fya\nAvzkJz8p/veaNWtYs2bNGY8fc2H60ksvceWVVxb/fPHFF/PCCy9w++2388ILL3DJJZeM+LyRFhGL\nxcZ62WklEAjYaxsn5bouOLfXZnRahiEpb4D0OK9TirWd7EvgyRsfeb1eYrEYajaMB0hmA7i9KvG8\nLHa61zZRHIkkAcNAdznJKsqI6zrZtx+AgDa/pOv2ECIA6LF2Yt6h1xnpZ+YTsGFBgJeOxfjRW+38\n5rqJd9bnz5/Prl27OHDgABdddNG4njuR1zNUZUl4248lWb5m9K+wPV1JuuJZar0aC3xy3Ncpp/fa\n6Uz12hypo3jCO5AoRGruQI8nZ3xtUkr27NnDK6+8gia9/M76FE0VOX53c5b+2qozXkOuvBD8Qczj\nR4i99xZi8Yriulzx/biBrLOJ2Bg+c6aajhM5Wg8nUVRYu85JPB5HCDHl7zXZ04X5wlMgFIwtvzbh\n859LvwdTSbmurVzXBZNfW7VjLUFXI9HMSd5vf4rFlVcDsHLlMp57/ghHe30srk7w6WUn+f3uBr7b\nLvnqPHAcb6fP70Oqo9+Mm66fm/QGwONDRnqJtR1DjCHur9xf07vuGp9aY0zauUwmw+7du7n88suL\nf3f77beze/duPvOZz/D+++9z++23j2+1NjY2JUHquhUXIwRU1cz0coCClHeo8dFgGe+snC/Ny3gz\n/tEjSAqOvKGzRF5MFr3gzJs7u5S3wO2rqgB45oMIyZwx4Ws3NzejaRpdXV1jurkwWSprVDQHJGIm\nyfjo696Rl/Fuagmi2KMmo2PmCHT9DIBk5dXornkzvCDo7u7m4Ycf5rnnniOdTlNZ10J/06cw1CCu\nTCsVHT8EOfprLxwOxIYPASB3PD3kMS09c8ZHp0t4fYHSzJUCyG0/BUNHXLoJMa88slptbEqJIhRW\n19wGwN7uxzGlNe6xYuViFOFgZ5slmV+t7WFhyMUzvSYdihPVMPB1h0c973Qy1ADp3JTzjmk36HK5\n+MEPfoDH4yn+nd/v54tf/CLf+973+MIXvlA0M7GxsZlh+vLurKHqssowdZ8WFTPgyFuBxzsLC9N8\nEZYJjFyYSilLnmFawChkmWa7YYwmRMuqPZxX5yGZM/nlBxM3r9M0jebmZsCK7yg1iiKorS/Exow8\nZ5ozJC8fs914x4Kv91m0XBjdWUei6poZXUs2m2XHjh386Ec/oqOjA6/Xyw033MDtt9+Ov2YRkcbf\nwlQ8uJL7CXY+PMyFejCjmSAVomJmwvio4MJbVauyaJmzZNeRPd3Il38FQiBuubtk17GxKTeaK9YT\ncDaQyHVzLPIKAA6Hg9qaFvZ1uMkaGs5MO7+9xgQE37HGzfF3hRH62X0LpoOiAdI56sw7+3aDNjY2\nZ6a3vBx5AXqSueKMaTEqpujIO/s6psI0cSaSSCDjH/mmXCLXTc5M4lKDeLTKkq7HVP2YihvFTCGM\nsXctb8t3TX+xvxfdnLir7rTHxsyzJLydo8TGvNuRIJY1WVDhZGFo4vOzcx0tfQJv5EUkgmjdR0GM\nebpnSpFScvDgQR544AHeeecdAC644ALuu+8+li9fXpyzMlz1RBp/E1M4ccffxR/+xag3YkY0QZIm\n2gwZHw124b3wUm9JDSPlkw/b3VKbcxJFKKyuzXdNw49j5pUVy5auIGcKdp+yvq+v8B1gYYWLF3ol\nJxQXimni7yqPrikLlwHnrgHS7NoN2tjYnBUZLmSYlocjb0Y3iWXN4oxpoWM6mx15nYkEQkpyHjdS\nG3kzPzi/tOSu5UIUnXm13NjdcS9p8tMUdNKd1Hnl+MRnVFpaWgBoa2tDn4a7zsXYmK6RY2MKbryb\nW85uqHXOIg0CXY8gMElVbEB3L5iRZUQiER577DGeeuopEokE9fX13H333Vx11VW4RsgG1t3N9M/7\nH0ih4e1/DV/vL0c9t7jqBgDkjqeQUqLmelHMNIYawNRGNmwsBdMq4e3pRr5kd0ttzl0WVFyB31lH\nPNvJ8f7XAFi5egGq4uHN49b3tTu+i7vPsyIvv91mPc8XDqPkxpaRXUrEICnvdMSwlRuzazdoY2Nz\ndopRMfUzu448PUkdIU2cZgYhBP78TGZRypupwDvLpLzOmCUNzI4i4wWITJOMt4A+WM47RhQhuG2l\n1TV9dF/PhL8E/X4/dXV16LpOW1vbhM4xHtwehWBIxTSgp2toIZzWTV5vs4rszbaMd1S8fTtwZE9h\naJXEq7dM+/V1Xee1117joYce4vjx47hcLq655hruvPNO6urOfFMt511Cf8PHkSj4+p7H0/fiiMeJ\nC9eDPwjtrRgf7EPLzMx8aVHCW1NaCS+AfGrwbGlzSa9lY1OOKEJlVXHW9DFMaeL1aYSCi2iPOOjP\nelGNOFfXnKK5wsnLEZPjqhvFlPi7Sh97dlZqG8Drg2gEIuWVszodzK7doI2NzdnJd0ypKY+OaTgv\n4xVYBYySj1UZLOWdbR3T8RgfVXpapmFFFHMntTFkmQ7m6kVBKlwqh3szvN81cTfWmZLzdp0m532j\nPU7GkKyo8VDvL20RMFtRs134ep8FIFr3a6BM78/p2LFjPPTQQ7zxxhsYhsGqVau47777WLt2bfHz\n4WxkfauJ1n8MgEDPNtzRncOOGWyClH32CRzp6Z8vHSLhvazEEt7ebuSLv7S7pTbnPC2hDfgctcSy\np2iLvg7AopblgODNY5YSwxN7m7vPswwiv3ncuinrC/eiZGe2a2oZIOXjsM5BOe/s2g3a2NicFdlT\nXlLewcZHxawtaaLoluFO0gjidM0euaXQDRypFFIIsqOYvkkp6S12TEvryFtgIh1TAJemcNNyawb2\n0b0Tvzs7uDCdDvlRQc57ugHSjlbrfWWbHo2CNAl2PYLAIBW8hJx39DzQqSYej7Nt2zYee+wx+vv7\nqaqq4qMf/Sgf/vCH8Xq94z5fJnARsZpbAQh0/QxXfPewYwomSNlXn0dLWfJ6fZoK0+mU8ALIJ/Pd\n0ks22t1Sm3MaRWisqv0IAHu7H0VKk0WLG3CoFbx13IFE4Ers58omhflBJ29ETI5qHoSUBDrHd3O3\nFIgFBQMkuzC1sbGZ7fSUV8e0J6kXo2KK86VGzJpty3lxeV2zag7QFY8jgKzXi1RH/ghN6xEyRhSH\n4sXnmB4TqonMmBa4cXkIpyrYeTJBW39mQtevra3F5/ORSCTo7i69HKqyWsXhECTiJol8bEw0Y/D2\nyQSKgCsXlm/g+Ezi6X8VR/o4hhogXn3TtFzTNE127drFAw88wAcffICmaVx55ZV8/OMfp6lpciZE\nqdAG4lXXIZAEO36MM3lwyOMDJkhptFS+YzpNxkfTKuHt7Ua+ZHdLbWwKtFRsxOuoJpo5SXv0TWrq\nNHyeRcQyKicSlQgMfIl3uXut1TX9xjGJBLxzg4ILAAAgAElEQVQ9vaiZ7MwuPt8xPRedee3C1MZm\nDiENw4qLAagsD1fecDJXND4a7shbMesceQdiYkaPyBqQ8S6ctqLbcFQiUVH1CMIcX3FZ4da4ZpFl\nBvPYvol1TYUQ0yrnVRRBbUNBzmt1TV8+FsWQcGGDj5B7Zhxmyxkl14u/x8r1jNXejlQ9Z3nG5Dl1\n6hQ/+tGPePHFF8nlcixevJh7772Xiy++GPUMgfbjIVl5LcmKKxEYVJx6sNgZLaDc+Vto80MoKuhJ\ngWmWXro8WMJ7QYklvADyyUdAz3dLG2fGyMrGppxQFY1VeUXFnu7H0BzQWG8VfK8csn4f3dG3uHJB\ngPlBJ29HDA5rXgQQ6OicqWUDIFoGpLznmgHS7NoR2tjYnJlID5gmhKoQjjLJME0Nl/IOceSdpcZH\no+WXAtOWXzoEoWI4rTu/anb8tvcfWVWJAF44GiWSmpiz7vTPmRbkvNZM0I5Bbrw2pyElwa6fI2SO\ntP98sv7VJb1cKpXi2Wef5eGHHyYcDhMMBrn11lu55ZZbisqJKUMI4jU3kQpcjJA5Qqf+AzVzauDh\nhUvwf+p/AJA7FsH8568gsxNTBoyFIRLetW78pZbw9oaRLz1jdUtvtrulNjYFFoU249Gq6M+0cSL2\nNk3NlbgctezpcJCTLhzZU7hyp7jrvGoAvt5qIgFPXwQtnZ65hdfUg9dvGSD19czcOmaA2bUjtLGx\nOTMF46MymS+FfIbpaVJeNVdw5J1dGaZKNocjk8FUFHJnmIkrRsVMZ2EK6Hk5r5ob/4zM/KCLy+b7\nyZmSrQf7JnT95uZmNE2jq6uLeHzseaoTpWCAFO7S6Yxm2dudwqkKLm8e/abBuYo79hbO1AeYirc4\nl1kKpJTs2bOHBx54gD179qAoCpdccgmf/OQnizcuSoJQiNXdQdq3BsVMEzr570Nu0Dh8ViGa65Ow\nZxfmP3wZmSnNxnOIhHd56XN05VM/tbqlF1+JaLK7pTY2BVTFwaqaWwDY0/0o1bUqfvciDFNwsNeK\ni3FH32LjwiBNQSfv9RscdPjyXdOZmzW1DJDysTHHz60509mzI7SxsTkrMh8VI8okKgYgPMj8qFiY\n6gNS3tnkyFuQ8Wb9PjiDNG+6HXkLDDjzTmzG87ZVVnTMk4ciZHRz3M/XNI358y1jmdbW1gmtYTy4\n3AoVlVZszCt7rYiYS5v8eB2l7VDNNhQ9ij+8FYBY7S1IrTSFezgc5r/+67949tlnSafTzJ8/n098\n4hNs2LABx3QoOIRKtOEesp6lqEac0MkfFE3WlETe+OjaX4eKKjiwG/P+LyFTE3eiHolpl/D2hpEv\nPmPPltrYjMLiyqtwayEi6WOkPbsJeFoAwfb9ljeBO/YOqjAGuqZHDaQQeCL9aMnUjK17wADp3Joz\nnT07Qhsbm7NTZlExOcMkmsrhys88FjJMB0t5Z1OG6VhiYjJ6jGSuB1U48TsbpmtpwMSdeQusrvWw\nrNpNLGPw3JH+CZ1j8eLFwPTHxpw6acl5bTfe05CSQPdjKGaajHcFGf+FU3Ja0zQJh8O8//77/OpX\nv+Khhx7ihz/8Ie3t7Xi9XrZs2cIdd9xBVVXVlFxvzAiN/nn3knM1o+oRQif+HUWPItInkQiMxotQ\n/vRrUFkDH+zF/O5fIRNT092fbgkvgHzqkUHd0ulxALexmU2oirPYNd3f8xjV9T48zkZO9mvEzAoU\nM4krsZ9NC4M0Bhzs6TfYp1keEsEZnDUtzJnKVrtjamNjM1vpKS8pb29Kx2VmUJD4fD40zSoiilLe\n2dQxlXKQ8dHZ80tD7oUoYnr/bQPOvBOTIAkhuD3fNX18fy+GOX7ThZaWFgDa2trQ9YnNqo6Hwpxp\nMKvhcyqsaxzdlOpcxJV4H1diL6ZwEau9/Yyd/jMRj8c5fPgwL7/8Mo888gjf//73+eEPf8hzzz3H\n3r176enpQVEULr74Yu677z5Wrlw5Y27bUnERafwNdGc9Wq6LyvZ/QUgDw1GLVFyI+karOK2ug6MH\nMf/+C8h4dNLXnXYJb18P8kXLzMrultrYjM7iyqtxaxX0pY/irNuP370YELxz0voud0ffQlUEd+Zz\nTb92xMAUAnc0hiMxtaqKMbPw3DRAsm0LbWzmEOWWYRoeMcNUouSlvEk9iMs9O6JitEwGNadjaBq6\ne/RNZ1/eEXS6ZbwAel7Kq2Z7QBogxt+xuaI5QJ3PwclYjjdPxFnfPL7YFb/fT11dHV1dXbS1tZV2\nrhCorFIxFUmFqbG5IYhjlAifcxFhJAh0Pw5AvOZGTEdoTM/L5XJ0d3fT0dFR/N9IM8PBYJD6+noa\nGhpoaGigtraWyspKYrHYlP47JoJUvUQaf4vQie+j5Syn6cExMaK2AeXPvo75nS/A8SOYf/e/UD73\nZUSwckLXm24JL+RzS+1uqY3NWdEUFyuqb+Ldzv8mrD2Bx/1plJjGS/szbJyv4EweRNFjXNUS5Cfv\nhzkQzbHXEeC8bJTgqU6yDTMwHlUwQIr1WwZIVTXTv4YZwC5MbWzmEmXWMe1J6rjNocZHwkyiyBxZ\nw4nqmp4N3FRQdOMd63zpNBsfAaA4MbQQqh5BzfUWZ07Hg6oIPrKykn97q4vH9vWOuzAFq2va1dXF\n0aNHS16YIuAUWZpwcZ5ndEOqcxF/eCuKESfrXkQ6eOmIx0gp6evro6Ojg87OTjo6OgiHw8Pu0Dsc\nDhoaGoYUot4zGICVA6YWJNL4KSrbv49qRNHdQ42BRFUtyp9+HfPvvwgnjmF++/Mon/sKorJ6XNeZ\nEQlvX481W4rdLbWxGQtLq65lf/gJovoRPKHDeKILSKSP0Jmtp8F5CldsF2blZu46r4bvvXqKrx7O\n8dBCBVc8jhHph2m+6Vk0QNr3rmWAZBemNjY2s4khGabV5ZNh6jZOzzAtOPLOIhkvg4yPziDjhUGO\nvJ6Z6WDoztp8Ydo9ocIU4ENLKvjv3WH2dqc4EE6xomZ8eZeLFy/mjTfe4OjRo0gpS3rz4WBPmkO5\nFE2qCzU+e95PpcaZOIAntgspNGJ1vwZ5WXkqlRrSCe3s7CSbHRomL4SgpqZmSCFaWVmJosy+n6/p\nqKJv/u9SkTtEyn3RsMdFqArlT746qDj9S5Q//ipiHJ+he/IS3soalUXLSi/hhcJsaQ4u3oCY3zIt\n17Sxmc1oipsVNTfxXuePMRuewt91J4n0EV49rHLHKvDE3iIV2sRVLUF+vDvMB9Ecux0BLsj04zx2\nHBYtnPAoxEQRC5ci972LbP0AceH6ab32TGEXpjY2c4VILxgGVFQhHKUPkB8LgzumxcK06Mg7i6Ji\nBs+XnsH4KGekiGc7UIRGhatp1ONKieGoAw6hZbvJTnDc0utQuX5piJ/t7eXRfb38+abx/Vtqa2vx\n+XwkEgm6u7upqytdB3/70X7apVVY9Xbr6LpE02ZHF75UCDNNoPvnAHQ41rN7bzsdHTvp6OggGh0+\nS+nz+Ypd0Pr6eurq6nA6y+MzZCowHVXoVdfBKBJjEQxZxel3/xqOH84Xp19B1J7dvKzjRI72vIT3\nwsu8CGUaJLyRHuQOa7ZUueWekl/PxmausLTyOvaHt5LhCM7KGI64m12tKW5Z7cWR7ULLtIO7mTvP\nq+YfX+vg6x/keKhFRYvGcKRSZ4yJKwVi4RIk55Yzr12Y2tjMFfJRMeXiyAv5DNPTomIGHHkr8IRm\nR2HqSKVQDBPd6cRwjb5hL3RLK1zNKGJmPl4H5kwn5sxb4JYVlTy+v5fX2mJ0xLI0BMZeqAghWLRo\nEe+//z5Hjx4tWWFqmJKXjsVIY+IOCtJRSU+XTn3jNESTlBlSSvr7++ns7GRe6jlq/f2c6Hfw/Vc+\nwJQDmxpN06irqxtSiBbnv89hhD+I8sd/i3n/lyxDpG/li9P/y96bR9lxnuedv6+q7r71vgBooLEv\nBAmQIAmQFMBdJIWFkAhSsmRZGTvJKHZmHGti60ySyYmXxNGRl4nH0ThjO7IkO7FECCTFFQA3gCRA\nCgCxL40daAC9L3ffquqbP6r7doMAer3dfZv4fufwkOx7q+proPvW99b7vM9Td+uHMoMlvEsmScIL\nIN/a5nRL71HdUoViNLh0L4srn+Fo+4uYtTsIdj5AT/wUF+I1LApexBs7QMLbwCNzI/zsWBfnYnnO\n6j4WWwl8PdFJL0w/a4A0XUafxoMqTBWKzwmyLypGVJSGjBcc86Mq6zMd0/ygjuk0iYopxMSEhm5B\nDuSXTp0RidUXGWPkxhcOXul3sa4xzLvnY/yiqYd/fu/ozB8GF6arV68e11puxeHWJNGsxcywm4ZZ\nbs6cyNLekr8tCtNsNnvdXGhrayuZTIbG8ixrH+jGsmHbkQiRsopCEVpXV0dlZeW0lOROBsIfRPvO\nH2D/xR/AmRNO5/Q7f4SYOfum7x8s4Z03WRLe3i7krrcA0Daq2VKFYrQsrHiSps43yAXO4il/EOKw\n66TJovvAmzhMomo9hubihb6u6d80m3y/Fny9vcRm1E2unPc6A6ROKKH93UShClOF4vNCd2llmAJ0\nJfPM+kzHVB+UYVo/TaS8noLx0TDzpemLwBQZH/Vh9kXG6PkOGKfF/LNLKnj3fIx3zvXyK3dWEfKM\nvCM0a9YsdF2nvb2dZDJJIFD8GJfdFx1Z6rrGMLX1rr7C1PzcPlnOZrPs3buXq1ev0tXVdcProYCH\n5+9xHvy0GavY/PWNeDyTUzB9XhBeP9pv/wfs//of4eRh7D/5N2jf+UNEw/UmXlMh4YXPdksn2FhM\nofgc4tJ9LKp8mmMdP0fU7yXQOZtLHTGSopqA3YEneYJsaEWha/p+Z47kDBeBfB53Ijmsz0Qxuc4A\n6dK526IwnR67QoVCMTyd/Y68U2BrfhNMW5JMpdCQeL1eXC6ni1WQ8mYj02PG1LZxJ53CdHjjo4vA\n1BamUg9gaz40O4NmjS+2o7Hcy8r6ABlTsv1M76iOdblcNDQ0AHDhwoVxreNmZE2bvc1OJ3vdnDBl\nFToutyCVtEnG7aJfb6pJp9O89NJLHDlypJAZWldXx8qVK3nqqaf41re+xb98djYRTwbTXYMxd7Mq\nSseI8HjR/uW/g+WrIBHD/pN/i7x4pvD6lEl4e7sHZktVt1ShGDMLK59Ex4cdPEOk3pHnnuhwoqK8\nsQMAGJpgyx2VgODNHufBk69ndPfBYiAaHTmvvHR20q89FUyDXaFCoRgJpZZh2pM28VjXd0thQMqb\nzIfxToMMU3cyhZCSvNeLbdxaZGLaWeLZawg0It6GSVzhZxACs0/OO945U4DNSysAeO10D3lrdAXf\nvHnzgIkpTPdfTZAxbRZWepkRdiM0QU2d8/fT1pIv+vWmkkQiwc9//nPa29sJh8P82q/9Gt/+9rd5\n4YUXWLduHYsXL6bSk8Df+yESQazmOZiiGefPC8LtQfvNfwMrV0Mqgf1n/xfy3ClgaiS8AHL7Nsjn\n4J4HVLdUoRgHbj3AvMgXAZBVJwF492gSiY47fRbNjALw6NwINQGDn7U79z5fNAr25D74FHOmZ2Fq\nZK6O6ThVmCoUnxe6SkvK25Uy8dnXR8UIO4tmpzFtHdyhSZO/jYeCG+8w3dJophmJJOyZiaFNraNp\nf0yMkR/fnCnAyjo/c8o89KTNgnR2pDQ2NgLQ3NyMaZrjXstgdg2S8fZTU+905dtbinutqSQajbJ1\n61a6u7upqKhgy5YtNDQ0YAx+SCItQu1bEdikIw/ekNepGBvC5UL7X7+LWPUQpFPYf/7vaf3l2amR\n8PZ2D8yWKidehWLcLKt7CmF7sYNnqWxwEU/bdMoGBBJv7FMAXLrg+eVVXMgKLuQ0NMvG2+c5MWnM\nnu/8+9K5G/KlSxU910b5lR+M6VhVmCoUnwOkbUF3X3esRGYQHEdex/io4Mjbl2GazIXxBSZH/jZe\nRm185J0646N+CnOmReiYCiEKXdNXTvaM6sYYDAaprq7GNE2uXLky7rX0k8haHLiWRBPwhTkDhWl1\nvVOs9cfGTHe6u7vZunUrsViMmpoannvuOYI3mXP29+zClWvFMipIVH5xClb6+UUYBuKf/WvEmkfI\nWxpHTjk/Y5Mp4YVB3dK719ww76pQKEaP1whRbj4KgG+20937tNnJ7PbGDxQ8Gh6dG6E26ObVbue4\nSZfzftYAqdSRklDHqwjG1llWhalC8XmgP8M0XIZwl8ZcWWfKxGtd3zG9LsN0GjjyCsvClUojgdww\n5j09aScqptzXOPELG4YBZ97xF6YAa+eEqfAZXIpmOdiSHNWxc+c6m+hiynn3NscxbcmdtX4qfAOd\nQ49Ho6xCx7ahs216d03b29vZunUryWSSGTNm8OUvfxmfz3fD+/RcG4HudwGI1XwFprhb/3lE6Dri\nf/ltTqz9XbKeMsqjZ5ibPTZp15fRHtUtVSgmgAVlT4PlJu+9hCucZM+JKKYWwsh34eqLf3Ppgm/c\nM4MdMWfP4onGEJY1aWsUQkBjf2xM6eeZupMncKfPYWs33q9GQunvDBUKxfB09RUgJTJfCjfvmOqD\nM0yngfGRO5FEALmAH6kP3R0pBeOjfgZmTMcv5QXnxrx+sWMM8crJ7lEdO3jOtFgypJvJePsZkPNO\n3znTa9eusW3bNjKZDHPmzOHZZ5+9uZGRtAm3/RyBRTp8H3n//Mlf7G1CW4vNVX0+mjS58/hfI3/w\nn5AHP56Ua8u3+rqlK9cgZs+blGsqFLcD9XVlGN3rAKhc2o1lS65kHY8Ib/xA4X1PLa5Eul18mhRo\nUuKNjm6sZbyIOc5nu7w4MGeaTFh89E6cHb9o4+LZLPlcCZj+2XlCna8DkKx8ckynKP2doUKhGBbZ\n1QaAqCoNR15wOqafnTHtl/ImsmH8gWkwX9on480NExNj2Xmi2WYAykpgvs82ypDCQLdi0JcjO16e\nXlCG1xAcak1xoWfk56yuriYQCJBIJOjoGH8HtyuV51hbCpcmeKAhdMPrNX1y3vaW/LSZxxnMpUuX\nePnll8nlcixYsIANGzYUHK0/iy+6F1e2GUsPk6h8ZpJXevuQyw1y4V0ZJPTgarBM7L/6z9j7PpjQ\na8toD3L3m4By4lUoio3Xp1GWfQJsNzLYihFKsuesszfxxI+AnQPApWtsuaOK7VHnNe8ky3kLBkiX\nncK0rSXPBzsSdHdadLbnOHogzY5fxPh0b5L21jzSnpp7n793N7rZQ95dRzp8/5jOoQpTheLzQCEq\npoQ6psl8Qco70DHtl/JOj47pSI2PetPN2NIi5K7DpY9NvlJUhIbpqnL+M9NWlFMGPTpPzC8D4OVR\ndE2FEAUTpIsXL457HR9eiiOBe2cGCLhv7GKXVei4PYJ0SpKYZrExZ8+e5dVXX8U0TZYtW8bTTz+N\nfotOvZbvJtjlRIfEa55FlsLP3eeU61x4F3kQL/w64pktYNvIv/5T7D3vTti15fZtkMvBytWI2aoj\nrlAUm5qqcozuLwAQmtfCiQvdpI2ZaDKHNzEg2X9sXoTDeTemdB5aa0U29BuSgjPveU4fT/PL3Uny\neUntDIM1D1dQVWtgW3D1cp5PdiV5+7UYp46mScQnT3Ks5XsI9OwCIFG9EcTYZvBLf2eoUCiGp6v0\nCtPeRAodG5fbXZAhDkh5S3/GVMvncWWy2Jog5x9609+ZPA+Uhoy3n35nXi1bnMIUYNOScjQBH1yM\n0ZkauVS2mHOmQ8l4wSmEq/tiY9qvTR8578mTJ3nzzTexbZuVK1fy+OOPo2m3+B2RknD7NoTMkwne\nRS6wbHIXexvRejXPlYvXu/AKIRBf/iZi09dB2si/+y/YffmixUTGepC7+rularZUoZgIqmoNXB2P\ng3ThrurBCKY4E3X2UoPlvC5d8NSyaj5OCDTA0z2JXdPKGvLhaj6d+y2ajmUBWLzcy31fCDBvYYAH\nHgny+IYwi5d78Qc0MmnJmRNZ3nsjzkfvxLl8PouZn9guarDrzcI9Ke8b+8hBae8MFQrFiChkmJZI\nVIxlSzLJOADh0IDcsiDlzUfwlnhhWpDxBgJwqwKhj66+wrTMN/WOvP1YLudnQWRai3bO2qCbBxpC\nWBJeb+oZ8XENDQ3ouk5bWxvJ5OjMkwZzJZblXHcGv0tj1Yxbd7Fr++dMW6eHAdLhw4fZuXMnUkru\nv/9+1q5d6xhe3AK9e2+fuYSfeNXGSVzp7cV1Et7PuPAKIdA2fg3xlW+BlMif/Ffsd18r6vXl9pdU\nt1ShmGCqagyEHcbofgiAwNxr7D6RRgoX7vR5tPyAQuixeRH2pJ0Hn2bb6PwWxkMibrPn7n9LW80q\nXJrF/WsDLLrDe919wh/QWHSHl8fWh3jg0SANjW50A7o7LQ7vS7PjlSgHP0nS2Vb8MRdX6hzexFGk\ncI17rKS0d4YKhWJkdPZ1xUqkYxrNWris642PkCaaFceWAksPoZV4hqkn4RRQw8l4ATqTjlNeKXVM\nzf6OaZGkvP30R8dsP9NLKj8ymZDL5aKhwTGUGE/X9IO+bumahhAe49a3r+o6AwR0dZgT/pR4PEgp\n2bdvH7t2OfKnL3zhC6xZs2bIolQzY7iuvgRAvHoD0hj+51MxNgoS3kqdeQtv7nauPfMc4qv/FAD5\nP/8/7B0vFeXaMtaDfP8N5xrKiVehmDBcbo2ych2j4wkEBt6aHjpSLUQN52GQry/TFJyuaX1jDRkb\nqq0sIpud8PW1XMnxwc44SVcFofhlHtJ3UTvj5r4D4Dw0q6oxWLnazxc3RVh5v4+Kah3LgisX8+x9\nP8k7r8dpOpYmlSiC1FdahDpfBSBZ/ii2q2xcp1OFqUIxzZG2Dd192VYVpVGYdqXyBeOjgfnSKAJJ\nKh/EF7j1h2pJICXu/vzSYYyPbGnTlXKKrVLIMO2nPzKmmB1TgEVVPpZV+0jmbd4+Fx3xcf1y3rHO\nmUop2d1XmD58CxlvP26PRnmFjrShs700u6ZSSvbs2cPevXsBeOyxx7jnnnuGO4hQxysIK03Wv5hs\ncOUkrPT2pO3aIAnvakfCeyu0JzYhfvU3AZAv/hD79Z+N+/qFbumK+wuOnAqFYmKoqjXQzAgV9loA\ngnNbONoWAfozTQf8CtbNL+fjlKOe6LhYHOf7myFtyckjafZ/lMIyYUYwygP7/gD/5cMjPofhEjTM\n9fDQYyEeWx9i4TIPPr8gnbQ5fTzLO6/H2fNeguYLuTFnf/uin2Dk2rCMclJlXxjTOQajClOFYroT\n7QHLhFAEcbNIiSmgM2UWomJudOSN4CtxGa+ey2Hk81i6junzDvneeLYFy87hd1XhMW50iZ0qTFcV\nEoHIdoAsrgFCf9f01VOOvf5I6C9ML1++jDkG04iz3RmuxfOUeXXurPUP+/5Sjo2RUvL+++9z4MAB\nNE3j6aefZvny5cMe54t9gid5Aql5iVdvhiE6q4qxk8vZHN53cwnvrdAefhrxT34bhEC+/PfYL//9\nmOVyMtY70C3d+CtjOodCoRg5VTWOPFdvewKBjqemm4/OXMIyytDNXrTEQEyLSxfkK52uYDgaw54A\n9/dc1uaTD5KcPZlFCFi20svd93sx7BxcOjemz5ZAUGfJnT4e3xBmzSMBZs5xoenQ1W5y6JcpdrwS\n5dAvU3R1mCM+v7CSBLp3AhCv2gDa+JsOpb07VCgUw9MXFUMJRcV0pYZy5A3jL3FH3sJ8aSg47Oa/\nlPJLr0NzYRtlCGz0fFdRT33frCAzQi7akyZ7LsdHdEwwGKS6uhrTNLly5cqor9nfLV07J4w+Ahl4\nf2xMW4nFxliWxY4dOzh69Ci6rrN+/XoWLVo07HGu1HmCHY5cKt/wwrjlUopbMxIJ783QHnoc8Rvf\nAU1Dvv4z5M//bkw/e6pbqlBMLuVVBpoGia4wjeGHEQK0uvO0SccNV++6PrN40YJa4hY0um2OXSju\n/TXaY/HBzgQdrSZuj2DNwwHmL/Y6HiKBECRiAyq5MSCEoLrWxT1rAnxxU4S77vVRXqljmdB8Icee\ndxO890ac0ycypFNDO9sHu3ag2RmyvoXkAkvHvKbBlPbuUKFQDIvsi4oRJTJfCtCVMvF+JsNU7++Y\n5iLTpjDNBgPDvrc9eQKACt/cCV3TWDDddQB44yOX/owETQg2LXG6pq+c6h7x5nus7ryWLfngklMA\n38qN97NEyp3YmExKkoiVRmyMaZq88cYbNDU14XK52LRpU+HPZCi0fDeR1n9AYJMsW4dVMbZ8OMXw\njEbCezO01Q+j/fPfA11Hbn8J+Y9/Pari9PpuqZotVSgmA8MQlFc5DzOr5dMgNby13ey54ii/9N6D\naGas8H6XS+eqx9kfJK50Fq1reuVSjg/fiZNK2kTKddY+GaKq1ulCCiEKsTFcOjvEWUaOyy2YM9/D\nF54I8egzIRYs9eD1CZIJm6ajGd5+Ncbe9xNcvZTD+ozU18hcxRvbh0QjUb2haAqe0t4dKhSK4SnB\nqJibSnkHRcWUtJRXStwjND6y7DxXYvsBmBVeNeFLGy2p8rVIBP6e9zEyV4t67sfmRQh7dM50ZTjR\nnh7RMYML09Fs1o+1p+hJm9QFXSysHFpa3Y8Q4rqu6VSTy+V49dVXuXDhAh6Phy9/+csFQ6ihEHaW\nspYfo9kpsv5FJCufmoTV3p6MRcJ7M8SqB9H+xf8JhoF89zXk3//A8QIYAXLHS5DLwl33Ifo3oQqF\nYsLpl/MmOiLM9K9GCLiYP0DGtxgh84TbXrxu1rSswTEYfMCbZ8+l2E3POVJsW3LsYJqDH6ewLWiY\n6+ahx4M3PMTvV1DIIhWmgwmGdZbe5eOJDWFWrwswo8GFpkFnm8mnH6fY8YsoR/an6Ok0kbZNsPNV\nBJJ02YMFT4tiUMK7Q4VCMSJKsDDtjqdwSRNNN/D5nAzQ6SLlNdIZdMvCdLmw3O4h39uSOEzeTlHp\nn0fYM3OSVjhy8r65WNWPILAJt/8M7OIVaB5D45lFjpz0pZMjs82vqakhEAiQSCTo7By5FGn3oOzS\noRxrb7heYc50ag2QMpkML7/8Ms3NzV1iOvIAACAASURBVPj9fp577jnq6uqGP1DahNt+hpFrw3RV\nE6v9GojS/d2Z7oxVwnszxIr70X7r34HLjdy9Hfl3f4G0h571lrFe5HuqW6pQTAVVtU5h2tFmsnLW\nFqQUuKs72JeaizSCuNNn8fV+VHi/HQ6SFDoz3XDwdPuYu6bZjM3H7ye4cDqL0ODOVT5W3OdD12+8\n1/U/rJqIwrRwDU1QU+9i1YMBnnw2zJ33+Cir0DHzcOlcjg/fSXBhz8e4M5ewtCDJiseLen11h1Mo\npjmllmEKEI87sstAMFQoJAabH5VyhqknMfL50stRx1F1ftW6CV/XWMnP2IjpqsbItRPofruo5/7S\nonJcmmDf1QRXYsPb5gshaGxsBEYu581ZNnsvj07G2091rRMb091pkp+i2JhUKsW2bdtobW0lFAqx\nZcsWqqqqRnRsoPsdPMkT2JqXaP03kbpvgld7+3KdhPf+0Ut4b4ZYfg/a//7vwe1B7n0X+Td/hhzC\n+EvueHmgW9q4cNzXVygUI6esQkc3IBm30c0qIvYyhAbHut4hN/sbAAS7tg+oj4TA7DNBWqnnCvep\n0dDTZbJ7R5yuDguPV/Dgo0EaF3hu/QC2sV/KOzYDpNHidms0LvSw9skQDz8VYv5iDwF/jjsr3gPg\no/Pr+PhDk2vNOSyrOOsp3d2hQqEYGZ2l1TGVUpJJOsVdWaQ/w9RGN51oEVOP3PRJYKlQmC8dRsab\nt9Jcix8EBPMrx2+RPmFobmK1WxxJb+8HGOlLRTt1mdfgsXmOpf4vTvaM6JjRzpkeuJYkmbeZV+6h\nITK6Lpbbo1Fe2Rcb0zb5ct54PM7WrVvp7OykrKyMLVu2UFY2MtMiT+IogZ53kQhitb+C1ZdLqyg+\nuZzNkf19Et7lXoLhsUl4b4ZYchfav/p98PqQ+z7A/uvvI80bfxZlPIp873VAdUsViqlA0wSV1U7X\ntLPN5J6GryJtyAcu0ibDpCJrEFiE234Kdg6AXEU5AE9EbH52tGNUXdNL57LseTdBJi0pr9JZ98UQ\nFX1zrrekohqC/QZIHWP7RsdIuExn2UofGx74lIA7QU9+Bmd7ltPeYnJgT4qdv4hx9ECK3u6Ru/re\nDFWYKhTTGCfDtLQK01jWwmU6m7z+wlSz4ggs0nk/bl9pRNrcFNvGneybLx3G+OhK/ACWzFPtX0zA\nM7IO2FRhemeTKn8YgSTc/mLhploMNi1xbszvXYjSmxleMtvQ0ICu67S1tZHo604PxWAZ71iYKjlv\nb28vL774Ir29vVRVVbFly5bCvPVwGNlrzjwTkKj6ErnA8K69irFz/GDa2RxW6sxbVPzPJ7FwGdp3\n/hD8Afh0L/YP/hiZv/53sNAtvfNeVLdUoZga+uW8ne15asvnosUbEJrko9M/IlH5JUx3DUa+g1Cn\n8xAp7/OS97ipNKDWzI6oa2pZksP7UhzZn8a2oXGBmwcfCeL1DV+SCSFgdnENkEaDnusk0PshAHLu\nZp7cFOGOu32Ey3TyOcnFszk+2Jlg1/Y455oyY7qGKkwViulMrAfM/gzTkZnCTDRdQ2WYlvh8qTuV\nRrMlea8H2zV0Htfl6B4A5kQemIyljZtkxeOY7jqMfBfBrreKdt5ZEQ/3zQySsyRvnh6+a+pyuQqm\nP2fPDn1jTeUt9l1JIIC1YyxMa/sMkNonMTams7OTrVu3kkgkqKur4ytf+Qp+//DZqwDCjBNp+TFC\n5kmHVpGOPDTBq729mQgJ780QcxehfeePnG7H0f3Yf/lHyKwjf7djvYO6pSq3VKGYKqpqnPt+Z5vT\n9VsQeRopodM6SEfmAtHaryGFgS/2S9yJ4yAE6XJHBfN0xOYfjw7t0JtO2ex9L8Hl8zk0zfnMuXOV\nH20UKjLR2D9nem7s3+gYCXa+5jQZQqswvQ14PBrzFnl4+KkQ674YZO5CN26PIB61OXFIFaYKxe1H\nicl4ATpTeXz2rTNMfSVcmA7ExAwt482YUdoSx9GEzqzwfZOxtPEjDGK1zyPR8Ef34koV76a2eakT\nHfPG6V6y5vDuo/1y3jNnzgz5vo+bE+RtyR01Pqr8YwvuDpfpeLyCTFoSj058bExrays///nPSaVS\nNDQ0sHnzZrzeET40kiaR1n9AN6PkPQ3EazYXzYJ/MjDzsqQyY4djIiW8N0PMmY/2f/xHCEXgxCHs\nv/h9ZCZN9rWfQTbjdEvnqm6pQjFVhMs0J2YsLUkmbO5YsJrMlToQkt0X/pSo0EhUPu28t/3naGa0\nUJg+FpG0xbLsbb5517Srw+SDnXF6uix8fsFDjwdpmDu0weLNKDjzXpzcjqk7eQpPqglb85C4iTt8\npNxg+T1+ntwY5t6H/NTOGEaWfAtKd4eoUCiGRRYceUtn/qwrZeK1ru+Y6uZAhmkpR8W4EyObL22O\n/hKJTV3wLjzGyOSZpYDpmUGy4jEAwu1bEfbYnmh+ljtqfCyo8BLLWrx3ITrs+/sL0/Pnz7N///6C\nWdZn2VWQ8UbGvDYhBDV1/XLeiZ0zbW5u5qWXXiKbzTJv3jw2btyIexhn5wJSEup4xXE61MNE638V\nxNhu7FPBtcs53twWZdvfX+OXHyQ4ezJDV4d5Q/ZdKTHREt6bIWY1ov3uH0OkAk4fw/7zf092+0uA\nmi1VKKYaIUQhNqazzcTj8bCscgvZzggmKd4+88dEgyvI+heh2WnCbT/DcrvI+X34NXgoJPnpka7r\nuqZSSs6fzrL3vQTZjKSqxmDtkyHKKsb4+d4fI3X57OQ9CJQmwc7XAEiWP44cYt+j6YL6WW7uXzv0\nPuqWx4/pKIVCURr0O/JW1k7xQgZwMkydjukNUt5s6Up5hWXhTqaQQG6Y+dJL00zGO5hU+SPkPTPR\nzV6CnW8U5ZxCCJ7t65q+crJnWAOIYDDI/PnzMU2TPXv28MMf/pCtW7dy9OhRMhmnWO5NmxxpTWJo\n8ODs8RX/NTMG5LwTxfnz5/nFL35BPp9n8eLFPPPMMxjGyDcevuhefLH9SGEQrf8mtjE26fJUkM3a\nHP00XfjvtmsmJ49k2PNugjdfivLBzjjHD6ZpuZIjk574rvVImCwJ780Q9bPQfu8/OUYm55ucbuny\nVYi5apZYoZhqCnOmbY4vwf33reaO8DfJx31k6WJH03+mp3ozth7EnT6Pv/cD0n2mdpsqJJeiA11T\n05Qc+iTF8YNppIT5iz2sfjiAxzuOfVBFNQTDkIhPmgGSv/cjjHwXpquGdNmDE3qt6fM4VqFQ3Eh/\nx7SEomK64mncMo/QNAIBp8AbkPJGqCnRwtSdSCKAnN+H1G8t6Uvk2ulKn8XQPMwI3T15CywWQidW\n8zwVV/4SX2wf2cAd5AKLx33ah2aH+PFBg2vxHPuuJlg9a+hi8umnn6ajo4NDhw5x/vx5rl27xrVr\n19i1axeNjY0kgjPBdnNPQ4SQZ3wSy+paAyGgu9Min5O43MUtQpqamtixYwdSSu68804eeeSRUeWt\nulJnCfaZacRqnsP0zirq+iaak4cy5LKSyhqDBx+p5sqlKN2dJt2dJvGoTW+3RW+3xfnTzvv9AY2K\nKp3yKoOKKoNQRBvVn9d4mWwJ780QNTPQfu+Psf/030FPF9qmr0/6GhQKxY0MGCA5c6ZCCB5Z9wSZ\nd+Jcyv4Pkp5LvH36r1k/5znKW39EoGsH0dpGJLAmYBPUNH56pIsVFQEOfJQi1muh67Difj8zZ49e\nuvtZhBAwZz4cP+gYIDXOH/c5h0IzY/i73wUgXr0BxMR+XqrCVKGYxsjO/o5p6RSmvbEYFYDHHyxs\nNvVB5kelKuX1jFDGezn6MQAzQ6swtNIwnBotlqeWZMWTBLveJNS+je7Z/2rcGZm6Jti4pIL//mk7\nr5zsHrYw1XWdhQsXUldXRy6X49y5czQ1NdHc3Mz58+eB86wVBjWBRpqbJTNnzkTTxvaz43JrlFfp\ndHdYdLTlmdEw/s1BP8eOHePdd52b9qpVq3jwwQdHVWTp+S4irf8DgU2y/BGyoZVFW9tk0NmWp/mi\nY+Rx170+QmGDWY1uZjU6f8b5nKSnyylSe7oserpMUkmbVNLmyiWng224oLzSKVIrqnTKKgwM18QV\nqicOZiZdwnszRGUN2u//JUHbJOkZmTmWQqGYWPwBDZ9fkE5JYr0WkXKnVHro/iew92e4ar1Ij36U\nnZcr2FD9IP7oHoLdL5ILbsaTSLOxSrC7Q/L+9jjSBH9Q476HAoTLihhDNWcB8vhBZ8704RvnPYtJ\nsOtNNJkjG1hG3j/xM/CqMFUopjOFGdPSkfIm4gkqGJDxIiVa34xpjjIMozTNXDzx/piYWxemUsqC\njHf2NJTxDiZV9gXcyRO4M5cIdf6CWO1Xx33OJxdE+OnRTo63pzndmWZR1ciKXbfbzdKlS1m6dCnJ\nZJIDR0+y+8AxwlaM7uazvNR8lkAgwKJFi1i8eDHV1dWj7rDV1LmcwrTFLFph+umnn/Lhh451/gMP\nPMB9943OCEvYGSItP0az02T9S0lWPFmUdU0WliU5st+R8C5c5iUYunHj5XILaupdhdge25bEoxbd\nnZZTrHaapFOSjlaTjlZHOieEY1o1uKtarAdabdf6CukpkPDeDOFyo4Uq4RZz1gqFYnIRQlBV66L5\nQo7ONrNQmAKsvXcD73+aoFV7nTZ2sbN9I+tDdRi5Vkz9AlDHV8s1fF3lSBOq6w1WrfHjchf3gbyY\nMx/JxDvzutIX8cYPIYVBvGr9hF6rH1WYKhTTFGnbgwrT0jA/klKSSzkbrPK+DFNhp9BkjpzlxvCN\nrys3UWh5E1cmgxSCXODWnYtotplY9ipuPUhdcPkkrnACEBrxmi1UNP8F3vghMoHl5IJ3jOuUfpfO\nUwvL2Haim5dPdvN7a2eO+hyBQIDWQCP7yoI8Uid4INDDqVOniMViHDx4kIMHD1JeXs6SJUtYtGgR\nkcjIjJFq6l2cOpqhvTVfkGeNFSklH3/8Mfv27QPg4YcfZsWKFaM8iU249acYuXZMdw2xuhdAlKaa\n4FacOZEhmbAJhjUWLBlZ51HTBJFyg0i5wdyFzjHplF0oUrs7LWK9FtEe558LZ5y8T69P9HVUDcqr\ndMJlOtooi8p8CUh4FQpF6VNVYziFabvJ/CXXv/bIPV/j7YMxutwfcMl6jffjz/K4txPD/ABbbqFe\nzxI0bD7Mp3liTqjoRSkAc/o6lxNpgCRtgp2vApAqW4vtqpiY63wGVZgqFNOVWC+YeQiGEN7SKPiS\nORvDdDooFWVOwXCdjDdQmhvBfjfeXCAAQ8hFL0X3AtAQXo02jRxTb4XlriJR+TShzlcJd7xEl28O\nUh+bk14/6xeX88rJbvY2x2lL5KgNjq47KaUccONdMpNVMxezevVqWltbaWpq4syZM/T09LB37172\n7t1LfX09ixcvZuHChfiGePARLtPw+pwYgFivTaR8bD+LUkp2797N4cOHEULwxBNPsHTp0lGfJ9C9\nE0/qFLbmI1r3TeQ0k4XHoxZnTzk5nHfdO7ocvs/i82vMnO0uzF+ZeUlvtznQVe0yyaQl15rzXGt2\n5L+6AeUVTpFaUWVQXqkPuwE8XiISXoVCUdr0z5l2dZjY1o2F3+Mr/xlvHYkSM45wPPcaEetR7vOf\nxNavYdgzmT83yV+cStF1LM8Ds8NoxZ6hr6jqM0CKYXe0gW9ow8ax4I3tx5W9hmVESJY/UvTz34rp\nv7NSKG5XSlDG25nK47Wvj4rpl/EmshH803i+VEqby32F6XR0470V6cgaPMnjuNPnCbW/Qqzu6+PK\nzqzyu1jbGOb9CzFePdXDP713dD+fF3qyXInlCHt0VtQ7N1shBPX19dTX17N27Vqam5tpamri3Llz\ntLS00NLSwu7du5k9ezZLlixh7ty5uFzX554KIaiuc+RZ7S35MRWmtm3zzjvvcPLkSTRN45lnnmH+\n/NEbT3jihwj0vI9EI1r3dSx31ajPMZVIKTm8P4W0YfY8N5XVxd1KGC5HSldV6ypcLx61C0Vqd6dF\nKmHT2W7S2W4CToEcimh9HVVnVtUfGDBVuno5XZiFLQUJr0KhKF28Po1gWCMRs+nptoiUXf+6EIKn\n7voOrx/7D6TcF/kw+QGh9BKWRs5DZiarglkqfQaXerN83BznwdnFdVkfbIBkXWiCZfcU9/xWmmDX\nDgASlV8CrXi+DMOhClOFYpoykGFaOsZHXSkTX19UTDjsfBAPOPKG8UVKtDCN9xemt37q2Jk6Qyrf\nhd9VSdUkGABMGkIjVrOFisv/BW/yGNnE4XEb8GxeWsH7F2LsPNfL1+6sIjgKV93dfd3Sh2aHMG5S\nPOi6TmNjI42NjeRyOc6fP09TUxOXL1/m4sWLXLx4EZfLxfz581m8eDENDQ0F06Saekee1d6aZ+Gy\n0XUoTdNk+/btnDt3DsMw2LBhA7Nnzx7VOQCMzFXC7T8HIFG1nrx/wajPMdVcPp+jp9PC4xUsXTHx\nnV4hBOEyR77buMDpdGYzdp/zr0VPp0lvj0U8ahOP5rh0zpH/erzCKVIrdS6ccTqtS+5UEl6FQjE8\nVTUGiZgzZ9o478bXBRrzxe9wJPX7GIFu3uw9y2zqCZHHk4ZfX1bH9w908Y9Hu1jTECp611TMWYg8\nfhDr/OmiF6aB7rfR7CQ571yywTuLeu7hUIWpQjFd6c8wLaWomLSJ17q+Yzog5Y2UZIapns1h5PLY\nukZ+CClov4x3duQBxDSbBRwO21VOomo94Y5thDp+Qd43b1w5mnPLvayo83O4NcX2s708d0flyNYh\nJbsvOYXpw43DX9/tdrNkyRKWLFlCKpXizJkznDp1ira2Nk6dOsWpU6fw+/0F06SqmmqEgJ5Oi3zO\nHvHsTz6f5/XXX+fy5cu43W42bdrEjBkzRnTsYDQzTqTlxwhpkg7fR3oadt4zaZsTh52HT3fc7cM9\nEfNTI8Dj1aif5aa+L1nHsiS93VbfnKrjAJzNSFqv5Gm94hSlSsKrUChGSlWtwcWzOTrbb8y/zuds\nPv04RXuLhs/922Tnfw+jLMGPOjr5rfJmhDmPp/09/Pe+ruknzQkeGGce92fpN0Cy+nO4ioSebcUX\n/RiJIF69cVwKqrGgClOFYrrSWXod045EBo/MAoJgn7ttQcqbC1NRglLegow3GLzlB7AtTZpjnwCf\nLxnvYDLhe/Ekj+FJnSbUvo1o/bfGdUPavLSCw60pXmvqYdOSClwjmEE82Z6mK2VSE3CxpHp0c9N+\nv58VK1awYsUKent7aWpqoqmpid7eXg4dOsShQ4coKyvD756LZjXS0eYfkTtvNpvl1Vdf5dq1a3i9\nXjZv3kxNzRh+56RJpOUn6FaMnHcO8epNk37DLwbHD6Yx8073eUaDa/gDJgldF1RWGwVZsZSSZMKm\nu8MpUvM5jaUrXErCq1AoRkRVjQECeroszLxd+Hqs12LfR0lSCRuXW7DqgQb0yHd5+9wfYlb0sDt+\nhke88wj2dvG1ZY381wNR/vFoJ6sbgsXtmjY6ahvz7Am0dArhK0LklJSEOl9FYJOKrMHy1I//nKOk\n9HaJCoViRMiuNqC0Mky7ep1ul+HzF+STen5AyluKHVN3fFBhegtaE8fIWQnCnplEPA2TtbTJRQji\nNc9ha148qSa88QPjOt3d9QHmRDx0p00+6OuCDkfB9KgxPC7X3LKyMlavXs03v/lNvvrVr7Jy5Up8\nPh+9vb1caz/Ila6X2L5zG4cPHyaVSt3yPOl0mm3btnHt2jUCgQBbtmwZY1EqCbW/jCvbjGVEiNZ9\nA6aheVZbi2M+pOtw5yrfuP6OJhohBMGQzux5Hlbc5+fRp6sJBJWEV6FQjAyXWyNSpiNtaG9z5tiv\nXc7x4dtxUgmbcJnOuieDVNe5qPDN48HZvwUSDgePkpNpNDvIc4FfUukzuNjXNS0moqIaFi6DdAr5\n7mtFOacneQx3+jy25puy+LLS2yUqFIqRUYIzprGYExXjDwxIVvo7pllZhuEqsY2slIWOaW6I+dIB\n06MHS3ozPl5sI+x08oBgx2tofQ8VxoIQgk1LywF45WT3sJb2eUvy0eWBwrQYCCGora1l3bp1/MZv\n/AbPPvss8+ctRgiDeKKdXbt28bd/+7e88sornDp1inx+QLIVi8XYunUrHR0dRCIRnn/+eSoqxmaX\n74t+hC9+AClcROt/DWkUV9I1GZim5Ghf1Mri5V78JeqwrVAoFMWius+dt/VKhhOH0hzYm8KyYOYc\nFw89HsQ/6GHXrPC9rKz7OrawOaGdBCAQy/CvlztNhH882old5GgXbeOvACB3voLM3Poh64iwcwQ7\n3wAgUfkUUi9CB3YMqMJUoZiGSCmhq8P5nxIqTFMJpzANh/s23nYO3U5h2Tq4S28zbmQy6KaF5TIw\nPTefPTPtDFf7uoezI2smc3lTQja4kkzgDjSZdUx6pD38Qbfg4cYw5V6di71ZDrcOfdM82JIgkbOZ\nU+ZhTlnx5wA1TWPOnDl8af0XWdTwAtXhtcyaOQchBJcuXWLHjh38zd/8Ddu3b+f06dP85Cc/oaen\nh4qKCrZs2VIw8xot7uTpws0+Vvs8pmf0s6mlwOljGdIpSbhMZ66a01QoFLcB/bExp44lONeURQhY\nfrePu1f7MYwbH1Ivqnya+eWPcUo7AYA05/AQb7E0nJ6QrilL7kJfvBySceR7b4zrVIGe3ehmL3l3\nPZnwfUVa4OhRhalCMR2J90I+B4FQceYKioSZTgJQ2Z9hag6W8ZZeh8UTd9Y71HzptfhBTDtLpW8B\nQXfpPASYMIQgXr0ZWwvgTp/D1zdbOxZcusb6xU7X9OWT3UO+d/fF4nZLb4UQgrqZfoK+uSxf+hS/\n/uu/ziOPPEJdXR35fJ6mpibeeustent7qa2t5bnnniMQGFtGnJ7rINz2PxFIkuWPTbq7YbGI9pic\nP50FASvu86GpOU2FQnEbUF5lFKLN3R7BA48EmbvIc0vllBCCe+p/DRmqJEovugwg7TL+sHEnOjY/\nPVbcrqkQAu9z3wJA7ngJmUmP6Txavgd/7y4AEtWbYAoNHlVhqlBMR0rQ+CiVt9DzTlesqryvMM0P\nGB/5SnC+dCT5pZcGyXhvF6QRJF6zGYBg55vouc4xn+vpheV4dMHBliQXezI3fU86b/PJFefvYu2c\nie+s19Q7T8HbW/L4/X7uuusuXnjhBb71rW+xZs0aKisrWbhwIZs3b8Y3hFPzUAgrQ6TlJ2h2hmxg\nGcmKx4v5LUwa0pYc3pdGSpi7wE1ZxfSbjVUoFIqxYBiChcu8zJrjY90XQ1TWDP/5pwmdBxv+Ny66\nrgJwNVtPnbebf133ARd6soV7XdHWeOcqmLcYEnHk+2PrmgY7X0dIk0xwBXlfY1HXN1pKb6eoUCiG\npZBhWkpRMSkT72cyTAc78pac8ZGUuBODOqY3IWvGaYkfQaDRELl/Mlc35WSDy8kEVyBkntA4JL0h\nj84TC5x08ldO3bxr+smVODlLsrTaR21w4oO8q2pdTmxMl0UuO/B9RSIR7r//fr7xjW/wwgsv4LmF\nvHtYpE247X9i5Dsw3bXEal+Y0ifQ4+HC2RzRHguvT7DkzrEV6QqFQjFdWXSHl3VPVuEbRaqAS/dR\n1vAwALPkAt7LR9nYcIEnXQf5aZFnTYUQaBu/BoDc8TIye/MHwLdca+os3uRxbOEmUfVM0dY1Vqbn\nnVKhuN3p65iKilIrTD+bYdov5Y3g85eW/M+VSqHZNnmPB9t989iLK7F9SCxqg3fgNSKTvMKpJ169\nCUsP4c5cxNf70ZjPs2lxOZpw5LpdqRsz4SZLxtuPyyWoqDZAQkebWfTzB7q240mdxtb89Nb/GlKb\nnjOZ6ZTNqaPOw6Y7V/lLz7xMoVAoShRXuJ6MW+DDR8aq5aAd53eWHMfberToXVPuuAfmLoJ4FPn+\nmyM/TlqEOl8FIFX+KHYJ7HNUYapQTEe6S69j2pHI4rGzSChkmOr9HdNs6XVMPfHh3Xj7ZbyzbyMZ\n72Ck7ide8xUAgt070HPtYzpPXcjNmoYQpg2vN13v9BvNmBxsSaIJeKjIAeRDMVjOW0y8sU8J9O5G\nohGt+wa2a2xOvlONlJKjB1JYJtTNclE3s3QySxUKhWI6kOsbt1piL2WvFaPTE+e3Fxxk+64PJ65r\nun0bMpsd0XG+6McYuXZMVwWpsoeKtp7xUFo7RYVCMSJkf8e0hGZMO3piaEg0tw/DcDb9mjnQMS29\nwnRoGW8q30VHqglduJgVWjWZSyspcoElpEP3IqRJuO1FkNaYzrN5qVOgvXW2l/SgsPI9l+PY0sk9\njXgnb36xtt4ptNpbzGGjbEaKkWkm1PESAInqjeT984py3qmg9WqetmsmhstxoVQoFArF6EiXOWMs\nC1mCIV3sNLupqYvymPcw23Z+ULR7DwDLV8GcBU7XdPdbw75dmAkC3W8DkKjaAFppPHwsrZ2iQqEY\nGSU4Y9oTdeSYHv9Aoaf1mR9l7DAud+l83AjLxp1KIbl1YXo5+jEgmRG6G5d+e2/ME9XrsYwyXNkr\n+Ht2j+kci6t8LK32kczZvH2ut/D1XZMs4+0nGNbw+gW5rCTaM7ZiezCaGSPS8hOENEmFV5OextFC\n+Zzk2KeOhHfpnb5RzVYpFAqFwsHyuMkF/OhS40H/s1jA6/ku1i3rJn1pPx9//HHRilOna9qXa7p9\nGzI3dNc02L3DMefzLyLnX1KUNRQDdbdRKKYZToapE9hMCc2YxuJOgREI9skxpYluxbGlQLqmfm5h\nMO5kEiEleZ8Padw8xmZAxvvAZC6tJJGal1jNcwAEut/ByLaM6TzP9nVNX23qwbIlrbEsJzvSuHXB\n6lmTm3MrhLiuazou7DyRlp+gW3Fy3rkkqjcUYYVTx6mjaTJpSXmlzpwFE29GpVAoFJ9XUn1d02Xc\nRV1gOWlsdtDB5pVdHNj/y6IWp9x1L8yeD9Ee5O7tt3ybkbmCN7Yfie50S28RfzMVqMJUoZhuxKOQ\ny4E/iPCPLV9xIsgmHWlsWaTfh0Md5AAAIABJREFUkTeGQJLKB/EGSkMi0s9wMTHRzFV6M5dwaX7q\ngysmc2klS96/gFRkDQKLUNvPQI6+mLt/ZpD6kIu2RJ6Pm+O8e85x6V09K4jPNfm3o5pCYTqOOVMp\nCXdsw5W9gmWUEa3/OojpG6nS3Wly8WwOIeCue/23zOtTKBQKxfBkyiJIwBtL8FD9bxJxz6BHmhwJ\ntPHwgjj79u1j7969RSlOna7pVwGQb21D5nM3vknahDp+4ezPyh7CcleP+7rFRBWmCsV0o1/GW1la\nHyZWxin2qgsZpv3zpaVnfOQexvjocl+3dFb4PvQSmbsoBRKVz2C6KnDlWgl0vzvq43VNsGmJ0zV9\n6WQ3757pAiZfxttPVY2B0G6MjRkN/t4P8MYPYQu348Cr3zoTt9SxbcmR/U4W8fwlHsJlN1cTKBQK\nhWJk2C6DbCiIAMLxHGvn/C5eLcAVmcVubGZORZb9+/ezZ8+e4nROV6yGhrkQ7Ubu3nHDy974IVzZ\nZiw9RKri0fFfr8iU1m5RoVAMT6EwrZ3adQwia9roeWcmrbqirzAtOPJGSmpGTZgmrnQGKQTZwI2F\nqZSyIOOdo2S816O5idc8j0Tg79mFkWke9Skenxch5NE505XhfHeaoFvj7vqpKeYMl6Cy2uludrSO\nvgPsTp4i0OWYTMRrn8fy1Bd1fZPNuaYs8aiNP6CxaJl3qpejUCgUnwvS5Y6c19cTJeCu4guNv4eG\nzik7xeK7r+J3w4EDB/joo4/GXZwKIdA29Dn0vrX1uq6psDOFe1ay8mmkVnqf86WzW1QoFCNC9hWm\nooSMj5wMU6cwjYT7pbwDHVNfCXVMPYkkAsgF/KDduK7u9DmS+Xa8RhnVgaWTv8ASJ+9rJF32BQS2\n49Jrj04G6zE0nllYVvj/h2aHcelTJxetqRtbbIyeayfc9o8IJImKJ8gGl0/E8iaNZMLi9HEnh/iu\ne33ohpLwKhQKRTHIRMJIIfAkk2i5HJW+edw749sg4TBdPLw2iqYJPv30Uz788MPxd05XroZZjdDb\njfzw7cKX/d3voVtx8p4GMqGV47vGBFE6u0WFQjEyOvs7pqVTmHYkc3htZ1MbCjkmNnqfI2+pRcX0\n55feyo13wPRoDZoonXWXEomKJzFdNRj5DoLdO0d9/PpF5bg0p/CZKhlvPzUz+uZMW0ceGyOsNJGW\nH6PZWTKB5aTKS08ONRqklBzZn8a2YOYcF9V1Sr6uUCgUxULqOpk+/w1fbxSAueVrCGpPAnCY02z8\nYhmapnHw4EE++GB8UTJC0wa6pm9uRebz6LkO/L0fIRHEqzdCie5vSnNVCoXilpRix7St28kwlYYH\nl8vZ1BakvCXXMb218ZEtLZpjnwBKxjskmotY7RYkGr7eD3GlL4zq8DKfwW8/UM+v3zeTO2qmNoon\nGNLw9cfGdI8gNkZaRFr/B0a+i7y7nljt8yV7gx8pVy/l6WwzcbkFd6y8vaORFAqFYiJIlzljTv6e\ngbi0xxd+Ayu1AAs4lH+bLz21HE3TOHToELt37x5f5/TuNTBzDvR0Ij/aSbDzNQQWmfAqTG/DOL+b\niWN6300VituRzr6omBKaMe3sdaJidO/AzKbWZ36UNsO43aUhC9RyOYxsDlvTyPtv3IC3J0+QMaME\n3XWUe+dOwQqnD6a3gVT5wwgk4batCHvozLTPsrYxzK+umjHlrq9CiII7b9sIYmOCnW/iTp/F1gNE\n678J2vSOU8llbY4fcmT4y1Z48XjVtkChUCiKTSYcwtY0XOkMRsZRmHldOsHgv8BvlpHB5qz5Dzz9\nzCNomsbhw4fZtWvXmItTp2vqOPS6j7+KJ3UaW/OSqHiqaN/TRKDuQArFNMLJMC09V96eqCNN8Qb6\nupDSRjOdr1musikvPvrxxJ1Im1wwcNPcrsGmR6Wy5lImWfEYeXc9utldMFSYjow0NsYb248/+hES\njWjdN7Bd5ZOxvAnlxOEMuaykssagYe70LrIVCoWiZNG0QtfU1xMtfPmphVXsvPRPCOOmx85wzf4R\nX1r/DJqmceTIEd5///2xd07veRBmNhC+3w9AsuIJpFHazvGqMFUophOJOOSy4Asg/KXz4ZLqk8f2\nz5dqVgINi3Teh8dfOq5vQ8l4TTvHldg+AGYrGe/IEAbx2ueR6PijH+NKnZ3qFY2JqloDTYPebots\n5uaxMUb6EqH2lwGIVz9L3jf9O+qd7XmaL+TQNLhrlU89jFEoFIoJZMCdtxf6ik2PofHkornsu/gV\nfGi05Frp1l5h/fr16LrO0aNHx1ycCk0j+JV7Mcrd5HtMUoFVRf1+JgJVmCoU04mufhlv6cyXAuRS\nTsFXEXGeBmqFDNMSioqRckjjo5bEYUw7Q7l3LuFpHvsxmZieepIVjwMQbt+KsDJTvKLRYxiCiiFi\nYzQzSqT17xFYpCIPkIncP9lLLDqW5RgeASxc5iUYVpmlCoVCMZHkggEsw8DI5XCl0oWvf3FBGecz\ni7B7HkAHziUOkg0cZMOGDYXi9L333ht1caqZUYIBxwMitv0K8uPdxfx2JoQS2TEqFIoR0S/jLSHj\nIwA760hkaz6bYZoLl4wjr5HNopsmlmFgej03vH65dw+gTI/GQqp8HXnPLHQzSrDz9alezpioqe+L\njWn9jJzXzhFp+Qm6lSDnm0+iav0UrK74nD2ZIRm3CYY05i+58fdBoVAoFEVGCNLl/XLeARMkj6Hx\n3B2V/PjSOpbb8wA43PESWlkrGzduRNd1jh07xrvvvjuq4jTY+SZC5slka8ldSiLfeBFpjj6zezIp\njR2jQqEYEbIvKkaUUMc0b9kYpvPkr67Skan0F6bJEnLkLXRLQzfOl+asJNcShwFBQ2T1FKxumiN0\nYrXPI4WBL74fd/LkVK9o1NQW5kxNpN1345eScPvPcWWvYhkVROt+BcT07yzGYxZnTjpmVXfd50ef\nwhxZhUKhuJ0oyHl7owU5Lzhd07DXxf/dtIHVegUAn1z5fwlU5di0aROGYXD8+HHeeeedERWnrvQF\nvInDSGEQX/CrUDcTOtuQn7w/Id9XsRjRjjGVSvFnf/Zn/M7v/A7f+c53OHPmDC+++CLf/va3+e53\nv8t3v/tdDh06NNFrVSgU/VLeEuqYdqXyeC2nMC3ry+kaLOX1l4iU191nfHQzGe+V2AFsmacmsAS/\nq2Kyl/a5wHLXkKj4IgCh9pcQVnKKVzQ6AiENf0Ajn5P09jixMf6eXXgTR7CFm976byL1wDBnKX2c\nzNIU0obZ89xU9kmYFQqFQjHx5H0+TLcb3TRxJwbuk/1d05ZsiF92rmeZFsDC4sPLf0pFrZeNGzdi\nGAYnTpzg7bffxrZv7ocAgLQJdrwKQKpsHdJThVj/gvPS6z9DWiOIRpsiRrRj/OEPf8jdd9/Nn//5\nn/P973+fmTNnArBhwwa+973v8b3vfY+VK1dO6EIVCsWgjmlF6RSmLT0JdGxszYXH40gCC1LebIl0\nTKUsGB/lbmJ8dDnqyHhnRx6c1GV93kiXPUTO24huxQn13RSnC05sTJ+ctyWPFj1CoHsHEkGs7qtY\nnropXmFxuHw+R3eHhccrWLqidIzJFAqF4rZAiELXdHCmKThd03Kvzj9cms1C90M0CA8ZK8Huy39C\n7YyKQuf05MmTQxan3tg+XLkWLKOMZPnDzmXvWwc1M6CjtaS7psPuGFOpFKdOneLRRx8FQNd1/H7H\ndnhcwa8KhWL0dHc4/y6hjmlbV5/tucdf+Fp/xzRpRvB4p14m6Eql0Wwb0+3Gcl8fiZHO99KePIEm\ndBrC903RCj8nCI147RakcOFNHMaTODrVKxoV/bEx6c4W3Bd/hECSrHiSXGDZFK+sOGTSNicPO+ZU\nd9ztw+0ugYdGCoVCcZvRP2fq7Y3CoOLSY2h85Y5KAP7w7P086VtAhTCIZa+xp/n/YcbMOjZt2oTL\n5eLUqVPs3LnzhuJUWCmCXdsBSFR9qZC1LXQdsf55oLS7psPeldrb2wmFQvzgBz/gu9/9Lv/tv/03\nsllnNuWtt97id3/3d/mrv/orUqnUhC9WobidkVJCZ3+Gae3ULmYQnb3OEz+Xrz/DVBY6ppZRGhmm\nQ8XENMc+QSKpD67A/TmQak41lquSRNUzAITaX0GYiSle0Qix88wInuOhOdtZV/f3CDtLJngXqfJH\npnplReP4oTT5vKS6zmBGg2uql6NQKBS3JabXS87nRbNtvLH4da891dc1PdYpOahvZoOrBh8abcnj\nHLj2I2bOnFkoTpuamnjjjTeuOz7QvRPNTpPzzSMbWH7da2L1I1BdB+0tyF+WpkPvsIWpbdtcuHCB\np556iu9973t4PB5efvllnnrqKf7yL/+S73//+5SVlfGjH/1oMtarUNy+JOOQTYPPD/7SKaBifR+q\n/oBT9Ak7jSZz5Cw3utc/1KGTxoDx0Y2F6SUl4y066fBqcr4FaHaScMdL1xk8lBLCjOON7SfS8pP/\nn737DK/rvA58/3/3Pr2jEyAJFrCKVSwiqWb1ZlUXxRPbc+3rXMd27Nyxk3ufmSfJHc9kHE+e+yR2\n4tix78Qlduy4yDFlWXIk2RItiRQ7JYJgJ0ACRCE6cHrZe98P+6BQBIVCAOeAXL8vFIFz9l6HAkGs\ns9a7FhVNf0lZ5z+zqvwtPI4kCW0xg5Xvv2JQ1lzV2Z6lrTmLpsvOUiGEKLTLdpqOMrpq+s0GN3rZ\nAzzqLENH0di/i5M9zzN//nyeeOIJHA4Hb7/9Nu3t7QDo6Xa8A/uw0IiWP3bFv1921XTUWVOz+Kqm\n4049KC0tpaysjLq6OgC2b9/Ozp07CYVCw4+59957+eu//usxn9/Q0EBDQ8Pw759++mmCweC1xj0j\nXC6XxDZJxRoXXH+x5braiAFaxbzL/v5Nt8nGlk7G0YGysjKCwSAqMTKRNxzxTOv/gyn9PzUMXHG7\no8M1rwqnc6RSNJBqpzfZiFPzsLL6Dhz61NZmXG9fa9PB9PxHrBN/hTt+nEjuJEbplbs/Zz02y0Kl\nOtAHjqINHkOLn0cxkjSb3oV0plew99gCQvPr2LGhOAdhTfbPLZc1OXa4A4D1m8NUVRfP94/ZUqxx\ngcQ2VRLb5BVrXHDjxaZcLqy2DjyDUYJeLzhGUrIP3OznFyf6ONebZr91J+8JNvHAYD2/zvVy9NJP\nqAgtYuXKW9m2bRu7d+9m3759fOTDH8bd8QIKi1zFnfjKl495X+u+x4i+8DPMS6146g/iuv2+aX1d\n7/TTn/50+L/XrFnDmjVr3vXx4yamkUiEsrIy2traqKmpob6+ngULFtDf308kYmf7+/btY+HChWM+\nf6wgotHomI8ttGAwKLFNUrHGBddfbFbzeQDMkvIZfV2TjS0Tj+IFQgEv0WgUV6wVD/YOU4fXmNZY\np/Ln5orGCFoWWa+HwVQKUqnhz53o/A0ANcHNJBMZIDNrcc2WwsXmxFP+XkKdP8fR8lMGVQ2mIzz7\nsVkGzuR53PHjuOMn0XO9I59CJ+2rI+NfTdq3CtMZIRE16ElG6TkbJ5fLsmq9B4+3uM5iTvbP7fjb\nSeIxg1BEY/6imf03uFj/LhRrXCCxTZXENnnFGhfcmLE5/X7c8Ti51jaSpSWXfe6p1SV8+1An39nf\nyrp738/SZCu3Wjn2GIPsOvsVVM7L2rVrOXToEM3NzbQfe4464yym5qMv8B6sd4nXeuj98P1/IPHM\nP5NatwWlzcwatGAwyNNPPz2p50xoTvzHP/5xvva1r5HL5aiqquIzn/kM3/nOdzh//jxKKSoqKvjk\nJz85paCFEBNj5VfFFNMOUwAydjWyusz+pjoykTeMr6zwP9APt/G+Y02MZVnDbbyLpI13RqSCm3HH\nGnAnThLs/DcGqj82K62xykjiSpzCHT+BK3EazRx5M8LU/KT9q8j4V5HxLcfSLq+SB4I6K9d5ONOQ\nouV8hraWDMtWe1i60o3DMffaXwf6cjSesudCbNjiQ9Pm3msQQojrUbIkgjsex9vXf0Vi+uCyCD9v\n6OFcb4r9neXcXvEUmzp+RD8mx40Yrzd/hfuXfpEdO3bwxmu/pTK5C1wQK3sQS/e+633Vjnuwnv8p\ndFzEOrgbdcudM/gqJ2dCienixYv58pe/fNnHPvvZz85IQEKIq+jJT+QtosQ0a5g4c/YO0/nldgeF\nPrzDNESgCFbFXG3wUX/qAtFMO249SFXg+pi6WnSUIlr5FM7mr+JOnMYzeJBUeGYmH+vZHlzxE7jj\nJ3Amz6MYmVSYc1WS9q0m7V9NzrMQ1Lt/Xa64ycOKVREOvNlDx8Usp46luHAuzar1XhYscs6Z85mW\nafH2gSSWBUuWu4iUyc5SIYQoFslIiHBrG+5oDC2bxRx11Mjt0HjfTWV853An/1rfzZaH1uEKbeGu\nwYMMoNFqDPJa89/wyM1fwn3p1wRdWWKUkQptGfe+yuFAPfIBrB98A+tXP8HacjtKK/zPazDBxFQI\nUXhWT36HaRGtiukcSOCwchhKx++z36HThiqmmRCVBU5MVc7AmUhiKUXGf/nAqAsDbwKwMLwNTcm3\nwpliOkJEKx4nfOknBLp/Rca3DNNZMv4Tx2OZOFItuOMncCdO4Mh0jnwKLT+RcDUZ3yoMV/mkLx8M\nO9l6m5/uzhzH30oy0Gfw1r4ETad11tzspayi+L9mms5mGOgz8HgVq9a9+zvoQgghZpflcJAOBvAM\nRvH0D5CouPzfqoeWR/i343bV9GBrnFtqHqMkdZ73Zix+CvSnW3nu+Ocpq0nyu6zOuUtONlYcIeiu\nwu+qxKG5xr4xoG69F+v5n0F7C9ahPaitt8/wq52Y4v+XVQhh67ZbeYtpVUxrd34tjNM3XEXSsvnE\nNBvGU+Adpu5YDAWkfV4sfSRJtiyT5nxiuii8o0DR3TjSgQ2kYg144scIdT5Df80nxq1ajkWZaZyJ\ns/lk9CSaER/+nKl5yPhW5JPRleO2Mk1UeaWDO+4PcPF8lpP1doK655UY1QucrN7gwR+YmbM51yqZ\nMDlZb3czrNvsw+GcG1VeIYS4kSRKIngGo/j6rkxMR1dNf1zfzZb5ixis+j1KLn6Tx3UfPwfi2T7i\nQLMFVDSx++JXh5/vdZTgd1UQcFUScFbl/7uKgKsStx5EPfwBrB/+I9avfoy1+daiqJpKYirEHGBZ\nFuQrphRRxbSr105CtVFrYYZaeQ09girweTZXzE5c3tnG25U4RTLXh99ZTpl37Ml1YhopRbTyCVzN\nTbiSjXgH9pKMTOxcr5YbwBU/iTt+HFeyEWXlhj9nOEpI+1eT9t9E1rsY1MwkiUopFi5xUb3QybmT\nKc6eTNN+McultixLVrhZvtqD01VciV/94QRGDubNdzJvvuwsFUKIYpQOhTA1DVcigZ7OYLgvr3IO\nVU3P9qY41BZny/yFxMvuJ9zzIh91ljOgeehHUZ9bwemWk7iDBuFyJ/FsN8lcH8lcH92J01fc16F5\nCCyowP9UBH9XJ4Gj3ya4bDsBVyU+Z1nBOskkMRViLkjEIJUEtxd8V+7iLJTegUEA3N58TGYG3Upg\nmDrKPXMrKSZqaPBR5h2Dj4baeGvDO+bMecG5ztIDDFY8RaTjXwj0/DsZ3wpgjPH7loUj3YYrkT8v\nmm4b+RSKrKd2+Lyo4aqc1T2jDodi5VovtUvdnKxPcvF8lnMn07Q0ZVi5xkNtnasohgu1X8xwqTWH\nwwFrN0kLrxBCFCtL10iFg/j6BvD29xOrurz4cNlZ06PdbK7xk4jciStxBleykXLNhafsIQLhO2g8\n9EO6T/Wx9q67WLtuDYlsD/FMF7HMJWKZTmLZTmKZTuKZTrJmkv50C/2LgEVu4DW48BoACg2fs5xA\nvsI6XGl1VhJwVeKcpo6ksUhiKsRc0D1SLS2mRCoWtRNTf8BOMIYm8sYzQbz+wrY4apksznQaU9PI\n+EcquoaZ4+LgfsBOTMXsyQTWkApuxBN9i1Dnz8iV/qn9CTOLK9loDy9KnETPDQw/x1JOMr7ldmXU\ntwrLUfg3Zrw+jZu3+VmyPEfDW0l6uwzqDydpOpvmpo1eqqoLV6HMZi2OHbZbeFet9+L1Fb41Swgh\nxNUlIxE7Me3rJ1ZZccUbrldWTQMMVj1NScvXUc4QichtaEpjx44dvPDCC+zfv5/Vq1fbLbyuSqq4\nfG2nZVlkjJidrCbbib7wv4i7U8RXLybmSpHM9RLPdhLPdnIp3nBFvG49iD9/7aFkdej3XkcENYWj\nOkMkMRViLhhq4y2iibwAqXgMHYiE7eroyETeML4CDz4amsabCfgv+ybfET9KxogTdi8k4hl7/7KY\nOdHyx3EmGnGmmlHNPySUjuFKnEGzRnbIGnqIjH+VfV7UWwdacbaiRkod3Hp3gI7WLMffShEbNNn/\nWpyKeQ5u2uAlFJn9N2dOHk2SSlpESnUW11198IUQQojikA4FMXQdZyqNI5Ui5728IjlW1dR0hOlZ\n9KcEg2GI229G1tXVUVlZSWdnJ0ePHmXz5s1j3k8phdsRxO0IUuarw5zfj/Wv/x+cTKH9xVcxrSzx\nbLeduGYuEct0Ec9cIpbtIp7pJG1ESSej9CbPXXFtXTntCquzkt+r+ZtJ/1lIYirEHDA8kbfIElMj\nFUcHKkvsVTGjJ/J6SwqcmA7vL718Gm9zvww9KiRL9xKtfB+R9u/h6N03/I9Q1l1DZmili7tmVlt0\nr4VSiuoFLiqrnZw/k+b08RRdHTl+dynKoqUuVq714PbMzt+Fvu4c589mUAo2bPUV/Iy3EEKICVCK\nVCSMv6cXb98AUe+VrbIPLY/w83dUTdFcoDlGXUaxY8cOnn32WQ4ePMjatWtxu91XXOuK29/xANYL\nz0BLE7y9D33jdkLuGkLumisea1kmyVz/VVuE00aUwXQbg6OO4UyGJKZCzAVFOPgIQMsmAKge2mE6\nOjEtZMXUsnCPMfgoa6RojR4GoDa8vSChCcj4VxIrewhvrpWEaylp3ypMZ6TQYV0TXVfUrfKwYLGL\n0w0pLpzLcOFchtbmDMtXe1iywo2uz1yiaJoWbx+0/z7WrXQXpForhBBiapIlkXxi2k+0uuqKN2fd\nDo33j5rQu7nGP+bRrtraWmpqamhra+PIkSNs3z7+zzrK6UI99D6sn/wT5nM/Rtuw7arHxpTS8DlL\n8TlLqfCvvOLzWSM5nKxOhRw+EWIOsPKrYlQRrYpJptI4zCwGGjVl+TOml7XyFq5ao6cz6Nkshq6T\n83iGP94aPYRhZSj3rcDvqihYfAISJe8hs/QPSYa3z/mkdDS3R2PdZh/veTBIZbWDXBZOHE2x69dR\n2loy9oTtGdB4Kk10wMTn11i+xjP+E4QQQhSNjN9HzunEkc3iiifGfMxDyyOEPTpneuyq6ViUUtx6\nqz31/siRIyQSY1/riufd+SCES6C5EY4emNqLAJy6lxLvIhaGtk7p+ZKYCjEXDJ8xLZ5kqr3HHlCT\n1T24HXZ1ZniHaSaEx1u4by/D50uDgcvedWweNY1XiJkUDOtsuzPAtvf4CYY0EnGTQ3sS7H4lRl9P\nbvwLTEI8ZnCqIQXAui1eHA5p4RVCiDlFKZIlYQC8/f1jPsQ+a1oKwI/ru6/6RmdNTQ2LFy8mm81y\n8ODBid3e5UY9+D4AzOd+PGNvoo5HElMh5oLhxLR4KqbtPXZ11HKNTLzV8hXTrBYp6NqM4fOlo9p4\nU7lBOmL1KDQWhm4pVGjiBlM5z8mdDwZZt9mLy63o6zZ44zcxDu+Nk0yY13x9y7KoP5TENGB+rZPK\necU5KEoIIcS7S0bs7iFP3wBcJTF8aHnJuFVTgB077Dfg6+vriUajE7q/uvMhCEXgwlk4dmiS0U8P\nSUyFKHJWIgbJBLg9EBhj72OBdPfZFVN9aIepZaCbUSwLLFe4cIGNPl86an/pxcH9WJjMC6zF4yj8\njlVx49A0xeJlbu55b4hlq9xoGrReyPLKC4OcrE+Sy079nenW5ixdHTmcLsWam2VnqRBCzFU5r4e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RCV/ptmNQ4hhBBCiNmQioSxsH8G0nK5ST9/ZbmXx1eVYlrw92+2kzVGOkGDwSDr168HmHzV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\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8yIMPPkgmk8nblOO9SSaTLFmyhGXLluHxePId5xRPPvkkK1euxDRNamtr+ad/+qe8D486\n4bbbbiMSiWCz2fjCF77AxIkT85alp/fZ2bNnc++999LS0kJFRQW33HJLXiai6ymbz+fjoYceorOz\nE5/PR21tLd/5zncKItvjjz9OJpPpLhDGjBnDTTfdlPdc69ev59ixY9hsNiorK/nyl7+cl+LvTG36\nzTffzA9/+MO8TNjXU7Zt27Zx8OBBDMOgoqKCr3zlK93X2eU728UXX8wDDzzAwYMHcTgcfP7zn+eC\nCy4oiGyLFi3igQceYOzYsXmbq6GnXMOHD+cXv/gFmUwGh8PBTTfdxIgRIwoiWzwe59lnn8UwDObM\nmZO3Zf56O78dPXp0XtuE3nKlUqm8twc9Zfv0pz/NQw89lPf2oLef24svvnjWbcKAFaYiIiIiIiIi\nPSnsmTBERERERETkvKfCVERERERERPJKhamIiIiIiIjklQpTERERERERySsVpiIiIiIiIpJXKkxF\nREREREQkr1SYioiInIWlS5eydevWfMcQERE5r6gwFRERERERkbxSYSoiIlJgcrlcviOIiIgMKHu+\nA4iIiJxrDhw4wMMPP0xLSwtTp07l5ptvxm6388ILL/Dkk08SjUYZN24cX/7ylykpKaG5uZmbb76Z\nRx99FNPs+kz4P/7jP1i4cCGXXXYZK1eu5MUXX2T06NG88sorXHnllVx//fV5fpYiIiIDRz2mIiIi\nZ2nVqlV897vfZdmyZdTV1bFy5Uq2bt3Ko48+yr/8y7/w4IMPUl5ezn333dfnfe7du5fq6mp+/vOf\n86lPfeoDTC8iIlJ4VJiKiIicpWuuuYbi4mJ8Ph8zZ87kwIEDvPbaa1x22WXU1tZit9u54YYb2L17\nNy0tLX3aZ2lpKVdddRWmaeJwOD7gZyAiIlJYVJiKiIicpeLi4u7bLpeLRCJBe3s7FRUV3d93u90E\nAgHa2tr6tM+ysrL3PaeIiMi5QoWpiIjIe2QYBiUlJTQ1NXV/L5FIEA6HKS0txeVyAZBKpbrv7+jo\nOG0fIiIiH1YqTEVERN4HCxYs4OWXX6auro50Os2jjz7K2LFjKS8vJxgMUlpayiuvvEIul+Oll16i\noaEh35FFREQKhmblFREROQu99WxOmjSJ66+/nh/96EfEYjHGjh3LN77xje77v/rVr/KLX/yCRx99\nlMsuu4zx48cPVGQREZGCZ1iWZeU7hIiIiIiIiHx4aSiviIiIiIiI5JUKUxEREREREckrFaYiIiIi\nIiKSVypMRUREREREJK9UmIqIiIiIiEheqTAVERERERGRvFJhKiIiIiIiInmlwlRERERERETySoWp\niIiIiIiI5NX/D8C2T0kU0xsSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x120642050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_g['value'].unstack(level=0).plot(lw=2)\n",
    "ax.set_xticks(range(0, len(df_g.index) // 7))\n",
    "#ax.set_xticklabels(weekdays, rotation=45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.axis.XTick at 0x121b99e50>,\n",
       " <matplotlib.axis.XTick at 0x121b99a90>,\n",
       " <matplotlib.axis.XTick at 0x113b7e550>,\n",
       " <matplotlib.axis.XTick at 0x113b7ebd0>,\n",
       " <matplotlib.axis.XTick at 0x113b8a390>,\n",
       " <matplotlib.axis.XTick at 0x113b8ab10>,\n",
       " <matplotlib.axis.XTick at 0x121638bd0>,\n",
       " <matplotlib.axis.XTick at 0x113ba02d0>,\n",
       " <matplotlib.axis.XTick at 0x113ba07d0>,\n",
       " <matplotlib.axis.XTick at 0x113ba35d0>,\n",
       " <matplotlib.axis.XTick at 0x113b92fd0>,\n",
       " <matplotlib.axis.XTick at 0x113ba0f50>,\n",
       " <matplotlib.axis.XTick at 0x113bb3710>,\n",
       " <matplotlib.axis.XTick at 0x113bb3e90>,\n",
       " <matplotlib.axis.XTick at 0x113bbf650>,\n",
       " <matplotlib.axis.XTick at 0x113bbfdd0>,\n",
       " <matplotlib.axis.XTick at 0x113bc6590>,\n",
       " <matplotlib.axis.XTick at 0x113bc6d10>,\n",
       " <matplotlib.axis.XTick at 0x113bce4d0>,\n",
       " <matplotlib.axis.XTick at 0x113bcec50>,\n",
       " <matplotlib.axis.XTick at 0x113bd9410>,\n",
       " <matplotlib.axis.XTick at 0x113bd9b90>,\n",
       " <matplotlib.axis.XTick at 0x113be2350>,\n",
       " <matplotlib.axis.XTick at 0x113be2ad0>]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5ZVp9Sbfccgu33HLLKR/71Kc+lZaARESykTFmPDHdsOmdN6hrjP6/sxXjOFj2lEPPJcvs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\ngMf3NJ329u2tYXxeid0hSEwe+xmdY0UUTkdbewUL9j9CfKARd4fO7q0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59kBLxFtFo+mf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\nbJY2XiGEEEJEUWX1yJxpILKJV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GpaS5AAlGFgvP8j4HSid7+A3r87liFG1ZxMTFsH/Hzm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\nUwAAAACAVRRTAAAAAIBV/x8DWWKtv1Z0vgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121638cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_g.loc[[1, 5, 6]]['value'].unstack(level=0).plot(lw=2)\n",
    "ax.set_xticks(range(24))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### And over the course of a day?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Sum of counts for all combinations\n",
    "df_g_h = df[['value', 'hour']].groupby('hour').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hour</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>59.870611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>58.378108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>57.090742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>55.536897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>54.122853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>54.572159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>59.868634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>73.323679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>79.444134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>74.587318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>72.747744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>72.130579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>72.757663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>73.121654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>72.380660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>73.681205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>74.484113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>77.416940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>76.897947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>76.882241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>73.893329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>69.132085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>65.062778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>63.494964</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          value\n",
       "hour           \n",
       "0     59.870611\n",
       "1     58.378108\n",
       "2     57.090742\n",
       "3     55.536897\n",
       "4     54.122853\n",
       "5     54.572159\n",
       "6     59.868634\n",
       "7     73.323679\n",
       "8     79.444134\n",
       "9     74.587318\n",
       "10    72.747744\n",
       "11    72.130579\n",
       "12    72.757663\n",
       "13    73.121654\n",
       "14    72.380660\n",
       "15    73.681205\n",
       "16    74.484113\n",
       "17    77.416940\n",
       "18    76.897947\n",
       "19    76.882241\n",
       "20    73.893329\n",
       "21    69.132085\n",
       "22    65.062778\n",
       "23    63.494964"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_g_h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x113e7d1d0>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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iB7r++usxZ84cZGVlAQBs28Z3332HG264AVWqVMFHH32EDRs24NVXX8UzzzyDtLS0Qq9z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\nwafZNeb4UB0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121669110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_g_h.plot()\n",
    "ax.set_xticks(range(0, 24))\n",
    "ax.set_title(\"Hourly mean heart rate\")\n",
    "ax.set_ylabel(\"Mean Heart Rate\")"
   ]
  }
 ],
 "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": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}