L3-working_with_ASCII_csv_txt.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text files and CSV"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pandas\n",
    "* Data in tabular form? Use [Pandas](https://pandas.pydata.org/) package\n",
    "* It can easily read and write text/ascii/csv files\n",
    "* Data is messy? Read the messy data and clean in Pandas\n",
    "* Pandas can deal with column renaming, missing values, column datatypes, date and time settings and timezones \n",
    "* Want to plot all numerical columns in the same axis? Pandas plotting method got you covered\n",
    "* Pandas documentation [page](https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html) has a 10 min guide to get you started"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise\n",
    "We will use Pandas to do the following tasks\n",
    "* Read rainfall data (accessible from data/ directory) for 36 subdivisions in India\n",
    "* plot summer monsoon rainfall for all divisions for a given year\n",
    "* tidy the data and index it by date\n",
    "* plot time series for selected subdivisions\n",
    "\n",
    "Data used here is provided by India Meteorological Department(IMD), Govt. of India\n",
    "and downloaded from [here](https://www.kaggle.com/rajanand/rainfall-in-india) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
    "_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a"
   },
   "outputs": [],
   "source": [
    "# read the data\n",
    "df = pd.read_csv('data/rainfall_in_india_1901-2015.csv',na_values='nan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SUBDIVISION</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>JAN</th>\n",
       "      <th>FEB</th>\n",
       "      <th>MAR</th>\n",
       "      <th>APR</th>\n",
       "      <th>MAY</th>\n",
       "      <th>JUN</th>\n",
       "      <th>JUL</th>\n",
       "      <th>AUG</th>\n",
       "      <th>SEP</th>\n",
       "      <th>OCT</th>\n",
       "      <th>NOV</th>\n",
       "      <th>DEC</th>\n",
       "      <th>ANNUAL</th>\n",
       "      <th>Jan-Feb</th>\n",
       "      <th>Mar-May</th>\n",
       "      <th>Jun-Sep</th>\n",
       "      <th>Oct-Dec</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>1901</td>\n",
       "      <td>49.2</td>\n",
       "      <td>87.1</td>\n",
       "      <td>29.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>528.8</td>\n",
       "      <td>517.5</td>\n",
       "      <td>365.1</td>\n",
       "      <td>481.1</td>\n",
       "      <td>332.6</td>\n",
       "      <td>388.5</td>\n",
       "      <td>558.2</td>\n",
       "      <td>33.6</td>\n",
       "      <td>3373.2</td>\n",
       "      <td>136.3</td>\n",
       "      <td>560.3</td>\n",
       "      <td>1696.3</td>\n",
       "      <td>980.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>1902</td>\n",
       "      <td>0.0</td>\n",
       "      <td>159.8</td>\n",
       "      <td>12.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>446.1</td>\n",
       "      <td>537.1</td>\n",
       "      <td>228.9</td>\n",
       "      <td>753.7</td>\n",
       "      <td>666.2</td>\n",
       "      <td>197.2</td>\n",
       "      <td>359.0</td>\n",
       "      <td>160.5</td>\n",
       "      <td>3520.7</td>\n",
       "      <td>159.8</td>\n",
       "      <td>458.3</td>\n",
       "      <td>2185.9</td>\n",
       "      <td>716.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>1903</td>\n",
       "      <td>12.7</td>\n",
       "      <td>144.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>235.1</td>\n",
       "      <td>479.9</td>\n",
       "      <td>728.4</td>\n",
       "      <td>326.7</td>\n",
       "      <td>339.0</td>\n",
       "      <td>181.2</td>\n",
       "      <td>284.4</td>\n",
       "      <td>225.0</td>\n",
       "      <td>2957.4</td>\n",
       "      <td>156.7</td>\n",
       "      <td>236.1</td>\n",
       "      <td>1874.0</td>\n",
       "      <td>690.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>1904</td>\n",
       "      <td>9.4</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>202.4</td>\n",
       "      <td>304.5</td>\n",
       "      <td>495.1</td>\n",
       "      <td>502.0</td>\n",
       "      <td>160.1</td>\n",
       "      <td>820.4</td>\n",
       "      <td>222.2</td>\n",
       "      <td>308.7</td>\n",
       "      <td>40.1</td>\n",
       "      <td>3079.6</td>\n",
       "      <td>24.1</td>\n",
       "      <td>506.9</td>\n",
       "      <td>1977.6</td>\n",
       "      <td>571.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>1905</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>26.9</td>\n",
       "      <td>279.5</td>\n",
       "      <td>628.7</td>\n",
       "      <td>368.7</td>\n",
       "      <td>330.5</td>\n",
       "      <td>297.0</td>\n",
       "      <td>260.7</td>\n",
       "      <td>25.4</td>\n",
       "      <td>344.7</td>\n",
       "      <td>2566.7</td>\n",
       "      <td>1.3</td>\n",
       "      <td>309.7</td>\n",
       "      <td>1624.9</td>\n",
       "      <td>630.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 SUBDIVISION  YEAR   JAN    FEB   MAR    APR    MAY    JUN  \\\n",
       "0  ANDAMAN & NICOBAR ISLANDS  1901  49.2   87.1  29.2    2.3  528.8  517.5   \n",
       "1  ANDAMAN & NICOBAR ISLANDS  1902   0.0  159.8  12.2    0.0  446.1  537.1   \n",
       "2  ANDAMAN & NICOBAR ISLANDS  1903  12.7  144.0   0.0    1.0  235.1  479.9   \n",
       "3  ANDAMAN & NICOBAR ISLANDS  1904   9.4   14.7   0.0  202.4  304.5  495.1   \n",
       "4  ANDAMAN & NICOBAR ISLANDS  1905   1.3    0.0   3.3   26.9  279.5  628.7   \n",
       "\n",
       "     JUL    AUG    SEP    OCT    NOV    DEC  ANNUAL  Jan-Feb  Mar-May  \\\n",
       "0  365.1  481.1  332.6  388.5  558.2   33.6  3373.2    136.3    560.3   \n",
       "1  228.9  753.7  666.2  197.2  359.0  160.5  3520.7    159.8    458.3   \n",
       "2  728.4  326.7  339.0  181.2  284.4  225.0  2957.4    156.7    236.1   \n",
       "3  502.0  160.1  820.4  222.2  308.7   40.1  3079.6     24.1    506.9   \n",
       "4  368.7  330.5  297.0  260.7   25.4  344.7  2566.7      1.3    309.7   \n",
       "\n",
       "   Jun-Sep  Oct-Dec  \n",
       "0   1696.3    980.3  \n",
       "1   2185.9    716.7  \n",
       "2   1874.0    690.6  \n",
       "3   1977.6    571.0  \n",
       "4   1624.9    630.8  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display first 5 rows\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SUBDIVISION</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>JAN</th>\n",
       "      <th>FEB</th>\n",
       "      <th>MAR</th>\n",
       "      <th>APR</th>\n",
       "      <th>MAY</th>\n",
       "      <th>JUN</th>\n",
       "      <th>JUL</th>\n",
       "      <th>AUG</th>\n",
       "      <th>SEP</th>\n",
       "      <th>OCT</th>\n",
       "      <th>NOV</th>\n",
       "      <th>DEC</th>\n",
       "      <th>ANNUAL</th>\n",
       "      <th>Jan-Feb</th>\n",
       "      <th>Mar-May</th>\n",
       "      <th>Jun-Sep</th>\n",
       "      <th>Oct-Dec</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4111</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>2011</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>85.9</td>\n",
       "      <td>107.2</td>\n",
       "      <td>153.6</td>\n",
       "      <td>350.2</td>\n",
       "      <td>254.0</td>\n",
       "      <td>255.2</td>\n",
       "      <td>117.4</td>\n",
       "      <td>184.3</td>\n",
       "      <td>14.9</td>\n",
       "      <td>1533.7</td>\n",
       "      <td>7.9</td>\n",
       "      <td>196.2</td>\n",
       "      <td>1013.0</td>\n",
       "      <td>316.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4112</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>2012</td>\n",
       "      <td>19.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.6</td>\n",
       "      <td>76.8</td>\n",
       "      <td>21.2</td>\n",
       "      <td>327.0</td>\n",
       "      <td>231.5</td>\n",
       "      <td>381.2</td>\n",
       "      <td>179.8</td>\n",
       "      <td>145.9</td>\n",
       "      <td>12.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>1405.5</td>\n",
       "      <td>19.3</td>\n",
       "      <td>99.6</td>\n",
       "      <td>1119.5</td>\n",
       "      <td>167.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4113</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>2013</td>\n",
       "      <td>26.2</td>\n",
       "      <td>34.4</td>\n",
       "      <td>37.5</td>\n",
       "      <td>5.3</td>\n",
       "      <td>88.3</td>\n",
       "      <td>426.2</td>\n",
       "      <td>296.4</td>\n",
       "      <td>154.4</td>\n",
       "      <td>180.0</td>\n",
       "      <td>72.8</td>\n",
       "      <td>78.1</td>\n",
       "      <td>26.7</td>\n",
       "      <td>1426.3</td>\n",
       "      <td>60.6</td>\n",
       "      <td>131.1</td>\n",
       "      <td>1057.0</td>\n",
       "      <td>177.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4114</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>2014</td>\n",
       "      <td>53.2</td>\n",
       "      <td>16.1</td>\n",
       "      <td>4.4</td>\n",
       "      <td>14.9</td>\n",
       "      <td>57.4</td>\n",
       "      <td>244.1</td>\n",
       "      <td>116.1</td>\n",
       "      <td>466.1</td>\n",
       "      <td>132.2</td>\n",
       "      <td>169.2</td>\n",
       "      <td>59.0</td>\n",
       "      <td>62.3</td>\n",
       "      <td>1395.0</td>\n",
       "      <td>69.3</td>\n",
       "      <td>76.7</td>\n",
       "      <td>958.5</td>\n",
       "      <td>290.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4115</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>2015</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>3.7</td>\n",
       "      <td>87.1</td>\n",
       "      <td>133.1</td>\n",
       "      <td>296.6</td>\n",
       "      <td>257.5</td>\n",
       "      <td>146.4</td>\n",
       "      <td>160.4</td>\n",
       "      <td>165.4</td>\n",
       "      <td>231.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>1642.9</td>\n",
       "      <td>2.7</td>\n",
       "      <td>223.9</td>\n",
       "      <td>860.9</td>\n",
       "      <td>555.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      SUBDIVISION  YEAR   JAN   FEB   MAR   APR    MAY    JUN    JUL    AUG  \\\n",
       "4111  LAKSHADWEEP  2011   5.1   2.8   3.1  85.9  107.2  153.6  350.2  254.0   \n",
       "4112  LAKSHADWEEP  2012  19.2   0.1   1.6  76.8   21.2  327.0  231.5  381.2   \n",
       "4113  LAKSHADWEEP  2013  26.2  34.4  37.5   5.3   88.3  426.2  296.4  154.4   \n",
       "4114  LAKSHADWEEP  2014  53.2  16.1   4.4  14.9   57.4  244.1  116.1  466.1   \n",
       "4115  LAKSHADWEEP  2015   2.2   0.5   3.7  87.1  133.1  296.6  257.5  146.4   \n",
       "\n",
       "        SEP    OCT    NOV    DEC  ANNUAL  Jan-Feb  Mar-May  Jun-Sep  Oct-Dec  \n",
       "4111  255.2  117.4  184.3   14.9  1533.7      7.9    196.2   1013.0    316.6  \n",
       "4112  179.8  145.9   12.4    8.8  1405.5     19.3     99.6   1119.5    167.1  \n",
       "4113  180.0   72.8   78.1   26.7  1426.3     60.6    131.1   1057.0    177.6  \n",
       "4114  132.2  169.2   59.0   62.3  1395.0     69.3     76.7    958.5    290.5  \n",
       "4115  160.4  165.4  231.0  159.0  1642.9      2.7    223.9    860.9    555.4  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display last 5 rows\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4116 entries, 0 to 4115\n",
      "Data columns (total 19 columns):\n",
      "SUBDIVISION    4116 non-null object\n",
      "YEAR           4116 non-null int64\n",
      "JAN            4112 non-null float64\n",
      "FEB            4113 non-null float64\n",
      "MAR            4110 non-null float64\n",
      "APR            4112 non-null float64\n",
      "MAY            4113 non-null float64\n",
      "JUN            4111 non-null float64\n",
      "JUL            4109 non-null float64\n",
      "AUG            4112 non-null float64\n",
      "SEP            4110 non-null float64\n",
      "OCT            4109 non-null float64\n",
      "NOV            4105 non-null float64\n",
      "DEC            4106 non-null float64\n",
      "ANNUAL         4090 non-null float64\n",
      "Jan-Feb        4110 non-null float64\n",
      "Mar-May        4107 non-null float64\n",
      "Jun-Sep        4106 non-null float64\n",
      "Oct-Dec        4103 non-null float64\n",
      "dtypes: float64(17), int64(1), object(1)\n",
      "memory usage: 611.1+ KB\n"
     ]
    }
   ],
   "source": [
    "# prints info of row and column types\n",
    "# and the number of non-null values\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "_uuid": "1714802893b0167cecc7b44b127692eca5e0e010"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "YEAR     0\n",
       "JAN      4\n",
       "FEB      3\n",
       "MAR      6\n",
       "APR      4\n",
       "MAY      3\n",
       "JUN      5\n",
       "JUL      7\n",
       "AUG      4\n",
       "SEP      6\n",
       "OCT      7\n",
       "NOV     11\n",
       "DEC     10\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the number of null values\n",
    "df.loc[:,'YEAR':'DEC'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ANDAMAN & NICOBAR ISLANDS', 'ARUNACHAL PRADESH',\n",
       "       'ASSAM & MEGHALAYA', 'NAGA MANI MIZO TRIPURA',\n",
       "       'SUB HIMALAYAN WEST BENGAL & SIKKIM', 'GANGETIC WEST BENGAL',\n",
       "       'ORISSA', 'JHARKHAND', 'BIHAR', 'EAST UTTAR PRADESH',\n",
       "       'WEST UTTAR PRADESH', 'UTTARAKHAND', 'HARYANA DELHI & CHANDIGARH',\n",
       "       'PUNJAB', 'HIMACHAL PRADESH', 'JAMMU & KASHMIR', 'WEST RAJASTHAN',\n",
       "       'EAST RAJASTHAN', 'WEST MADHYA PRADESH', 'EAST MADHYA PRADESH',\n",
       "       'GUJARAT REGION', 'SAURASHTRA & KUTCH', 'KONKAN & GOA',\n",
       "       'MADHYA MAHARASHTRA', 'MATATHWADA', 'VIDARBHA', 'CHHATTISGARH',\n",
       "       'COASTAL ANDHRA PRADESH', 'TELANGANA', 'RAYALSEEMA', 'TAMIL NADU',\n",
       "       'COASTAL KARNATAKA', 'NORTH INTERIOR KARNATAKA',\n",
       "       'SOUTH INTERIOR KARNATAKA', 'KERALA', 'LAKSHADWEEP'], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# unique values in a column\n",
    "df['SUBDIVISION'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SUBDIVISION</th>\n",
       "      <th>JAN</th>\n",
       "      <th>FEB</th>\n",
       "      <th>MAR</th>\n",
       "      <th>APR</th>\n",
       "      <th>MAY</th>\n",
       "      <th>JUN</th>\n",
       "      <th>JUL</th>\n",
       "      <th>AUG</th>\n",
       "      <th>SEP</th>\n",
       "      <th>OCT</th>\n",
       "      <th>NOV</th>\n",
       "      <th>DEC</th>\n",
       "      <th>ANNUAL</th>\n",
       "      <th>Jan-Feb</th>\n",
       "      <th>Mar-May</th>\n",
       "      <th>Jun-Sep</th>\n",
       "      <th>Oct-Dec</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1901</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>49.2</td>\n",
       "      <td>87.1</td>\n",
       "      <td>29.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>528.8</td>\n",
       "      <td>517.5</td>\n",
       "      <td>365.1</td>\n",
       "      <td>481.1</td>\n",
       "      <td>332.6</td>\n",
       "      <td>388.5</td>\n",
       "      <td>558.2</td>\n",
       "      <td>33.6</td>\n",
       "      <td>3373.2</td>\n",
       "      <td>136.3</td>\n",
       "      <td>560.3</td>\n",
       "      <td>1696.3</td>\n",
       "      <td>980.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1902</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>159.8</td>\n",
       "      <td>12.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>446.1</td>\n",
       "      <td>537.1</td>\n",
       "      <td>228.9</td>\n",
       "      <td>753.7</td>\n",
       "      <td>666.2</td>\n",
       "      <td>197.2</td>\n",
       "      <td>359.0</td>\n",
       "      <td>160.5</td>\n",
       "      <td>3520.7</td>\n",
       "      <td>159.8</td>\n",
       "      <td>458.3</td>\n",
       "      <td>2185.9</td>\n",
       "      <td>716.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1903</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>12.7</td>\n",
       "      <td>144.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>235.1</td>\n",
       "      <td>479.9</td>\n",
       "      <td>728.4</td>\n",
       "      <td>326.7</td>\n",
       "      <td>339.0</td>\n",
       "      <td>181.2</td>\n",
       "      <td>284.4</td>\n",
       "      <td>225.0</td>\n",
       "      <td>2957.4</td>\n",
       "      <td>156.7</td>\n",
       "      <td>236.1</td>\n",
       "      <td>1874.0</td>\n",
       "      <td>690.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1904</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>9.4</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>202.4</td>\n",
       "      <td>304.5</td>\n",
       "      <td>495.1</td>\n",
       "      <td>502.0</td>\n",
       "      <td>160.1</td>\n",
       "      <td>820.4</td>\n",
       "      <td>222.2</td>\n",
       "      <td>308.7</td>\n",
       "      <td>40.1</td>\n",
       "      <td>3079.6</td>\n",
       "      <td>24.1</td>\n",
       "      <td>506.9</td>\n",
       "      <td>1977.6</td>\n",
       "      <td>571.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1905</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>26.9</td>\n",
       "      <td>279.5</td>\n",
       "      <td>628.7</td>\n",
       "      <td>368.7</td>\n",
       "      <td>330.5</td>\n",
       "      <td>297.0</td>\n",
       "      <td>260.7</td>\n",
       "      <td>25.4</td>\n",
       "      <td>344.7</td>\n",
       "      <td>2566.7</td>\n",
       "      <td>1.3</td>\n",
       "      <td>309.7</td>\n",
       "      <td>1624.9</td>\n",
       "      <td>630.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1906</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>36.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>556.1</td>\n",
       "      <td>733.3</td>\n",
       "      <td>247.7</td>\n",
       "      <td>320.5</td>\n",
       "      <td>164.3</td>\n",
       "      <td>267.8</td>\n",
       "      <td>128.9</td>\n",
       "      <td>79.2</td>\n",
       "      <td>2534.4</td>\n",
       "      <td>36.6</td>\n",
       "      <td>556.1</td>\n",
       "      <td>1465.8</td>\n",
       "      <td>475.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1907</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>110.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>113.3</td>\n",
       "      <td>21.6</td>\n",
       "      <td>616.3</td>\n",
       "      <td>305.2</td>\n",
       "      <td>443.9</td>\n",
       "      <td>377.6</td>\n",
       "      <td>200.4</td>\n",
       "      <td>264.4</td>\n",
       "      <td>648.9</td>\n",
       "      <td>245.6</td>\n",
       "      <td>3347.9</td>\n",
       "      <td>110.7</td>\n",
       "      <td>751.2</td>\n",
       "      <td>1327.1</td>\n",
       "      <td>1158.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1908</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>20.9</td>\n",
       "      <td>85.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>562.0</td>\n",
       "      <td>693.6</td>\n",
       "      <td>481.4</td>\n",
       "      <td>699.9</td>\n",
       "      <td>428.8</td>\n",
       "      <td>170.7</td>\n",
       "      <td>208.1</td>\n",
       "      <td>196.9</td>\n",
       "      <td>3576.4</td>\n",
       "      <td>106.0</td>\n",
       "      <td>591.0</td>\n",
       "      <td>2303.7</td>\n",
       "      <td>575.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>26.6</td>\n",
       "      <td>22.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>89.3</td>\n",
       "      <td>224.5</td>\n",
       "      <td>472.7</td>\n",
       "      <td>264.3</td>\n",
       "      <td>337.4</td>\n",
       "      <td>626.6</td>\n",
       "      <td>208.2</td>\n",
       "      <td>267.3</td>\n",
       "      <td>153.5</td>\n",
       "      <td>2899.4</td>\n",
       "      <td>49.3</td>\n",
       "      <td>520.1</td>\n",
       "      <td>1701.0</td>\n",
       "      <td>629.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1911</th>\n",
       "      <td>ANDAMAN &amp; NICOBAR ISLANDS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>122.5</td>\n",
       "      <td>327.3</td>\n",
       "      <td>649.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>187.1</td>\n",
       "      <td>464.5</td>\n",
       "      <td>333.8</td>\n",
       "      <td>94.5</td>\n",
       "      <td>247.1</td>\n",
       "      <td>2687.2</td>\n",
       "      <td>8.4</td>\n",
       "      <td>449.8</td>\n",
       "      <td>1553.6</td>\n",
       "      <td>675.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    SUBDIVISION    JAN    FEB    MAR    APR    MAY    JUN  \\\n",
       "YEAR                                                                        \n",
       "1901  ANDAMAN & NICOBAR ISLANDS   49.2   87.1   29.2    2.3  528.8  517.5   \n",
       "1902  ANDAMAN & NICOBAR ISLANDS    0.0  159.8   12.2    0.0  446.1  537.1   \n",
       "1903  ANDAMAN & NICOBAR ISLANDS   12.7  144.0    0.0    1.0  235.1  479.9   \n",
       "1904  ANDAMAN & NICOBAR ISLANDS    9.4   14.7    0.0  202.4  304.5  495.1   \n",
       "1905  ANDAMAN & NICOBAR ISLANDS    1.3    0.0    3.3   26.9  279.5  628.7   \n",
       "1906  ANDAMAN & NICOBAR ISLANDS   36.6    0.0    0.0    0.0  556.1  733.3   \n",
       "1907  ANDAMAN & NICOBAR ISLANDS  110.7    0.0  113.3   21.6  616.3  305.2   \n",
       "1908  ANDAMAN & NICOBAR ISLANDS   20.9   85.1    0.0   29.0  562.0  693.6   \n",
       "1910  ANDAMAN & NICOBAR ISLANDS   26.6   22.7  206.3   89.3  224.5  472.7   \n",
       "1911  ANDAMAN & NICOBAR ISLANDS    0.0    8.4    0.0  122.5  327.3  649.0   \n",
       "\n",
       "        JUL    AUG    SEP    OCT    NOV    DEC  ANNUAL  Jan-Feb  Mar-May  \\\n",
       "YEAR                                                                       \n",
       "1901  365.1  481.1  332.6  388.5  558.2   33.6  3373.2    136.3    560.3   \n",
       "1902  228.9  753.7  666.2  197.2  359.0  160.5  3520.7    159.8    458.3   \n",
       "1903  728.4  326.7  339.0  181.2  284.4  225.0  2957.4    156.7    236.1   \n",
       "1904  502.0  160.1  820.4  222.2  308.7   40.1  3079.6     24.1    506.9   \n",
       "1905  368.7  330.5  297.0  260.7   25.4  344.7  2566.7      1.3    309.7   \n",
       "1906  247.7  320.5  164.3  267.8  128.9   79.2  2534.4     36.6    556.1   \n",
       "1907  443.9  377.6  200.4  264.4  648.9  245.6  3347.9    110.7    751.2   \n",
       "1908  481.4  699.9  428.8  170.7  208.1  196.9  3576.4    106.0    591.0   \n",
       "1910  264.3  337.4  626.6  208.2  267.3  153.5  2899.4     49.3    520.1   \n",
       "1911  253.0  187.1  464.5  333.8   94.5  247.1  2687.2      8.4    449.8   \n",
       "\n",
       "      Jun-Sep  Oct-Dec  \n",
       "YEAR                    \n",
       "1901   1696.3    980.3  \n",
       "1902   2185.9    716.7  \n",
       "1903   1874.0    690.6  \n",
       "1904   1977.6    571.0  \n",
       "1905   1624.9    630.8  \n",
       "1906   1465.8    475.9  \n",
       "1907   1327.1   1158.9  \n",
       "1908   2303.7    575.7  \n",
       "1910   1701.0    629.0  \n",
       "1911   1553.6    675.4  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# index by year\n",
    "df_year = df.set_index('YEAR')\n",
    "df_year.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fce36a674a8>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cell magic command to get plots inline\n",
    "%matplotlib inline \n",
    "# select a year and plot rainfall through jun-sep for all subdivision\n",
    "df_year.loc[2003,['SUBDIVISION','Jun-Sep']].plot(x='SUBDIVISION',kind='bar',figsize=(12,4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function to convert datetime from strings to python recognized type for datetime\n",
    "def tidy(df):\n",
    "    df = df.copy()\n",
    "    df['date'] = pd.to_datetime(df['year'].astype(str)+df['month'].astype(str),format='%Y%b')\n",
    "    return df.set_index('date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subdivision</th>\n",
       "      <th>precip</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-08-01</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>146.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-01</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>160.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-01</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>165.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-01</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-01</th>\n",
       "      <td>LAKSHADWEEP</td>\n",
       "      <td>159.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            subdivision  precip\n",
       "date                           \n",
       "2015-08-01  LAKSHADWEEP   146.4\n",
       "2015-09-01  LAKSHADWEEP   160.4\n",
       "2015-10-01  LAKSHADWEEP   165.4\n",
       "2015-11-01  LAKSHADWEEP   231.0\n",
       "2015-12-01  LAKSHADWEEP   159.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reorient the data so that dates become the index and \n",
    "# drop the columns to the right of \"ANNUAL\" column\n",
    "df_clean= (df.loc[:,'SUBDIVISION':'DEC']\n",
    "           .dropna(how='any')\n",
    "          .set_index(['SUBDIVISION','YEAR'])\n",
    "          .stack()\n",
    "          .reset_index()\n",
    "          .rename(columns={'YEAR':'year','level_2':'month',0:'precip','SUBDIVISION':'subdivision'})\n",
    "          .reindex(columns=['subdivision','year','month','precip'])\n",
    "          .pipe(tidy) # calls function tidy with preceeding dataframe as argument\n",
    "          .drop(columns=['year','month'])\n",
    "         )\n",
    "df_clean.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'Monthly rainfall in Kerala')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# select data for Kerala and plot\n",
    "df_krl = df_clean.loc[df_clean['subdivision']=='KERALA',['precip']]\n",
    "df_krl.loc['1990':'2015'].plot(figsize=(21,3))\n",
    "plt.suptitle(\"Monthly rainfall in Kerala\",fontweight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precip_telangana</th>\n",
       "      <th>precip_kerala</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1901-01-01</th>\n",
       "      <td>6.9</td>\n",
       "      <td>28.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1901-02-01</th>\n",
       "      <td>41.8</td>\n",
       "      <td>44.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1901-03-01</th>\n",
       "      <td>7.8</td>\n",
       "      <td>51.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1901-04-01</th>\n",
       "      <td>45.2</td>\n",
       "      <td>160.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1901-05-01</th>\n",
       "      <td>22.0</td>\n",
       "      <td>174.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            precip_telangana  precip_kerala\n",
       "date                                       \n",
       "1901-01-01               6.9           28.7\n",
       "1901-02-01              41.8           44.7\n",
       "1901-03-01               7.8           51.6\n",
       "1901-04-01              45.2          160.0\n",
       "1901-05-01              22.0          174.7"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# select rainfall for Telangana state and join it to the dataframe for Kerala\n",
    "df_tel = df_clean.loc[df_clean['subdivision']=='TELANGANA',['precip']]\n",
    "df_join = df_tel.join(df_krl,lsuffix='_telangana',rsuffix='_kerala')\n",
    "df_join.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'Rainfall distribution')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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M2LFj+drXvsaXvvSld8quv/56rr76anbv3l3ByA59B7tP30nfzCpGErt27eKwww57p+ytt97ife97H8M9Nw13B0v67t4xs4oZM2YMN9544wFlN954I2PGjKlQRNXPt2yaWcV8/vOf54orrgDgwgsv5MYbb+SKK67gwgsvrHBk1ctJ38wqZsmSJQBcffXVXHrppYwZM4YLL7zwnXIbeO7eMbOKOu200zjhhBMYMWIEJ5xwAqeddlqlQ6pqPtM3s4ppaWmhubn5PQ9cA3yv/iDx3TtmVjGNjY3U19ezZs0a9uzZw5gxYzj77LN55pln/GjlMvnRymY27GzevJnNmzczYcIEXnrpJY488kjuuMOD6g0m9+mbWcVEBDU1Nbz88ssAvPzyy9TU1Pge/UHUl+ESV0jaIempgrKjJd0r6Zk0Papg3VWStkh6WtKsgvKTJT2Z1n0jjZVrZjm3b98+9u/PRlXdv38/+/btq3BE1a0vZ/o3A2d1K7sSuC8i6oH70jKSpgBzgZNSmxsk1aQ2S4EFZIOl1xfZppnl1IQJExgxYgQTJkyodChVr9ekHxEPAi93K54NrEzzK4E5BeW3RcSeiNhKNgj6KZKOBY6IiIcj+9x2S0EbM8u5iKCzs9PdOkOg1D79YyJiO0Cadr091wHPF9RrT2V1ab57uZkZL7300gFTGzwDfSG3WD999FBefCPSAkkbJW3cuXPngAVnZpZ3pSb9l1KXDWm6I5W3A5MK6k0EXkzlE4uUFxURyyJiakRMra2tLTFEMzPrrtSkfycwP83PB+4oKJ8raYyk48ku2G5IXUBvSDo13bVzfkEbMzMbIr1+OUtSC3AGMF5SO/Bl4BpglaQm4DngHICI2CRpFbAZ2AdcFBH706YWkt0JNA5Yk37MzGwI+TEMZlYxPX1dZ7jnpuHOg6iY2bB1+OGHHzC1weOkb2YV9+abbx4wtcHjpG9mliNO+mZmOeKkb2aWI076ZlZxI0aMOGBqg8e/YTOrKEl0dnYC0NnZ2eNtnFY+J30zq6iIYNy4cYwYMYJx48b5/vxB5qRvZhW3d+9eOjs72bt3b6VDqXpO+mZWcV1n9z7LH3weGN3MhlSxPvvCPv1i9fxmMHB8pm9mQyoi3vmZOXMmAAsXLmTiF25j4cKFAMycOfOAejZw/MA1M6uoWbNmce+99xIRSOLMM89k7dq1lQ7rkOcHrpnZsLR27Vo6Ozv54BV30dnZ6YQ/yJz0zcxyxEnfzCxHnPTNzHKkrKQv6U8kbZL0lKQWSWMlHS3pXknPpOlRBfWvkrRF0tOSZpUfvpmZ9UfJSV9SHfAFYGpENAI1wFzgSuC+iKgH7kvLSJqS1p8EnAXcIKmmvPDNzKw/yu3eGQmMkzQSOAx4EZgNrEzrVwJz0vxs4LaI2BMRW4EtwCll7t/MzPqh5KQfES8A1wHPAduB1yLiHuCYiNie6mwHJqQmdcDzBZtoT2XvIWmBpI2SNu7cubPUEM3MrJtyuneOIjt7Px74JeB9kj7bU5MiZUW/GRYRyyJiakRMra2tLTVEMzPrppzund8GtkbEzojoAP4ZOA14SdKxAGm6I9VvByYVtJ9I1h1kZmZDpJyk/xxwqqTDlD0ZaQbQBtwJzE915gN3pPk7gbmSxkg6HqgHNpSxfzMz66eSn7IZET+QdDvwI2Af8GNgGXA4sEpSE9kbwzmp/iZJq4DNqf5FEbG/zPjNzKwfynq0ckR8Gfhyt+I9ZGf9xeovBhaXs08zMyudv5FrZpYjTvpmZjnipG9mliNO+mZmOeKkb2aWI076ZmY54qRvZpYjTvpmZjnipG9mliNO+mZmOeKknwMtLS00NjZSU1NDY2MjLS0tlQ7JzCqkrGfv2PDX0tJCc3Mzy5cvZ9q0abS2ttLU1ATAvHnzKhydmQ01n+lXucWLF7N8+XKmT5/OqFGjmD59OsuXL2fxYj/3ziyPnPSrXFtbG9OmTTugbNq0abS1tVUoIjOrJCf9KtfQ0EBra+sBZa2trTQ0NFQoIjOrJCf9Ktfc3ExTUxPr16+no6OD9evX09TURHNzc6VDM7MK8IXcKtd1sXbRokW0tbXR0NDA4sWLfRHXLKfKSvqSjgRuAhqBAC4Anga+B0wGtgHnRsQrqf5VQBOwH/hCRKwtZ//WN/PmzXOSNzOg/O6drwN3R8RHgI+SDYx+JXBfRNQD96VlJE0B5gInAWcBN0iqKXP/ZmbWDyUnfUlHAJ8AlgNExN6IeBWYDaxM1VYCc9L8bOC2iNgTEVuBLcAppe7fzMz6r5wz/V8GdgL/IOnHkm6S9D7gmIjYDpCmE1L9OuD5gvbtqew9JC2QtFHSxp07d5YRopmZFSon6Y8Efg1YGhG/CuwideUchIqURbGKEbEsIqZGxNTa2toyQjQzs0LlJP12oD0ifpCWbyd7E3hJ0rEAabqjoP6kgvYTgRfL2L+ZmfVTyUk/In4GPC/pxFQ0A9gM3AnMT2XzgTvS/J3AXEljJB0P1AMbSt2/mZn1X7n36S8CvitpNPBT4I/I3khWSWoCngPOAYiITZJWkb0x7AMuioj9Ze7fzMz6oaykHxGPAVOLrJpxkPqLAT/py8ysQvwYBjOzHHHSNzPLESd9M7MccdI3M8sRJ/0c8Bi5ZtbFj1auch4j18wK+Uy/ynmMXDMr5KRf5TxGrpkVctKvcg0NDZx77rmMHTsWSYwdO5Zzzz3XY+Sa5ZSTfpWrq6tj9erVXHDBBbz66qtccMEFrF69mrq6ok+1NrMq5wu5Ve6BBx7g9NNPZ8WKFSxdupQxY8Zw+umn88ADD1Q6NDOrAJ/pV7k9e/bwwgsvsGbNGvbu3cuaNWt44YUX2LNnT6VDM7MKcNKvcpI4++yzD7h75+yzz0YqNqaNmVU7J/0cWLZsGddffz1vvfUW119/PcuWLat0SGZWIe7Tr3JTpkyhvr6eq6++mksvvZQxY8bwqU99imeeeabSoZlZBfhMv8o1Nzezbt06Ojs7Aejs7GTdunU0NzdXODIzqwQn/Sr30EMP8frrr9PR0QFAR0cHr7/+Og899FCFIzOzSig76UuqkfRjSXel5aMl3SvpmTQ9qqDuVZK2SHpa0qxy9229+9a3vtWvcjOrbgNxpn8JUPid/iuB+yKiHrgvLSNpCjAXOAk4C7hBUs0A7N96EBH9Kjez6lZW0pc0EfgkcFNB8WxgZZpfCcwpKL8tIvZExFZgC3BKOfu3vlu4cCGvvvoqCxcurHQoZlZB5Z7p/2/gcqCzoOyYiNgOkKYTUnkd8HxBvfZU9h6SFkjaKGnjzp07ywzRAJYuXcqRRx7J0qVLKx2KmVVQyUlf0u8AOyLi0b42KVJWtI8hIpZFxNSImFpbW1tqiGZm1k059+mfDnxa0v8AxgJHSPoO8JKkYyNiu6RjgR2pfjswqaD9RODFMvZvZmb9VPKZfkRcFRETI2Iy2QXadRHxWeBOYH6qNh+4I83fCcyVNEbS8UA9sKHkyM3MrN8G4xu51wCrJDUBzwHnAETEJkmrgM3APuCiiNg/CPs3swr76Ffv4bW3O/rdbvKV/9rnuh8YN4rHvzyz3/vIuwFJ+hFxP3B/mv8vYMZB6i0GPE6fWZV77e0Otl3zyUHdR3/eIOxd/kaumVmOOOmbmeWIk35OHHXUUQdMzSyf/GjlKlRsgJRXXnnlgGmxen40g1n1c9KvQoXJu6cRspzkzfLH3TtVbubM7Ja2ESNGHDDtKjezfHHSr3Jr165l5syZ75zVRwQzZ85k7dq1FY7MzCrBST8H1q5dS2dnJx+84i46Ozud8M1yzEnfzCxHnPTNzHLESd/MLEec9M3McsRJ38wsR5z0zcxyxEnfzCxHnPTNzHLESd/MLEdKTvqSJklaL6lN0iZJl6TyoyXdK+mZND2qoM1VkrZIelrSrIF4AWZm1nflnOnvAy6NiAbgVOAiSVOAK4H7IqIeuC8tk9bNBU4CzgJukFRTTvBmZtY/JSf9iNgeET9K828AbUAdMBtYmaqtBOak+dnAbRGxJyK2AluAU0rdv5mZ9d+A9OlLmgz8KvAD4JiI2A7ZGwMwIVWrA54vaNaeyoptb4GkjZI27ty5cyBCNDMzBiDpSzoc+CfgixHxek9Vi5QVHcUjIpZFxNSImFpbW1tuiGZmlpSV9CWNIkv4342If07FL0k6Nq0/FtiRytuBSQXNJwIvlrN/MzPrn3Lu3hGwHGiLiOsLVt0JzE/z84E7CsrnShoj6XigHthQ6v7NzKz/yhkj93Tgc8CTkh5LZVcD1wCrJDUBzwHnAETEJkmrgM1kd/5cFBH7y9i/mZn1U8lJPyJaKd5PDzDjIG0WA4tL3aeZmZWnnDN9M7Oi3t9wJf9t5ZWDvA+ATw7qPqqRk76ZDbg32q5h2zWDm5AnX/mvg7r9auWkfwj76Ffv4bW3O/rVpr//KB8YN4rHvzyzX23MbPhy0j+EvfZ2h8+mzKxf/JRNM7MccdI3M8sRJ30zsxxx0jczyxEnfTOzHHHSNzPLESd9M7MccdI3M8sRJ30zsxxx0jczyxEnfTOzHHHSNzPLET9w7RDmZ5bbcDbYD+v7wLhRg7r9ajXkSV/SWcDXgRrgpoi4ZqhjqBZ+ZrkNV6Ucl5Ov/NdBP55tiLt3JNUA3wLOBqYA8yRNGcoYzMzybKjP9E8BtkTETwEk3QbMJhss3Urgj9Bm1h9DnfTrgOcLltuB3+heSdICYAHAcccdNzSRHYIO9lFYOth49T2LiHLCMeuTno5P/W3xch+bA2eo794p9td+z18zIpZFxNSImFpbWzsEYVWXiCjpx2wo+NisrKFO+u3ApILlicCLQxyDmVluDXXS/yFQL+l4SaOBucCdQxyDmVluDWmffkTsk3QxsJbsls0VEbFpKGMwM8uzIb9PPyL+Dfi3od6vmZn5MQxmZrnipG9mliNO+mZmOeKkb2aWIxruX3yQtBN4ttJxVInxwM8rHYTZQfj4HFgfjIj3fLt12Cd9GziSNkbE1ErHYVaMj8+h4e4dM7MccdI3M8sRJ/18WVbpAMx64ONzCLhP38wsR3ymb2aWI076ZmY54qQ/jEl6qMR2V/ex3jZJ40vZh1lflHEMvznQsaTt3i8p17eFOukPkTQofL9ExGkl7q5PSd+sP4b4GC6JMs5rPfAvZwBImizpJ5JWSnpC0u2SDktn0n8hqRU4R9KHJN0t6VFJ/0/SR1L7YyR9X9Lj6ee0VP5mmp4h6cFUZ7OkGw92YEu6Bhgn6TFJ301ln5W0IZV9u9g/r6TVKa5NaYzirvI3JS1OcT0i6ZhU/qG0/ENJf1kQ6+GS7pP0I0lPSppd8Dtqk/R/0j7ukTQurft82s7jkv5J0mED99exvhhOx3C3uMZLeljSJ9Pyn6Zj5QlJXy2IvU3SDcCPgEmSlkramI61rx5k273WqUqljqfqnwPG75xMNtbv6Wl5BXAZsA24vKDefUB9mv8NYF2a/x7wxTRfA3wgzb+ZpmcAu4FfTuvvBT7TQzxvFsw3AP8CjErLNwDnp/ltwPg0f3SajgOeAn4hLQfwqTR/LfBnaf4uYF6av7Ag1pHAEWl+PLCFbGzkycA+4GNp3Srgs2n+Fwri/WtgUaX/pnn7GY7HMHAM8APgzFQ2k+y2TpGdsN4FfCLF3gmcWtD+6IJY7gd+JS3fD0ztqU61/wz5ICpV7PmI+Pc0/x3gC2n+e5CdAQOnAf8ovTM+/Jg0/S3gfICI2A+8VmT7GyLip2lbLcA04PY+xDUDOBn4YdrvOGBHkXpfkPS7aX4SUA/8F7CX7J8L4FHgzDT/cWBOmr8VuC7NC/iapE+Q/SPWkf3zAmyNiMcKtjU5zTdK+mvgSOBwspHVbOgNp2N4FNkbzEUR8UAqm5l+fpyWDyc7Tp8Dno2IRwran5s+sY4EjgWmAE9020df6lQdJ/2B0/0LD13Lu9J0BPBqRHxsgLffGwErI+Kqg1aQzgB+G/h4RLwl6X5gbFrdEel0CNhP78fMeUAtcHJEdEjaVrCtPQX19pO9AQHcDMyJiMcl/SHZWaENveF0DO8jOzGYBXQlfQF/ExHfLqwoaXJBjEg6nuxTyq9HxCuSbubdY7DPdaqV+/QHznGSPp7m5wGthSsj4nVgq6Rz4Nu0KlAAAAGXSURBVJ0LTh9Nq+8DFqbyGklHFNn+KcoGlB8B/H737XfTIWlUwbY/I2lC2v7Rkj7Yrf4HgFdSwv8IcGofXu8jwO+l+bndtrUjJfzpQPd9FfN+YHuK+bw+1LfBMZyO4QAuAD4i6cpUtha4IH3iQFJd13HdzRFkbwKvpWtQZ5dYpyo56Q+cNmC+pCeAo4GlReqcBzRJehzYBMxO5ZcA0yU9SXZ2c1KRtg8D15D1t28Fvt9DLMuAJyR9NyI2A38G3JNiu5fso2yhu4GRaf1fkSX03nwR+JKkDWl7XR/nvwtMlbQxvd6f9GFbf07Wd3tvH+vb4BhOx3BXN9HctN0/joh7yLoSH077uZ3shKF7u8fJuoA2kV2b+PdS6lQrP4ZhAKSPl3dFROMgbf8M4LKI+J3B2H4p0h02b0dESJpLdlF3dm/tbHjK4zGcV+7Tt1KdDHxT2RW9V8k+ipvZMOcz/UOYpB/w7t0TXT4XEU9WIh6z/vIxPPSc9M3McsQXcs3McsRJ38wsR5z0zcxyxEnfzCxHnPTNzHLk/wM78GGuq179CgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_join.plot(kind='box')\n",
    "plt.suptitle(\"Rainfall distribution\",fontweight='bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "subdivision\n",
       "ARUNACHAL PRADESH       AxesSubplot(0.125,0.2;0.775x0.68)\n",
       "ASSAM & MEGHALAYA    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "KERALA               AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BnHX8/Iz12BoYYx9gjD3LGHt2YWFhA4dIbAbylRpet2sEBge+38e2DLGojaejGE6EKSljE/Hn3z9qj5l94viSb8dR0w38q08/jr/56UnfjoEgmnFaMqjpb3MgLBlb02aFmXNKLZHNRgRzCMBrAHyac34DgAIs+0UbWIvHWn7CnPPPcs5v4pzfND4+voFDJPyGc458pYabdg5j93iyr20ZosIcDwdxyUiCBPMm4cDZDP5h/xnc+4aduGIihadO+CeYV4oaypqBEwt5346BIJqxLRmhuiWDmv78ZbUkKswxcE6fhwo2IphnAMxwzp+2/vxNmAJ6jjG2FQCsX+cdz592/PwUgNkNvD5xEVCs6tANjlQsjF++ZiueOrGEpXx/2jLKDsE8TYJ5U6AbHB+//yDGBqL4D3dejlsuHcUzp5ZtgaCa5YJZNTq7QoNtiM2DXWEOBxAJmbUvGl7iLyuFKhKRIAbjYQCgxj8FrFswc84vADjLGLvCeugOAIcBPADgXuuxewHcb/3+AQD3MMaijLFdAPYA2L/e1ycuDvIV07+cioXwy9dutWwZcz4flT+UquaCFgsHsWM0gXMrJWow85nnTq/gxZlV/Je7rkA6FsYtl46irBk4cNYfH7O4mZyhmyliE+H0MEeCZq8+WTL8ZaWoYSgeRixsfh7U+CefjaZk/D6ALzPGXgRwPYD/BuDPANzJGHsFwJ3Wn8E5PwTg6zBF9UMAPsQ5p0/4VY5oXhqIhnDV1hS2D8Xx+PFFn4/KH5otGTWD4/xqf2dT+43Y1ty7NQ0AeP2uUTAGPOHTd3TJqjAvFaooWDebBOE3jZYMs8JMTX/+slqqYigRQTxiyjhq/JNPaCM/zDl/AcBNLf7qjjbP/wSAT2zkNYmLi6yVkJGOhcEYw56JAZzu0yl3QjDHIgFMjyQAmNFy4vf9xse/fRCFag3/37++3rdjKFbN72c8YlZpBhNhXL0tjSePL+H//EX1x+O0K82slOzMbsI/RDMVY63acPoDZ9NfwHobqlRh9pWVoobhZBixEFWYVUGT/gip5Mt1SwYA7BxN4vRisS87esvVxgozAJzu4633g7OreOjgBV9tKSIbOxGpR8K/4dIx/OxMxpeKjfAwA5TTvVn4m5+ewF3/4yd+H4avCMEcC9dj5TSqMPvKSrGKoXgEsQgJZlWQYCakIjKYByzBvGM0gVyl1iAM+gW7whwOYutgHOEgw8vnsz4flX+UqjqKVR2HZv17D4qOmxjBLbtHUdUNPHd6RfnxLBWq9pb32RUSzJuBHx6exyvzeRhG/93kCypa3ZIhYuWowuwvq0UNQ4mwvXaRJUM+JJgJqeQrpkc0FTM7eXeOJgEAp/pwaEdZ0xEOMoSDAQQDDL+0dxJfeOo0HjzQn2ExQqw+c2rZt2OwfeWOCvNrd40gGGC++JiX8lXsGE0iHg7i7DIlZfiNphs4MJMB50DRB0FyfCG/KYY9NeQw06Q/3+GcI1MyBXOMBLMySDATUsk1WTJ2jFpWhD70MZc03V7cAOAv3rsPr90xgv/49Rfw6NH5Dj/56kQI5v0n/RPMxWoNwQCzRQBgNqheNzXoy3EtF6oYTUYwPRKnCvMm4PBs1haLwl6mkn//xefwxw8eUv66zdQFcxDhEE3685tcpQbd4BhORBwVZvo8ZEOCmZCKaPpLRkzBPDWcQIABpxb7TzCXNb1h6z8eCeJzv3UT9mxJ4YNfeg4/n8v5eHTqKVkNd8+cWvZtu7tY1ZEIB9c0dE0NJ7CYV28bWixUMDYQxfRwwhcPM1WpGnn+TN2W48e48pVCFT87k1H+us3YKRnheoW5SjnMvpEpmN/FoUQEsbD5eYh+DEIeJJgJqeTLNQxEQwhardWRUABTw4m+tGSUqnrD1j9gpod89jdvRFkz8Pix/onb45yjqOmYTMewUtRw3KfJdq0+EwCIhwN2goZKlgtVjCQjmB5JYGalpLQ59oWzGVz7R9+nZkMHzzvEas6HmL9iVce5TMn3ng+RwxwJOiwZVGH2DTEWeyhe9zBT0598SDATUsmVNduOIdgxmuhfS0ZorTjbPhRHJBjAXNZ/r6IqKjUDnANvvnwcALDfJx9zsao3JGQIEpGQ8opNTTeQKWoYSUYwNRxHvlJDpqiuqvnzuRw0nZMVxMHzp1cwmY4BUG/JMAxui6CXzvkzSEdQqRmIBAMIBBjC1qQ/avrzj4yVHz+cDNspGbQ7VOfguVX8m7/b77ltiAQzIZWcVWF2snM02Z8VZs2wFzcnjDGMp6KYz/bPEBPhX75yawrjqahvPuaSpiMeWRtHH48ElVdslq2q0dhABFPDptd/RuGI7CXLgpIt0cAUALiwWsa5TMm+qcsrrjA7v38HfRfMOqKWd5kqzP6TERXmRMQuwpBgrvPwkXk8cnQBcx5fU0kwE1LJV2otK8yrJc0+6fuFclVHPNz6lJtIRzGX6yfBbIqPRCSIm3eO4Bm/BHObCnM8HISmc6VJAGLbfSQZxfRIHIDaaDkxNCXrg1d3MyL8y2++whTMqj3MRccOx0szfgtmA1Fr7QoGGBijCrOfrBTqloxwkCEYYNT050Csm17fRJBglsSPXp7D5x876fdh+I5pyQg3PNav0XKlpqY/JxPpWF9ZMoTdIR4J4bU7hzG7WsaMD1aAYrXW8jNJ+DAMQFR4RwciDZMglb1+QVSYSTADph0jGgrg5l0jAOqJP6oQN5WhAPPfkqEZiFqVTMbMVBkSzP4hLBmDcXOCbiwUIA+zgzPWuln02Fb3qhPMZU3H+z77FF44619n8Vy2jI985QX8+fdfht7HYfeAZcloqjDvHLMEc58lZZS11g1mgBDM/VRhtibshYN4rSVI/LBlFNs1/QnBrNDHLATraDKCdCyMwXhYbYVZCOYmYfjN52bwxadOKzuOzcJzZ1Zw7fZBDCciANRbMsQ5cu3UoO+Nf05LBmDaMrRaf1/b/CRTNHuDQpY9xg8L2WZGFBq8fk9edYJ5NlPCkyeW8J0X/RsG8Qf3H0SuUkNZM3CqD5vbnOQqNaSbBPP0SByMoe/em+YcZidb0lHkyrW+iQYSC1kiEsSVk2nEwgFfJv6VtPaWDMD7CkUnhCVidCAKwDxPVA4vsS0ZTRXmrz1zBv/w9Bllx7EZqNR0HDqXxY07hhEMMCQiQeVNf6LC/LpdowD8bfyr1Ax7wh8AhEMBVPX+WKs2I5li1b6RA8zpsZvBw1zWdPwf//A8vvHsWV+P4YJVfPL6evqqE8yr1mJ/wCfP10MHL+D7h+bw9uu2AgBePt9f2brNtLJkRENBbBuM43SfWTKac5idbEmZnfjzfeJjrlsygggGGEaTUTsqSSXtUzLUV5iXC1UEmOlLBGBmMSv1MJvvf7P1IFPU+s6mcfBcFlXdwA2XDAMwh9mot2SY373X7hy2jslfwRx1rF2bpcKcK2v44lOn+25s+UpRw3Cifl3dDIK5phv4/a/8DP/84nn8+OcLvh3HuUwJIo2TKsxdEIL54LlV5XaI1ZKGP7j/IK7amsZ//9XrEAwwHDmvvmq2WdB0A2XNWJOSAQA7xxL9V2GudvIwm1VF1T7mhw5ewE1/+kMUfNpuTlgJFUOJsNIINYH5mbRKyTAfK2nq3pelglk1CliZ5SKLWYUY4JxjqdC66S9T0ux1tV84adnFrpxMATAnlfplyZgcjGHHaMLXxr+K1mjJCIfYpvAw/+UPXsHHv30QL1/or8JUpljFoKPCHA8HG5r+OOdKM9w55/iv3zqIHxyeQzQUUH5z6cTZ90Ee5i6Ihb1Y1XFsXu0whO++dB7zuQr+9N3XIBkN4dLxJF6+sDkEc1nT8dDBC0pfM980FtvJjtFkX1WYOecdLRkTVtarah/zs6eWsZivKP+eOlMyAGA4EVGemsI5R7Fa21SWjNGB+kVwejiOas3AQl7+TVSuUoNmTW5zVpM551gtashXaqhtAoGkCnEdGbKqeAOxsPLBJfVzJIRrtw/6bslo9jD7LZgvrJbxpadNb33BhyFDfpIpNVeYAw27YZ/9yQm87ZM/VXY8f/PTE/jas2fx+2+5DK/dOaL85tKJUzBThbkLzsX+gOLGP7HIiqrElZNpHNkkloy/f+IUPvil55TeRIi7zJYV5tEElgvVvqlcVXUDBkf7pr+UP4JZJJUcVvw9FQuZeD8GE2G781sVnT4TvywZI8m6YJ5SmJSx5BgD7mz6K2m6LYz8rBqpRqxLwk6WioaQ9ylWLhkJ4trt/jb+mYK5fp6EgwHfc5j/+pFj9mAKlTe2m4FMUbOtW4BpyXCKw5cv5OxdEhV856ULuOGSIfzHOy9HKhbyZYy84MxyEdYmHUoe30i96gSzWOiSkSAOzKgVzOKkFdWpq7amcS5T2hSi8IEXzCZIlYIsV2m86DgR0XL9MvGvXDUX9nYV5nQ8hGgogIWcWkvGmWXz/X9ZsXWobskw34+huHpLRqnpGJzEfYqVEw1/ALAlZf5+UUGFWTT8jaeiDUUH52eyGdYxVWRLGlLREILWldcXD3OlflN57fZBAP41/lVqup3DDACRkL8V5pmVIr76zBm85pIhAN4Lo80M53xNb1C8ycO8UqyiUjOU2FINg+PnF3LYNzUExpglmP37PM4sF219UarSpL+OZIoa4uEg9k0P4UXFnq9ixcx0FR7EK7ealWbVYqSZY/N5HLaOQaUgEydNc0oGUI+WU3UXXKnp+KMHDtnCQDV2RbWNYGaMYUs6qvSGxjC4nVep2gMoBLOYUiUsGSqbd5pvcJ34YskoVDHqqDCLnZlCRf4xLFoV5l2jyQYPcz8L5rSjguenhzkRCeHKrWkAwCtz/uxYmjnMTbFyPgrm//nwMTAw/Oe7rgDQXxXmsmbujCUdO7fNTX9isImKG/4zy0WUNB1XWXpnIBr2WTCXsHMsiUgogKLHPSivOsG8WtIwGA9j3/QQjpzPKu0cLTZFVO21Fjm/GxIeOFCP2PNDMDfnMAPAtiFzkpkqgXhoNou/f+IUfvKKP927ZduC0P6Um0ipHV4yn6ugrBlIRII4eiGnVKyWqo03l0OJMAwOpT7RYrXRFuJEtSVD0w2sljSMJusVZtEQWVRQPRMNfzvHEshXavZ3IVOqWwD6STCvNgnmgVhIfaycVkM0FEAwwDAUDyPA4EuSDGDal5otGVWfLBkrhSq++fwM3nfzNC4dHwDQX4JZ3Lg5r6vNTX8rRdHLJf87K/pfrpw09Y64ufRjBgXnHDPLRVwykkAiEkSZmv46s1rSMJQIY9/UIGoGV5pSUWoagrAlFcVwIuxrUgbnHP98YBa37B5FJBRQsr0ryHewZCQjQUSCAfvEls2q9TpOr6ZKulWYAWt4icJYOWGHuf2KceQrNZzLqMv8bY5zG7I6vlcV2jJKTUkdTlRYMo7N5/CgdTMrKkIjA2srzHkFFeZl67zYOZYE50DeutA6P49+GpmdLWsYjNe/F6loCPlqTe0OSKV+jgQCDEOJiLL1spm1KRkBVHV/otyOLeShGxy/cOUWXwYM+Y0tmKP19TMWbpz0J26sVLwvR87nwBhw+UQ9UcZ5nCrJFDXkKjVMjyQQDwcpJaMbojJw3ZTpbVJpyyhWa0g6Lr6MMVy1NY0jPlaYD81mcWKxgHdevw3jA1FfKsytUjIYYxhOhm2hIBuxgPjVNCMWs3YeZsAcXjKvsMJ82rJj3HX1JADYth0VNN9cigYWZ0VTNs1JHU4iwQACTG6F5r4nTuMjX/0ZLqyWG6b8CWLhAJjkYxAsFapIx0IYsyrcwsfsrCr3W4V5sKnCzLnaNAbzprK+dprRiz42/YWbJ/35U2EWE2J3jiaR8ME65TciAtSpNWKOSX+abtjXXhXvy9ELOewcTdrredoqkPnR+CcshtPDccQjQRQpJaMzYqHbOhjDeCqqNCmj1ZjdKyfTOHoh69uI7AcOzCIcZHjbNZMYS0WVRFQJOqVkAKZvVZWAzfhcYS538MsKJtIx5Cs1ZZnIp5cKCAUYbr9iCxhTO2RnbYXZXGRVVtCKWntLBmMMiUjI86YRJ4VKDQYHvvWzc/b30imYGWNIRtR4ZxfzFYwORJG2qqrZkvmamT4WzOmY08Ns/l5l1aykNUYeDiciWCmo/ww456ZgDkix4coAACAASURBVDqb/vzLYT6zXEQwwLB9OI5QMIBI0Huv6mamXmFutGRUawYMgzf0HagQzC9fyNrJYEC9QOaHj1kI5ktGzQozWTK6kLUEM2MM+6YGlSZltJoadtXWFMqa4UsahGFwPHhgFm/aM46hRMSXCnMkGGhbVR1ORJR58sSFf8nnCnO7WDmgPrxkXtFndHqpiO3DcQzGw9gxklCaxVzUdHs4CFC3ZKisoHVKyQDMz0rm4BJxMfvH52dsD7EzhxkAktGgnZYgk6W82XAoRKKwX2SKGiKWKPFDMD/2yqIvVdVsqdZYYRb2GIUioFDRmwSz+uhFALYwXjPpzyfBfGqpiO1DcYQtAR+PBPvLktGiN0hcY8s1veF8kf2+FCo1nF4u2v5loH5z6adgnh42PcxkyeiCcyvtuqkhHF8oKPPetRbM5hfJjzzmk0sFnF8t21vu46mIUg+zGX3TuroMACNJlRVmYcnwNyWjoyVDcRbzGas5AjC/pyqbU0vVmr2dCtQrzCpFmZ1C0GLSHwApHjgnYnv/2Hwejx41m1GdTX+Aue2qwgawXKhidCBiN7rVLRlVDCbCSMfDdtVZFbOZEt7/+afx5afPKH3das1ASdPXWDIAtU2ppTWWDPXDfQDTjgGg0cPsY9Pf6aUCdowm7D/LEEabGbEeJJsqzID5nVlpqDDL/b7+fC4HzuuJYICzwqz+5u7schFjAxEkoyHEIyEaXNIJTTdQqNYXumu2m2L1aJMQeGUuJ6URr1StrWkgumzLgG8jskU1efuwmUgxPhDFcqGqzB6SK9daJmQIhpNhZVvwYpvKNw+zK0uGGI+tRjCfXiraF54rJ9M4tVRQ4pcFWlgyrHNW5ZZzt6p/QnLlqlTVce32QURDATx4YBbBAGsQaYB5UVRh0VkqWJYMu8JsWTKsAQmD8VBDPrMKHntlEYA50U0l4qZt0DFJLeVHhblpCuVQPOxLSkZFayGYQz5WmBcLds4u0IcV5haWjJjlLy/XjIZrnOxYOaGtrmqoMPtnyTi7UsS0VQSKN00/9IJXlWC2FzrrorNrzIycac76/X++9RI+/u2Dnr9+oUWFORYO4rLxgTXWkNWihj+4/6BUT5yoJo9ZwxDGU1EYvB4hJZt8pda5wqwwe1dcaHzzMLtq+jMrzCoa/zJFc8qiuPBcuTUFztfeXMqiuekvFAwgFQ0pbfoTww7aCeZ4JCj1glOo6phIR/FLV0+iZnAMJyJ2zJ4gEQmiIFkM6AbHcqGKsWTEPl+FOM4UzdShwXhYuSVDRECq3BUD6naUVh5mlSKg+RwZTkZQ1gylUamAmWEPoCFWLuJThTlTrCJbrrWoMPeRh7lFb1DMUWFWacl4+UIOiUgQU1ZRDnCeK/40/U0Pm9+NBFWYOyMWdLG9OzUcRzDA7K5awSvzeSxLuFNvXuAEt1w6imdOLdsLDwA88OIsvvDkaTx7atnz4xAs5oRgjli/msJZlY85V9aQiq6NlBMMJyMwuJq4KvHdyFVqDZ+DKkRGZicPcyoaQjwcVFJhPm2NxLYtGZNqM8OLVX1NtX0woXbaX6fBJeJxmVu9pWoN8UgIv/qa7QAaG/4EyWhIuhjIFKswuGmRaq4OZUoaBuMR5YJZNzgeO2ZWmFUL5ubCC1C3ZIioTBUUq3pDEkK9MVbtTb9tydgEk/5OWevWDkeFOREO9Zclo1IDY429F2INK2vNlgy578uR81lcMZlquNFP+WBfAkyHwWymbF/TYhQr1xmx0AkfXjgYwPRw3BYHgLklnylqnlcKOOcoNm2hCW69bAxlzcBzp1fsx358dL7hmGWwVKgiwOoNVeP2qF01C25XS4Z1XCpsEk4h5kenue1hDrU/5RhjmEhHlTT9iUg5ceGZGo4jGQkqm0rZ6lwZVuzRLFV1ezBEK2RbMkxBFMStl41hSypqn59OTEuG3IueHWk3EEUoGEAyErRvYleLVQxZHmaVgvnguVVkihpi4YCy9UrQfB0B6tU8lRXmQrXWWGG21kvV61crS4bZ9Kc++Uk0z+90VJhl7wRtNvIV80aKsfq6FWsQzFWErDVN5vvCOcfRuVxDw584lkgwoNyScT5Thm5wWzAnIkHPd2NelYLZWRnYOZZssGScWMgDgOd+vErNHFfZagjC63aPIBhgtievrOl4/NiSlONwspivYCQZtQWBuCCrqzB3tmQMWxU1FRWTlWIVWwdNy4PqihVgLlyRYAChYOdTbksqpqbCbJ0TYnEJBBiuVJgZXmpKyQCsnFnFTX/tEjIASGkaaX79eCSIUDCAz9/7Wnz87XvXPCcZCUr3MNuRdtZOlNngZ1kySsLDHFY6uOSnlh3jzr2T9k6ZKrL2daT+/awPkVEjAjjnKFV1JKNrG2NVN/61smSEgwHoBlcel3pqsQjGYPtUgf5r+stXtDVRrc5BSyuFKsYGzOu+zN2puWwFmaJmj8R2koqFlFsy7IQM28NsWnU49+47+qoSzNlWgnk0iVNLBftNO7FgCoVKzfB0a75TRFUqFsYN00P2FuMzp5btC7HMqs1CrmrbMQB/LBnpFlP+BCN2hVnuiVWzgtzFGFU/Gv9KVd1uzOjEFokV5v0nl+3JbaeXi5hIRxsqWLvGkjjj2I2RhaYb0HS+5lwxUwBUC+b2N3TxcEDaBUfsSIkt92unBnHF5NoLj2nJkF1hbux1SMdMcVyp6ShWddvDnC1pyibd/eSVRVy9LY0rJ1PIVWpKfbvZFhXmYIAhEQkqq5pVdQM1gzd8P0WFWXW0XMuUjJBZhFHd+Hd6uYDJdKyhF6Tfmv4KlcYbKQCIhUSF2cCK1XeQkGwpO2LFkF4xsXbdGoiFlFeYz67UM5gB83thcHhqHdqwYGaMBRljP2OM/bP15xHG2A8YY69Yvw47nvsxxtgxxthRxthdG33tZsTF1imYd40lUazqtkg8vpi3/87LD7TQYWoYANy6ZwwvnVvFSqGKR48uIBIys02zEr9US4VKwzZvMhpCIhJUUmHlnCNfqbUdWgKYKRkApE/7Ezclu8dN+4Efgrmstfa3NzORNivMXt4VA+aF7Tc+9xT+zd/vR7Vm4MxSETtGkg3PGU6o2XYvtrm5HIqrnWRW0modPxNzcImcC47Yker2nUhGgih4XCVppnloSjoeQrZUc6RFmB5mwzEyWyb5Sg3Pn17Bmy4ft2/4VebH25aMppv9VCykLCWjVaqObcnYDB5ma6dMtY/Zmewj6LumvxbX1XjE/DxKmtn0N5KMSL+RODZnaqlWN/opHwTzmeUiwkGGSat53hm15xVeVJg/AuCI488fBfAw53wPgIetP4MxthfAPQCuBvBWAJ9ijHVXED3QzpIB1JMyRIUZ8FYw2wtcm4rVbXvGwDnw5IklPHp0Hq/bNYKhRNiu+MlgMV9Z00g0pmh4SbGqw+Ctx2ILRhRZMkRFRlSY/RheUtL0jgkZgol0FMWq7vnWb7GqQ9M5nj+TwZ9+5zBOLRXsO3HBUCKCkqZLr+bVz5XmCrMp2FVVMbtbMuR5I9vdNDSTiJojmWVaQ5byFTBHr4OoMIu1aSgetsWjzPVK8NTxJdQMjtv2jNlVb5U2qmy5hmho7cClgaiaqYtA/fvR2pKh2sPcIiXDqjarTso4vdQYKQeYN7b9ZclY2xvk9DAvF6sYTkSkW1WWi1WEg2ujMAEgFQ37YsnYPhS3LagJh03FKzYkmBljUwB+BcDnHA+/C8B91u/vA/Bux+Nf5ZxXOOcnARwDcPNGXr+Z1ZKGRCRoTwACgF3WySUa/04s5O2tJS/9w/YC1+YCeN3UEAaiIXxl/xkcXyjg9iu2SO88X8xV7QuOYDylRjCLm5FUB0tGPBxEJBSQkljiRFxgLhlJIBRgWPLDw9wiFaIVYniJ17YMIVIvGUngC0+exnyugh0jjYJZLHyyq8zFNrsxQwkzNUVVZaJVUoeTeDgITedStp3Fe5DsYAkB6sMJZAq1pUIVI4mIfaFJxULIljX7RlM0/QFqEm1++soC4uEgbtwx7BDM6m5yV4taSxEwEAsr6/wv2pGHjdFh8XBQ+o5cM60sGaLCrNKSka/UsJivNiRkAOZ5WqkZyv3UflGo1NasG07BLKIgZaREOMkUzQQdZ/OhwI8K89nlYoO3XRRkvHwPNlph/h8A/i8AzrNmgnN+HgCsX7dYj28HcNbxvBnrsTUwxj7AGHuWMfbswsKC64NxTvkTbBuKIRRgOLlUQE03cGa5iGu3DwLw9sJcbFM1E4SDAbx+9yh+ajX+/cIV41IFc7FaQ0nTMdbUeT8+EFVSrRHxS51SMhhjGElEpF8AxDb/cDKCYYXTBZ24rTCLirzXW7/CMvSRO/bglt2jAIAdY40XHlUVrHqcW1PTn3Xuqspi7maTkVGhELSrsjcjbsBljsdeylcbRnKn42HkyjX7ezBkxcoBaiYxPn1yGa/dNYJoKGivXyorzK2uI4AZ+6iqatauADOcUDfsSVBqUWEWRSmtpk6kioSMVpYMQP6QDsC8mfruS+elv04nWloywnVxmHFUmEuaPNGaLWkNjbFOUrGwL5aMS5yCeTNZMhhjbwcwzzl/zu2PtHis5dnGOf8s5/wmzvlN4+Pjro+p1UIXCgZwyUgCpxYLOLtSgqZz7JseAuBttaReNWsvEG/bMwbArPLtGktKFcyLuUZfomAsFcGCgotP1q4wd66gmQJW7gUg49haHk1GfLFkVDTDVYVZxl0xUF800vEw/uev34DfesNO3HbZWMNzhuJWU5Hkir+4sK2JlROedkWCwI0lA5AT/l9oseXeCrGeyByPvVSoNIzkTsfMBj9hlRJNf4DcVB/BbKZkx4aJ9UtlUka23EYwK/QwiyjB5huqQR/GYx85n0U0FMDEYP07EhaWDF2dFeK0ncHcWjCr8DF/6enT+L0vP4/Ds+on9wo6WTLmsxUY3LyuyraqZEpV28bVjNilUkW2rCFT1BoF8yazZLwRwDsZY6cAfBXAWxhjXwIwxxjbCgDWr/PW82cATDt+fgrA7AZefw3tKgMiWk5Eyl1vCWYvqwVuPIm3WoL59ivGwRiTGtUkRPHaCnMMmaIm3Xsm7i7TXQTzSFL+uFextTyciGB0IOKPJcNl058QSF5XBkQ0WSISxNhAFH/0zqvtWD9BfTCCmgpz87kyqEiwC0ybTKeUDHmC2d5y7/D6QD3OTGYW81K+ipGGCnMIBjeFK2AOlElblSTZFeZSVUe2XMOE1bgTCweRioWUV5jTrSwZCj3M4vxvLsCYFWa1gvnJ40u4aefwmkl/AFBVWGE+ZVeYmywZYs1U4GM+cNac2PuDw3PSX6sdhUrNtmoJggGGSDCA86vmOTucCEtv+ssUNXtXsJl0zDxXVPWjnG2KlAOcN1KbQDBzzj/GOZ/inO+E2cz3I875+wE8AOBe62n3Arjf+v0DAO5hjEUZY7sA7AGwf91H3oJsO8E8msTppaLd8LdvSghm75v+Ognm3WNJ/Le7r8W/f/OlACB1GIAQheMtPMyA/PHY9fGd7T3MgOlblS6Yi1UwZt71jiSjvlky3FSYZZzkAFBsU9V1IgTzqmRLRLuR1PXXV1Vhbj1oSCDrswDqFovuTX/m38usMC/mKxhz3DyJBr8zy0UEAwypaMhRYZYrGC9YGeSi0x0w1yylHuY215EBhRXm9paMiNJYuZVCFS9fyOH1u0YbHo9YsXIqUzJOLxYxNhBdY0eQeZ42c/DcKgDgh0f8EcyVmtm83Sp9KhYOYHbVPH/qlgx570m78wQwLRmcy123nAjB7KwwxzaTJaMDfwbgTsbYKwDutP4MzvkhAF8HcBjAQwA+xDn39NPMtGnW2DWWQEnT8dSJJQwlwpgajoMxr5v+ulsyGGP49dddgu1D5tx14RWU0ayw2DSMQKAqpklU77tZMtR4mM3vRSDAfLNkmDnMLiwZYbmWjE7fT7G9JtvDXLdkNFfPxCQzNZ9PN0uGveBK8AGKG5hulgxxYZTlYa7WDGTLNYw6bqxFdfXschGD8TAYYxiIhhAMMOk3MxesC/7kYF0wjw1EldjIBO0KL6loCPmqmqpZsY0lY0jx+PinT5oDtm65tEkwB83jUtn0d3q5sMaOAcizsTWzlK9gdrWMrYMxvHRu1a7mqkTsNLUWzEGct3aFTEuG3Ka/1aKGwUQ7wax2Mmbz0BJAzm6tJ4KZc/4o5/zt1u+XOOd3cM73WL8uO573Cc75pZzzKzjn3/PitZ10smQAwOPHF7F7LIlAwLwAeJmBXHBRYW5GHKuMRhKxhen0JgLO8diyBbNVYXbhYc6UNKkdzitWEwRgeiJz5ZqnQ2vcYDaYdT/dEpJ8s05LRjuSkSBCASa9gtXOkiHsOyoqaLrBUakZXXOYAaBU9V4UlFqkILQ+BqvCLMkKsFxYe2MtLnZnlov2litjDOlYSLpgFlMuJ5wV5oGoMg+zYXDkKrWWVjKVVbN2KSpifLyqre6nTiwjHg7iOmtXVhAOWoNLFMbKnV4qrkn2AYCEROuUk5es6vKHfuEyAMAPfbBliB2OZksGYN44iBvL4UQY8bC8HPmabiBXqXWsMAPqJmOesW7uncdTt9RtosElm4VqzUBJ09taMgBzCs5uK4tXZI16Ramqg7HG6J1uyOw8X8pXMBgP23mZAlXT/nJlDYwBA10EwUjCvAjJvBA7b6SEV3NFcqNhM+4tGVZF0esKswtLBmNMybS9dgkRoWAA6VjIfv1zmRL+5MHDUm6m3LwfMpuJRKUo0eU7kZTc9GcL1FRdoApLxly20lBBkmkhE9iWjIYKs5pGZcC80eccrT3MIsFGgQgotDlHhhJhpdGLwr/cfB0RTX8VRRXmYrWG86tle/iUk/qaKfc9eWnGFMzvvH4bdo0l8S9+COaKsDquXTfi4SDEfKMhO4dZztAjUWxs52GuV5jVXGfPLJca7BiAc+dhk1WYNwP1qVRrP8BtQ3G7SUGccF7nBBarOpKRUMtMwnbI9AUuNkVFCUSFWbZgzpbN6JtAoPP7IRrPZPqKRS4lUO+6l+3hdsI5dx0rFwsHwJj3i3/RhSUDEFu+ci0R9rG0eD+GHCkA//D0afzt4yftOClvj6F7hbduyZAQKycEexdLRtJu+pMsmB0VXadYdF4QZTYpCy6sljEQDTVsOY8NRJErqxmPLf7/WnqYRSa2ArFaquoItCjAqJz2t5Sv4OhcDq/fPbrm7+wcZkUVZtF/JApeTmSkIbTipXOr2DWWRDoWxp17J/DUiSWlSRBA/ca5VW9Q1FqvggFzN0iMhq5I+IwydoJO+5QMAFInGTuZWS5ieiTe8JgoeHi5brz6BHOLhS4YYPabuXvMqjDHw556mLuN2W2F2PaTUbVZyFfWDC0BnF3nchfcXLm2ZrRsK1RcAJyWjBHLoqKy8a9SM8A5XAlmxhgSEgLni5UaGDMFeSfM8dTyLRmRYACh4NpjGUqEbUuGyCyX4cMrW9t0nar+suwxgCnYRWd7JyKhAMJBZlccvcYWzIPOWLm6WHVeEGUPWhLHM5FuXLfG7EZl+eesPRa7Q4VZhQhoV4CpRy/Kfy+ePmm6KVsK5pDa0dgnrEm9u8ZaVZjVeJgPnlu1ZzjcuXcCms7xk5+7nxPhBXVLRqsKs/mZDCfMvgOZ61cnvQWo9TDrBsfMSqnBvwyYWeGhANscKRmbjW4foDjRLrUqzGmPK8yFSucGolYMSkwFWMpX1iRkCMYVjMfOlrWuDX+AYzy2xIuhc3KXqLovKey6r2jdxZmTuIT8zGJVRyIc7LoD4hSssihV299cmqkpGpYLVdszKKNyVNS6e7plXojFeuFmRyoRCaEorcJcQTDAGnodnNM5neupCkvGXLbcYMcA6jYyFT7mTteRtEJLRrHNOaKqMRcw7RiJSBDXTQ2u+buw4kl/JxbyYMw/wSwa/oRgfs0lwxhNRpTHy9UtGa2b/oD6d8RuIJewfmY67OgD9TVEhSVjLltGVTfWWDIAc/dhs+QwbyqyXQTzZVtSiIQCuMTqsk3HwshVvM1hdiuIBDI9zO0sGYBZsVHhYXZVYU7KrTBrVnOCs+kPUFOtEogT1u0ORCIStJvCvKJQ1bs2mAHmYruqwJLRTqgOxcNYLVbx2LFF248nJdbNxaQ9qZaMLgkdTsz8X3kV5vGBqD0WGzCrh3H74usQzDFvd+VaH0+lwU8N1JN9VGQxd7qOiG1wFZaMYlVv2dglLDIqKsxPnVjCTTtHbHHsRFSYVU36O7lYwLbBeMtduvqAIXmfi7h5v8YSzMEAw617xrD/5HKnH/McYc1q1Uwvztlh65yV+b6sOoaBtUJlhflMi0g5QTzsbRZ19yvoRYIYp9tOMH/wzbvxtmsm7fD1VCzkqXe4pK0NE++GLMFcrRlYLWktLRmA6WM+InlSUa5ca8hSbcdIQniY5VyIxXsrLvzpWBjBAMOyQg+zLZhd3lDJiAMqdckcFgzF5Y/eLXYY4jJsVbh/6tjqlLHglzr4qAXRUAABJmvSX62rn1wgmndkcCFbxsTg2vM0HQ+hpOlrPcwls4mol14NtxgGNy0Z7SrMCgSzG0tG3sNCSzuK1VrL9WJYcoX5H5+bwTOnljGfq+CV+Tz+1WumWj5PpGQ0N/2VNR3fePYs3nvTtCsLmltOLBRaNvwBpp866PHWezOi4e/q7Wn7sanhOP75xQoMg3ft1fEKUWFumZLRVGGW1UAOdN/Rj4eDCAaYkgpzJ8HsdRb1RV1hNgxuT6wTdzztPsChRMQeiQ2IWeeaZx2k3TJdWxEPBxEOMs8bB4Q/t51gnkzHMLtaktpEkyvXXFky4pEgYuGAtIqJPRbbEsyBAMNIMqLUkiEEl9sLiNfbSID77+dQIoySpkv9bnSqrg4mIlgtafjJKwvYu9W8OEmxZLhogjR9gHLGy/ZSYU5GQ9I8zPPZCiZSa9cJsaXa7GGu6gbKmpxt+KVCFTWDr7nRrkdhqvMwd2r6U1E1a3e+puNhMCZvGubHvvUSvvPiecxly7hz7wTeef22ls+LihzmpoayTz1yDB+//xCePLHk2TFxznFiIY9LWzT8AfL6Ppw4G/4EE+kYdIMr3a20BXOLdUs0/Y3YglmehznTRW8xxjwPVmjH2eUiAswMd2gm5vH34qIWzB+//yB+9dNPwDA4Vq1qcavKQCvE+FevLkSldVgyzGxT732BdgZzG0vGbXvGUNYMu6lKBtly6/GyrRhORKQ14bXq5lU9vGQ9lgwpHmYXrz9ovU8yt96L1RoSbUZCD8XNmMG5bAV3XT1pPV/iaOou70ksHJQzuKQnwRyUl5KRKzckZAiEX9fpUZRpIQNaJ3YAVqNyNCTdRgaY/2/BAFszYQ/wQTC3qCIGAwyDknaBKjUd1ZqBD95+Kb7z4dvwN795kz1kq5lwi0l/p5cK+MxPTgDwNtVlPldBoaq39C8LZI+BPnhu1bZjCLZYN3LzubK0122mUKnZ1dtm7ApzstGSIcPDvFrSMBANtWzcFqgUzFsH4y2tQwmPvxcXtWA+uVjAS+dW8cMjc1gtaUhGgi3ftFZ4bUovuNzybkZG57kQzO0qzG+8bAyD8TC++9J5T19XwDl3XWEGTMEsq+kv08JrNZKUJ9BbUe7RkhEPy2j6c2cBEO+TzMa/UrWDJSNZ/5x+6eoJ+/kyjgFwMZpa0oXYbOpya8kISRHMZU1HpqitabID6oWHoYamP3mpPkDrKX+CsZSaaX/ZsmZPN2xGCGlVTX/t7ELDiYiUHTnhzXazbodbxMr9sSMz3cv16/hCHgDaWjIAq8ggaVdMNPxd1yyYrRu7+aw6e1++Ums7DCxmp2QoqDCXqm2ry4JUNKzMktHKjgFQ018D4u7lrx893nGueSvE1opXPuaSy6aqNcfhcbwdUN+6bJeSEQ4G8Et7J/DDw3NSJt6VNB26wRu67TsxkpRzAQDqwm/YUWFWLZjrlgx3p1sy6r1n1W1FU7ZHstuxDMXN1989nsSeLQP282UcA+BOMMt6/VZVzFYMRENSBpeIC/2WFpaMdBtLBgBp2bP20JIWFe+xgYiilIzWU/4EA7GQsqa/dhndssZji2E6rbb7mwkFGBirp2Q8fGQOP3p5Hv/21l0AvM2+PbnYPoNZEI+EpDX9HbcyoC+fTDU8Ls4bsTOignxFb5mQAdQLMrYlIyzRw+yYbdCOVMzbacrtaDW0ROB18ekiF8wa4uEgDpzN4Mc/X7C3k93g9SSaXi6ATmRWmNtZMgDgl6/dilylhsck2DLETYjrCnMyIq3RTFgynFvLYwNRJQ1EgnLN/6a/XjzMgNwu/GKHCrP4nN60ZxyhYACRYECOh1hz5ys3LRlyBHNPFh0JKRlzudYWCKBeTW5u+gPq/SKeH0+2jACrp2I4UXXOdiu8mIkl/nmYAXkVZpEa5aZ5nTGGcDCAim5A0w38yT8fxqXjSfze7ebYaC/P2RMLBcTCAWzt0EQu68YWqA/5ar6xHLctGequJYVKrWUGM1C3YAypSMlwUaBMxcLSby4zxSoW8xXsbGPXiUeCNLhEkCvX8CvXbcV4ylxMB+PuK7xpD6slhmFOcluvJcPrCvNSvoJ4ONhx4XvjZWNIx0L4jgRbhrgJcRMrB5jjseV5mDUEGJByvBcjyQhy5RqOL+RxcrEgfduo56a/cMjzbbR2nshmZIsiAB3PlV2jSWwfiuMd+8xmo7iEiD2g/SS1ZmRaMtxU8gDR9Of9e9DJAjGSjCIcZA19CLI9zBdWyxhPRVv6Ik3BLH9XKFvq3HsxEJM/7RDobKGSXWF2W+iIBgPQahzffek8Ti8V8dG3XWX/rLeCOY9dYwMdkyhkCuZ2FsdoKIiRZERthdmaoNsK0fQnolpl5lNnSt0rzOlYyNPo3lYcPm+mfe3dlm7592YzKI3Gtn2yYwNR/LvbzG2gXiwZXuYElms6OO88ZrcdcirMVYylOlfbI6EA7tw7iR9IsGVksgLk+QAAIABJREFUe/DCAVb2b0lDTUII/kqxiqFEpGGxFVu+d/y/P8Yv/MWjuPtTT3j+uk7K62r6q3mW4AJYsXIuBLtYBEVMoww6iYHhZASPf/QtuHHHMAC5loiEi1H2cl/fZdNfJISyZnh+fthNdqm1gvneW3bgi7/zuobmInEDLE0wZ8ttoyjHBqJYLWl2KpIsugnmiVQU51flCiTd4ChrRscKs4yUjHwPFWYACIcCqOo6PvuTE7h0PIk7rtyCQIAhFg54epN7YrGA3R0a/gDv83adLOYrCLD6kC0nW1JRpRXmfKW9YB6wKs9i1oA9uERSSkb3CrP8pr/DVjyuSFRqxutm0ItWMFdqBqq6gVQshF9/3Q4MJ8LYOti6o7cVXs46d+uHbEU6bvp8vBRHi/lKw+SudvzKdZPIlWt4/Ji3tgxRse3FwwzIaTTLlLQ14erv2LcNf/W+G/CXv7YPb7tmEicW8lLEuqDXHOZ4JAiDm99xL+Cco+hyB2QgGkIowKR5mA1LDPTyXsho5nE7yl6GJUM3OCo1w/UNlNiC9fp9mM9VEA0FbPuFk9GB6JqRyF7uyrXCHIvdRjCnxMAhueKk21bzjtEEziwXYRjyBnaI71un4T6Fqu75zYMYjtNOkDUTDjL89JVFHJrN4t/dttsuSiQiIc/OmUpNx9nlYseGP/M1g/b0Tq9ZzFcwkoy0TKbYko5hXmGFuVBtP+/hrqsn8cl7rrfTRAIBhmgo4Pn6xTlHtqRhMN65KGdG93qrbZo5fD6LLamobY9phpr+LLL2tn8IA9EQvveRN+E/33WF65+vN/1tfPF323HfisF4GLrBPfXFLearbRMynNx62ThSsRC+99IFz14bqN+EdGqecSK2kGRUTVaL2prxnfFIEO/ctw133zCFW/eMweByM17FVqdbS4bX3c1lzQDncGXJYIxJHY+9vqmH/lV4Zby+2CLsxZIBwHMf84VVcwy12yEkwQBDKhqSasloZQ8B6tvhMqPlOOd2SkY7LhlNolozbP+3DOqRh20sGZLWy0KHscutiIQCOL1UxNhABO++Ybv9eNzD7Nuzy0UYvHNCBiCa/mR5mNtfT5VXmDtYMhKREN51/faG81nG0KOSpqOqG10tGQOxEHTLriqLw7PZtnYMwPwuajr3bIT7RSuYc/a2v/mhTQ7GXJ/ogCleIsGAJ1sGboYgtEOGL3AxX2nZONNMJBTAdVODOGbF9niF7WF2aZERXb0yROtKsdqQkNHMVusCfX615PlrC5YKFQwnwi0rFK2wvWceLTTC/+r2hm4wHpY2GKHX3ZiEBD+3OA43VW5zcInHFxwXY7kbj8F8ntfNZnPZcks7RifSEixkgPmeZMu1thVmkZjyyMsLLf/ek2PQdGg679h7scPqxj+9VJR2HEU7raL9NEwAnjdKiwatdk1lzYhouXtv2dlQDPByG1wkVOwea5+QAcj1MC8VKm0F80TaFMwydxycdLJktELG4KVuU/4EssdjV2o6js3n29oxAEfxyaNr6UUvmFttJ7rFtENsfNHpVZA4saOaPIq345xjuVDtmJDhZCQZ9bzhLtejh1kcq4zGv0xxrSXDibhAX5DoS1zIVdpuGbVCVJa88gHaAs1lhXsoEZFmyej1WKRZMlxWmGVYMgo93jQk7RG33l545nMVbEm7/14CcmIwgc6RcoAZKfaLV23B3z5+UkpKhW5wPHhgFkBnIbBj1BTMZ2QK5i7fjx0jZrX1xZmMp6/baYpcKyLBAOLhIN7/+h0Nj3spXk9YgnmXC0tGSdOlbP93KkBtSamb9qfpBio1w7XHHPA+JQJoPdugFV7Pumjmlbk8agbvXGG2zqGyR9/Hi1gw9+aTbYXw2GyUXitGTtIeV5iz5Rp0g3esqjoZTUaw7HFlN1c2p2W5FUVCMC9JiI3KFKtrLBlOhO/9gkQfmluLjEA05xU82oIXFy+3C+1QXE4XPgDbZ+h2N8Zs5pExac/dIJdExNstPfHa5r/dmyXDS6HIOcdchya7dgzGQ57d3DvplNgh+P237MFqScMXnzzt6Ws/cnQed/7lj/F//+NLuHIyhV/cu6Xtc7cNxREMMJxeLnh6DE5KXc6Ra7anMT0Sx4MveptwlK/UkIwEO6ZROHnHvm34L3ddYVvqBHEPbzJPLOQxNhDtmrgUjwTBOaSMbV/sYMmYSKub9terZQaQU3m3x2K7yGEGvOkTa0W3hj/A+8bHi1gw91bFbEU6FvKkWmILkvUMLvG481xMzHNfYY4gV6l5mpSRLZlT/tx6I4W49/ouPV+poVDVsaXDtvNwIoxIKLCpKsxiYIFXJ3nB5RhogUgtkUHPlgyJKRVuPOVeb+kBvfc82E1/HnqYc5UailW9rQWiHTJSfQDnWOz258m+6SG86fJxfO6nJzyttv+nrx+AbnB8+jdeg+9++LaO60U4GMD2obhUS4a4UW73/WCM4R3XbcPjxxY9LTIUOkyRa8WHfuEy/LY1qMSJl77/n8/lbDtOJxK2MPJWnBUqNZQ0HWNt1u/xlLppf/l1CGYv/eQCt5aMtGRLxuHzWSQiQewc7TwBEiBLhi10N15h9kIw9yZInNQtGd5chITodFthFgkVKwXvLoK5suY6gxkwL0JDiTCWPK50n8+YvuRtQ+0vgIwxTKZjkivM7T1wrRCVpZJHXd+2QHNtyQhLG1zS626M17FAgrLL1BAhqr08hoJd8Xd70xCyfs67C4/o7O/VkiFLMF/Ith+i4uTDb7kMS4UqvrL/rCevW9MNLBequPuG7XjbtVtdVVdFUoYsii7OkXfs2wbd4PjuQe8atnOV9gkMvRD3qNGspht4+UIOV3fYchckbNuSt2tFuwxmgdoKc287hYCcpuVVK3J0qIvGkG3JODybxVVb0x3P2RhVmE08qTDHvRnduJFYObGt4XWFuVVmZCtEZqOX/uFcudbz5zKajHgeGXXOEszbhzrHDU4OxqRlqxasSl5PFWaPA+fXY8koVnVUajrKmo5f+99P4snjS54ey2aoMLtNyQC8FczCYhIPu/s8REXJK4sOAMxZFbFeK8zpmCTBvFpGMhLsWgC5aecIbtk9iv/94+OeREGK/5dufkwnl4wkpFaYxY1ypx3LKydT2LNlwPZde0Ghx4aydng1eOn4QgGVmoGrt3cXzHEJO0GAUzC3vp6O2+OxVVSYze9qL7sAMpqWbUuGj01/hsFx+Hy2ox0DcBSfSDBrYAwYWIcNQpCKelVhXr9gHoiEEGDeZZsuF9dXYfZdMA9EPa8wz2ZMEbytm2BOx6RZMrpVKFrhte+q1x2QIcdN3KNHF/D0yWU8f2bF02Nxe67ErUxXr7vQSy5HU8uYltVty33NMUS93262PcPrsGSUNO8zgF+Zz7Udb9vMPTdPYz5XwcsXcht+XRGf2OzD7cSO0QRWS5q0aZhuvh+MMbxj3zY8c2rZs4SfTpFlvSAa8DbKodlVAMDV2wZdvSbgfYV5IWdek9qt39FQEMOJsJIKcz0n273OkLFDt1rSEAqwtikuAjELQkYU5NmVIvKVWseGP6B+LSVLhnVyu21QaIVXk2hKPTbxOAkEmKdRTT1XmAe8HwiQ7dGSAYgKs9eCuYQAM7MyO7F10LRkyOqwBtpXKFrhdVWzV4+92GpbLWr43kGzscirhrO6JcPdsYj3ouyhx76XQS62JcPDoQgi9SPh8sInPjdPK8y5dVoyEt4PLzEMjhdnVnHd1JCr598wbU6BfOHsxlMi3FbLnFxipVTIavyzLVRdxOs79m0D58B3PGr+y3tkyfBqV+jwbBbRUKDrlD+gXgzwuprqpuAxkY4pqTCLpr9eLRlepwyJsdjdepQioQBGkxEpdkfR8NfNruP19+KiFcy5cq1nUdZM2tp63mgHfLGqIxRgiITW93Z6uc25XKwiGgq4rl6NWHeB3leYexTMAxHPUzJmV0uYTMcQCnb+XCYHY6jWDM9zTYH63XVvlgxv/Xhioe21wjyXreDhI/MN/8ZGsXdjfBriAgBV3YBucJcpGWJLz7uKaq832EFr3LC3HuYKUrFQzzf5MnLjTy0VkCvXsG+qeyURAKZH4hhJRjwRzG79mE5EtJwsW4bdpNvlHNk1lsS12wdx/wuzntzsF6o1pDwQzLFwEJWaeY5thEOzWVw5meq6fgPeb70LhGDu1EQ/noraPQGlqo53/fXj+PHPvc8L30xNf25nLEykY5iTsHt7+HwWwQDD5ROpjs+zY+X6vcKcK2sb8i8DdY9NfoNV5qLL7d12eNlIs5yvYiQZcZ1QMRQPI8C8FczZdXw2o8koMiXN0xHVs5lSVzsGUN+WljG8ZMGymYz3YMmIhQNgzPscZrc3UUPWyNMHD8zai/RGzxH7WHqc9Oe1PQUAzq2Yn7Obqn9CQuVKVIrdxi4CZpXZq5sWwJqq16MdA/A+BhMAXpwxt97dVpgZY7h+esgTwSyanYe7RGQ5ucQaXiKr8a9U1RENBVwNOnrvTVN46dwqvvrMxpsg82XvKszAxrbBOec4NLuKvS7sGM7XlNH0N5QI20NaWjGRjtnT/h49Oo8DZzN45uSyZ8cgbobEGtyTYI4EUfXg5sXJapfZBk4mB+U01B+ezeLS8WTXpKMENf2ZrEeUNWOPx97g9qKZ6bo5BHO3yXbNBAIMwwnv7BCGNebb7VhswehABJx7O71qNlN2J5it7Nc5CSf2Qq4CxtxbZABTEHhZGShqOiLBQMdF34moMD9wYBaD8TAu2zKAnIeWjAADoi53Y2Q08wihdb21td+JmMceOPFvxcLuBJEgGfVWMM/lyj03/AHex2ACwIGZDGLhAC6f6B4fJrh+egjHF/IbXrszdtOf+/MzGQ1hbCCK00tyLBnFqu5auP7G63bgtj1j+MMHDuHgudUNvW6h4v51O+HFrtDMSgnZcs1VQgbg8Kp6LZg7ZDALtqSiWLCm/YnUkkWPdku/uv8M3vTnjyBTrK7bkgF4u35lSlXXFibTruL9dfXkYgGXjndfL7y+fly0gnk92/7NeNXFWazq68pgFgx6OD1ruVDtSZwBppjzanhJvloD5+7HYgtEg4BXXmrD4Di/6q7CLIaXyEjKWMxXMJKIuNpWdJKIhOz4sY1SrNR62gERgrmk6bhz7wSG4mHPxNpctoyxgajrHRAZlaOfnckgGQniMjf5rhIsIW6HpjQfh1ffB8C0ZHTz9rfC6xhMwKwwX71tsKdz5PrpIXAOvHh2YyJxtVgFY72nLe0YlZeUka/UXO8+BAMMn7znBowlI/jgl55b90j7Sk1HVTc2XIQCnJNK1/99PeTSoyqQsRMEdJ7yJ5hIx1AzOGZXS/jRkTn757zgyPkszi6X8N8fOop8tYZoyH3hA6h/Fl6+L6slzbWFaTIdw2K+6umcB8PgmMmUMG3t9HQiGhK7tSSYe65iNpP2aPF323Hf6ThWPZqetVLUeur4BizB7FGFeb1xf/Vpf94cx2K+Ak3nHTOYBWMDEQQYpHiteh1aIjDzM73zDfeyAzIQDdnVz1++dhIDsZBnTX9nV4quFjqBiF7zcsF/4WwG+6aHXFV4ZQj2YqW3zwMwq0pevgdLhUrbYQyd8Fow13QDh2ZXsc+lHUOwb9p8/gtnN5beslLUMBgP99w8vmNEThbzbKaEfzl0wbVQBMz1+69/4zWYy5bxxw8eXtfr2hm/G7iOCexzZgONsofPZxFgwJWTbgWztU5IiJXrVmEWWczffG4GhaqOVDRkW/E2itjJ+cr+M3jy+FLPKSYJCZX3jHXOuGFy0Mqp9rApcjFfQbVmYHq4ezFM7NaSYC5rnlWYN5rF3KsgaSYdNycOetG4sZSv2NnKbhkd8C4Deb0jy8cGvJ32N2uJ322D3U+qUDCALSk5Wcy9Di0ReJk/7DYRQsAYw1A8jFQ0hDdeNoaBaMgzD/PMSglTLhY6gdcV3rKm48j5LK6fdifQZFgy1rNeJKMhO1Zq469fQ1kzerJuCdJxc830ypLx87k8ypqBfdPuvKqCwXgYu8eTG/YxZ0raut6HS0YTuJAte9ZMBJhe1Y9/+yAMDnz87Xt7+tkbLhnGL141gRdn1vd+2P7YDV5TAW/6Dg7PrmL3+IDrQlS978NrwdzdkiGm/X3pqTMYSoTxlqu2YNGjKLVsuYbdY0lMpmN4cWa1Z8uM1zf8usGRK9d6EMzmWu+lLePsinmjOjXsrvDiZVLIRSmYOefryvptxksPs9uYrFYMxsOo6gbK2sYa3jTdQLZc6/kC4GWFOVtaX4VZpHV4lZQxa0/5cyfOJiQ1Jyzkum/ptSLuUZYpYFoyerUA7JkYwLtv2I5oKGgKZg8qzDXdwPnVMqZdLnSA9wv+wXOrqBnctWCOhgIIeHwhLqxjvUhGgih6VOUXuzi93lgDZu5sLBzwTDALgee24c+JaPzbSKEhU3Tvx3SyYzQBzoGZFe+qzN956Twefnke/+mXLu9pF0YwlAivu/hTT2DYeIXZTibYoCWjlyp7c99Hpli1I1bXS1nTka/Uuu4QigrzYr6Cu/ZOYjIdw0K+4kkBbLWkYXIwhj94h3kD1WuFOe7x+il2loZcNsmKxmIvr60zVtO228JLLBzc0HfRyUUpmEuajprBN1xhTtujG73wMG+s6Q/YeNVGZIqOJHt7X0YSEWRKmiedtKLC3Gvkn0jr8MqSMetyyp9gq4ThJZxzLObXb8nwctJfr5ahf/i3r8cfvfNqAPBMMJ9fLUM3OKZH3FeY4x5XmO2Gv0vcJzKY07K8nPTX+3phWjK8OYblHrPamzF7LrwR7wdmVpGOhbBztHeBeMP0EBbzVfsCuh4yRc31xd+JncXskY85U6zijx44hGu3D+K33rBzXf/GRvL8RZSdl01/6/2+LheqOL9a7kkwi9cVr/mBLzyH//D1F9b1+gIRCdqt4OFc39927STGBqKo1gxPGqWzJXOmwduumcSvXLcV17mMXhR4HbcnmmRdV5iFYPbw2irO9+0uBbOX19J1C2bG2DRj7BHG2BHG2CHG2Eesx0cYYz9gjL1i/Trs+JmPMcaOMcaOMsbuWu9rezEWG6iPmNzotD8vYuWAjVe6V8SUv3V4mM2Eio2L1fV+NoEAw0gy6pkl41ymhGQkaG8hd2Ny0HvBnK+YW9/rsWTE///23jxOsqq++3+f2qt6X6bXGWbfmGEYGLZhEyUoqAQEjagRDSqJMcYk5vGR/JKfTzSJJj5xJ2hc0RiXCCoQgQiyzSIwMwwwzNrdM71N9/Te1V37cp4/bt3qmqaXuvee6unB8369eFFdXdX3TNW9537P93y+n69XXYBkZ0Hncom8xrc8YIzF6YKqO6f5tJZhzk34irLtL3SN0VodpKGieIeIkM+t1HLQliTD584vWsZjKUeZzXzAbGPnA9S6+rzUM8aWpdVFF4EWslVBA5OxWNJSW2wT1V7M9+3rZWgyyWdvOc9ygbBJZcBLMp21JROxY1k2G1MaZnvX7FRTCmvBYTBX99E3HuO5EyP5pIldiu3Sanb7qwp6uWJNfT6AVtHhLhw39MJCCO5+94V87tYtlt6vuhhy3GKGuTLoIeB1KZVk9IxGqS/3Fb1rGvSq2611kmFOAx+XUm4ELgM+IoQ4F/gk8LiUci3weO5ncr+7DdgEXA/8mxDCVpQ5pZN1dnG7XYJyv8fx5B+zqBGdjqoMs93MUW25uuYldjXMkOv2p1CS0VwdLPpG3FQVYCKRVlbcBob+Daw1LTFRW/RnXZJRiHkTddo4Y2or7cxJMvZ3j3FBkdllk98/v4WHD/Sz54Qab1VbLhm5or9XTo5zw5ee5vZvP2f7+OZ1bkeSAeoC5ngqw5H+CctZM5MNzRX4PS5nAXO0+Ir/QurKfAS9bnodBmUmXcMRKvweNrfa+yzAWUGmnaYYs5HX/ducL17oMgo5NzZbzDDnkgyP5qzdnJ6j5m5nMQmPS1fWcdsly/C6XfnXq9AxG01C7H8nqm3Vjuba0Reb9BBC0FQZoF9h0V/3SIxWC/cQle3BbQfMUso+KeW+3OMJ4BDQCtwE3Jt72b3AzbnHNwE/llImpJTHgTbgEjvHNnVaVq3LZkLF5B+xoREtJO9t6tCD2G7AbN44VQTMYQfZf6P4UE2GuW+8OA9mk+Yq9VtHU1t6Z1aS4dTFxbyJOi386x6N4hLQXIRzicmULZDzxcNAOE7vWKxo/bLJX163jtbqIHfd/zLJtPPGOnYyzOV+D6mM5O337ObkeNxRgapTSYaqzqQH+8Kks9KWfhnA63axubWKF20GzOlMlol42pYkQwhBfYW6BX7vWKzoLebZqHSwU5kPmBXYyjmRAUgpuW9fDxevqLF8fpp1H4+8oiZgzmeYi0h4fP2927jrho251/ty73d2L0ukM8RTWVsaexPVjZ92tQ9RX+4vypLTRHW3v57RqMXCcc+iyDDnEUKsAC4AngUapZR9YATVQEPuZa1AYTuintxzM/29O4UQe4QQewYHX91i0tz2d2orB7lCCQcXViYrSaSziyvDbKPor/D9TgjHU/g8rnk78MxEXblfaYa51UJgVgqtlTnh2sswq5NkRBxq7M2bqNPse/dIlOaqoCUfUZVNXF7IBVYXnDN/w5JCyvwePnPzJo4NTPLvT7c7HoedBYz5/a1rquB925cTS2VsOzQMR5J43cJ2NrEq6HUsHwM43Gdkqza3WsskFrKqvsz21nt+e9lmQFJf7nccFJn0jMaKrreYjan7iPXr1E5TjNlwIsnY3THMieEo7770HFvH7RmN8dzxEcr9HuIpe/IUk3xbbIuBez7D7PBeZtYJOEkMqtyhk1Kyq32Yy1fXWZJQNVUF6Aur2YnJZiW9Y9acloz7h5rdWscBsxCiHLgP+AspZXiul87w3IyiSCnlv0spL5JSXrRkyZJX/d7Jtv90qoLefLGcHcyVy2IImM2qYKtbjOaEoCK768Qfu65MTYY5nsowNJksylLOxOz2p7Kat1gN3EwYGea0kkprI0CzfyM0b6KOA2aLlnImqmyB9neP4XULy8VEAG/Y0MhbzmvmK79pc9ThTUpJJJm23Ojozec187dv2chP7ryMtY0VgH0v5JFIgtoyny3dMDgrLivE3IGx03HQpLbMx4jN2guzgMlqzYdJXZlfWYOKkyoyzKZNqo3vxkxCOWnAZeKkWcSPnuumKujlhs3Nlt8b8rk5PhQhK+HG81sAZ37hQ5NJKgIey8mfmpAPt0s41jCHbRbQF5J3LFEwf7YPRhiYSHD56jpL72uqDHAqrMY1ZGDC6K9gVdbn1NjBxFHALITwYgTLP5RS3p97+pQQojn3+2ZgIPd8D7Cs4O1LgZN2jmvXumwmqkPe/MRpB3Pl4iQgcbKVVshINEmF34OvyLbDJuYNQ0W3PycdGOvKfEzE0467Apnb1VYkGY35DLO64q7BiQQui22xTYI+N1kJCYcSgFQmSzKTdZRhrlAkyeix2LTERJUG7YWuUc5trrS1+wFw15s3kExnefzQwPwvnoVEOktWYjnD3FAZ4INXrSLgdedtI+22kTe6gVpfxJlUBb1MxNOOi0CHIwkqAx5LOw7TqSnzEU9lbZ0fZqLE7pb3kgqfkgzzRDxFOJ62NF/NhJP7iCErdFtq1z4bdneFhicTPHqgn1subLV1jZr34GW1QbbngjonC7vByQRLbCQ73C5BbZnP8WJq3KIjxUz43C7cLqEkw7q7fQiAy1fXW3pfY2WAZDpre74qxPRgLqZpicn6pgoGJhJKCreduGQI4NvAISnlFwp+9QDwvtzj9wG/LHj+NiGEXwixElgL2KpcUZth9jnKMEdzzQRCNm/CYFxgFQqKD0ciSVuV7163i8qAhxEFzUvCsZTthUydouLDvtwWrRWtrBGIeJU2LxmaTFBb5rd1E1LVsMO8aTnRMJsZZiftseOpDKfCCUsOGSZGMY+zCT+WzLCva4yLVtTa/hut1UF8bhcDDjJH5vfhZEfK1NzabYM8HEnaLviDqcDMqbvQcGT+phDzYcrP7GSZzc/PTtEfGBnmkUiCrMOFQ69FC8zZcLJTGUmmlcgxTEI2fOTv39dLMpPlXZdYl2PA1D34+k1NSnZthybsNZ0CU67jVJKRyzA7KPoTQhBSJGnb1T5Ma3XQki0oqK0P6rHYtATgslXG4unZDudF204yzFcA7wXeIITYn/vvzcDngOuEEMeA63I/I6V8BfgpcBB4BPiIlNLWtzgRT+MSatp4Voe8jMeStrcLzBOxzKHhu4ptzpFI0lbXKsjphxW5ZNjdQlLVHtvuDWhZbYgDveOOjl2I3aYl4NyaySSWD9Ccu2Q48RU1vxOrky0Ywb7TCX93xxDJdJbXr2+Y/8WzIIRgSYWfAQeyHTPwd7L1bQYDdjM2o5Gk7YK/wuM79WIenkw4GgdMLR7sNKkwEyV2Ncx15T6yEkc7lAC9Fn1lZyPfiMumJKNCYcBsdVdISsmPnuviouU1rMtJjuwcE+D6zc1qAubJRL6Azyr15T7H7bHNAnonGWZQs0OXzUp2d1jXL4PRFAzUdPvrGbHWtAQMt5XKgIffdgw7Pr4Tl4wdUkohpdwipdya++9XUsphKeW1Usq1uf+PFLznH6WUq6WU66WUD9s9ttkW264Gr5DqoJdURtq+IZstpe1mKUwqg86KD8HwUbZ7A1LV7c9JB0ZVWuqTY8aFaeqSi+XWC5fyYs84eztHHR3fZHAyaavgD6a2F526Q0w1JHAgyQg4l2SYHsxWMgMmIQUT/hOHBwn53Fy80lrB33QaK/2OMswxBRl/U0I1HrOfYVYRMKtY4NfZXFCaOClYzmuYbc7dqoq7zKLFpQ4zzD6Pi6DXbS/DnFCcYba4K/RizzgdQxFus5ldBrh4RS1Xra3ngmXVigJm+zsgS8r9jm3lzLE70TCDGselg31hxqIpLl9jTb8Marv99YzGqC/3W5LsuF2CS1bW8ezxM5thPmN9/rW6AAAgAElEQVSoaIttkt/etHlhWW3TOBtVQeeSjNFIyvbkrypgDsedSzKcOmWcHIuxpMKP32MtKHn7tqVUBjx8e0eHo+ObDE3Y08DB1Pai04kuH6A5kAypkGSY14mdDLOd7d1CpJQ8cWSAy1fXWz4nptNQEXCUKYko2JGqdpBhTqYNK7XFEjA70VLD1OLBTtOlsWgSIezXwpjBvtOAuWcshq/Av9cJlUGPrcz/ZCKtxIPZJGAxSDsxZBTSWvVIL+QtW5r5wQcuxeUS+WvE7jmaTGcZj6XsB8wVfsftsackGU4zzM4dl3a3G9nZ7aus6ZfB+CyEUCPJ6B6N2rqHXLaqluNDEcdjOCsD5rCDwrLpVAVz2Rqb25u9ozHcLpFfRdkfh/N2s8ORhO2MjSqHCsMlw5kkw07gLqXkUF+Yu59o48mjA7RYzC6DERi+57LlPHKgP58RtYuU0igasZlhVmUHFFUgyfC6Xfg9LkcuGd2jUbxuQaOFDnsmQZ/HUYa5fTBCz2iMa9a/2nHHKk4zzPkiYa/97yPkc+Nzu2zVXpiBpZOA2dRUOgmYs1nJSCRpW7Jkktcw25RkVAW9uGwWui3JZ5gdSshGYzRXB2yPoxC7fQUmExnFGWa3JWeGgQkjkGmwOV9Op9JhwGwuguyOR0V77HDMvkVrIZUBj+16B5Nd7UOsWlJmedcWyDdzUSLJGI3Z2qXM65iPO5NlnKUBs/0s5nTMbMmYze3NntEozVUB2+1MC8fh5AYUSxom504yzKMR+1puMBoBRJMZ24uZCr8Hn9tl6wb0zWc6uOHLz/D5R4+wpMLPH79uta0xvG/7ClxC8N2dJ2y93yQcT5NM22uLDUZnN3Be9GdKMkIONfYVAY+jyb9nxPCZtRMUBL0uRwuHJ48YrhYqAuaGygDjsZRtm6aYgqI/IQRVIa+tm6BZH+Ck6K9KgavPWCxFVjoL3MEIjFzCXrZ9LGZ/Rw7U7Yj1jjn3YDapDNjzyJ5MpCh3OEcUYlUGMBBOEPS6lWW5zUJ6uwX9piWc3YRHvnmJg8V12EE9UCGt1UFHbcJTmSzPHR+xbCdXiNHtz1nAnMlKTlr0YDbZ2FxJRcDDbx0W/p2VAbMTr9/pmJIMuxlmFYbz4Lx71kg+c2TvAqst85HOSkdZbjMDaXcxI4Rhx2PnBvRSzzgtVQGe+5treeijV/Hm86z7eIKhe77x/BZ+8nyXo4DASdMSmAqonLajVhGggZF9dyLJ6LZpKQdmExf7x37yyCBrG8ptZSamY2ac7HqsqpBkANSE7PnHO+3yB2okGeY17jRgdrsE1SGfzaK/pKOCquqgF7dLOC5SPqkyYLaZeIkkMkq6/JlYLTQ7NZGgsdKvpC7JxEld0IDTgLnc2TwBRlFtlQOHDJPWmiD94TjpjD2L0r2do0SSGa5cYz/h0FgZcCyHOBWOk85KWwGz2yW4dGUtzzos/DtLA2Y1Ky9wrmE2us44vxFXBb3EUhnbrXfNG4aTDDNMFTHaQYU/tt322L1jMVYtKafBoTQG4ANXriSSzPDLF3pt/w0nbbFBXUvTvCTDgQQADKcMJ0V/drfSYKrlrR0iiTTPHR/h9Rvsu2MUYp5fdrcXzUDRSWYToDros6XbNRfWTortgl43XrdwFjDnrnEVut2akNemrVzKVltsE5cCv91kOsvARMKxQ4aJ3S6Mk4qL/qz6MA+E4zTYkGvNhZNdW6cZZvN9TuQ647GUY/0yGBnmrLRfdPfEkQG8bsGVa63rl02aqvyOM8ymTNKONSkYsoyOoYgjachZGjArLPrLaZjtZGuS6Sz94biSya4q5Cxr4zRzVOugeMYk35nIwUVu195OVaYfYHNrFeV+D+2D9ju6mVtgdjRfoNKHWY0ko9xvX5IRSaQZiSRtFWuAoYdMZSQpGxmSXe3DJDNZrlnnXI4BhoYZsK1j7h6JEfS6ldip2ZkrRvKZXfuBqhDC8Y6YmZV1+jmYf8NWhjmWtG0pZ+K0PXbfeAwprTVZmovKgPWiv2Q6SzKdVWorZ7VQd3AiwZJKNfplExUBsxMfZnBWEBqOpxxbysHUuWXaF1rlycODXLKy1pFcpqkywFjUvpQNnBssXLrSkJQ4sZc76wJmKSWTCXVFfwGvC5/HZUvDbE52Th0ywPk2p9OAua7M1OM5mfzjub/lQBdoQ5IRT2UYVJilASPQdbKF1DkcRQh7rhAwVaSnrujPecBsV5LRbcNsvpCggwLIp48OUuZzO2pYUoiZBbObpejJVXk73XquDnntZZgjhjOE0xtxlUMbTLNJklNbOTAsPe0W/Tm1A60vd5ZhNoMYp5ZyJmaG2UozFfO6Vpphtlioeyoct1UQPBdOAuaBiTi1ZT7bXShrQj5cwlnAPB5TpGHO3Rd7beiYe8diHDk1wTXrnO3QNVUZY3CS3TUDZruLy3NbKqnwexzZy511AXM0mSGTlcoyzEIYFjR2NMy9iizlwHl7bMcZZgcOFSa72ofwe1xsbq2y/TeMgNnaGMxAXVWGGZwXKXSPRGmuDNi2MQt4XQjh3Ic5mswgBAQc2qmVBzy2XTKO5zL1VtqZFhLy2S+AbBuYZH1TheV28bNRE/LidQvbGWYn0pTTx2GvQ+lwrrmR0xbIThstmVlZp9IUMJwyrC4e0hnDXs+JJANMdyH7QVHPmJqmJSaVQS9SwqSFeWOyBAFzyOcmmckWpZudTKSJJDM0KM4w292FgVzG24FcyGiP7XeoYU456vJnYt4X7RT+mQXTr9/gbIcu78XsKAkVoakyYNs1xO0SbGiuoGNw0vYYzrqAOaywLbaJ3Qsrv0VQrUbDDPYzzKPRJC5h3+RcRdOQHceGuGRlrSMbnIZKP7FUxtLCYapd5iLKMI/YL3IDYyFnVQc4E9FEmqDX7diyyomG+ZFX+qkKetnUYm8hlZen2NjO6xqJco6D72E6QghHXsw9o1E1O1IhL4l01vIiYsRh05L88R1nmJNUh7y2M3iF1JT5GI2kLDn8mPOsEknGhP058+RYDCHsS7emY87/VhJA+WJtxRpmKK5Tqdk5U5WlnIkjSYYDS1ATJ7sPUkrC8bQSSUbA66a+3Gcrw/zE4UGW1gRZvaTc0RiaqozP0kkSqn1wktUNZQ7HEcwn2Oxw1gXME3HnhWXTqQraqzjvGY3iUjTZOWlrClNtse0GRgGvm4qAx3Yg0D8e59jAJFeusV8YANCc27rpGyt+HKpayxbSVBlgcDJBxsLWZiGdw1GW1zkL1EI+t+PW2NFUxrEcA3IBs40MczSZ5tcHT/Hm85ptZ3mnJBnWtZl94zGlATMYizo7maPxWIpwPK0kYDYzs1alZE67/Jk4zTCrCtzBcAZKZrJ5B5JiMIu8nUoy6sqNBb5dF5fe0RhLyq03WZoNOzuVpcgwm9dsvIjvxNytaVRQsF1IZdBYVNrRzQ5OJBwH8EbzEnuLqUhuJ12VuUFLdTCf4CuWRDrDrvYhXr++wbGErNFhsbSUkvbBiOPAvaUqQN943LZ97lkYMKvpflNIVdBnyyWjZyxGU2VAyXavCg2z0xvQspqQ5YvKZGfbEICjSlqY0idZ2T7qHVPTPKaQxqoAmay0lSGIJtMMTSZYXudsNRxy2LADjAyzk6YlJuV+D4l01nLh3WOHBogmM9y0tcX2se0WQJ4ci5GVOMr0z0RDhT0T/ikJl/Px5Lv9RazNF6ORpKMaAxOnnUmHJhPUO+zyZ2IuHqwU/pke1k4lGWbjFbu1H71jMaULfTtNZcyAWaWtnJXGS2bAXIoMM1i/p0opGZhwnmF20h7bTJypyDCDPS/m54+PEk1mHMsxwFAElPnc9I/b+zwGJhJMJtIKMt0BkumsLd92OAsD5nAJMszVIS/jNgpoekbVTXb5i9vmF3lsYNLxWJbWBG13uNvRNkRdmY+NTZWOxtBSbQS9J8eLv7h7Ro2Fi9PmMYU054JvO9s3Xab9jcNALeRzO/I+BuOGpSLDbLc99gP7e2mqDHCJg6I7uxZ75vegOsPcWBmwpWFWKR2qtplhVirJiKdtZ2rUZpitO/yYO4rOi/5yfrs2t95VNi2BgqYyFpwyzGtaZWtsSwGzKclQnGG2GzCbTaccSzIctMc2x6wqMdhaHaR3LGZpLE8cGcDncdlqhz0TjVUB+sP2EnLtA4bu2GnA3JxTA9ht5HLWBcymJENV4xIwsjV2Msy9igp4AHweF0Gv21bRX/94nLaBSa5Y7ezEXlZrZJitXuBSSna0DXH5mnrHWtmGigBul7AsyVCZpYEpmY0dHXPXsBEYLXcYqDnxHza/w1gqk98edYKZfZqwoGMeiyZ56uggN57f7Oi8sOuS0ZkLmJ1m+qfTUOG3ZZHUozLDbPrHW1hgZ7OS0ai6gDmTlZZkEIUMR5L5QmOn1JRZL1jOB8wKNMxgL8OczUr6xtTYkprYkfaZtQkqJRlmHUssNf98MTCRwO9xKb2ng/2A2akHs0l9uc92e2zVGeaW6iDxVNbSNbKzbYhLV9YquX9ArpDepn64PVeop0LDDPaLD8/CgLk0RX/RZIZEuvjJP50xPJhVFprZLVLYkZNDXOFQP7y0JkgslSmq8C+dyeaDsqOnJhmcSHCVw+MDeWmFlRVgz2hUmS2TyVTAbH0l2pUP1BRomG0EJN94qp1Nn3qUG7+6g5d7xylTIMkwC4Ks6JgfPtBPKiO5aWuro2PnXTKKuPkW0j0SxedxKd/qNTNhVnXM3aNRQj43NQ5lAFCgYbYQMKtqRw0FxWU25qtMLnCvV5VhDlnPMJuvderSYdri2ZFuDU0mSGayajPMIfsaZrUZZtPZZn4J10A4ToPiLn9gf9dWVcCcb15iYzcqnE8MKsowW7SWy2QlHYMRzm1xtmNcSFNlgFNhezsx7YMRQj63Y9llS+6+3mdTS33WBcwjuZW8qhMJoCo3aVqZ/PvG42SyUulkV2lTF7izbYj6ch8bmiocHd/soDOfjjmVyXLLPbu48Ws76BqO8syxQQCucKhfNmmuChQtyUiVYOECxk3Y6xb027jAO4ejVAY8jrd7g15PPmDe2TbEnhPF+Uc+eWSQcr+H6pCXgMfNhedUOxoH2JNk/HJ/L6vqy9jkcNK1sr1bSNdwlGU1Qce7HtMxA/CBCWuTbs9ojGU1ISWBgZlhthIkmt7HqjLMYE9CNhpNIhUF7jAV9I5Y0HOPx1II4VzaV5fXMNuYJ3ILa5X3kHKfByHsaZjLFGUSofCanX++OBVOKPdghqlrxOo91byunS60Tc92O9nMKUmGmkWMVWu53tEYyUyW1fXOJBCFNFYZ7kJWPMJN2gcnWb2k3PHcWVfux+MS9NmUZKjdA1kAnjsxwtqGcmXbBFCo+0oV3Z5T5fZq4TjsFCjsaBvi8tXO5RBLc002ukeibF02e5B1764TvNQzTsjn5i1ffYYlFX5W1Zcpm/hbqoPs7x4r6rX943GyUq1DBhhtbxsrA7YzzOc4zC5DrltWMs1P93Tzyfte4tyWSh766FVzvkdKyeH+MNdvbuKzt2xxPAaTvCSjyIB5YCLOs8dH+PM3rHU8yQVtFv2ptpQzMeeIAYuLKcODWc15GvC6CXhdluYLUzZQp6DYrsqGG4OJuS1cp6AtNhhBr9slLBb9GV3UnM6Zfo/hLmSn29/zuQXw+XPMtVZxuQQVfo8lSUYkZz2psgYkaMEKcmAiznqHyZ6ZcCzJKHcWxK9rNP5NB/vCXG5x91W1JMOcd4ot6m8fMiQQK5eok7M1VwVIZyXDkaTl7H3HYISLV9Q4HoM7f1//HcgwR5Npnu0Y4XWK2tyamDo2K9ub5taGekmGtW1nUw7h1J0CpoL/uS6qgYk4X3rsGNesX8Kjf3E1K+rK6BiMOJaDFNJcbZzQxaxEzbG2KvDCno7d5iVdI1GW1zqfaEI+N92jMT7xs5fwuF20DUzO+5kMTiQYjaZY36j2BpSXZBSpYX7m6BBSwnXnNjo+dshrPWCWUtJdooDZbI9t1SlDlQezSXXQWktoMxutylYO7EkyTPmCCrcOMILEmpCXEStFf7GUY/2yyZJyvy1Jxu72YdY1lttuvzwbVSFvfku/GCYTaaX6ZbBWqDsQThSdqLKCKdu0Wp80OJnA53E5zu4uqfDTWOnnlZNhy+81rytV0tOqoJeQz120JMNsNrWqXl3AbNdaLppM0zsWc1zwZ9Kcs5azw1kVMD/bMUIyk+V16xUHzDYKaMyK9+ZqdRd6pY1mAKYcwqn/MRgatpqQN9/KeCY+9/Bhkuksn7pxE8tqQ/zXn2znUzeey5++frXj45u0VgdJZrIMFdFBqxQLFxNjC8najTCTlfSMqsowe8hkJW/a1Mjf3LCBeCo774R3qH8CgA3N6rRnYF2S8cyxQerKfJyrYBwetwuf22XJk3osmmIikVZuKQeGBMDjstbtbzyWYiKeVrojVR2yVqw8nM/sOg9Uza5sdmwoVWeYwfhOrCweToXjyo5fV269O2kynWXPiVG2r6pTMoZCKgPWdionExnK/ep2bKF4K8hYMsNEIq28yx8Y2cSKgLVsO0x1+VMhndrUUsUrJ8ctvy8cT1Hh9zjuyGkihDCcMoq8XjuGJqkKepXJpsB+t7+OXPC+ukFNwNxUFaDPxs4xnGUB81NHBwl4XVzswKJqJqqDpkWTlYA5RmOlOsN5sNc9a2fbEKuWlNnurz4d0yljJvacGOH+fb186OqVrMytPANeN390xcp8wxEVWGleYk4AKhcu+XFUGheWFdeQvvEYqYxUktm85cJWPn7dOu5+94Wcm+uS1zZPW8/DfUY2w6mefTqmJKOYor9sVvLMsSGuWutcJmQS9LktZZhLZSkHRkbT8GIuPmAuRTdKww6z+PnCrP9w6j0MhiyltTrIvs5Ry+81A2aVN+OaMl/RDgBSSo70T+S3zJ1SV2Y9w/xy7xixVIbtq9UHzFbvI5PxlFIPZihekjGlF1Y/f4M9meOgAg9mk80tlbQNTBY1dz300sm8qUE4llbaawIM2WKxtUEdgxFW1pcpLcTMF9JbzDDnHTIUZ5jt2P2ddQHz9lV1jlovz0RVPsNcfJZApaWcSWXAy0QiXXR3uWQ6y7PHR5Rkl02W1gTpmcWL+bu7TlBf7uMjr1+j7HgzYXolFrMK7BmN0lChduFi0lQVIJ7KWvI0VWUpB7C5tYqPXrsWj9vFmtzquu3UPAFz/wTNVQHHBYfTMZ02irGVO9gXZjiS5Kq16naCjDbhxX8PpbKUM1lSGbBU9FeKmoeakM9S0d9wJEmF36PsWtm2vIY9nSOWbzym3leFW4hJbchX9A5hfzjOeCzFuc1qAub6Cl8+e981HOWLvz467xy+u30YgEtWnvkM88BEIp80UoXP7cLtEvNes+aiU7WTjcmZDpg3tVaRlXC4f25ZRtvAJH/2ny/w3Z0nAGNHSmWvCcBShvn4UIRVCvXLYFgwul3CsiSjfTCCSzh3nTJprgqSSGdtdXc+awLmzuEIx4ciXLO+QfnfrvB7cFmsLO4ZiyqtbobTiw+L4YUuoxOPSv3wspoQPWOxV2llpZTsOTHCFWvqlXSOmwvzc+0tJsM8pq6QajpNeQua4rdvzEBNhSSjkNoyH3VlPtoG5g6YD/WFlWeXwdjeLLaRyjPHDJvDqxS5poB1i73ufPOY0pwbjRV+S0V/UwGz2gyzlV2xocmEMu9jMALmU+EEJy1usY5EEtSEvEqLzGrKfEVrmA+ZuzCKZEt1ZX5Go0liyQx/+p97+fLjx3i5d+5t+N0dw2xoqlCaZTcxmsoUd16MR1Mc7AuzbbnzgqpChBC5RW5xGWbVbbFNznjAnHMIOjCPjvlA7nx56qghsQzHU8oK/kxaqoOMRlPzLmKiyTR943FlGV0Tt0uwpNxvWT/cPjjJstqQskRpvnmJDVnGWRMwmyeS6oI/MLZYq4LeolccY9EkJ8fiyrd7rVT1ZrKSb+04jscllG7rLa0JkkxnX9W5qmc0xqlwQvnEOhPVIS8Br6so6xejtaz6bXewp7nqGonidQulEhWT1Q3lc0oykuks7YOTyvXLJuV+T1GSjKePDrKhqUJp5y7LkozhKPXl/pIt7hoq/RYzzFHKfG4lcgiT6pCPsWiyqAyvlJIXusYcd+IsxJwL9lqUZQxPquvyZ1IT8jIaKe6zONRn6PxVOTPUV/iREv7ulwc40GsERnN9Jol0xtAvl0COAdbsSXd3DCOlcw//mQj63PM29xkocYa5OmQtYE5lsgxHksrG01odpDrk5eA8OmYzYH6ha5TxaIpwLKVckmEu1uezljM1wysVFvyZmNZyVmgfmFQavDtpSnb2BMxHBlleF2JFCb5EsLYS/c/nushkJW89v1n5GGB+qyYpJZ9+8BV+ffAUn7xhg1JP6qW1plPG6bKMfV3GDWAhAmYhBC3V8+utslnJScWtZQuxU9XbNRxlaU1IWbFGIWsbyjl2amLWoKBjaJJURpYkwwyGjnk+W7loMs2ezhGuVrywtZphNizlSnNeADRWBBiNpopudtQ9EmNZrRoPZpPqoJdURhb1uRwfitA7FlPipmOyoamCkM/N3iL9wU2GI0mlBX9g7MCks7Io28PD/RMsrQkqmzfNBiw/29vDbRcvY2lNkL2ds38m+7vGSKSzJSn4A0OSEU9lizo3d7YNEfK557QRtUsx1+ypiTg+t0vpQrIQqxlms3hTVYZZCMGmlsr8Qmo2XjkZpsznJithZ/sQ4Zj6DLN5n5yvULdjKOeQoViSAdBU6bcUqGaykuNDEVYrtbfL1Ui9VgPmRDrDrvbhkmSXTapCvqK2N1OZLN/f1ckVa+rYoDBbY4yhuAzzPU+1c+/uTj501Uo+eNUqpWNYVmN6MZ9+Ue05MUq536P83zwbLVVBTs4jyRiYSJDKSOUezCZmwGzlwuociZSk0AxgTUM54Xj6Vdl/k8O5zFmpvqNyv2deScazHSOkMlKpHAMg6PNYcskolQeziVnVX2y3P9WWcjDVsKMYHbPZDVTl9+Jxu9i6rJq9XVYzzAlllnIm+c+iiMI/Q7ak7hqpzwVXK+pC/N1bz+Wi5TXs7RyddWG7u2MYIeDSEuiXoaDbXxG1Fzvbh7hkZS0+j/pQoBhJxmDYkD+o7vJnUhk0CmOL1dlPeTCrW9BtbqniSP8EqczMXQ+llBw4Oc6N57dQEfDw1JFBwvG00kQYkDcGmM9p6fhgBCFgRQnqP6xatZ4ci5FIZ5VmmJdUGFpqO04ZZ0XA/OSRQWKpTEkD5uqgl/Eibjy/ermP/nCcD1y5UvkYimk3u6ttiH955Ag3bW3hrhs2Kh+D6Wc8PcO8p3OUC86pLknmdCaaq+Zvj907pt55oBCfx0V9ua/oDHMqk6VruHSB2toGI3M8m475cP8EXrcoSWYAcpKMeYr+nj42iN+j3skm5DWauBRDMp2lbzxW0oDZLCY8WITHqpSyJEXCVRbsMJ85NsTSmqDyz2Tb8hoO9U1Y6gA5EkkqsbYrxJR4zOeUEU9l6BicZKOigj8wpB1Xra3nq++6kDK/J6/tni2Tt7t9mE0tlfnvTzXmfWS+ncq+8RgdgxGlReOFFCOjGphIlMRSzqQq6CWZyRJPzd+iG2Bw0pjrVWWYwSj8S2ayHJulYLt7JMZEPM2WpdVctbaeJ48OMJlIK88wN1YG8HtcHM1Zj85Gx9AkLVVB5eYKYEgyJuLpogu4jw0YY1VlKQe55iUV1rXUcJYEzF9+7BjL60LKt3kLKaaARkrJd3YcZ1V9GdesU198WKhhzmYlf/D13fzzI4dPe83Xn+6gocLPP9+6RXnLXzAmufpy/2kZ5ol4iiP9YS48p/RyDJOW6iCDkwmS6dlX5T96rhtQa64+naYiTM7vebKd677wFBv/7hHC8XTJAta8U8asAXOYNQ0VeBUWUxVSNo+GOZXJ8vihAS4tgZNNyOcuqmsYGBmUrKQkHswmF55TQ5nPzZO52oq5CMfSTCTSJcswzxcwpzNZfts+zFVr65Vn8i5cXkMmK3mxZ/bOnFJKPvfwYX70XBepTJbRaIpaBd0GC6kpKy7b3jYwSVbCRoU6/8qAlx984FLOW2pYP16Yk63tmyHzPh5L8UL3WMnkGFB8LczONsOp4/LVpQmYi7lmT4XjJdMvQ3GfxXd2HOft9+wilsxMaaoV1l9MFf7NrGM2n9/cWsnVa5fknUNUtcU2cbsEV61dwv8cPDVnxr1jUL1DhkmzRf3wQy/1UeZzK/HzL6Spyl63v0UfMIdjRhXvn79hbckCATAyzPPdePZ1jfJizzh/dMWKkgSrhRf3U8cGee7ECN98uoPOYUNTdKR/gqePDvK+y1eUZPVnsrQmSM/YVIZ5f/cYWQkXKWhNWSwt1QGknF0//OXHj/GzvT38+bVrS2YdBrktpDkurLaBSf75kcOUBzzcefUqvvTOrdx28TklGUtjpZ9yv2f2gLlvgo0l0i+D4SYzV8D83Z3H6RqJ8p5L1f/7ywMeRiaTp2Um4qkMd35/D48c6D/ttaX0YDbxeVxcubaeJw8PzLvda7ZAXqMwSwIFDZdicweJL/aMMZFIc+Ua9QkHcxG998Tssow9naN8/al27rr/Zd72bzsBdV3+TGpDZoZ57jn8UIl8ygvZ0FRJmc/Nnhk+k58830UyneXmC1pLdnwz0JrPbWlX2xB1Zb6SfRZBr6cIl4xEyRwyYP6AWUrJd3YeZ0/nKJ99+FBeklGvcAdkZV0ZZT73rLtRB3rH8bgE6xorTksKqpZkANywuYm+8Tgv9cwcvEtpaobVzlUm5nddjCxjeDLBQy/2ceu2pco7UTZXB1+bGeZT4QSr6su4aWtLSY9TFfIRjqdm9c/MZiVf/U0bVUEvt25bWpIxBLxGR7NwLM13dhynvtyPxy34wq+PAsZKOOB18e5LShOQmSyrDZ2WYd5zYhSXoCSFIbNh6q1mkmX85PkuvvTYMd6+bSl/+XtrS7cMszoAABYVSURBVDqOpnmqer+9owO/x8W3br+IT1y/gZsvaM2b9qtGCMGahvIZA+bRSJL+cFxZ5f9MlAdmD5i7R6J88dfH+L2NjbxRQTvs6dy0tYVIMsPdT7Tln7v7iTb+5+Ap7rr/pdM81J/tMDJnpSoQNnn9+gZOjsc5Oo839v0v9FBX5lPuRGC2dh6dZ6H/zLEhhIDLS9QkY11j+Zw65v/4bScVAQ//+LbNeZmC6nbQNWW5z2IeScahvgkCXldJF9lul+CCc2pe5ZSRzmS5d1cnl62qZVOuEVEpmCoen31xK6VkR9sQl69R11xoOiHf7DKqbFbyy/29jMdSJc0wm/7SswXM+7rG6BmNsa6xnO/v7uS/X+6jKuhV6uvvcgk2NlfmnTCm88rJMGsbKwh43bRUB1nXaASrqiUZANdubMDjEjxckGQ43B/mrvtfYjyaYnAiwWQiXRKHDJhynipG5vjj57tJZrLcvn258nHYaUoGZ0HAHE9n+NjvrVXq2TkT1UEvUpLvtDOdLz52lCePDPLn164tmVWVEILKoJfnT4zwzLEh7rhyBXdcsZJf7j/J00cH+fn+Xt6+bWl++7FULK0JcnIsll887O0cZX1TpbK+9sUwWyXrob4wf/PzA1y9bgmfveW8khWLmDRVGm4IM9kjDU0muG+f8Z2orvqfjTUN5RybIWBW7S07E2W5or/pk4yUkk898ApCwN/ftKkk38m25bXcckEr33z6OCeGIrQNTPL1p9q5bFUt47EU//o/xqJyf/cY33i6gxvPbylp5grIe8L/5vDArK8Zj6Z47OAAv7+1RfkOWb5IeB4Zwo5jQ5zXWlWyeWPb8hr2dY6+yrsdjGvkVy/3ceuFS3nPpct5/K9ex6dv2sS1G9VK2sr9HrxuMa8k43B/mPVNlSWvxdi2vIbD/eHTFpiPvnKK3rEYd1yhvv6lkGJqYdoHJxmYSHBFiaztYPaiv72dI9z8bzv52I/3s7G5krddWJoEFMyfYX5gfy9+j4sffegy1jWWc7h/Qql+2WRza5XR0GlawbaUkgO943nZBsDVuYZPqm3lwLCi3L66jkcO9CGlRErJXfe/zI+e6+aOe5/nlVwWvFSSjClLt7mLpdOZLD/8rWGusKZBfRLIbEpm1aN70QfMfo+Lt24pbXYZ5r6w7tvbw1d/08ZtFy/jjitWlHQclUEPeztHCXrdvPuSc/jj162mKujlzh/sIZnO8kclnmzBaF6Szkr6w3HSmSwvdI1y0QLYyRXSkmt1XVjRa9jpHaQi4OErt20tqUTHZC5rue/v7iSVyZakAHQ21jaUMziROO083dU2xMd+sp+Qz815raXLXJX7PaQyksQ0XfnDB/r5zeEB/uq6dSWz+AP45A0b8HlcfPqhg/ztL14m6HXztXdfyO3bV/DDZzt5tmOYj/34BZoqA/zDzZtLNg6TpqoAG5sreeLI7AHzgy+dJJnJcmsJggK/x03I535VhvnF7jHe9MWn+cL/HKF7JMoL3WMlK+wCuHhFLeF4esbP4ad7ukllJH94mbErVlfu5/bt6iVlQghqQj6O5yyxTF7qGeM93/otB0+GkVJyqC9cUtmSybblNWSlYSFn8u0dHSyvC3HtRvU7MIWYgVY4luL4UIR7nmznl/t76Rs3kiB7TozwxceOAaXxXzYJzqBh3nNihHd981mGJhJ84Q/O578/emVJ54y57uvpTJb/frmPazc2UFfu50vvvACvW5Qk4/22C1rJZCXv+dazp+2CnAonGI4k2VwQMN+0tZXW6mDJsrzXb27ixHCUo6cmeeRAPy90jXHT1hZe6Brlr366HyiNBzNAyOehIuChfx6HiscODXByPM7t21eUZBxTO9jWZBmlbdmmgOaqwII4M1QXVJwvL1h0P3bwFJ+8/yUuX13HZ27eXPKMpnmB37qtNd/e+E+vWc1nHz7MtRsaSqYtKsQsTvrir4+yvDZEJJlZUP0yGBdWdch7mvXL/xw8xe6OYT590yblrZ9nw7yw3vjFpwn63DRU+Hnv9hXcuKWZH+w+wXUbG1m1AN+JSWHh3/qmCr7xVDtfe6KNVfVlfP+OS0rSOczEbNU6mUjnA57ukSh/8/OX2dxayfsvX1GyY4NRiPPn167hn35lFML+49s2U1/u5y+vW8eDL57kD7/9LJms5Md3bi/JduZMvGHDEr7+VAfjs/im3r+vh3WN5adlkFRSE/KdprEfiST58H/sZSKe5iu/aePuJ9vJZKVS/+XpvGVLM/c82c7f/eIAl66qozynN8xkJf/5bBfbV5UmSzSdm7a28M1njvPQSyd565YWhicT/MkP9nJyPM4ffvtZvnLbBYxGUyXVL5tccE41QsCezhGuXFvPC12j7Osa41M3nlvy+1nA68bncfHNZzr4/KNHTvud3+Mikc7icQn+4KKlJS2MDU1zyTgxFOFD399Da3WQ+z58eUnnKhPzmhybYedhV/swQ5NJfv98IyF3bksl37z9opLspJ6/rJpv3n4RH7x3D+/9zrP88IOXURX05mUamwsSHectrWLnJ9+gfAwm153byN/+4gAPvniSh146ybrGcr7wB1u5bFUdd93/MgGvi5YSNN4ymc9aTkrJ93efoLU6yLUb1JsrQEGmOxzjXAtz84IHzEKI64EvA27gW1LKz831+oWSAZgB84nhCJtbqzgVjvOZhw7y8IF+NjRVcM97ti1IRtO8wAu37d53+QqOnppcsEzmlqVVnL+0igf2G9kxl0C5TVgxNFcFaRuYJJ3JkpGSf/rVIdY2lJdcw13IxStq+d/Xb2A0miSeyvBizzh/94sD/NN/HyKWynDn1Wp9sOfDtJb7zEMHOXZqgkgywy0XtvKZmzYrL4yYTllOihRJpKkv9xNPZfjwD/eSyUq+9q4LSy6bAnj/5Su5f18vlQEv78oVV1YFvfzvGzbwiZ+9xEffsIZLVi7cufr69Q3c/UQ7O44N8ZYtpzcyOj4UYV/XGJ+8YUPJFtqXrarjvn09LP3VIf76Tev52I9fYGgyyX0fvhyfx8XdT7TRORItacMhv8fN527dwtu/vovPP3KYv7/JyO4/fXSQntFYSewvZ+J/vWkDeztH+d8/e4m1DRX8/YOvMBxJ8rV3X8CnHzzIH33vOUCtQ8ZsVAS8rG+s4L9f6mM8lmJn2xAVfg/vuGhZyY8NsK6xnLFoig9euZJbLlzKSCTJ8ydGOD4U4eIVtVy9bknJF5Uhn5t0VtI+OEk6I/mT/9gLwHfff/GCBMtgLPKFMJpxSClPuw4fePEkFX5PXloFnPZYNVevW8LX33shf/yDvbzzG7v5v+84nwMnxxFiYc5Jk4aKABctr+HrT7WTzkq++/6LcbsE77rkHNKZLD1jsZLp2iHnUBE+XZKRzmR57NAAvzl8ip1tw/SOxfjE9etLdk8x3TqeODzItnNqi7Z4XNCAWQjhBu4GrgN6gOeFEA9IKQ8u5DhmoqHC+AA/9uP9fPynL+ISApcL/vqN6/jQ1auUFgHMxY1bWjivteq0rGXA6+Zf/+D8BTk+GDqnX/7ZlWSykp7RKIl0Np9pXUguXVnL93ad4HWff5JNLZV0Dkf5/h2XLEhgZuLzuPjwNavzP0sp2d0xzD1PtlMR8CxI58NCWmuMVquH+8O8dUsL7770nAWz+yvPZZifPDLIW7d4+JdHjnCgN8y3br+o5AV2Jj6Pi1985ArcLnHapP6ObUvZ1FKptPVzMWxdVk1V0MtvDg+wbXkNJ4YjZKXknNoQP9vbjRBw89bSOSJ87tbzCPpcfOPpDh55pZ/O4Sj/9Lbz8hZnX3nXBSU7diHbltfwvu0ruHf3Ca5YU0/XSJTv7+5kSYWfN24qrQTBxOdxcfd7LuStX9nBzXfvJJbK8Pm3b+GtW1rY0FTBO7/xW4YjyQVrvvS69Uv4xlMdnByL0VId5P+/8dx89r3UPPhnVyIl+WukpTp4WhZzITAD8mv/9SnA+H5+9KFLF2yuAOPff+Waev7z2S4OngzzievXc15rFS4hePRAP2/a3FRSx6npvGFDI99638X89X+9yE1376SuzMeq+rKSJzum86ZNTTx/YpTtq+q4Zv2UM8d7SySBKKSxMsChvoG89HR3xzDf3XmcntEYlQEP21fX8eFrVnPbxaVbXDZUBNiytIof/LaTnzzfzevWL+F165Zw2Tx2j8JqlaAThBDbgf8jpXxT7ue7AKSUn53tPRdddJHcs2fPgoxvb+coR/on6B6NEk9luOOKlSXdstLMTSYrefzQKb614zjPHR/h2g0NfPv9F5/pYZ1xTo7FKPN5Stb4YDbaBib5/a/tOK2Q56NvWMPH37h+Qcex2Pjoj17gwRdPzvi7q9bW84MPXFrS40spuXfXCT790EHedsFS/u87tpRcOjYTkUSaN37x6XzdwZalVXz8jetL2nBqJna2DXH7d57jtouX8Y9vOy//fNvAJPu7x3h7iVyOpiOlZDKRptzvOSPfx5kmkkjz2KFTpDMSl8vIoi7UYqWQTFZy374evvjro68qIv/+HZeUtL/DbIxFk3zmoUPct6+HWy5o5Qvv3Lqgxx+YiPPh/9jHZ27abEmSoIK7n2h7lVTokhW1fOCqlfzexsYFa44mpeTl3nF+8cJJHj7Qlz83Ov/5rXullBfN9J6FDpjfDlwvpfxg7uf3ApdKKf9s2uvuBO4EOOecc7Z1dnYu2Bg1i5P2wUkaKwMLlqHRzEw8leFA7zjPnxgllsrwsWvXLtgEt1g5emrCkEXUhFhRF8IlBF0jUXpHY7z5vOYFuyGdCsdZUu4v6XbqfLzUM8aTRwZ583lNC6Jbno3BiQT15b7fyUBVMzPxVIaHD/QxPJkkkshQ5ndzxxUrz+j1cqB3nKaqgHKbxcVMMp3lxZ4xJhNpYskM59SGFnz3YzpSSjqHo/y2Y5h3Xbp80QTM7wDeNC1gvkRK+dHZ3rOQGWaNRqPRaDQaze8mQohZA+aFtpXrAQqFKUuBmfcyNRqNRqPRaDSaRcBCB8zPA2uFECuFED7gNuCBBR6DRqPRaDQajUZTNAsqCJVSpoUQfwY8imEr9x0p5SsLOQaNRqPRaDQajcYKC15BJaX8FfCrhT6uRqPRaDQajUZjh0XfGluj0Wg0Go1GozmT6IBZo9FoNBqNRqOZAx0wazQajUaj0Wg0c6ADZo1Go9FoNBqNZg4WtHGJHYQQ48CxMzyMKmD8DI8BFsc4FsMYAOqBoTM8hsXyWSyGcSyGMcDiGMdiODdhcXwWegxTLIZx6HNzcY0BFsc4FsMYYHGcn2ullDO2Hjwb+gz/REp555kcgBDi38/0GBbLOBbDGHLj2DNbN54FHMNi+SzO+DgWwxgWyzgWw7mZG8di+Cz0GBbROPS5ubjGsFjGsRjGkBvHGT8/hRD/PtvvzgZJxoNnegAsjjHA4hjHYhjDYmGxfBaLYRyLYQyweMaxGFgMn4UewxSLZRyLgcXwWSyGMcDiGMdiGMNiYdbPYtFLMjSamVgMK1GNZib0ualZrOhzU7OYWezn59mQYdZoZmLWbRON5gyjz03NYkWfm5rFzKI+P3WGWaPRaDQajUajmQOdYdZoNBqNRqPRaOZAB8wajUaj0Wg0Gs0c6IBZsygQQnxHCDEghDhQ8Nz5QojdQoiXhRAPCiEqc8/7hBDfzT3/ohDimhn+3gOFf0ujsYuqc1MI8U4hxEtCiFeEEP9yBv4pmtcYQohlQognhBCHcufVx3LP1wohfi2EOJb7f03Be+4SQrQJIY4IId40w9/Uc6dGCSrPz8Uwf+qAWbNY+B5w/bTnvgV8Ukp5HvBz4H/lnv8QQO7564B/FULkz2UhxC3AZKkHrPmd4Xs4PDeFEHXA54FrpZSbgEYhxLULMXjNa5o08HEp5UbgMuAjQohzgU8Cj0sp1wKP534m97vbgE0Y5/S/CSHc5h/Tc6dGMUrOz8Uyf+qAWbMokFI+DYxMe3o98HTu8a+BW3OPz8W4yJBSDgBjwEUAQohy4K+AfyjxkDW/Iyg6N1cBR6WUg7nXPVbwHo3GFlLKPinlvtzjCeAQ0ArcBNybe9m9wM25xzcBP5ZSJqSUx4E24BLQc6dGPQrPz0Uxf+qAWbOYOQD8fu7xO4BluccvAjcJITxCiJXAtoLffQb4VyC6kAPV/M5h9dxsAzYIIVYIITwYN4hlaDSKEEKsAC4AngUapZR9YAQtQEPuZa1Ad8HbenLPgZ47NSXE4fm5KOZPHTBrFjN3YGzh7AUqgGTu+e9gXEh7gC8Bu4C0EGIrsEZK+fMzMVjN7xSWzk0p5SjwYeAnwDPACYztSo3GMbns8H3AX0gpw3O9dIbnpJ47NaXE6fm5WOZPz0IfUKMpFinlYeCNAEKIdcBbcs+ngb80XyeE2AUcA14HbBNCnMA4txuEEE9KKa9Z2JFrXuvYODeRUj5Iru2qEOJOILOwo9a8FhFCeDGCkR9KKe/PPX1KCNEspewTQjQDA7nnezg9M7cUOAlsR8+dmhKg6PxcFPOnzjBrFi1CiIbc/13A3wJfz/0cEkKU5R5fh5HBOyilvEdK2SKlXAFciaF5uuaMDF7zmsbquTntPTXAn2IUDmo0thFCCODbwCEp5RcKfvUA8L7c4/cBvyx4/jYhhD8nGVoLPKfnTk0pUHV+5v7WGZ8/dYZZsygQQvwIuAaoF0L0AJ8CyoUQH8m95H7gu7nHDcCjQogs0Au8d4GHq/kdQuG5+WUhxPm5x5+WUh4t+eA1r3WuwDjHXhZC7M899zfA54CfCiE+AHRh6OyRUr4ihPgpcBBjS/sjUkq906EpFSrPzzM+f+rW2BqNRqPRaDQazRxoSYZGo9FoNBqNRjMHOmDWaDQajUaj0WjmQAfMGo1Go9FoNBrNHOiAWaPRaDQajUajmQMdMGs0Go1Go9FoNHOgA2aNRqM5SxFC/B8hxF/P8fubhRDnLuSYNBqN5rWIDpg1Go3mtcvNgA6YNRqNxiHah1mj0WjOIoQQ/x9wO9ANDAJ7gXHgTsAHtGE0C9gKPJT73Thwa+5P3A0sAaLAh3JtvjUajUYzBzpg1mg0mrMEIcQ24HvApRidWvdhtOX+rpRyOPeafwBOSSm/KoT4HvCQlPJnud89DvyJlPKYEOJS4LNSyjcs/L9Eo9Fozi50a2yNRqM5e7gK+LmUMgoghHgg9/zmXKBcDZQDj05/oxCiHLgc+C8hhPm0v+Qj1mg0mtcAOmDWaDSas4uZtgW/B9wspXxRCPF+4JoZXuMCxqSUW0s3NI1Go3ltoov+NBqN5uzhaeBtQoigEKICuDH3fAXQJ4TwAu8peP1E7ndIKcPAcSHEOwCEwfkLN3SNRqM5e9EaZo1GozmLKCj66wR6gINABPhE7rmXgQop5fuFEFcA3wQSwNuBLHAP0Ax4gR9LKT+94P8IjUajOcvQAbNGo9FoNBqNRjMHWpKh0Wg0Go1Go9HMgQ6YNRqNRqPRaDSaOdABs0aj0Wg0Go1GMwc6YNZoNBqNRqPRaOZAB8wajUaj0Wg0Gs0c6IBZo9FoNBqNRqOZAx0wazQajUaj0Wg0c/D/ABHbVF+0GUchAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# groupby subdivisions and plot rainall time series for three selected subdivisions\n",
    "selected_subd = ['KERALA','ARUNACHAL PRADESH','ASSAM & MEGHALAYA']\n",
    "(df_clean.loc[df_clean['subdivision'].isin(selected_subd)]\n",
    "         .groupby('subdivision').plot(figsize=(12,4),xlim=('1990','2010')))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Further references:\n",
    "* Definitely checout Pandas documentation [page](https://pandas.pydata.org/pandas-docs/stable/getting_started/index.html).\n",
    "* A course of basic Pandas can be found in the [realpython](https://realpython.com/courses/pandas-dataframes-101/) website.\n",
    "* Also checkout [tomaugspurger](https://tomaugspurger.github.io/modern-1-intro.html) blog on Modern Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}