[Extreme events] Thermal Amplitude and Minimun Air humidity.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyzing if there are periods with thermal amplitude in an extreme situation for a long period\n",
    "\n",
    "# Also we will study if it occurs to min air humidity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'climate' from 'C:\\\\Users\\\\Hideki\\\\Desktop\\\\IC\\\\TEMPERATURAS CEPAGRI 1997-2016-20180824T001014Z-001\\\\TEMPERATURAS CEPAGRI 1997-2016\\\\climate.py'>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "import climate as cli\n",
    "import imp\n",
    "imp.reload(cli)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"DATA111_2DAILY_V0.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# To better visualyze the heat waves we wil work with a shifted dataframe starting in winter\n",
    "\n",
    "data['NEW_DAY'] = data['DAY365']\n",
    "\n",
    "data.loc[data['DAY365'] < 152 ,'NEW_DAY'] = data[data['DAY365'] < 152]['DAY365'].values + 214\n",
    "data.loc[data['DAY365'] >= 152, 'NEW_DAY'] = data[data['DAY365'] >= 152]['DAY365'].values - 151"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['YEAR', 'DAY365', 'MAX_N_WNDVEL_5M', 'DIR_MAX_N_WNDVEL_5M',\n",
       "       'MIN_N_WNDVEL_5M', 'DIR_MIN_N_WNDVEL_5M', 'MEAN_N_WNDVEL_5M',\n",
       "       'MAX_N_WNDVEL_2M', 'DIR_MAX_N_WNDVEL_2M', 'MIN_N_WNDVEL_2M',\n",
       "       'DIR_MIN_N_WNDVEL_2M', 'MEAN_N_WNDVEL_2M', 'MAX_N_WNDDIR_DEGREE',\n",
       "       'DIR_MAX_N_WNDDIR_DEGREE', 'MIN_N_WNDDIR_DEGREE',\n",
       "       'DIR_MIN_N_WNDDIR_DEGREE', 'MEAN_N_WNDDIR_DEGREE',\n",
       "       'MAX_N_INCRAD_10MSR', 'DIR_MAX_N_INCRAD_10MSR',\n",
       "       'MIN_N_INCRAD_10MSR', 'DIR_MIN_N_INCRAD_10MSR',\n",
       "       'MEAN_N_INCRAD_10MSR', 'MAX_N_REFRAD_10MSR',\n",
       "       'DIR_MAX_N_REFRAD_10MSR', 'MIN_N_REFRAD_10MSR',\n",
       "       'DIR_MIN_N_REFRAD_10MSR', 'MEAN_N_REFRAD_10MSR',\n",
       "       'MAX_N_PHTFLOW_10MSR', 'DIR_MAX_N_PHTFLOW_10MSR',\n",
       "       'MIN_N_PHTFLOW_10MSR', 'DIR_MIN_N_PHTFLOW_10MSR',\n",
       "       'MEAN_N_PHTFLOW_10MSR', 'MAX_N_NHTFLOW_10MSR',\n",
       "       'DIR_MAX_N_NHTFLOW_10MSR', 'MIN_N_NHTFLOW_10MSR',\n",
       "       'DIR_MIN_N_NHTFLOW_10MSR', 'MEAN_N_NHTFLOW_10MSR',\n",
       "       'MAX_N_AIRMTR_PCT10', 'DIR_MAX_N_AIRMTR_PCT10',\n",
       "       'MIN_N_AIRMTR_PCT10', 'DIR_MIN_N_AIRMTR_PCT10',\n",
       "       'MEAN_N_AIRMTR_PCT10', 'MAX_N_AIRTMP_MED10',\n",
       "       'DIR_MAX_N_AIRTMP_MED10', 'MIN_N_AIRTMP_MED10',\n",
       "       'DIR_MIN_N_AIRTMP_MED10', 'MEAN_N_AIRTMP_MED10', 'MAX_N_GRDTMP_3CM',\n",
       "       'DIR_MAX_N_GRDTMP_3CM', 'MIN_N_GRDTMP_3CM', 'DIR_MIN_N_GRDTMP_3CM',\n",
       "       'MEAN_N_GRDTMP_3CM', 'MAX_N_GRDTMP_6CM', 'DIR_MAX_N_GRDTMP_6CM',\n",
       "       'MIN_N_GRDTMP_6CM', 'DIR_MIN_N_GRDTMP_6CM', 'MEAN_N_GRDTMP_6CM',\n",
       "       'MAX_N_GRDTMP_UV', 'DIR_MAX_N_GRDTMP_UV', 'MIN_N_GRDTMP_UV',\n",
       "       'DIR_MIN_N_GRDTMP_UV', 'MEAN_N_GRDTMP_UV', 'MAX_N_PRESSION_HPA',\n",
       "       'DIR_MAX_N_PRESSION_HPA', 'MIN_N_PRESSION_HPA',\n",
       "       'DIR_MIN_N_PRESSION_HPA', 'MEAN_N_PRESSION_HPA', 'MAX_N_RAIN_SUM10',\n",
       "       'DIR_MAX_N_RAIN_SUM10', 'MIN_N_RAIN_SUM10', 'DIR_MIN_N_RAIN_SUM10',\n",
       "       'MEAN_N_RAIN_SUM10', 'MONTH', 'WEEK', 'NEW_DAY'], dtype=object)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating variable of Thermal amplitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data['N_TERMAMP'] = data['MAX_N_AIRTMP_MED10'] - data['MIN_N_AIRTMP_MED10']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x20b36446cc0>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ox0ThnfNnUFHoZ9UG61Fl3GFJP0HtbTrJ45vqKSvwc9OlFXhsioWE4PEIt9ZU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\nKcSSvjHGpBBL+sYYk0Is6RtjTAr5/6qXgyCjyCVMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20b365417f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['N_TERMAMP'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15.82"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['N_TERMAMP'].quantile(.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Days with max air temp above 40"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MIN_N_AIRTMP_MED10</th>\n",
       "      <th>MAX_N_AIRTMP_MED10</th>\n",
       "      <th>DAY365</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MIN_N_AIRMTR_PCT10</th>\n",
       "      <th>MAX_N_AIRMTR_PCT10</th>\n",
       "      <th>N_TERMAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>20.68</td>\n",
       "      <td>38.82</td>\n",
       "      <td>315.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>35.51</td>\n",
       "      <td>100.0</td>\n",
       "      <td>18.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>22.68</td>\n",
       "      <td>44.80</td>\n",
       "      <td>316.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>62.14</td>\n",
       "      <td>100.0</td>\n",
       "      <td>22.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>21.22</td>\n",
       "      <td>31.83</td>\n",
       "      <td>317.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>62.68</td>\n",
       "      <td>100.0</td>\n",
       "      <td>10.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>25.01</td>\n",
       "      <td>38.88</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>50.32</td>\n",
       "      <td>100.0</td>\n",
       "      <td>13.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>26.26</td>\n",
       "      <td>42.16</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>65.31</td>\n",
       "      <td>100.0</td>\n",
       "      <td>15.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>32.72</td>\n",
       "      <td>44.76</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>77.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>12.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>24.47</td>\n",
       "      <td>41.45</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>78.20</td>\n",
       "      <td>100.0</td>\n",
       "      <td>16.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>23.84</td>\n",
       "      <td>42.31</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>69.79</td>\n",
       "      <td>100.0</td>\n",
       "      <td>18.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>26.97</td>\n",
       "      <td>41.41</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>69.39</td>\n",
       "      <td>100.0</td>\n",
       "      <td>14.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>28.21</td>\n",
       "      <td>41.40</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>58.02</td>\n",
       "      <td>100.0</td>\n",
       "      <td>13.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>22.18</td>\n",
       "      <td>42.30</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>51.69</td>\n",
       "      <td>100.0</td>\n",
       "      <td>20.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>21.06</td>\n",
       "      <td>32.86</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>51.22</td>\n",
       "      <td>100.0</td>\n",
       "      <td>11.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1406</th>\n",
       "      <td>20.18</td>\n",
       "      <td>44.45</td>\n",
       "      <td>363.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1407</th>\n",
       "      <td>17.06</td>\n",
       "      <td>30.17</td>\n",
       "      <td>364.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>13.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1795</th>\n",
       "      <td>17.46</td>\n",
       "      <td>30.31</td>\n",
       "      <td>47.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>54.47</td>\n",
       "      <td>100.0</td>\n",
       "      <td>12.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1796</th>\n",
       "      <td>17.03</td>\n",
       "      <td>41.94</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1797</th>\n",
       "      <td>17.03</td>\n",
       "      <td>28.10</td>\n",
       "      <td>49.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>55.24</td>\n",
       "      <td>100.0</td>\n",
       "      <td>11.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2369</th>\n",
       "      <td>13.86</td>\n",
       "      <td>23.04</td>\n",
       "      <td>257.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>53.78</td>\n",
       "      <td>89.3</td>\n",
       "      <td>9.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2370</th>\n",
       "      <td>12.56</td>\n",
       "      <td>43.20</td>\n",
       "      <td>258.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>28.14</td>\n",
       "      <td>100.0</td>\n",
       "      <td>30.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2371</th>\n",
       "      <td>15.74</td>\n",
       "      <td>41.34</td>\n",
       "      <td>259.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>77.90</td>\n",
       "      <td>100.0</td>\n",
       "      <td>25.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2372</th>\n",
       "      <td>14.31</td>\n",
       "      <td>23.89</td>\n",
       "      <td>260.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>53.83</td>\n",
       "      <td>96.6</td>\n",
       "      <td>9.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2715</th>\n",
       "      <td>13.71</td>\n",
       "      <td>30.98</td>\n",
       "      <td>238.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>31.42</td>\n",
       "      <td>98.8</td>\n",
       "      <td>17.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2716</th>\n",
       "      <td>14.67</td>\n",
       "      <td>44.13</td>\n",
       "      <td>239.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>36.36</td>\n",
       "      <td>100.0</td>\n",
       "      <td>29.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2717</th>\n",
       "      <td>20.26</td>\n",
       "      <td>21.30</td>\n",
       "      <td>240.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>80.80</td>\n",
       "      <td>87.2</td>\n",
       "      <td>1.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545</th>\n",
       "      <td>19.00</td>\n",
       "      <td>29.08</td>\n",
       "      <td>346.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>60.99</td>\n",
       "      <td>92.2</td>\n",
       "      <td>10.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3546</th>\n",
       "      <td>19.40</td>\n",
       "      <td>41.94</td>\n",
       "      <td>347.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>54.61</td>\n",
       "      <td>100.0</td>\n",
       "      <td>22.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3547</th>\n",
       "      <td>22.54</td>\n",
       "      <td>28.17</td>\n",
       "      <td>348.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>54.49</td>\n",
       "      <td>75.4</td>\n",
       "      <td>5.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4420</th>\n",
       "      <td>16.85</td>\n",
       "      <td>30.16</td>\n",
       "      <td>132.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>44.87</td>\n",
       "      <td>100.0</td>\n",
       "      <td>13.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4421</th>\n",
       "      <td>16.64</td>\n",
       "      <td>43.97</td>\n",
       "      <td>133.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>40.41</td>\n",
       "      <td>99.1</td>\n",
       "      <td>27.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4422</th>\n",
       "      <td>16.05</td>\n",
       "      <td>29.23</td>\n",
       "      <td>134.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>42.58</td>\n",
       "      <td>99.3</td>\n",
       "      <td>13.18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      MIN_N_AIRTMP_MED10  MAX_N_AIRTMP_MED10  DAY365    YEAR  \\\n",
       "314                20.68               38.82   315.0  1997.0   \n",
       "315                22.68               44.80   316.0  1997.0   \n",
       "316                21.22               31.83   317.0  1997.0   \n",
       "386                25.01               38.88    22.0  1998.0   \n",
       "387                26.26               42.16    23.0  1998.0   \n",
       "388                32.72               44.76    24.0  1998.0   \n",
       "389                24.47               41.45    25.0  1998.0   \n",
       "390                23.84               42.31    26.0  1998.0   \n",
       "391                26.97               41.41    27.0  1998.0   \n",
       "392                28.21               41.40    28.0  1998.0   \n",
       "393                22.18               42.30    29.0  1998.0   \n",
       "394                21.06               32.86    30.0  1998.0   \n",
       "1406               20.18               44.45   363.0  2000.0   \n",
       "1407               17.06               30.17   364.0  2000.0   \n",
       "1795               17.46               30.31    47.0  2002.0   \n",
       "1796               17.03               41.94    48.0  2002.0   \n",
       "1797               17.03               28.10    49.0  2002.0   \n",
       "2369               13.86               23.04   257.0  2003.0   \n",
       "2370               12.56               43.20   258.0  2003.0   \n",
       "2371               15.74               41.34   259.0  2003.0   \n",
       "2372               14.31               23.89   260.0  2003.0   \n",
       "2715               13.71               30.98   238.0  2004.0   \n",
       "2716               14.67               44.13   239.0  2004.0   \n",
       "2717               20.26               21.30   240.0  2004.0   \n",
       "3545               19.00               29.08   346.0  2006.0   \n",
       "3546               19.40               41.94   347.0  2006.0   \n",
       "3547               22.54               28.17   348.0  2006.0   \n",
       "4420               16.85               30.16   132.0  2009.0   \n",
       "4421               16.64               43.97   133.0  2009.0   \n",
       "4422               16.05               29.23   134.0  2009.0   \n",
       "\n",
       "      MIN_N_AIRMTR_PCT10  MAX_N_AIRMTR_PCT10  N_TERMAMP  \n",
       "314                35.51               100.0      18.14  \n",
       "315                62.14               100.0      22.12  \n",
       "316                62.68               100.0      10.61  \n",
       "386                50.32               100.0      13.87  \n",
       "387                65.31               100.0      15.90  \n",
       "388                77.00               100.0      12.04  \n",
       "389                78.20               100.0      16.98  \n",
       "390                69.79               100.0      18.47  \n",
       "391                69.39               100.0      14.44  \n",
       "392                58.02               100.0      13.19  \n",
       "393                51.69               100.0      20.12  \n",
       "394                51.22               100.0      11.80  \n",
       "1406              100.00               100.0      24.27  \n",
       "1407              100.00               100.0      13.11  \n",
       "1795               54.47               100.0      12.85  \n",
       "1796              100.00               100.0      24.91  \n",
       "1797               55.24               100.0      11.07  \n",
       "2369               53.78                89.3       9.18  \n",
       "2370               28.14               100.0      30.64  \n",
       "2371               77.90               100.0      25.60  \n",
       "2372               53.83                96.6       9.58  \n",
       "2715               31.42                98.8      17.27  \n",
       "2716               36.36               100.0      29.46  \n",
       "2717               80.80                87.2       1.04  \n",
       "3545               60.99                92.2      10.08  \n",
       "3546               54.61               100.0      22.54  \n",
       "3547               54.49                75.4       5.63  \n",
       "4420               44.87               100.0      13.31  \n",
       "4421               40.41                99.1      27.33  \n",
       "4422               42.58                99.3      13.18  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = ['MIN_N_AIRTMP_MED10','MAX_N_AIRTMP_MED10','DAY365','YEAR','MIN_N_AIRMTR_PCT10','MAX_N_AIRMTR_PCT10','N_TERMAMP']\n",
    "\n",
    "c1 = (data['DAY365'].isin([315,316,317]) )&(data['YEAR'] == 1997)\n",
    "c2 = (data['DAY365'].isin([22,23,24,25,26,27,28,29,30]) )&(data['YEAR'] == 1998)\n",
    "c3 = (data['DAY365'].isin([362,363,364]) )&(data['YEAR'] == 2000)\n",
    "c4 = (data['DAY365'].isin([47,48,49]) )&(data['YEAR'] == 2002)\n",
    "c5 = (data['DAY365'].isin([257,258,259,260]) )&(data['YEAR'] == 2003)\n",
    "c6 = (data['DAY365'].isin([238,239,240]) )&(data['YEAR'] == 2004)\n",
    "c7 = (data['DAY365'].isin([346,347,348]) )&(data['YEAR'] == 2006)\n",
    "c8 = (data['DAY365'].isin([132,133,134]) )&(data['YEAR'] == 2009)\n",
    "\n",
    "data[c1|c2|c3|c4|c5|c6|c7|c8][features]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By the plot above it's clearly that there are periods with thermal amplitude above 20ºC which is strange, lets check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.005019815059445178"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['N_TERMAMP'] > 20].shape[0]/data.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        text-align: right;\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MIN_N_AIRTMP_MED10</th>\n",
       "      <th>MAX_N_AIRTMP_MED10</th>\n",
       "      <th>DAY365</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MIN_N_AIRMTR_PCT10</th>\n",
       "      <th>MAX_N_AIRMTR_PCT10</th>\n",
       "      <th>N_TERMAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>11.29</td>\n",
       "      <td>33.26</td>\n",
       "      <td>251.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>26.95</td>\n",
       "      <td>100.00</td>\n",
       "      <td>21.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>22.68</td>\n",
       "      <td>44.80</td>\n",
       "      <td>316.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>62.14</td>\n",
       "      <td>100.00</td>\n",
       "      <td>22.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>22.18</td>\n",
       "      <td>42.30</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>51.69</td>\n",
       "      <td>100.00</td>\n",
       "      <td>20.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>7.63</td>\n",
       "      <td>27.87</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>45.90</td>\n",
       "      <td>98.50</td>\n",
       "      <td>20.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>7.05</td>\n",
       "      <td>28.73</td>\n",
       "      <td>222.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>22.98</td>\n",
       "      <td>94.60</td>\n",
       "      <td>21.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>9.18</td>\n",
       "      <td>30.46</td>\n",
       "      <td>223.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>21.26</td>\n",
       "      <td>88.20</td>\n",
       "      <td>21.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>11.49</td>\n",
       "      <td>32.05</td>\n",
       "      <td>245.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>17.55</td>\n",
       "      <td>76.60</td>\n",
       "      <td>20.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>11.61</td>\n",
       "      <td>32.04</td>\n",
       "      <td>246.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>17.27</td>\n",
       "      <td>77.60</td>\n",
       "      <td>20.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>6.63</td>\n",
       "      <td>27.03</td>\n",
       "      <td>151.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>7.62</td>\n",
       "      <td>89.10</td>\n",
       "      <td>20.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1406</th>\n",
       "      <td>20.18</td>\n",
       "      <td>44.45</td>\n",
       "      <td>363.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>24.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1796</th>\n",
       "      <td>17.03</td>\n",
       "      <td>41.94</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>24.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>10.61</td>\n",
       "      <td>31.04</td>\n",
       "      <td>206.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>17.62</td>\n",
       "      <td>93.10</td>\n",
       "      <td>20.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2314</th>\n",
       "      <td>9.13</td>\n",
       "      <td>30.23</td>\n",
       "      <td>202.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>24.56</td>\n",
       "      <td>92.40</td>\n",
       "      <td>21.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2343</th>\n",
       "      <td>9.35</td>\n",
       "      <td>29.66</td>\n",
       "      <td>231.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>14.04</td>\n",
       "      <td>77.50</td>\n",
       "      <td>20.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2344</th>\n",
       "      <td>9.81</td>\n",
       "      <td>30.42</td>\n",
       "      <td>232.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>13.54</td>\n",
       "      <td>82.20</td>\n",
       "      <td>20.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2345</th>\n",
       "      <td>10.64</td>\n",
       "      <td>30.65</td>\n",
       "      <td>233.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>17.00</td>\n",
       "      <td>74.90</td>\n",
       "      <td>20.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2346</th>\n",
       "      <td>10.58</td>\n",
       "      <td>31.17</td>\n",
       "      <td>234.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>14.17</td>\n",
       "      <td>78.00</td>\n",
       "      <td>20.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2348</th>\n",
       "      <td>12.34</td>\n",
       "      <td>32.44</td>\n",
       "      <td>236.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>15.61</td>\n",
       "      <td>83.20</td>\n",
       "      <td>20.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2370</th>\n",
       "      <td>12.56</td>\n",
       "      <td>43.20</td>\n",
       "      <td>258.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>28.14</td>\n",
       "      <td>100.00</td>\n",
       "      <td>30.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2371</th>\n",
       "      <td>15.74</td>\n",
       "      <td>41.34</td>\n",
       "      <td>259.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>77.90</td>\n",
       "      <td>100.00</td>\n",
       "      <td>25.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2692</th>\n",
       "      <td>5.86</td>\n",
       "      <td>26.44</td>\n",
       "      <td>215.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>39.59</td>\n",
       "      <td>96.00</td>\n",
       "      <td>20.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2716</th>\n",
       "      <td>14.67</td>\n",
       "      <td>44.13</td>\n",
       "      <td>239.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>36.36</td>\n",
       "      <td>100.00</td>\n",
       "      <td>29.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2760</th>\n",
       "      <td>11.85</td>\n",
       "      <td>33.71</td>\n",
       "      <td>283.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>15.06</td>\n",
       "      <td>88.60</td>\n",
       "      <td>21.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3546</th>\n",
       "      <td>19.40</td>\n",
       "      <td>41.94</td>\n",
       "      <td>347.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>54.61</td>\n",
       "      <td>100.00</td>\n",
       "      <td>22.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4421</th>\n",
       "      <td>16.64</td>\n",
       "      <td>43.97</td>\n",
       "      <td>133.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>40.41</td>\n",
       "      <td>99.10</td>\n",
       "      <td>27.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>11.73</td>\n",
       "      <td>31.86</td>\n",
       "      <td>235.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>22.13</td>\n",
       "      <td>77.00</td>\n",
       "      <td>20.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>12.92</td>\n",
       "      <td>33.56</td>\n",
       "      <td>237.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>18.67</td>\n",
       "      <td>73.80</td>\n",
       "      <td>20.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4908</th>\n",
       "      <td>13.39</td>\n",
       "      <td>33.89</td>\n",
       "      <td>255.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>20.34</td>\n",
       "      <td>69.73</td>\n",
       "      <td>20.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5198</th>\n",
       "      <td>6.43</td>\n",
       "      <td>26.65</td>\n",
       "      <td>180.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>27.09</td>\n",
       "      <td>91.70</td>\n",
       "      <td>20.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5209</th>\n",
       "      <td>9.07</td>\n",
       "      <td>29.14</td>\n",
       "      <td>191.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>32.29</td>\n",
       "      <td>88.00</td>\n",
       "      <td>20.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5264</th>\n",
       "      <td>9.83</td>\n",
       "      <td>30.11</td>\n",
       "      <td>246.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>14.53</td>\n",
       "      <td>72.10</td>\n",
       "      <td>20.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5265</th>\n",
       "      <td>10.96</td>\n",
       "      <td>32.86</td>\n",
       "      <td>247.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>8.60</td>\n",
       "      <td>65.09</td>\n",
       "      <td>21.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5266</th>\n",
       "      <td>11.98</td>\n",
       "      <td>34.08</td>\n",
       "      <td>248.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>10.46</td>\n",
       "      <td>61.66</td>\n",
       "      <td>22.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5291</th>\n",
       "      <td>16.40</td>\n",
       "      <td>36.57</td>\n",
       "      <td>273.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>12.63</td>\n",
       "      <td>68.63</td>\n",
       "      <td>20.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5586</th>\n",
       "      <td>6.51</td>\n",
       "      <td>26.58</td>\n",
       "      <td>203.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>29.05</td>\n",
       "      <td>99.50</td>\n",
       "      <td>20.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6019</th>\n",
       "      <td>12.15</td>\n",
       "      <td>32.57</td>\n",
       "      <td>271.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>33.67</td>\n",
       "      <td>90.40</td>\n",
       "      <td>20.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6356</th>\n",
       "      <td>12.82</td>\n",
       "      <td>33.80</td>\n",
       "      <td>243.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>25.01</td>\n",
       "      <td>96.40</td>\n",
       "      <td>20.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7066</th>\n",
       "      <td>10.51</td>\n",
       "      <td>31.21</td>\n",
       "      <td>227.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>17.17</td>\n",
       "      <td>72.60</td>\n",
       "      <td>20.70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      MIN_N_AIRTMP_MED10  MAX_N_AIRTMP_MED10  DAY365    YEAR  \\\n",
       "250                11.29               33.26   251.0  1997.0   \n",
       "315                22.68               44.80   316.0  1997.0   \n",
       "393                22.18               42.30    29.0  1998.0   \n",
       "790                 7.63               27.87   110.0  1999.0   \n",
       "902                 7.05               28.73   222.0  1999.0   \n",
       "903                 9.18               30.46   223.0  1999.0   \n",
       "925                11.49               32.05   245.0  1999.0   \n",
       "926                11.61               32.04   246.0  1999.0   \n",
       "1196                6.63               27.03   151.0  2000.0   \n",
       "1406               20.18               44.45   363.0  2000.0   \n",
       "1796               17.03               41.94    48.0  2002.0   \n",
       "1954               10.61               31.04   206.0  2002.0   \n",
       "2314                9.13               30.23   202.0  2003.0   \n",
       "2343                9.35               29.66   231.0  2003.0   \n",
       "2344                9.81               30.42   232.0  2003.0   \n",
       "2345               10.64               30.65   233.0  2003.0   \n",
       "2346               10.58               31.17   234.0  2003.0   \n",
       "2348               12.34               32.44   236.0  2003.0   \n",
       "2370               12.56               43.20   258.0  2003.0   \n",
       "2371               15.74               41.34   259.0  2003.0   \n",
       "2692                5.86               26.44   215.0  2004.0   \n",
       "2716               14.67               44.13   239.0  2004.0   \n",
       "2760               11.85               33.71   283.0  2004.0   \n",
       "3546               19.40               41.94   347.0  2006.0   \n",
       "4421               16.64               43.97   133.0  2009.0   \n",
       "4888               11.73               31.86   235.0  2010.0   \n",
       "4890               12.92               33.56   237.0  2010.0   \n",
       "4908               13.39               33.89   255.0  2010.0   \n",
       "5198                6.43               26.65   180.0  2011.0   \n",
       "5209                9.07               29.14   191.0  2011.0   \n",
       "5264                9.83               30.11   246.0  2011.0   \n",
       "5265               10.96               32.86   247.0  2011.0   \n",
       "5266               11.98               34.08   248.0  2011.0   \n",
       "5291               16.40               36.57   273.0  2011.0   \n",
       "5586                6.51               26.58   203.0  2012.0   \n",
       "6019               12.15               32.57   271.0  2013.0   \n",
       "6356               12.82               33.80   243.0  2014.0   \n",
       "7066               10.51               31.21   227.0  2016.0   \n",
       "\n",
       "      MIN_N_AIRMTR_PCT10  MAX_N_AIRMTR_PCT10  N_TERMAMP  \n",
       "250                26.95              100.00      21.97  \n",
       "315                62.14              100.00      22.12  \n",
       "393                51.69              100.00      20.12  \n",
       "790                45.90               98.50      20.24  \n",
       "902                22.98               94.60      21.68  \n",
       "903                21.26               88.20      21.28  \n",
       "925                17.55               76.60      20.56  \n",
       "926                17.27               77.60      20.43  \n",
       "1196                7.62               89.10      20.40  \n",
       "1406              100.00              100.00      24.27  \n",
       "1796              100.00              100.00      24.91  \n",
       "1954               17.62               93.10      20.43  \n",
       "2314               24.56               92.40      21.10  \n",
       "2343               14.04               77.50      20.31  \n",
       "2344               13.54               82.20      20.61  \n",
       "2345               17.00               74.90      20.01  \n",
       "2346               14.17               78.00      20.59  \n",
       "2348               15.61               83.20      20.10  \n",
       "2370               28.14              100.00      30.64  \n",
       "2371               77.90              100.00      25.60  \n",
       "2692               39.59               96.00      20.58  \n",
       "2716               36.36              100.00      29.46  \n",
       "2760               15.06               88.60      21.86  \n",
       "3546               54.61              100.00      22.54  \n",
       "4421               40.41               99.10      27.33  \n",
       "4888               22.13               77.00      20.13  \n",
       "4890               18.67               73.80      20.64  \n",
       "4908               20.34               69.73      20.50  \n",
       "5198               27.09               91.70      20.22  \n",
       "5209               32.29               88.00      20.07  \n",
       "5264               14.53               72.10      20.28  \n",
       "5265                8.60               65.09      21.90  \n",
       "5266               10.46               61.66      22.10  \n",
       "5291               12.63               68.63      20.17  \n",
       "5586               29.05               99.50      20.07  \n",
       "6019               33.67               90.40      20.42  \n",
       "6356               25.01               96.40      20.98  \n",
       "7066               17.17               72.60      20.70  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "data[data['N_TERMAMP'] > 20][features]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I cant see anything extremely wrong (except for the day 258 in 2003 with 30ºC of amplitude), but its important to check with Dra Ana so lets get days and years "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DAY365</th>\n",
       "      <th>YEAR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>251.0</td>\n",
       "      <td>1997.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>316.0</td>\n",
       "      <td>1997.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1998.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>110.0</td>\n",
       "      <td>1999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>222.0</td>\n",
       "      <td>1999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>223.0</td>\n",
       "      <td>1999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>245.0</td>\n",
       "      <td>1999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>246.0</td>\n",
       "      <td>1999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>151.0</td>\n",
       "      <td>2000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1406</th>\n",
       "      <td>363.0</td>\n",
       "      <td>2000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1796</th>\n",
       "      <td>48.0</td>\n",
       "      <td>2002.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>206.0</td>\n",
       "      <td>2002.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2314</th>\n",
       "      <td>202.0</td>\n",
       "      <td>2003.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2343</th>\n",
       "      <td>231.0</td>\n",
       "      <td>2003.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2344</th>\n",
       "      <td>232.0</td>\n",
       "      <td>2003.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2345</th>\n",
       "      <td>233.0</td>\n",
       "      <td>2003.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2346</th>\n",
       "      <td>234.0</td>\n",
       "      <td>2003.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2348</th>\n",
       "      <td>236.0</td>\n",
       "      <td>2003.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2370</th>\n",
       "      <td>258.0</td>\n",
       "      <td>2003.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2371</th>\n",
       "      <td>259.0</td>\n",
       "      <td>2003.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2692</th>\n",
       "      <td>215.0</td>\n",
       "      <td>2004.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2716</th>\n",
       "      <td>239.0</td>\n",
       "      <td>2004.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2760</th>\n",
       "      <td>283.0</td>\n",
       "      <td>2004.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3546</th>\n",
       "      <td>347.0</td>\n",
       "      <td>2006.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4421</th>\n",
       "      <td>133.0</td>\n",
       "      <td>2009.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>235.0</td>\n",
       "      <td>2010.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>237.0</td>\n",
       "      <td>2010.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4908</th>\n",
       "      <td>255.0</td>\n",
       "      <td>2010.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5198</th>\n",
       "      <td>180.0</td>\n",
       "      <td>2011.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5209</th>\n",
       "      <td>191.0</td>\n",
       "      <td>2011.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5264</th>\n",
       "      <td>246.0</td>\n",
       "      <td>2011.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5265</th>\n",
       "      <td>247.0</td>\n",
       "      <td>2011.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5266</th>\n",
       "      <td>248.0</td>\n",
       "      <td>2011.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5291</th>\n",
       "      <td>273.0</td>\n",
       "      <td>2011.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5586</th>\n",
       "      <td>203.0</td>\n",
       "      <td>2012.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6019</th>\n",
       "      <td>271.0</td>\n",
       "      <td>2013.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6356</th>\n",
       "      <td>243.0</td>\n",
       "      <td>2014.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7066</th>\n",
       "      <td>227.0</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      DAY365    YEAR\n",
       "250    251.0  1997.0\n",
       "315    316.0  1997.0\n",
       "393     29.0  1998.0\n",
       "790    110.0  1999.0\n",
       "902    222.0  1999.0\n",
       "903    223.0  1999.0\n",
       "925    245.0  1999.0\n",
       "926    246.0  1999.0\n",
       "1196   151.0  2000.0\n",
       "1406   363.0  2000.0\n",
       "1796    48.0  2002.0\n",
       "1954   206.0  2002.0\n",
       "2314   202.0  2003.0\n",
       "2343   231.0  2003.0\n",
       "2344   232.0  2003.0\n",
       "2345   233.0  2003.0\n",
       "2346   234.0  2003.0\n",
       "2348   236.0  2003.0\n",
       "2370   258.0  2003.0\n",
       "2371   259.0  2003.0\n",
       "2692   215.0  2004.0\n",
       "2716   239.0  2004.0\n",
       "2760   283.0  2004.0\n",
       "3546   347.0  2006.0\n",
       "4421   133.0  2009.0\n",
       "4888   235.0  2010.0\n",
       "4890   237.0  2010.0\n",
       "4908   255.0  2010.0\n",
       "5198   180.0  2011.0\n",
       "5209   191.0  2011.0\n",
       "5264   246.0  2011.0\n",
       "5265   247.0  2011.0\n",
       "5266   248.0  2011.0\n",
       "5291   273.0  2011.0\n",
       "5586   203.0  2012.0\n",
       "6019   271.0  2013.0\n",
       "6356   243.0  2014.0\n",
       "7066   227.0  2016.0"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['N_TERMAMP'] > 20][['DAY365','YEAR']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generating the tag if thermal amplitude exceeds p90th"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 0 ns\n"
     ]
    }
   ],
   "source": [
    "% time\n",
    "flag_thermamp = 'e_THERMAMP'\n",
    "flag_unique1 = 'unique_e_THERMAMP'\n",
    "# var_temperature = 'MEAN_N_AIRTMP_MED10'\n",
    "percentile = .90\n",
    "# Getting index CTX90pct\n",
    "fv = cli.get_heatwave(data, flag_thermamp, hw_name = flag_unique1, percentile=percentile, index = 'CTX90pct',max_tmp_name = 'N_TERMAMP')\n",
    "\n",
    "\n",
    "# Getting COLDWAVE index CTN90pct\n",
    "percentile = .1\n",
    "flag_minhum2 = 'e_minhum'\n",
    "flag_unique2 = 'unique_e_minhum'\n",
    "fv = cli.get_coldwave(fv, flag_minhum2, cw_name = flag_unique2, percentile=percentile, index = 'CTN90pct', min_tmp_name='MIN_N_AIRMTR_PCT10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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v/ceBF621t44634XA3MxyY8zLgA/jhoLsAb5ire0ar90amiGjhbwrlEyR4kL8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kLEscBjWmutlPod4A1a608opT4EjGqt/10ptRH4FPBurbV7kHlvAY4BvuA/7tRaT1RZdhj4B+Cv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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20b365f2b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cli.plot_heatwave(fv,flag_thermamp,'N_TERMAMP')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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EcCPWH8AYF0s5vk1gTHA7BB/jSOABI59Ja5sMkejshvsfHvtn3dUNf74LptdC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\ngRv1iHCOHw5iXrdxfdAx62nAMWe2OejBO7Yuv3fIavRqHrfLem0vbs6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r/9L0vBdjej18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CNCJxIRqRuBCNSFyIRiQuRCMBjwuZmiGEaG/ZbBalVEsOJRNCHJzksBDtT/JYiPbWyjkshQgh\nREtKJBIMDAyQSCSWuilCiDmQHBai/UkeC9HeWjmHpRAhhGhJSilSqRRKzXqElxCihUgOC9H+JI+F\naG+tnMNSiBBCtKRcLkc6nSaXyy11U4QQcyA5LET7kzwWor21cg7LYpXisBLwxWECRWtNLpcjmUwu\nehVX4kI0InExP83M4WaSuBCNBDUugprHzRLUuBDz08y4WIIclsUqhRDtTWtNNpslyMVSIYJMcliI\n9id5LER7a+UclkKEEKIlTU5O0t/fz+Tk5FI3RQgxB5LDQrQ/yWMh2lsr57BMzRCHFRkiJxqRuBCN\nSFyIRiQuRCMSF6IRiQvRSMDjQqZmCCHam+d5PPHEE3iet9RNEULMgeSwEO1P8liI9tbKOSyFCCFE\nS8rn82zcuJF8Pr/UTRFCzIHksBDtT/JYiPbWyjksUzPEYSXgQ6HEHElcHD60hod+Az+8A37zW9g7\nDr4Pjg2eB1qBvR68EyG0wUcnwFUWzgR4DwCPQMaDo/rgnLfAqSdBOLzUvRLNJMcL0YjEhWhE4kI0\nEvC4mPXUDClEiMNKwBM/UFzX5cEHH+SEE07AcZxFfS6Ji8OD68Lnvgy3/QSqHuzaDcWy2V6tghMG\nfRZ4p0AoDCR9VAT85y3cb4JThVDMFC36fAj5cNzvw5f/J6RTS9271tPMHG4mOV6IRoIaF0HN42YJ\nalyI+WlmXCxBDi9sIUIpFQY+DvQDFWAcuEZrPaSUSgObgV6gCnxVa/147XEH2ncu8EfAKuAftNa/\nOsDznwC8GzOV5HfAl7XWhYO1WwoRYn9yQmgfuVyOY445hieffJJkMrmozyVxcXi4+lvwtRugtwce\newoKBbAdyOUABd5poP4UGAPdD+G4j78D3GssrBCoDkjY5ncp4FUxGNkNp7warv4HaM7ludtHM3O4\nmeR4IRoJalwENY+bJahxIeanmXGxBDm8KIWIVwIPa621UuqtwGu01n+jlPowMKy1vlEptQG4HHiP\n1to9yL6XAVngw8CPXqoQoZSKAt8APqG1HlRKvR+osmJu8AAAIABJREFUaK2/ebB2SyFC7E9OCKIR\niYvgy03Cme+CWBQKRfjtMxCJQL4A5QpYUah+EpQPdgTcPoi4PvoOqNxnEVoOKFMNT9tQ0rA2DH02\nDO2BG6+GYzYsdS9FM8jxQjQicSEakbgQjQQ8LmZdiJjV+AytdQV4aMamp4Gzaj+/Fnhf7X7PKqVG\ngWOBRw+0T2v9DIA6+FdIrwa2aq0Ha7fvAD4HzKYQcdC+icOLxET7cF2XLVu2cPrppzdtaoYIrvsf\nhkoVerpgYKcZCWHbZn2IsAN6A+goMApWFzgarKoPvwEnCbYCZZk1JlAQUTDswboI2Bb89Bdw9FFL\n3cvW0swcbiY5XohGghoXQc3jZglqXIj5aWZcNDuHD6W4MtfWvA14QCmVBByt9diMfbuBngPtO8Tn\n6gH2zLi9B+hSStla632uQ6KU2oyZCgLAlVdeyaZNm+r7165dSzabxXVdcrnc1GPo6+ujVCoxOTlJ\nsVgEIBQK0d3dDcDIyAjVahWAWCxGIpEgGo0yODjI1IiSZDKJ4zikUim2b99ef87Ozk583yeVSjEw\nMDDdqZ4eKpUK8XicoaGh+vbe3l4KhQLhcJjh4eH69v7+frLZLJZlMTY2/SeVPh1anzo6OnAch0wm\nE5g+BfF1SiaTlEolLrvsMm688UY6OjoWtU9TJ4R169bJ6xTQPo2PQVdyhGSsSncKHCtGuZJg0o7S\nt3wQ1aPxc5Bzk7iuw4Sb4oi92yABXswi63ZiOz7ZSoq+xAAW4AMhq4dEvMLoaJytW+V1mtmnZcuW\n8ZGPfIQ77rijnmPt3qe1a9cyPj6O67r1FciD0Kegxd5S9CmdTuP7PplMJjB96uzsJJfLvehc3O59\nambs+b6PZVn09/cHpk9BfJ2a3aep7ZZlLXqfMpkMmzdv5tZbb60XCRbzddqwYfbDQw95scra2g4n\nYqZZhIHrtdZnzdj/18CvgV+91D6t9d0ztv0jB56acRawSmt9de12BLgZOGv/QsT+ZGqG2F/Ah0KJ\nOZK4CL7/dy989HOweiU89SwMj5qrXYxNmDGE+uXgvgfYC9Zq8NMQqvjwT1DVFk4HWBb42kzN8IGQ\nghM7YHAn/MWfwfsvWuJOiqaQ44VoROJCNCJxIRoJeFzMemrGIfW+VhTYCHxGa13WWucATynVOeNu\nKzDrQrzkvkN5ztr9l8+4vRwYPVgRQgjR3qrVKjfffHO9SivEfJx8PHTEYbIAy3tqUyyAcMj8rLYC\nk6DiYNUWr7QcUMcDBbMQpY+ZomEr8IDeELiembJxxqlL1rWWJTksRPuTPBaivbVyDs+6EKGUejvw\neuBTWuv8jF33Am+q3WcDsAx4fBb7Zuth4CilVF/t9luAnx/i7xBCtJlKpcJVV11FpVJZ6qaIAIjH\n4L+fB6Nj5udkAspliEYABX4FrJ+AlQS/DFYBCIE+AawY+DlAQ9yCsoawgh4bdu4yRYj165a4gy1I\ncliI9id5LER7a+Ucnu1VM7qBbwG7gGJtc1VrfZlSKgNchhnt4ALXaq0fqz3uQPvOwxQp0rXfWQE+\nrLWeUEpdgBn1cGftvicBf44pnLwAfGm/YkhDMjVD7C/gQ6HEHElcHB58H778dfjOLeBWYdcw5Ivg\neVB1zQKWvBH808EJA0kfFQN/0ML9Bjh5sz3kwGogrOHUk+Af/8aMthCHBzleiEYkLkQjEheikYDH\nxcJevrNdSSFC7C/giR8olUqF66+/nosuuohwOLyozyVxcfjQGp59Hm69Cx59AkYnTIEiFIJq1UzB\ncFZD5VUQfpkPCagqi1ARqo+AegTSVdiwBt7+Rjj+lWbtCPFizczhZpLjhWgkqHER1DxulqDGhZif\nZsbFEuSwFCJAChHixeSE0D7y+TybNm3illtuqa/UvVgkLkQjEhfz08wcbiaJC9FIUOMiqHncLEGN\nCzE/zYyLJchhKUSAFCLEi8kJQTQicSEakbgQjUhciEYkLkQjEheikYDHxeJcNUMIIZqlXC5z1VVX\nUS6Xl7opQog5kBwWov1JHgvR3lo5h6UQIYRoSZ7ncf/99+N5cqVeIdqR5LAQ7U/yWIj21so5LFMz\nxGEl4EOhxBxJXIhGJC5EIxIXohGJC9GIxIVoJOBxIVMzhBDtrVwuc8UVV7TkUDIhxMFJDgvR/iSP\nhWhvrZzDUogQQrQk3/cZHBysV42FEO1FcliI9id5LER7a+UclqkZ4rAS8KFQYo4kLkQjEheiEYkL\n0YjEhWhE4kI0EvC4kKkZQoj2ViqV2Lx5M6VSaambIoSYA8lhIdqf5LEQ7a2Vc1gKEUIIIYQQQggh\nhGgamZohDisBHwol5kjiQjQicSEakbgQjUhciEYkLkQjAY8LmZohhGhvxWKR97znPRSLxaVuihBi\nDiSHhWh/ksdCtLdWzmEpRAghWpJlWfT19QW1WixE4EkOC9H+JI+FaG+tnMMyNSNA8gXzL5WAaNRs\nczWMexBSkLJAzXqwTDAFfCiUmCOJC9GIxIVoROJCNCJxIRqRuFhcpRJkJ6Ejbv4BeB6MT5jPPJ2Z\n5n/20bXPXh6QscGpPX/Bh0kPkjZEWJi48DSMeWZkQUxBzocOC3yg5EPSgrw2cyXiCrI+xC1I2FNt\n1YyNjQGQyWTq7ZmcnKRQKJBOp4lEIofarFn/xZ1D/c2i9Tz2W7jh32DLvVCtmiLEaW+Ajj+Gn9mw\n1zUB+soYXLgMzkhKQUK0vkKhwMUXX8x1111HPB5f6uYIIQ6R5LAQ7U/yWLSi57fDjf8Gt2+BYhEc\nB049EZZ3wy8fhB27zP2OWgsXng1vPQNCocVtk6fh/07Ad0bh6RJoYKUDr0vAqAc/n4SKhoiCNyXg\nXcvg6DmmVN6DW8bhxlHYXjbFiJIPUQuqtcKDjXm+ULnAxKcuJv7Z60h1xOl04JRQmb5f/Yhf/eAG\ntm/fDsCaNWs4+eST2blzJ/fffz+u69LR0cGf/umf8s53vpM1a9Ys1J+qTgoRbe6un8EnP2+qb92d\nJsmyIfhqF7jPw9EroT9lKmNPleBjg/CuTvjYSilGiNZm2zYbN27Etu2lbooQYg4kh4Vof5LHotU8\n/Bh86FNQLEFXxnz+KRbh2z+EQhGOXAtH9Jn7Du2BK66Ce34Fn78cwuHFaZOr4dM74Y4JM+JgVch8\nCfxCBf5+lykQ/EHMjFYoa7gjCz/JwRfXwCmJQ3uurAeXvgCPFcBSsKtqig+uNiMebEwRxAfCwIS2\n0cduxFE2e13wyyW+/8WPMPnIfazpTLJ+9WoAnnnmGe6++24SiQTHHXcckUiEUqnEd7/7Xe644w6u\nueYajj322AX9u81qaoZSKgx8HOgHKsA4cI3WekgplQY2A71AFfiq1vrx2uPmtK/B858AvBvzmv4O\n+LLWunCwdgd9asYLO+Ad74N4FJK1INbAY38EE8vBGjcBesJxEKqVnCoadlfhytXwxvSSNX3JyBA5\n0YjEhWhE4kI0InEhGpG4EI1IXCys3CS89WIzAnxZ5/T2Z543RYeQA54Px78C4jGzz/PMCIkP/Xd4\n97sWp1037YUrd8Gq8PRUjJIPDxXM6ARPQ48Dx9TaZPk+Yx74yuJH62HZIQwN+PQO+PGEGW3xUMH8\nbqVMgcICXMxzKkwxwqr9bNem6Wdv+F/w42/S0duHqyz+MAYUcjz66KM4jkOlUqGvr4+jjjqq/px7\n9uwhnU7z4x//mOjU/P+XtihXzbgLeL/W+i+BB4AP1bZfAjyttX4f8GXgo0opZ577pnuiVBT4MPB3\ntfuOAucfQrsD60d3getOFyEA8p2mCBEpQDhk9g/vnd4fVhCz4Pq9ZhSFEK0qn89z5plnks/nl7op\nQog5kBwWov1JHotW8tNfQDa3bxGiUoHdwxAJmyka2oddw9P7bRs602Yae6Wy8G1yNXx7FFIz1oMA\n88Wvr806fWELhl1TnJjSaZt1I+6cmP1zDVfhziyscMx0j6o2v7vkT3/6nxoNoaZ+LubxPngmbiFP\ntZjHu/tmvPQynFpxbGcVhoaG0Fpj2zbhcJhdu3bhum79eXt6ehgeHuaee+6Z41+psVnVX7TWFeCh\nGZueBs6q/fxa4H21+z2rlBoFjgUence+mV4NbNVaD9Zu3wF8Dvjmwdo9VYUMqi33QippRj1Mya0A\nS4NTKzKELBjbC3090/fptuDpIuyuwPJFni/VaoIeE0Fi2zZnn302tm0v+usmcSEakbiYn2bmcDMF\nqS9i4QQ1LoKax80if7OF9f9+CdHIvp99Jgtg2dNrQEQiMDoO69dO3yeVgJ174Mln4RXHLGybni/B\nnoqZjqFmvNyjVTM1wtZmuoSnIedC3AFLmzvGFWyZMNPmZ+PXecCHqA1jVfN5z/JN8SWEKTxopkdE\nOAC2jTrjbCzbxn32URy3DJllaGWmjIz5oMbGiEQi2LaNbduUSiXy+TydndMNC4VC3HPPPfzxH//x\nAdt4KKN/5rpGxNuAB5RSScDRWo/N2Lcb6JnrvgbP1QPsmXF7D9CllLK11t7MOyqlNmOmewBw5ZVX\nsmnTpvr+tWvXks1mcV2XXC439Rj6+voolUpMTk7Wr7EaCoXo7u4GYGRkhGq1CkAsFiORSBCNRhkc\nHGRqaksymcRxHFKpVH3RD4DOzk583yeVSjEwMDDdqZ4eKpUK8XicoaGh+vbe3l4KhQLhcJjh4ely\nXn9/P9lsFsuy6qubRhxw7LVEnCxKuYScHMs0VLKKcdVHxC/RWZ4k7RVJDoHvhCilurGBrtERtqkq\nuVBr9WmxX6eOjg4cxyGTyQSmT0F8nab6dMkllzSlT1NvFNatWyevk/Sp3qdt27YB5qQalD41+3Xa\ntGkT4+PjgerT+Pg4ruvWvyEOQp+CGHvN7lM6ncb3fTKZTGD6NPU6XXTRRYHrU7Niz/d9LMuiv78/\nMH1aytepWu4hGa9gW3HiEdMnrwqxcC/pRIGqGybdYfqUjEG+1E/IyYK2WN45xs4dEA8vbJ+KOkrP\n7kFStulTNZZE2w6KFGtGtmPXiibDsU5iFR8rmSI5XOurtvCX9TAyMrvXaXgSbKufSDFLvGKRzI5h\nK+j0YaBrLYlSFuW7pEqmT75S7Mj0kTjzXOL5ETpyQ/i9PVTjHZRKJWwFiViUcO3ynpVKhWKxWD+W\nJZNJ06dqlWQySbFYZOvWrQd8nTZs2MBsHfLlO5VS5wInApdjCj3Xa63PmrH/r4FfA7+ayz6t9d37\nPd9ZwCqt9dW12xHgZuCs/QsR+wv6GhEf+IRZsGXFjPLNnrXw1EaI1kbQlUrQuxw2HDl9n4JvhvBs\neZmphB1OZK5e+8jn85xxxhn89Kc/paOjY1GfS+JCNCJxMT/NzOFmkrgQjQQ1LoKax80S1LhYKv90\nNXzvx7B65fS2bA4efcKMhFAKyhUzAuIPfm/6PtXaVPXb/hVWrXzRr52XURfOfBa6bDNNYsoTRbMv\nUttW8uEVMeh0zBoRAIOuxZvT8LnVs3uuXxfg3b+D1SHYVoHBirkKx4RvpoEozBoRGrP+gg+oYh7+\nxxlY1/yU2Nhuih87G5b10hmx8WpX8bCe/nW96KG1plwuc/zxx++T84ODg7z73e/mgx/84MGauShr\nREwVBTYCn9Fal7XWOcBTSs0cULICGJ7rvgZPOwwsn3F7OTB6sCLE4eCct5rEmjnqa9kOsKvghsww\nHYCVy/d93EgVNmUOvyKEaC/hcJjNmzcTXqwljoUQi0pyWIj2J3ksWsmfvAHQZg28KcmEWZiyWjX7\ntP/iYsPwXjjl1QtfhADocuCMFOxx993eG6pNldBmLYeIBZkZF5/xMIWCt2dm/1zHxWBtGPZ6sLw2\nr0EDEaanZcD05TsBVCiMdcFmCIWJ9K/DOvoPscaHsTDTRfrCsGrVKjzPQ2tNpVIhmUzuU4SoVCoo\npXjrW986+8bOwqw/iiql3g68HviU1nrmijX3Am+q3WcDsAx4fJ77ZnoYOEopVbsQC28Bfj7bdgfZ\nqSfBSX8Ig0PTCWm7cOQjUAlDXpvr6SZrceRrGKrAihBcsGzp2i3EbIRCIc455xxCi33hZyHEopAc\nFqL9SR6LVvLy9fC2N8DO3dMLTyoFR601X8xOFsz6ectqH+61hj17zboSl16yeO16XzckLLNA5dRk\ng4xtFqTM++D6cFRtxAaYS1DuqJgCxqvis38eS8FHV5qrILoaVobM5UBDylwVY+oqGVOjIWxAOSH0\nGecQD4fwUEQv+CsitsXk6AgdlqbHMdN4kskk+XwerTVHHjk9lL5UKrFr1y7OP/98jjjiiIX4c9XN\n9vKd3cC3gF1Asba5qrW+TCmVAS7DjGhwgWu11o/VHjfXfRdgRj3cWbt9EvDn1C7JCnxpv2JIQ0Gf\nmgEwmYfPfsmsIjtzZET2FeC9DTqXUx8go4Cjo+bSnUdElqK1S0+GyLWPyclJTjrpJB544AESiUO8\nyPIhkrgQjUhczE8zc7iZJC5EI0GNi6DmcbMENS6WUqUCV/0L/OAOc2nOqY+y+YKZlpFJT88NsCwz\njePv/xr+4PcXt11PFuFvdsD2iikCgGnbuGemP3TUhigowNE+f5KGj62y5jRC/Wc5+NyQWRBzj2ue\nw9dmlIWtzPNOFSLcwiTeJScRue4Bwh0JVoZAPfEgxWs+RSa7B+WbSQa+7zMxMUEsFiMWM9cZVUrh\nOA4XXnghl156KY4zq+UlZz0145DXiGgnh0MhYsrvBuAXD8BEFrqXwetPhmS3CdTttflDr+4wQ3rU\nrMMjeOSE0D5c12XLli2cfvrpsz3wzZnEhWhE4mJ+mpnDzSRxIRoJalwENY+bJahx0Qp2D8PP7oOR\nvZBOwWtPhFUrzOehZ7eBsuDYo+HkV5nLejaDp+HBPDxWNNMxjorAf0uaS3f+PGcuubnMgdfFfVaF\n5xcXJR9+MQnPlWCytv5f0oJCba2ImAVZD2La5Zmfb2H1a06nK+KQdmBjB6yzq9x33308+eSTABx9\n9NG85jWvYfv27dx3333kcjlWrFjBaaedVl+sc5akEAGHVyFCzI6cEEQjEheiEYkL0YjEhWhE4kI0\nInEhGgl4XCzOYpVCCNEsuVyOvr6++mWVhBDtRXJYiPYneSxEe2vlHJZChBCiJcViMW6++eb6PDUh\nRHuRHBai/UkeC9HeWjmHZWqGOKwEfCiUmCOJC9GIxIVoROJCNCJxIRqRuBCNBDwuZGqGEKK9ZbNZ\nUqkU2Wx2qZsihJgDyWEh2p/ksRDtrZVzWAoRQoiW1NHRwf33309HR8dSN0UIMQeSw0K0P8ljIdpb\nK+ewTM0Qh5WAD4UScyRxIRqRuBCNSFyIRiQuRCMSF6KRgMeFTM0QQrS3bDaLUqolh5IJIQ5OcliI\n9id5LER7a+UclkKEEKIlJRIJBgYGSCQSS90UIcQcSA4L0f4kj4Vob62cw1KIEEK0JKUUqVQKpWY9\nwksI0UIkh4Vof5LHQrS3Vs5hKUQIIVpSLpcjnU6Ty+WWuilCiDmQHBai/UkeC9HeWjmHZbFKcVgJ\n+OIwgaK1JpfLkUwmF72KK3EhGpG4mJ9m5nAzSVyIRoIaF0HN42YJalyI+WlmXCxBDstilUKI9qa1\nJpvNEuRiqRBBJjksRPuTPBaivbVyDsuICHFYCXJleiILTzwNng+2Zf4HsCzwPLAUoEBr6F8FR/Qv\naXMPKpvNkk6nmZiYIJVK7bNvfAJ++4zpo6XM/0pN99VWWXT1CbR2WbNmDWvXrj3gcwU5LsTcSVzs\nS2t4qgTDLsQseGUMIhbsGYFnnjf3edmRsLzb/HygHG4nJR8eK5r/HQVu7eBqWxYeYAMa8AEnC/4O\nc9taDV7K/I1eEYO4hFGgBfV4EZQ8XipBjQsxP82MiyXI4VmPiJBChDisBPGEMJGFq/8VfvQTmMzD\n7hHI5yHkgK/B983PrgeOAz3LINkBJx4Hf/VeOGbDUvdg9iay8JVvwm13mz7uHoF8AUIh0D54Xo5Q\n+RrcyX/DcaosX6ZIdHicdNJJfOQjH+Hoo49u+HuDGBdi/iQupt07CV/ZA8+WwK4VNCMTkL4d9jxs\nCoEAaDjjVPjwe6B3xZI2ed6qGr41AjeMwqhrCjBZDyKYuChpi7ACF2AcnNuh+gg4/aBeB9UVkIpD\nTzdkInB+F7y3G8ISToEkxwvRiMSFaCTgcbGwhQil1PuAk4DlwIe11s/Xth8PXAg4QBm4Wmu9rbZv\nA/BeIIb5cuAbWuvHavtWAR8AMpgvE27SWv/iJZ57FfARIAXkgS9rrV+YTeekECH2F7TEz03CX3wc\nnngWohHzraT2TdGhWDL3sS1zOxyCeMz8vHY1RMIQicBX/xFe+XtL249GPM/jqaee4uUvfzm2bZPN\nwfs+Dk8+B7EIPL3VFFq8qb7qPHb2A3jl3xCK9BCPx/A8WLPaJWzvIRqN8rWvfY1jjz32Rc8VtLgQ\nC0PiwrhzHC7fab7Z77LNKKTSXvj1lVAYgVU9cEzSvPOoVGDPXljRA1//vEd2fDqH24mr4W93wL9P\nQIcFz5WhXHu7VPJ8NKCUhQuoCVD/G/xhcF4J7psADR1FUFVz7H3ZMTDpwGlJ+EKfGVkhgiWox4v9\nz8Xi0AQ1LsT8NDMuliCHF3yNiPuAvwb21J9BqQRwGfAlrfVfAt8CPlrbp4DLgRtr+/4J+IhSKlx7\n+F8Bv6jt+xvgz5VSy17iuS8F7tJa/wXww9pjhRDAt38Ajz8NfSth+6D5ltJ2oFQ2BQitoeqCY5sC\nhOeZAsQLOyGVNPs+80UzaqLV5PN5Nm7cSD6fB+Bb34MnnzV93TZgqpuODeWpvhZupFp6FDvcj+ub\nIkQ4BC/sdMh0rqJarXLFFVe05Bw5IVrVhAef3QVJG7qd2hQvYNsPoDoKyRUwosyIAYBwGPp6Yfcw\n/PM1++ZwO9mShZ9kYXUYdrumCBFWUPDNGycLqGC+SfHvAG8YrBVQOR2UC3YBitoUeytV2DkAq0Pw\nHzm4a2Jp+ybEodj/XCyEaC+tnMOzKkRorR/XWo/st7kXyE2NTtBaPwH0KKWOApJAWmv9aG3fDmAS\neHXtseuAh2r7JoBtwKn7P69SKg1sAP6jtum+2nP0zraDQgRVqQTfvw2WdcJEDopF88G7XG5cirQU\nFMtmHQU07BqG5cvgdy/Aw481u/UHl0qlyGazpFIpikX4wR2mr+NZ0/dwyBRcjAoUvwuqE1DmG9v9\n+trT08PWrVt55JFHlq5TQrSZf58wayOkZnyJUh6DkYcgkjHHGgXsqO77uOXd8MuHUzzzXLYt55Xf\nOAoRZaZnjLimCFHV1EZCmP8B/Bzoh0CnQR8BRMAvTR+Dy9oUf0fHoFo2a2t8Z9QUiYVoBzPPxUKI\n9tPKOezM47E7gaRS6hit9ZNKqZMw0zBWaK23KqVGlVKv1VrfW5um0YeZ2gHwHHAa8EOl1ErgGGB3\ng+foAUa11h6A1lorpYZr24cO1kC/Fb/mFUsqSDHxwiBMFmDVcti5CyzbrAHha/O/YvrNrm2Bssy0\nDaXMt5a5SbPdsuCp5+D4Vy5pd17EdV0efPBBTjjhBLYPOBRL0LXCrBMx1Vc91VdvENQE2lmFbanp\nvlrTfXUcC9u2eeqppzjuuOP2ea4gxYVYOBIX8MgkhAFrxp+iOGiOG6GIuR0F8np6tARANAyWcrnl\n1gd5zyUn4DjzebvRXK6GJ4uwzIacB46GkIKyDyENtjZ/DAewhswxVUVALQelzbHXxnzTo7UZueUp\nKOShqxO2FiHvyeKVQRPU48XMc3E75XGrCGpciPlpZlw0O4cPZbrJnFujtc4rpa4ELlJKxYCngAHA\nq93l74BLlFLnAC8Av52x70vAu5VSX8FM9/gNMO9XRCm1Gdg8dfvKK69k06ZN9f1r164lm83iui65\nXG7qMfT19VEqlZicnKRYLAIQCoXo7jZLf4+MjFCtmq97YrEYiUSCaDTK4OBgfZh3MpnEcRxSqRTb\nt2+vP2dnZye+75NKpRgYGKhv7+npoVKpEI/HGRqarqn09vZSKBQIh8MMDw/Xt/f395PNZrEsi7Gx\nMenTHPvU0dGB4zhkMpm279PQTk1PGqKhJPGog22l6OvZTmeHefM7njN9yuZTHNE7UP9wXvZ6sOwK\nWsdJxoZYnoHCJBQKS9+nmbFXKpU477zzuO222xjPJliegYjTSSLmE3JS9PUM1Pu6d28JqytBvmTT\nt6qj3tdCsUAo5GDbPslklJ6eHvL5PJVKZZ8+TZ0Q1q1bJ/kkfar3adu2bYA5qQalT4f6Olk7hugu\nmqkZha5enHKBSCXMms5hwh3m/juL/STtLBHHIhya7hO6i09ffg5v+KOf19vSCn062OvkabDdfqL5\nLK62WDM6RsiCogfbutaSKY6jfJdYOY/Kg9+l2GH1EdMl4vlJ4vkitoKKCpGNdBPV0FUcYdlwlUQJ\nSlaMXDaBEz+88inofUqn0/i+TyaTCUyfOjs7yWaznHvuudx+++0kEolA9KmZsef7PpZl0d/fH5g+\nBfF1anafprZblrXofUqn05x77rls2bKlvkbEYr5OGzbMfhX8Q7pqhlLq/wB/P7VY5X77QsC3gY9o\nrV80WkEp9VXgWq31bxrs+5/AvVrru/fbnga+DrxTa+3V1p64Hvh4o+fYnyxWKfYXpEWDSiV4w7vM\nqIaqC489aRasLBRr0zOUWRdCa3PVDAAUdKbNY1evhCPXwo5d8C+fhxOOO+DTLalCEc58p7k6RrkC\njz9l5l7nC2ZxPKUquLvfiNY+oXASMP3PpMwUjb5eOKLfZ+fOnXzjG9/g+OOP3+f3BykuxMKRuIDv\njcKVu6AvPL2tPAb/+XEIpcAKmekHadtcznNKpQojo3D7de159YyLtsEzJVOA+c+8mZpR0ZD3IYyP\np6GiLOwceJ8BEmAfA95/A5UzIyh8zKiHCOa4dcJxkHdgTRi+u27GlUZEIMjxQjQicSEaCXhcLPhi\nlY2fRamuGTfPB34zVSCYuU8pdSZQAqaumpH3WzZGAAAbrUlEQVSpFRVQSr0KWAP8/+3df5Bdd3nf\n8fezP2RJq11JtmQjW4qxiSa4DmSKAbs2A25wByilAwbzKwwlqXFIXKAWKSUltEobj53pRMGmKZjI\nQOIOM60aBkKb4I5JcUpRPUkpeEzsJrWNLYGMJWx5Vyvt76d/nLPSen0kre+ic+85+37N3NHec+7d\ne76+n+fe62e/33PvXfz7y/NHPAxcXW66Eji0lCaE1HarV8Pb3wQ/Pgzrh2Ht6uLD/1mrqm8/l8W3\nTczNAQEvOBcO/hheuLX3lmVAMZXs7rvvZmZmhrVr4K1vhB8/XYx19VkwPV38W1gFa98J+RSQzGWx\nb67ss77gXDh48CAXX3wxL3vZy7o0Iql5XjdSfFvG2OyJbWdthE2XwdTh4lwJCZw/+Oz7PXkIXv3K\nGe7/TlHDTfPus2GiXJKxaaBoQqyKE0ve5j9l9Q1DXFZ+c8b3gUnoW33iHBJnRdGEOHsDrDqrONnl\ne862CaHmWPheLKl5ermGl9SIiIgbI+ILwCbgX0fEZ8tdvxARnymvbwZuX3C310XEHeW+V1LMpJh/\nb34lcEdEfAZ4G7AzM6fKx7o8Ij604Pf8O+ANEXFHedvbOhqp1ELvfRv8re3FrIYXbis+HM/OFrMF\nZueKNduDA8XPA/3Q3198KN62BUaPFOda2PmR8qSOPWZiYoIdO3YwMVF8D+kvvgN+5kXwwx8VYwWY\nmVkw1rXvZmD1S5id2sdAHKO/v5gt8VPnz/DM4QMMDAywc+dOwv8DkJZswwB84gUwOluctHG+uffC\nt0H/Rhh7Es5JOKecdTU1DfsPFCer/JX3PruGm+SakeLyg2k4b+DEjIg15Ykq5yjOnTEL9L0R+jfB\n3BOw6s8gB2F2bXHbycnixLpbLix+19Xr4PXruzs26flY/F4sqVl6uYaf19KMpnFphhZr41SoZ0bh\n9jvhq/fA+Dj86FCxZGH+ZI5zc8XPszPFv5vPgeF1xSyIm94Pl/5Mt0ewdIefgdt2w3/9enGizifL\nsQ6WJ+mcmx1jcOJTTI9/hcGBWTafAyPr5rjsssvYsWMHl1xySeXvbWMutHzm4oQ/H4Pbn4RHJqE/\ninpbdRhGvgqH/s+Jv/Bnwt+9snhtuaDh3281NQd3Hiq+QePwLBycKRoyZ5WntJrIvmIJRkAehv6v\nwMx3oP+nIF4DM5theC2ctxlGzoJ3nA03bCpmmKh9fL1QFXOhKi3PxZL/4mcjQitKmwv/qafhr/6m\nmBFxXABlM6Kvn+PzhbedX5wfopdNT0/z5S9/mTe/+c0MDj573nfVWCNONF764zA5/T1ghm3btnHx\nxRef8rHanAt1zlw8WyZ8b6KYGbGmD35uDazugyeehL8uzxy1/aIT54Q4VQ03ydE5uP9osVSjL0/k\nIvr7SMpvxygv8QzE/vKl9nzIjcXyjJeugaH+kz6EWqCtrxdtqeNuaWsutDx15qILNWwjAmxE6Ll8\nQ2iO8fFxrrnmGu655x6GhobO6GOZC1UxF8tTZw3XyVyoSltz0dY6rktbc6HlqTMXXahhGxFgI0LP\n5RuCqpgLVTEXqmIuVMVcqIq5UJWW56Keb82QpDNlamqK3bt3MzU11e1DkdQBa1hqPutYarZermEb\nEZJ60vT0NHv27GF6errbhyKpA9aw1HzWsdRsvVzDLs3QitLyqVDqkLlQFXOhKuZCVcyFqpgLVWl5\nLlyaIanZJicn2bVrF5OTk90+FEkdsIal5rOOpWbr5Rq2ESGpJ83OzrJ3715mn/V9pJKawhqWms86\nlpqtl2vYpRlaUVo+FUodMheqYi5UxVyoirlQFXOhKi3PhUszJDXb5OQkO3fu7MmpZJJOzxqWms86\nlpqtl2vYRoSknjQ3N8f+/fuPd40lNYs1LDWfdSw1Wy/XsEsztKK0fCqUOmQuVMVcqIq5UBVzoSrm\nQlVanguXZkhqtomJCXbs2MHExES3D0VSB6xhqfmsY6nZermGbURIkiRJkqTauDRDK0rLp0KpQ+ZC\nVcyFqpgLVTEXqmIuVKXluXBphqRmO3bsGNdffz3Hjh3r9qFI6oA1LDWfdSw1Wy/X8MBSbhQRNwCX\nA+cCH87MR8rtlwHvKX/PJPB7mflouW878H5gDZDA7sy8v9x3PvBPgHXAKuAvgM9lxfSM8rY3ASPA\nOPDJzHy80wFLaoa+vj62bt3a1m6x1HrWsNR81rHUbL1cw0tamhERPws8Afw2cHNmPhIR64DPAh/L\nzMcj4lLgVzPzxogI4PMUTYPvRMQFwG8Bv5yZUxHxG8B3M/OrEbEK2AV8ITP/suKxbwb+LDO/HhFX\nAW/NzB1LGZxLM7RYy6dCqUPmQlXMhaqYC1UxF6piLlSl5bn4yS7NyMwHMvPQos1bgLH52QmZ+T1g\nc0S8CBgG1mfmd8p9PwCOAC+f/5XAUPnzKooZFU89ZxQR64HtwDfKTd8qH2PLkkYnqbGOHj3Kdddd\nx9GjR7t9KJI6YA1LzWcdS83WyzW8pKUZJ/FDYDgiLsnMByPicoplGOdl5sMR8VREvCozv1ku09hK\nsbQD4PeBT0TEGyiWZ/zH+eUei2wGnsrMWYDMzIg4WG4/cLoDnO82SfPMRHNEBFdccQURccafN3Oh\nKuZieeqs4Tq1aSz6yWlrLtpax3Xxv5mq1JmLumv4+czyeF7fmhERd1IuzSivvxR4F0UD4iHgpcAf\nZOZ9EXER8D5gA/A4cDbwv8rlGO8DxjNzTznr4Rbgs/MzKBY83k8Dv5aZH1iwbX4Zx/0Vx7cDOL5s\n49Zbb73g2muvPb7/wgsvZHR0lJmZGcbGxubvw9atW5mYmODIkSPHT+QxODjIpk2bADh06BDT09MA\nrFmzhnXr1rF69Wr279/P/H+/4eFhBgYGGBkZ4bHHHjv+mBs3bmRubo6RkRH27dt3fPvmzZuZmppi\n7dq1HDhwoqeyZcsWjh49yqpVqzh48ODx7du2bWN0dJS+vj6efvppx9ThmIaGhhgYGGDDhg2tGVMb\nn6e6xzT/wnzRRRe1ZkxtfJ7qHtOjjz4KFG+qbRlTG5+nusd0+PBhZmZmGB8fb82Y2vg81T2m9evX\nMzc3x4YNG1ozpjY+T3WPaW5ujr6+PrZt29aaMbXxeap7TPPb+/r6WjOm+edp+/btS16asaxGxKJ9\ng8BdwE2Z+ZzZChHxaeAzmfndiNhDcb6Ip8p9vwRMZ+Zdi+6znmL2xLsyc7Y898QfAh+teozFPEeE\nFmv5mqxWGR8f59prr+VLX/oSQ0NDp7/DMpgLVTEXy1NnDdfJXKhKW3PR1jquS1tzoeWpMxddqOF6\nvr4zIs5ecPWdFCegPLB4X0S8DpgA5mcxPAFcVu5bDbwEeIxFMvMZ4GHg6nLTlcChpTQhJDXb4OAg\n1113HYODg90+FEkdsIal5rOOpWbr5Rpe6rdm3Ai8AtgIjAFHM/OGiPggcClFQ+Mh4I7MHC/v8y6K\nBkIA+4BPz5/wMiIuBj5AsaRjALiPYklHlueauDwzby9vewHF13cOA0eB2zLz+0sZnDMitJidaVUx\nF6piLlTFXKiKuVAVc6EqLc/FmVma0TQ2IrRYywu/VcbHx7nmmmu45557XJqhrjAXy1NnDdfJXKhK\nW3PR1jquS1tzoeWpe2lGzTW85EZE/86dO8/gcXRXZu4sTishFeYbb+ai90UEGzdu5NJLL6W/v/+M\nPpa5UBVzsTx11nCdzIWqtDUXba3jurQ1F1qeOnPRhRr+zaXe0BkRWlHsTKuKuVAVc6Eq5kJVzIWq\nmAtVaXku6jlZpSSdKUeOHOHSSy/lyJEj3T4USR2whqXms46lZuvlGrYRIaknrV69ml27drF69epu\nH4qkDljDUvNZx1Kz9XINuzRDK0rLp0KpQ+ZCVcyFqpgLVTEXqmIuVKXluXBphqRmGxsbY+vWrYyN\njXX7UCR1wBqWms86lpqtl2vYRoSknrRmzRr27NnDmjVrun0okjpgDUvNZx1LzdbLNezSDK0oLZ8K\npQ6ZC1UxF6piLlTFXKiKuVCVlufCpRmSmm10dJSRkRFGR0e7fSiSOmANS81nHUvN1ss1bCNCUk8a\nGhpi7969DA0NdftQJHXAGpaazzqWmq2Xa9ilGVpRWj4VSh0yF6piLlTFXKiKuVAVc6EqLc+FSzMk\nNdvo6CgR0ZNTySSdnjUsNZ91LDVbL9ewjQhJPWndunXs27ePdevWdftQJHXAGpaazzqWmq2Xa9hG\nhKSeFBGMjIwQseQZXpJ6iDUsNZ91LDVbL9ewjQhJPWlsbIz169czNjbW7UOR1AFrWGo+61hqtl6u\nYU9WqRWl5SeHaZXMZGxsjOHh4TPexTUXqmIulqfOGq6TuVCVtuairXVcl7bmQstTZy66UMNLfpCB\nJf22iBuAy4FzgQ9n5iPl9suA95S/ZxL4vcx8tNy3HXg/sAZIYHdm3l/u+zhw3oKHeCFwc2beV/HY\n5wM3ASPAOPDJzHx8qQOU1EyZyejoKOvWrfPDj9RA1rDUfNax1Gy9XMNLbcN8C/jnwJPzGyJiHfAR\n4Hcz84PA54FfK/cF8HHgi+W+3wZuiohVAJl5c2Z+KDM/BHwKOAL875M89o3A1zLzl4E/Av7p8xui\npCY6cuQI27Zt48iRI90+FEkdsIal5rOOpWbr5RpeUiMiMx/IzEOLNm8BxuZnJ2Tm94DNEfEiYBhY\nn5nfKff9gKLZ8PKKX//3gP+emTOLd0TEemA78I1y07fKx9iylOOW1FwjIyNkJiMjI90+FEkdsIal\n5rOOpWbr5Rpe0tKMk/ghMBwRl2TmgxFxOcUyjPMy8+GIeCoiXpWZ3yyXaWylWNpxXDlD4tXAx07y\nGJuBpzJzFiAzMyIOltsPnO4A59ffSPPMRHPMzs7y0EMP8eIXv5j+/v4z+ljmQlXMxfLUWcN1Mheq\n0tZctLWO69LWXGh56sxF3TX8fM570XEjIjPHI+JW4L0RsQZ4CNgHzJY3+S3gfRFxHfA48FcL9s27\nCvhhZn6/0+NYKCJ2ADvmr996661ce+21x/dfeOGFjI6OMjMzc/zMoRHB1q1bmZiY4MiRIxw7dgyA\nwcFBNm3aBMChQ4eYnp4GYM2aNaxbt47Vq1ezf/9+5k/2OTw8zMDAACMjIzz22GPHH3Pjxo3Mzc0x\nMjLCvn37jm/fvHkzU1NTrF27lgMHTvRUtmzZwtGjR1m1ahUHDx48vn3btm2Mjo7S19fH008/7Zg6\nHNPQ0BADAwNs2LChNWNq4/M0PDzMsWPHuOqqq7j33nuPf/fxmRrT/BvCRRdd5PPkmI6P6dFHHwWK\nN9W2jKnO52njxo1ceeWVfPvb3z6+reljuvDCCzl8+DAzMzOMj4+3Zkxty143xrR+/Xrm5ubYsGFD\na8a0ceNGnnnmmee8Fzd9THVmb25ujr6+PrZt29aaMbXxeap7TPPb+/r6zviYRkZGuOqqq7jvvvsY\nGBg448/T9u3bWarn9a0ZEXEnxUklH6nYNwjcBdyUmc+ZrRARnwY+k5nfXbDtFuDezPzaSR5vPfD7\nwLsyc7Y898QfAh+teozF/NYMLebZi1XFXKiKuVAVc6Eq5kJVzIWqtDwXSz4j5rJGHxFnL7j6TuC7\n8w2Chfsi4nXABHD/gm1bgJ8G/vxkvz8znwEeBq4uN10JHFpKE0JSs83MzLB3715mZp5z+hhJDWAN\nS81nHUvN1ss1vKQZERFxI/AKYCMwBhzNzBsi4oPApRQNjYeAOzJzvLzPuygaCEGxZOPTC094GRHv\nBc7JzN9d9FiXA5dn5u3l9Qsovr5zGDgK3LbUpRzOiNBiLe9AtsrY2BiXXHIJDz74IMPDw2f0scyF\nqpiL5amzhutkLlSlrbloax3Xpa250PLUmYsu1PCSZ0Q8r6UZTWMjQov5hqAq5kJVzIWqmAtVMReq\nYi5UpeW5qGdphiSdKTMzM9x99909OZVM0ulZw1LzWcdSs/VyDduIkNSTJiYm2LFjBxMTE90+FEkd\nsIal5rOOpWbr5Rp2aYZWlJZPhVKHzIWqmAtVMReqYi5UxVyoSstz4dIMSc02PT3Nnj17jn+3saRm\nsYal5rOOpWbr5Rq2ESGpJ01NTbFr1y6mpqa6fSiSOmANS81nHUvN1ss17NIMrSgtnwqlDpkLVTEX\nqmIuVMVcqIq5UJWW58KlGZKabWpqit27d/dkB1fS6VnDUvNZx1Kz9XIN24iQ1JN6eU2bpNOzhqXm\ns46lZuvlGnZphlaUlk+FUofMhaqYC1UxF6piLlTFXKhKy3Ph0gxJzTY5OcmuXbuYnJzs9qFI6oA1\nLDWfdSw1Wy/XsI0IST1pdnaWvXv3Mjs72+1DkdQBa1hqPutYarZermGXZmhFaflUKHXIXKiKuVAV\nc6Eq5kJVzIWqtDwXLs2Q1GyTk5Ps3LmzJ6eSSTo9a1hqPutYarZermEbEZJ60tzcHPv37z/eNZbU\nLNaw1HzWsdRsvVzDLs3QitLyqVDqkLlQFXOhKuZCVcyFqpgLVWl5LlyaIanZJiYm2LFjBxMTE90+\nFEkdsIal5rOOpWbr5Rq2ESFJkiRJkmrj0gytKC2fCqUOmQtVMReqYi5UxVyoirlQlZbnwqUZkprt\n2LFjXH/99Rw7dqzbhyKpA9aw1HzWsdRsvVzDNiIk9aS+vj62bt3a1m6x1HrWsNR81rHUbL1cwy7N\n0IrS8qlQ6pC5UBVzoSrmQlXMhaqYC1VpeS5cmiFJkiRJknqPjQhJkiRJklQbGxGSJEmSJKk2NiIk\nSZIkSVJtbERIkiRJkqTa2IiQJEmSJEm1sREhSZIkSZJqYyNCkiRJkiTVxkaEJEmSJEmqjY0ISZIk\nSZJUGxsRkiRJkiSpNjYiJEmSJElSbWxESJIkSZKk2tiIkCRJkiRJtbERIUmSJEmSamMjQpIkSZIk\n1cZGhCRJkiRJqo2NCEmSJEmSVBsbEZIkSZIkqTY2IiRJkiRJUm1sREiSJEmSpNrYiJAkSZIkSbWx\nESFJkiRJkmpjI0KSJEmSJNXGRoQkSZIkSaqNjQhJkiRJklSbyMxuH8MZExE7MnNXt49DvcVcqIq5\nUBVzoSrmQlXMhaqYC1UxF+1vROzPzK3dPg71FnOhKuZCVcyFqpgLVTEXqmIuVMVcuDRDkiRJkiTV\nyEaEJEmSJEmqTdsbESt63Y1OylyoirlQFXOhKuZCVcyFqpgLVVnxuWj1OSIkSZIkSVJvafuMCEmS\nJEmS1ENsREiSJEmSpNoMdPsAzoSIOB+4CRgBxoFPZubj3T0qdUNE3AlMA1Plpj2Z+T/MyMoSETcA\nlwPnAh/OzEfK7SfNgRlpv1PkovJ1o9xnLlosIlYBHwW2UTz/h4F/n5kHImI9sAPYQpGPT2fmA+X9\nTrpPzXeaXNxC8RoyXt7865n5lfJ+5qLlIuLfABuABI4Bd2TmI36+WNlOkQs/XyyUma27ADcDry1/\nvgrY1e1j8tK1LNwJXFyx3YysoAvws8CmxXk4VQ7MSPsvp8hF5euGuWj/BVgFvJwT59D6B8At5c8f\nBt5d/rwd+AIwcLp9Xpp/OU0ubgGuOMn9zEXLL8DQgp//DvCp8mc/X6zgyyly4eeLBZfWLc0ou8/b\ngW+Um74FbI6ILV07KPUUM7LyZOYDmXlo4bZT5cCMrAxVuTgVc9F+mTmVmX+Z5SdB4P9S/LUb4FXA\nn5a3+xvgKYpm1un2qeFOk4tTMRctl5njC66uBdLPF6rKxaluv1Jz0calGZuBpzJzFiAzMyIOltsP\ndPXI1C03RUQAfw38AWZEhVPl4Ogp9pmRleFZrxuZ+Qy+dqxEbwLui4hhir9kP71g348oPiiedF+N\nx6l6vQm4b8H190XEe4B9FK8XT5iLlSMidgAvKa/+Jn6+EJW5mOfni1IbGxHSQh/LzIMRMQC8h2Lt\n1X/o8jFJ6m1Vrxs7u3tIqltEvB04H/g4xdR8aXEuAH4nMw+V/2PxRuBfAr/areNT/TJzF0BEvBZ4\nH37OFJW52ImfL56ldUszgIPA2RHRD1C+MWwut2uFycyD5b8zwB8Dl2JGVDhVDszICnaS1w0wFytG\nRLyFYl3vv8rMycwcA2YjYuOCm50HHDzVvvqOWHVYnAuA+eVdWfgvwAsiYthcrDyZ+XWKv4Afws8X\nKs3nonxd8PPFAq1rRJTTWx4Gri43XQkcyszWTmtRtYhYHRFDCza9GnjYjAhO/VphRlauk71ugO8v\nK0VEvBl4DfCJRet8vwm8obzNduAc4IEl7FMLVOUiIvojYsOC21wJHC6bEGAuWi0ihiLi7AXXrwDG\nAD9frGCnyMW0ny+ebf7sv60SERdQTHUZpliLdVtmfr+rB6XaRcQLgF+naLgF8ATw2cx80oysLBFx\nI/AKYCPFm8HRzLzhVDkwI+1XlQuKadWVrxvlfcxFi0XEJuDzFM/7sXLzdGZ+pPwfzo9Q/FV7BvhM\nZt5f3u+k+9R8J8sFxfKMW4BBipPRjQK7M/PR8n7mosUi4lzgYxRLt5KiAfG5LL6m0c8XK9TJckHx\nXPv5YoFWNiIkSZIkSVJvat3SDEmSJEmS1LtsREiSJEmSpNrYiJAkSZIkSbWxESFJkiRJkmpjI0KS\nJEmSJNXGRoQkSZIkSarNQLcPQJIktUtE3AK8GJgB5ii+E/1h4O7M/ItuHpskSeo+GxGSJOlM+FJm\n3gUQEeuBq4CPRsQfz2+XJEkrk40ISZJ0RmXmM8CfRMQ08MGIuAfYBLwXuIBiqejDwJ2Z+UhEBLAb\n+GJmfn3+90TEW4CrM/PDEXERcANwUbn7CeDfZuYPahuYJEnqiOeIkCRJdbm3/PfnKJZtfI6iGfGL\nwAHgNyJiIDMTuBt43fwdy+bE64GvlZt+Bfgu8Avl5XZgvIYxSJKkZbIRIUmSapGZU8AoMJKZD5aX\nmcw8BnwB2AxsLW/+34DtEfFT5fWXAGcD3yivzwDnAudm5mxmPpKZh2saiiRJWgaXZkiSpFpExCpg\nBBiNiBdSzIZ4EbCG4qSWAOsBMvNwRHyLYhbEZ4E3AN8omxYAnwTeAdwcEX3A/wTuysyJekYjSZI6\n5YwISZJUl9eU/94PfIxiOcaNmfl24PpyXyy4/Z8CPx8R5wJXlNcByMwnM/NTmflLwK8Dfxu47gwf\nvyRJ+gmwESFJks6oiFgfEa8H3g/8UWb+EBii+FrP8YgYBv7x4vtl5gPAj4F/ATyamY8s+J2vjYhN\n5bkjjgKznJhVIUmSephLMyRJ0plwbUT8QyApGgX/D/idzLyv3H8bRfPhLRTNhruAayp+z58AH6A4\nGeVCL6VY2jHf0LgP+M8/4TFIkqQzIIoTU0uSJPWeiLgM+GfAP8rMyW4fjyRJWj6XZkiSpJ4UEWcB\nbwW+ZhNCkqT2sBEhSZJ6TkT8feCL5dX/1M1jkSRJP1kuzZAkSZIkSbVxRoQkSZIkSaqNjQhJkiRJ\nklQbGxGSJEmSJKk2NiIkSZIkSVJtbERIkiRJkqTa2IiQJEmSJEm1sREhSZIkSZJq8/8BiSVrZD58\nJXwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20b364dd748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cli.plot_coldwave(fv,flag_minhum2,'MIN_N_AIRMTR_PCT10')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot of how many days of extreme events by year in both cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "to_plot = fv[fv[flag_thermamp] != 0].groupby('YEAR').agg({flag_thermamp : np.sum}).reset_index()\n",
    "to_plot2 = fv[fv[flag_minhum2] != 0].groupby('YEAR').agg({flag_minhum2 : np.sum}).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YEAR</th>\n",
       "      <th>e_THERMAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1997.0</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1998.0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1999.0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2001.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2002.0</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2003.0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2004.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2005.0</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2006.0</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2007.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2012.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2014.0</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      YEAR  e_THERMAMP\n",
       "0   1997.0          19\n",
       "1   1998.0          18\n",
       "2   1999.0          18\n",
       "3   2000.0           7\n",
       "4   2001.0           6\n",
       "5   2002.0          22\n",
       "6   2003.0          24\n",
       "7   2004.0          10\n",
       "8   2005.0          14\n",
       "9   2006.0          11\n",
       "10  2007.0           3\n",
       "11  2008.0           4\n",
       "12  2010.0          25\n",
       "13  2011.0          12\n",
       "14  2012.0           2\n",
       "15  2014.0          14\n",
       "16  2015.0           2\n",
       "17  2016.0           6"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "to_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xJSKmzJo1azEXJ0mSJEnzLFYhk5mPZubLmfkK8GNg6wXMe2ZmjsnMMSNGjFjc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\ndc+G59rW46AWybgH8ATlBM7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vrXyLmPFHZjTj6zlfXTL25k+f34in1UTEPsAvI2JSZh6U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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2338142e8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,6))\n",
    "width = 0.40\n",
    "plt.title(\"Occurence of thermal amplitude above p90th\")\n",
    "plt.bar(np.arange(to_plot.shape[0]) - width/2, to_plot[flag_thermamp], width = width,label='Count Thermal amplitude > p90th' ,color='r',alpha = 0.7)\n",
    "\n",
    "plt.xticks(np.arange(to_plot.shape[0]),to_plot['YEAR'], rotation = 45)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZeSVwZXX7fmDD/o8kSZIkSXPWlxYZSZIkSWoLCxlJkiRJjWMhI0mSJKlx5mqM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\nJEmS1DgWMpIkSZIax0JGkiRJUuP8f876c1/2WoCDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23380b202e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,6))\n",
    "width = 0.40\n",
    "\n",
    "plt.title(\"Occurence of min air humidity below p10th\")\n",
    "plt.bar(np.arange(to_plot2.shape[0]) - width/2, to_plot2[flag_minhum2], width = width,label='Count Min Air Humidity < P10th',color='b',alpha = 0.7)\n",
    "\n",
    "plt.xticks(np.arange(to_plot2.shape[0]),to_plot2['YEAR'], rotation = 45)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Looking to 2018 where the min humidity below p10th occurs the most"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# getting series of pct90 min and max along this year\n",
    "\n",
    "df_2014 = fv[fv['YEAR'] == 2018]\n",
    "\n",
    "percentile = .9\n",
    "day_name = 'DAY365'\n",
    "var_2P90 = 'N_TERMAMP'\n",
    "var_2P10 = 'MIN_N_AIRMTR_PCT10'\n",
    "\n",
    "\n",
    "pth_max = []\n",
    "pth_min = []\n",
    "\n",
    "for d in df_2014.DAY365.unique():\n",
    "    # For each day we will have a different pct\n",
    "    df_pct = data[(data[day_name] >= d-14) & (data[day_name] <= d + 14)]\n",
    "\n",
    "    pth_max.append(df_pct[var_2P90].quantile(percentile))\n",
    "    pth_min.append(df_pct[var_2P10].quantile(0.1))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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sCLRqBRQU+OY/MwzjdThGlGEYJtRQyRDsZVdljLF0KXWeBw+m2otmIj1dc6FU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\nmR8qbaw1t2hOZ+wV0bIgmq1OFn1d8gFrHuaIvupVz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E3r9zdWEV1aSnvaS6wIou3IXlNR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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233812e9278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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GqwRjDHbt2oWmpqaSn6MuxfYQQgghhBBSMdJwRLNYvmXGDHneseyITp8+HZs3b8aOHTsq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\nRP0c0S1bRLhoZ7VsWfI2x8FLiJY6R3T37uCTkl6Btaz4jqh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CCUmooQR+BEJJQqgBvqGE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/0tWxUWCtXVxVWkSCGywAMRoiSIEK2osM/NAUSIdibs8kTtjiOzENU0YMQIDlTWrOFr6pyrrQW+\n9z3+bNzIXMauXVld+rnnWIF3550pmr7zHRYYKLQ+W3aOqArBtQrRKEJz1Tokk8Brr7Fa70cfsZ/r\nF18YvWTnzgXOO4/l4gFuX7+Y83x79mRINQDMm8eqf7feSme1Sxc29p4/n9ebv/6VN36A+/rww+mk\nRlEool8/9q7dtq0wQ4ftyKUjquvhO6JRnYtdu6ZOrui6IaKtoblKvIUtRN1Cc837yu+x5tW+Bchs\nXQ86iP3HVb9vu+V37556ffIiW0cU4LWgrS1ViNbWpgrRsKJ1hOJlxAi2EGxoYBHEyZN5r/HCfGwV\ncvhroYQIh43IAg/MF+ouXbJr8B4nshWiTogQ7TwMHpyaZ5xI2M9qm4VoIkHnbfPmdCFqprqauRuA\n0VcXAGbN4s8NN1DIffQRQ3MWL6bItR7XVt59lw7gLbdkHvbmxrp1/B/N55PVEY06NPfjj1kI6p13\n+LykhCLezJtvGgWrsnEnzft76FBWQ77nHobwlpayIJK6pl5xBV3ur74C/vlPtil69VUK2LDFojoO\nli1zbzVUSLS3G+dC1Dmi27YZ526hO6LWHFFzIR/rhKj6nN09KkpHVH2333PajyOaSQGk2bN5vo8b\nx9fsJgf+/e9gA95sHVHA+N0amrtpEye2xBEV7Jgzh63gHnyQx8exx9IFPeqoYPcMsyMaZBIm11RX\nF19YLiBC1BNN48W6o6NzXQh79EjN9QxyY3KrkilCtPPQ3Jz6XNPsz6GaGuNY6+jg323bxhxDwDsK\nwbxM80W6tZUzpEpozJlDcTV1KsNODzggfX3uu48tZNragD/+0de/GYh164yG7YpchOYmk8YN9qqr\nUgfcZgdTocKjq6rcQ3m9sE5g1dSwNP7Pfpb+2Zoa9rMdM4YDidtvpyhVA90nn2TIVRjXEHMv0bgI\n0Vw6omYBV+hC1Jojal73XIXm+nVE/aLuu2GG5i5ezHP9iy8MoWu3zkGr8YfhiDqF5gIUoyJEi4tF\ni3jtbWkxJrxGjOBkpTmPOpkEXnmF96499uD9/dFH6ZQvX857dEkJl7XTTmz5lglxEqJeVe/jiMgC\nH3RGIZpI8ORUeVRBHFERogKQOrutsDuHNI0DkJUr+by5OVUceQnRrl2dE/i3bUstmPTpp/y57TYe\n38uWpd74PvmEs/N/+hOw667AOee4f3dQ1q1Lv9GpnBTlhIYRmrtqFR3Pt9/mz6JFdEMA57B5RWmp\nMSCsqQlXiAb929124+9PPMHCEb/6FSs5NzRwgPrww9xOM2dyX/sts28WonHBrmquCNF0AanWvbbW\nOTQ3X46oX9yEYqZuuKp+vXWrkU8fRrh0UCGaTPL6bg3NBeyF6IYNIkSLjZ//nNd0M01NrDmg7sdt\nbcDppzNC6ayzeE8GgJNP5mMiwYnlJ5/MrK+2me7djTGEubVaoVEIXTuiQGSBD0pLeVIUa3y2EwMG\nZCZE7Vp0KESIdh78ClGADrxZiJrFoR8hmkjYO3tWzGJ1xQrewG65hULtqKMoaH7wAz7/6U+Bt94C\nTj2V7mkY7ZJaWtKFaCJBMZVNaK7KP9M04LrrKNgADvb22AP47nf5np9BY8+exv9aX595EShNCy+n\n/qSTeF156CEeJ/Pnc9mbNnHb3XsvcMcdzB++6SaGhbsRRyFqdkSjLlakxFxNTXhCNKpcXCch2tQE\nLFiQWq02Lo5oFKG55jZMn3/OxzDux0GFqPrf7EJz7YTo+vUiRIuNn/2M99m6Oh6DHR287yUSvM4d\ndhj3+Vtv0eU8/XT+nabR0a+q4pghrLzz0lLel9euDb82Q5iIEO3EqIO9swnR/v15IQBEiArBMQ8q\nAM6EOw0mevakUwlQiJqPEz9CNFPmzweOPpq/X3ABH//4Rx7v3/kOC+08+ijXr76eP4MGsSjSGWfw\nZujG6tXMuWpv53VkxQq2RrFiFqLr16eWkPfixhuB669ntcC99wb235+Dw4kTKULN7k9dnSH4nTDn\n0WZzU3bKCc4ETaOY/u537d+/+moeb7/9LfC3vzEv+KCDjFl0K9XV/ImTEM1lH1El5sxRMdmwfXt0\nQsKaI6rWvUcPhnZv25a+vezOrcpKozhOEHQ93eEzk4kj6qd9S9B9P2+e8fusWc7LD0qmQtQuNNea\nIwowukPXRYjGnRUrGGF0++3ukSvLl/Ozs2YBDzwAnHZa6vvDhkWzfj17Fr4QLVYNIrLAB+oiWawH\ngRNqQJpIBBvsK4fKLpZdhGjnwSpE3QYTZkHX3JwqnqIUonZccAGP3fPPZ67kgAEUb0rATZ/OcKHG\nRorRRMLZLb30Ut5MzbS2sqpnZSXdpupqClyzEK2rs1/mpk2p2+Oaa4Arr2SFWXV9mjCBP3bU17sL\n0ZKS1PY5tbXO57IfclVlvL6e2+HMMxmu+/HHRrXd7ds5oTBmDAWqys+NWwsXc4GXbFp4+MEsRL/4\ngkIrG/ch6tDc9nZjHVXFXFUJc/PmdCHqFJrrNUljh1s+p/m7wnZEMwnNHTaMA/1ly/haPkJzVfEz\nv47o8uV8FCEaX7ZvB44/nnUfrOHyVgYMYDX3NWtSczejpm9fRgoUshAVR7QTo26gnaV1i0IJ0W7d\ngoUlVlQ4f16EaOehrMwIn1Q4DSZU5dzKSg5A1DFUUuJdvdavEFUiS1XQtcspLS1laKf5O/fdl301\nVeivejz7bIb1DhjAMvHjxnHQ9NhjzG18801W4TWjafx71VvwwANTB1xff00HoLaW4k+5oyUlbG9y\nxRXsp1pTw3Dhzz7jjPF99/nrL9bUlJoza4fZsa2tzS4kOdeDx759gcsuS33tL3/hhAHA/+2EE7jN\nzEK0pYXHaiFXRTeH5qqoEyW6wsYsRNXzmhpWMR4xIr3XrxdRC1GAQq9bt1RHFOBzJXC8QnMz2Z5u\n+Zzm7wrLEc00P3j+fGDIEO7HDz/ka2EJ0Y4O/5MVdiK7Sxeef+brrgjR4uGSS4DXX+e1eNQo78+X\nluZWhALGxJUI0dwjssAH6uLa2YSoqnoa9P+WYkWCQhWVUTgdS0qI9utn5DL26uVdWAcwRJ0XHR1s\nW9KlC/NTdD3d6RsxIl347rEHCyLY8eWX/PnPf4zXEglW+rND15nvomkcbB5zDMNq167l+wMHcgDd\nrx/Deq0344MO4vvz5tGFOP10Nun22+S6ocHd4ezoSBUZ2USBJJOFcc087jiW9P/kE+CFF4Df/579\nUY84guFfK1dycHTeeXRVCxVzaK7KB86FIwrQua+qAg49lBMwt90WbHm5EKJbt6YKUTWwNF9/ougj\nGidHdPx4XgM+/JDjmjDy3lXu77Zt7mk5CjtHtKwsvaaAypFX7q0I0Xhy77283p53nlFoqBBR1zoR\norlHZIEP1M2gWA8CJ5QjGnQwKkJUUDQ1sfCPwssRHTjQeG3IkNQCG0507eo/dPTgg3lcjx/Pgj7m\nyn0lJUaVVjN77OFv2QqvdVHFikpLgYsuYjjpUUcBr71GobpqFXNQq6p4A+/o4GC3oYFOXlkZsPvu\nDJkMSn299+DT6oj6KQJlR6HkdVVWMkx3771ZfXHNGuCll+gMP/MMcPHFrAzs5RTnG7MjqmnpuZFh\nYidEKyoopjIpXhV1H1HAEHp2jqhCfSbMqrlROKJhC9GWFqYEDB5sbI+wCr0EFaJOjqg1lUMc0cJk\n4UJeN/fbDxg71v4zq1cb9/THHwf22YfRQ4VMHBzRYk0PFFngA3XBLITZ/VyihGjQfoYVFc4OlQjR\nzkWPHqkOnJcQNfcenTLFeN0NP6G5mkZXTB3Tw4fzBtnQwII2quCI3Y3VTpxmg137lnHjKEQBDhBr\na7mtVAGlML/byz225ohmQyEOHrt3Z3juPfcYfekA4P33ObgPO+c4LMyOKMBBf65CczduNCYkzBNL\nfsmVIwq4C9G4OKJ+QnODrKsqVDRkiJHPGdb+MAtRP9g5ohdeaPzPCjXeEiGaf7ZuZZ79Qw/xUdeB\nRx7h/fL995kaUlHBa9RXX/FetnAh7yV3382UiUJOewDEEc0nIgt8oC7YxXoQOKHKYwcdjLqFSooQ\n7Vw0NqY6cEGE6DXX+PsOv8Lh0EPTX7vkEkOQAOwdaqWxkeu1eLG/7/HCrmF2XV3qOZOtAHT7bi/H\n1uyIZjsDW8iTd2pSoqKCg+J58+jI//znHBiH5RiFhdkRBbJrN+KFNbx140ajomzchKhdaK6bI2pu\n92LHZ59xgK3OYzf30m79/BB2+xYVWTJ4sHH+h7U/1Lb0K0Tt/rcjjkj/XCLBMdeKFXwuQjQ63n6b\n+d8LFrBOwaJFnLT41784ATV0KEOke/dmnYITT2T1eID3xaef5vFYVsaomyuuMCYooqpyGzYHHMBW\nbXZjgEKhWDWIyAIfdFZHtKSEgzVxRIVM6d499VhwGkz07ctHr/6PdvgRoroOHHJI+uuDBvGm+vDD\nfO50E9prL96IMw1TNWMnRM1NtHU9ullZP826raG52VDIg8fRozlYevhhtqm6/XaGlN1wAx3qffcN\nJ4cuDDo6eFzk2hFVYm7jRkPQrV0bvK9jPoSoyjm0C811ckR1nYLfrefp/vvTUf/d7/jcKzQ3bEc0\nkeBxEETYKiE6aJCRTx5FaK4f7PqIOlFTI45oVJjP4SuvZJ2DXr1YfG+33YyUlJIStscaNIjhuNbj\n5uijjRZocaZXL+DBB/O9Fu4U6zkgssAHnTVHFGAhFD/hkWYkR1RQNDamOnBOF9JBg1hVz6ntiBt+\nhGhVlfOyL7uMYqRnz/SCGYo99gCeeir4utlhJwbNryWT0TmiXgK3pCR1G2S7HoU8eTdgAF2+Ll3o\nBKgJk3XrGBZ+3HGsavyDH+R3PQEjnDGXjqiqYA1QiJpbmyxezMJefslV1VzAaI2k7tdWR7RLF/vi\nXmZB6yREdZ05xuZ8Yr+huWE5omqZQYVoU5OxTZqbg1fddSKoEF26NPXv3KipMT5frIPwKNB1tiJp\nbDR6AT/4ILDTThT2H3wA/OMfwMyZ7Bf/hz/w+HC63p95Zk5XX3AgkYh2AjJfiCzwgZq5K+RBVVQc\neGDwv3ETBn6rewrFgVXYuQ0m9t03s+/wI0R33dV5UDdqFPDjH7svZ/fdM1s3O7wcUSB/QrSpKfUc\nzTY0t9AHj+rabteO5LHHWMxqzBj3Buy5wM5FilqIdutmCJeNG40QSYChe4UiRK1CT627Ovasjqhd\nWC6QKkSdzpO2Nk4ULVhgvObliJaW8ieTqrluBZCChuaao02GD6dQCYMgQvSbbxj6PnAgMGmS9+fN\n159Cv5bkE103cjNffZWPq1YB99/PyuozZ7I4n6KpiS6mcjeHDs3PegvBqa4WIdop6cyOaCY43ejD\nKhcvxAdrJcQoBhNeQlTTvCeR7rrL/f2glXPd8HJEgehCc70ErgqR9vt5L+IyeefWF/PEE9n6JZ9F\njOwKvEQdmmt2FZUQLS+n4AiaJ5rr0FwnIepWjMpPLqfa3gsWUJAmEt6OqFp20D6iiYTzxG3Q5c2b\nB0ycaDw//HD7CbFMCCJEr78emDsXePFFf/cCEaLOLFpEt3/UKKYUDB/O1/v0YZuvqVONdJRDDuE5\n/MUXTL3o1UvGYnGlujo1OqUYEH/KB+oGGpdBVb4xt+AwI2G5nY8gjmimeAmERCL7c7d793SRlgmV\nlfa5UVbhmQ9HVNOMnMCw1iMug0cnIZpMsk/sGWf461UbFXahmrlwRLt143GhhOguu/B8ioMQLS/n\n5Kc1NNdpolS1HnHbpkrUtrUZuYte7iVgtL7xS3u7u7ANEprb3s79ZXZEzzsvtXVVNvgVorNmMf/6\n5JMplPxgvv4UajXrXLNhA3D88UwtuOwyvtajB6t/z53LMNyHH6YTqoqNAbwH7r47haiI0PhSjC1c\nRIj6QBzRYOy9t/3rhVaFUogeqyPqp89cUPwMUMIQRFdcwWPY6lIEuak7CbtCCM1NJJx7+WVKXCbv\n3BxRAPjrX4EHHsjNutiRD0dUidCqKkOI9uvHCZlCFKLmPqJq3bt1Sw/N9XJE3bhptGsAACAASURB\nVLap+T1VAMgrn1MtO6gj6ra9goTmLl3KCZUBA/x/fxD8CtEnn2TRrVtv9b9sdf2prJS0nk2bgBde\noJh88knej264wXj/hBPoiorILG6iGhvkE/GofCCOaDDq63lB/OKL1NdFiHY+zI6ocijCxsnhMBOG\nED3nHDbmPusslrtPJJhr873v0V1Yvdp7GVahpygER1TX09evqooDm0zdwLg4otXV3sJO3Qd+85v0\nFh+jRwNHHsnfV65MdSLCIF+OKMBts3EjHcBvfYvFTQpJiDrliALpQjTb0FzzshYs4PbwE5obtiMa\nZN+r3F5zNeww8StEFy3iOjgVhLNDCdG4XEfCIplkQax332VI9YgRLOZ32GGcDHr9dWDy5HyvpZAP\namqKb1JGhKgPRIgGZ/JkJs+bK6ZKaG7nwyxsogqt8lqurod37o4eDbz5Jmenu3Uzbghffsny9149\nOp0qUJeWpg6ao8oRrazkZIBdG5pkMl2IJhJcL3N4YxDidM3s1ctwuew47TTgZz9jVV3r9mtuBv72\nN+7fO+5gqNyPf0zXIgyHws4RjVqIKpe4upr/89q13EatrcD06f6XpevcXrkMzVVh9FVV/kNzg+SI\nAkbBIj+huUH3VbEK0f79gy27MwrRZ55hWG1rK5/ffDOF6Le+xdzaSZM61/YQUqmuLj7Xu8h0dTRI\naG5wJk5MH5SLEO18lJcb4bhR3Ty9hGgyGe53axqvBeZZyZEjvf+upMS9QIjZBY3KEdU093BbO8c2\nm+tenPK6mpvd39d1ut52In7xYuZo3XYb31++nFUqr7ginNxSu/YtuQjNBbj/v/qKv/fqRTGxeLH3\npItCba9cCVHVvgXILDTXrxBVkxZROKJeDnKQHFElRHv18v/9QfArRBcv9j7HrHQ2IbphA/CjH3E7\nPfAAXdGLLuJ7tbXMre0s20Kwpxh1iKcQ1TStQtO06ZqmfaJp2ixN067e8fogTdPe0zTtK03THtc0\nzUd74nhSWsoBXBT5bcWKXc9GCc3tnKj8x3wJUSB6Z27ECH8Dc7uKuXbvRZkH4rZsOyFqdmeDzMR2\n7RqvEKI+fcK/Rt1wA5vBZ4tb+5YoiihZhei8efxdCdG2NraH8IMSalEJUWt7FPO6V1Wlh+Zm44iq\nZVVX598R9StsV6zgeRu0H7hf/AhRXRdH1A+vv87og/vuYwTGTjvF6xoqRE91tf9JwLjg5xDfBmCq\nruu7AhgL4GBN08YDuAnA73RdHwqgBcAZ0a1mfikrM4ofCP4YMSJ95kYc0c6JqsQalRjMVbEiN/z0\nVEwm3R1RlTtVXm5fWTcs3NbBToiaBbKm+R8YxW3irk+faESdNVc+E5wc0Y4OQwiFiVWIKhGlhCjg\nP080aiEKpDqE1hxRc2huWI7o6NH5dUSDhuZ27+6+ftngR4iuXcv/XxxRdw4/HPj66/z3LRYKl+pq\n3qf8tEuKC55DCp2oS3nZjh8dwFQAf9vx+kMAjoxkDQuA8vLirFQVJYkEXVHzoFWEaOdEzcRHVXa8\nUBxRL3TdXQQqwRd1efaGBudJNTshWltrnMfJpP8JubgNHvv0iWam+fHHGWan2n1kgpMjCkSTJ2oV\noorevQtTiJqFWS6KFe28M7BsGQeDUVTNDbN9y4oV0YXlAv6EqDpWgjqiatwVt2tJUDZtAp59lr9H\nlcsrFAdqfLBxY37XI0x8zW1rmlaiadrHAFYBeBnAPACtuq7vuMVgCYAQuuwVJhddBPz5z/lei/hh\nzRONakZWKGyU0xfVYKK01DukMuqBTM+e/nI3nHrsAoYQjXrSq67O2dV0EqJm8enXNYxToSLAu4VL\npiST7EM6cCALjTz1FHD//cBxxwHvv+9vGU7FioDwhWh7O3/shGiPHoUrRL/5ht/V1pYamhtFsaKd\nd+Z58PXX+ekjGjQ0N99CdPFiPoojms7GjcC3v83q6yrcWxCcUNfjTAsIFiK+bg26rncAGKtpWh2A\npwH4mP8nmqadBeAsAOgfdDqsQBg9mj9CMCZOTH0ujmjnRImbKAcTFRV0KxIJe1cr6oGMpgGjRgHv\nvef+mf33d35fCVE31zQM3CryOglRM35dw7gVVYjSidB1CqR33+WAE+CxOn06cOihfH/+fOCUU4Cj\nj04PzbZz3VToczYFi3SdPQkPP9wQaMr1swrRhgYjbLy62r8QjbpYEcB13bAhfd3DLlZkdkQB7jM/\noblR9BEN4ogOH+7/u4Oi/u8oHNFiF6IdHTz/33mHvYoHDcr3GgmFTjEK0UBp0LqutwJ4DcAEAHWa\npqlLZT8ASx3+5h5d18fpuj6uKapseaEg2X331OciRDsnUTuigDGIdgobzYU7N3KkszOraTwf3Hro\nKSEaVesWRV2dvavZpYt9XmdNTfCQVVVZOE5E5YiaMW/HZJIOyJ13AnfdBbz0EnD88Rys33hjaosU\n5ZSsWUMXzuzEbd2auSv63nvAsccCv/+98ZoStmZXETBcNU0L1ks0F47osGHA7NneQtTNEVVFj7wc\n0UTCCMVfsCA/jmhFBSc27Co4m9H16B1RTeMEhZcjWl4evGBSsQvRP/4R+N//WJzo+9/P99oIcUDd\nVztVaK6maU07nFBomtYVwIEAZoOCdMfcLk4F8GxUKynEk8bGVHdHQnM7J7lyRAHngVkuBjIjRjh/\nv64z/MoNJUBzEZprJyzr6+2FfG1t8CI+mha/wWO+c7PUsbNqFXD55cAJJwAXXwz8+tfsXwoAhxzC\nEN+BA+mgAHQ0Gxs5yN91VxY6OfBA4303VGjwQw8Z+9jJETWLmQED3HuumsmFEB0zhkWhWlr43Cyi\nt27lttV1d0cU4ESMlxCtrOSxUl5OIZovRxTwLliyfj0/E6UQBbyF6KJFQL9+wQs+FrMQbWkBfvlL\nRsmcckq+10aIC+qcKCZH1M+toTeAhzRNKwGF6xO6rj+nadrnAB7TNO06AB8BuC/C9RRiyujRwJtv\nchAgQrRzkgtH1KtCay4cUa+CRdOmub+fS0fUDruwXMAQxprGdVy3zvs7NC1+OaJVVek5hflACcJ5\n84Bbb01974YbmI8MsOH9q68a7WG2bqVjCtC1W76cAuy44zh7btc66MMP+fj55/x93Dh/QnTkSH53\nR4d3fnauhGhHh/H/WHsXb9li3H/chGi3bu5Ow+bNXHYiwcmA+fONvG8/jqiu+xNjfnJEAe5zt2uf\n6iEa9SSLH0c0k8ys6mrmJRdjyGpdHfDgg2zRIh0ZBL+o6/GGDfldjzDxUzV3pq7ru+m6vouu6zvr\nun7Njtfn67q+l67rQ3Vd/76u60VUTFgIi1GjjIushOZ2TnLhiJoHlxUV6Tf2XDmiTlRXA+PHu/99\nLosV2aHa7FhRM7C67v0/mImji5FvV9SL448HTj+dP3vv7fy5ZBKYNQs4+WSKxhEjgDvuAObOTXW3\nP/yQufzl5RwUA/6E6KhRFFZ+iqvkQoiqnM133+WjOTQX4P+kHEmn0FyA4dnLljm/v2WLscyRI4EX\nXgAefZTP3YSjCm/3G07nJzQX8HZZlRDNtyO6eHHwQkUAJznmz2exr2Ji5kzeo444wl/FdUFQdPoc\nUUEIysiRRhigOKKdk1w4ouZljxyZXhU2F6Jo8GD7wXZJCUMlvQbi+RSiJSXejijgX4jqevwcUYCD\n5UzdiX32CXdd7DAXMfLbp/Wrr+iUnnceB73l5cCQIcBbb9EJTSYpwB54APjVr4BLL+XfdetGQaQq\nxv/f/wG77MIwQiU6Pv/c+/tzIUSHD+f9xSpE1TG4aZORo+nmiPbrZ1R4tUM5ogBw++2Mcnj7bT53\n6/07ZAgfv/rK/f9Q+A3N9co7LQQhun07sHRpZo4owH3p5brHhbY24Kc/BXbbzThWBSEIIkQFISAj\nRxq/iyPaOenThwMJFVIYBWpwqGn2M8x+B+3ZUFZmDDjNdHR4h+UCuQvNdRK6foTohAn+viOZjKcj\nuscemf/t00/728+AMVHi1EbHCfNknp/+uQpzTnB7O12myZP5ek0Nw623bAGuu44VPAHuv7IyiggA\n6NuXuaH//Kch1qZPB37zG/fKvbkQomVlvNfMnGmsu/nRryPa3AwsWeL8vtkR7d+f+/y111h0xm3i\nZdgwPn75pff/AgQLzXWjEITo8uU8zjJxRIuFzz4DzjqLERd33glceCFzuQUhKJ2yWJEgZINZFIgQ\n7Zz06AF88glwzDHRfYcamDU1pQuq8vLczagfdVS6o5ZIsMiMF4MGsXXHlCnRrJvCTugmk85CVIXm\nAsBee/n/njg6otOmBS/MBNANq68HnnuOBYa8mDqVlXKDViPOxBH14r77gLVrjcJyap2U4HrzTYYB\nP/44RagqptSnD3NWf/lLhsa+8Yb98nMhRAEjT9S87uoxiCPa2ursNqhiRWb22w84+2z3dRs6lI9f\nfOH+OYWXI2r+v9xYvpzHTNSTW25CNNPWLcXCtm3AwQczouDb3wZefBG45ZbicXmF3FJWxvNNhKgg\n+KS52bjxixDtvIweHW1otjrG+vfnjKF5gJ9LZ+7UU1OFjBKh/fp5/215OfDUU9H3LLYblOq6tyPa\nrx9Fqd/tGUdHdPJkd8fMidpaTkCUlnKQ+Z3vuA80zz2XeW9BW9yYhWgQR9SJxkY6nSUlzFczO7Rq\n/zU2MoxQuf1lZVzvMWOMz379NbDvvsBjj6V/R66EqMoTBdJDc82OqNt2U66dU3ju5s2ZHdeVlTx/\nwnJE1Tm5fr37clTrlqiL4bgJUbUtO5sjunUrJzXKy1nZ+ssvgUceAQ46KN9rJsQdr6JqcUOEqBAp\n5lBJEaJCVKjB5YABHCSbxWAuwnIVI0Yw5EoN6JNJio5CItOquUog+81hjaMjWl7OdgpB3QpzmyqA\nx4Gb2zlgAL/ru98NFp6baWiuHYkEHW4lUg45JNgEzujRxnmWTHI5p50GfPxx6udy6YgqsgnNBZzD\nc+0cUb8MG+ZfiG7f7l38CPCunBl1D1GFH0e02IXoypWsYH3mmcABB/Ca8Lvf8b0JEwq/EJoQHwqh\nunuYiBAVIkcNYEWIClGhBuXNzekuU1DXKVt+8ANjQD9gQOHNgDsV/7CKKYUa9O60Ex+dBKvd98SR\nadOc+8E6oQpyKYYMcQ/xVS0/jj3Wf3huIpG637IVoslkak7sAQfYO6JOjBqV+j/qOn/WrOHjm28C\nq1fnV4hmUqwIcHdEMxWiw4cHc0TdtldQRzRqvBzR2trUEP9iI5kEDj+cQvT55+mEnn02Q3IFIWxq\na4tLiIo0ECJHFSwSISpEhTU010yuheixxwLnn88KiT/5SfCCNFGjadwmra2przsJzC5dgD/8gXmN\nQLrociKOjijgv+CQIpFI33aDBzt/vls3w5Xef3/+3trK5biJUuv1M5HgvmlrC7a+ZsxCtK4OmDQJ\n+N//6MZ5Xa/tQsjb2oDLLmOV6Btv5Pp9+9v26x82zc0UO+aeoepYXbnS2OZuQrRvXz66OaKZTrAM\nG8Zc3HXrnCd9FGGG5gZpuZQpXkK02N3QRIKFvtrb/dUDEIRsqKsrLiFaYEMkoRgRISpEjZsjmmtB\nVF/PokXl5ez3WIjYhde6OZ0/+hEdHYD/n5/Q1bg6osOGBRs4a5pR8VhhVz1ZMWCAEQ5bVgaceCJ/\n98oNthMmmeSzmtltt9TnahDtx201V0Q38+GHFKEAhemzz/L3X/3KcASDOs5+0DTmiZqPu7o6HusL\nF/oLze3ShdW9nRzRbENzAX+uqFexoqoq/r9uQnT7djrSuQgJdROiLS3ewjuObNrE3M9rr+XzAw8U\nESrkhupqEaKCEAjJERWixkmIJhL5cebuuINtMPyGseYau4Gh33W1ii4n4uqIahpw6KH+nWxdT9+e\n/fvbi/VEIt0t/e1v2V9y5kxg992dC8vYXT+zDc+1hm2qgbQfsVVbGyzsc9Ys45j4zW+YS5eNm2vH\nlClGhVrFoEHAggX+QnMBXkPshGgySTGb6QSLmsjxI0S9HNFEgu6vmxBdvZrHZr5DczduLL6w3P/+\nl5NNxxzD6tdebXQEIUzuvJOFDYsFEaJC5AwdykGUCFEhKsy9/cxCVNPy48w1NaW7TYVEQ0O64PEr\nMBsa/OU1xtURBVhwym/uZjKZLkTLypwrJav8UEVlpeGgHnGEc26pXZGpbBzR8nL+mBkzhsLF7yTC\nLrv4F+wvvGC4cz17sm3MAQdQ9GXSMseOq69mhV8zgwb5d0QB516i6u8zdUQHD+a28tPCxcsRBSju\n3IoV5aqHKOAuRDdsKB4h2tHBiaP99+f18tVX2Wc3jArWguCXQYPS7yNxRoSoEDllZcAllzCZXxCi\n4IQTgPvv50A336G5caCuLlVAVFf7nyiqr/cnHOK83d1Ca+2wE/HDh6eL/WSSoblOOF0jS0qAcePS\nX89G7NsJW03jtfp73/O3jFGj/H+fWfSefTbw6KPA9OmcPGpoYBRBtpSUpB/HAwemClEv0dCvn70j\nunkzHzPd5l26cN+H4YgCdKTdHNFcC1HlOFuJuxBtaTEmNzQNuPlm4LDDeOxOmSL9QAUhW8SjEnLC\nb36T7zUQiplevYx8TLMQ1fV4O3NRYRUhQXK4/Dqncd7u1vBOL+y235AhdEys+ZBuM9m77gr06QMs\nW5b6ekdHamEhRTatiZz2+YUX+l/G2LH+nWOrQDzhBP79yy/TJTz+eL4+axa3G0Cx1dTE/Nn+/f2v\nl5lBg5jbqdqI+AnN3bAhXUBt2cLHbLa538q5YQjRVav42KOH//XLFK/Q3FwXjMuG558H/vIXuuLt\n7cBnn/Ga9/XXPIbffJP5voVWhE4Q4ooIUUEQigrzoCeZjLczFxV1damuZlOT/7/1K1rjLER793Yf\nXFtxEqJ2RXnchKimAUceCfzxj+kCz06IZnNs+61+7Mbee/v/rJ3jPmpUqquq62x/NH166ud69ACW\nL89s8K+29+ef89EajmxFhVQvWZK6bsoRzUaIDhvG3HFdd84F1nUeN14RCrW1hutpx5o1fAxjP3vh\ndK60tdEpLSRH9IknONGx555cr3ffBT74APjnP/n8rbcoNkeO5DY+9VQ6+Gp/qDZWgiCEgwhRQRCK\nCuvse5wFUVTU1RlCJ5EIJkT9OKJdusQ7JzyRoJM2Z46/z9sJUacWLm6huQDD/u6+O/313XdPf61r\nV++2L3YkEv6dbTeGD/fOVVT4OR40DfjPfyhgdJ1tbVat4vITCYqaCy4Afv1rOsd+GDSIj7NnMz/U\nSQAqVMVkqxBVjmg215Nhw/i/rFrFPFk7VN9VP47o3LnO769Zw2Xkwo0sLzf2mXn7btzIx3wK0a1b\ngY8/5rkydix/zjgD+NOf+H55Oc+tlhau5y9/yVYs4ngKQm6QU00QhKKitDTV9RAhmo45NFfTglX3\n9SNgiqF4x/Dh/gejdtvELs+0osLboZoyJd3p7NvX/u+6dvUWVnZoWjgtNRIJuqJ+tpPfiYnqah6P\n3bszRHriRODgg/neJ58AjzzCNi1HH83WGcuXuy9POaKLFvkr7qQcUWueaFihuQArJDuhhKgfR9Rt\nAmDNGm7DTI6PoKjrrbUKshKi+QrN/de/eJxPnAjccgtfGz6cIc1z5gDvv89t+PbbxgRRZaWIUEHI\nJXK6CYJQdJjFp4TmpmMWoslk9kLUOnArBvEfJE/UryPav7+3MCgvZ7EgtU1LSoC99rL/bKaiSNfD\ncUQBYPx4f45sGA753nszbHfaNOaSXnkl82rXrnX+m6oqQ8T7mSDp25f7yCpEsy1WBAD77MPtfs89\nzp9pb+ejlyPq1b5FCdFcoITo22+nvq6Ecj4c0dWrgdNO43n89NOsdqtIJBhiO24cozcEQcgfIkQF\nQSg6zOKzGERR2CghqmkUMyed5P9vraKre3eGM5rFaDGI/yFD/AksTaM7ZUU5e4pEwn813uOPN77b\nqVARkLnznEyGJ0T95omGFao9ahTw178yLPXzz4HLLze2s1M1ZxWe62d7lZWx+Jm1hUsYjmhlJfDD\nH1IYqeJJVvwK0dpaIwfTjlwK0W9/m3m8U6cCBx1kOKH5EqK6zu3c2spj5cgj/YdyC4KQW0SICoJQ\ndJgHPsUgisJGCdHGRuB//7NvDeJEba3h6pWUsKfeW29RZKnX41Ql0wm/orGqyrmFw7Bhxu+a5p0f\nqpg6NVXw2+WHAhQ2mfbgjKsQNTNihFHl9733gAkTWHhmw4bU7aLCc/32XbVr4RKGIwoA557Ldbvr\nLvv3g4TmAs6uaC6F6KhRwIIFwFVXsQryv/7F13MdmptMUpjrOq9pv/0tw7gFQShcRIgKglB0mB0q\ncUTT2WMP4OKLOXjfbbdgf5tIGOK+owOYPJnhjG++aRR3KQYh6jc0103QDR1qiNSODv9NyEtLgeOO\nM567OaKZCtEwckQBih0//1fUxataW9kaZc89jbYvDz3E7RPEEQUYQr1gQeprYTiiatlHHQX8+c+G\nuDUTxBEFCkOIAtwuZ53F39et46NfR3TbtvT8Uj8sXQrccAPDsxsbGWZ71128Rv3yl8D55wdfpiAI\nuUWEqCAIRYc4ou507criHU6VXb0wi69Jk/jYowfwxht87uTgxYn+/f01q3cb7E+dSgGqnGK/jihg\n9NXs3du5F2Q2QjQsRxRgMRivbRW1EJ02jT0f//IX4Oab6ZbeeWfqBIBfR3T33SlqlaACwhOiAAVS\nSwvDRq2E4Yh2dHDdcylEAWNyQ+XsWoXo8uXA44+zbywAzJjBHrHduvH/mTqVDreaBHALjd+yhRNf\nv/gF//aEE4DLLqMoFQQhPsS4wL4gCII9ZkdOHNHwaWxkjltlJTBmjPF6QwOd0WKgrIy5rwsXOn9G\n09wH+6efTvF50UWs+Dp6tP/vnziRAsqpUBGQnSgKU4juvTfwf//n/plctPPp3Rs4+WT+fuGFFGOl\npYZo81sNdcIEPr73HvMfgXD6iComT+ax9fLLwJlnpr4XpFgRYF85t7WVIi7XQrS8nNdbJeBbW/l4\nxRXsn/rll3x+/fXM7W1qYgj8kUdSWL7+OtuqHHkkXew//Ql47DEWFmptZd7uli1sx1JZyUmHnXf2\nH0YvCELhIUJUEISiQ4RotKjiMBMnxrtfqBfDh1NwOzkzfvpxTp1K52fRIv+huWrZb7/t7uJl0yYn\nTCG6337en8n1cVJSYvTHXbmSj2+9RYF66aUsSOTEnnty+7/zjiFEt2wJrz+upjFy4H//S++9GUZo\n7po1fMyVEN24kS1pFi7kdnv5ZeDqq4EnnuD7//gH8K1vAWefzcrBKh2guZnvOVFVxfDbL77g/9u7\nNx3PZJLfc8QRkf9rgiBETBEPIQRB6KxIaG60qBC8yZPzux5RM3Qo8J//uH/GT65lIhFMhCp693Z/\nPxt3LqwcUQDYZReGRv71r/ahwjU1+e3NeM45dKX79wfuuINO27nnspiNXTudqioKHnM7ks2bw53U\nmjSJbt+iRakh22GE5qrQ2FwI0eOOA/72N4YDKz79lD8AJ0vWrs1s/598suFwC4JQnEiOqCAIRYc4\notGi3DSVH1qseLVw6egIV9AFJRtH1NxLNgxuuYXnmlXYaVp6+GmuqaigCD3oIGDOHOD73wdWrDDW\n9Z130gX0hAkMzVUCa8uWcMJyFerceeut1NcL1RHVdYbO3nYbczHVdtlzTz5/7jm209l339S/q67O\n7ySEIAiFjTiigiAUHUqIlpZKw/Io6NWL29Vv64644qdybpghrkHJVIhWVnoLnaD07g1cdx1wwQWp\nr2sa8JOfhPtdmfDCC5w06N2b1XTVBMOcOQwx/+53gQceMK4dEyYAd98NzJpFx3fz5nCF6JgxdF7f\nfptussKvI6qiPnIlRB95BDjlFP7erRtw+OHcbhdfnPq5piaGRSuhmuseooIgxAuZpxIEoehQg8ls\nHCPBmfPPp5NTDG1a3NhzT++JjHw6opkKo7DdUMW553JyQjmNiQQFi2qfkk9Gj04NdVYu3cCBwE03\nAU8/DYwfD3z1FV9XBYveeYePW7aEG11RWsrvy9QRLS3l/rcrVhS2EF28GPjpTxmKv3o1c0InTrT/\nrPV8MLfSEgRBsCJCVBCEokMJJAnLjYb6ejaML3Z69wZ+/nP3z8QxNDeqdS4tBZ5/3nCSk8nC7+VY\nUQFccgnw0kssarTvvhSjgwfT3TML0TAdUYBibuZMCjuFXyEKUOQ5OaIVFeGt71NP0al98EGKW7u8\nWkVDQ2o4e1STHoIgFAciRAVBKDqUEJVCRUK2XHYZ+3g65bnF0RGNsohNYyMLPPXqxeqo1pzBQmX/\n/ZkD2dYGvPgixdbEiYYQDbtYEcA80WQSePdd4zUlRP1U53UTomHu4wsuYP6nnzYpDQ1Gvm1JSfFH\nTQiCkB0iRAVBKDpEiAphUVUF3Hyzc9GiQssR9SoMU1IS/Tr37w/MnQu8+qq7e1Zo7LwzMHs2Q4wB\nhs5+8QXDUaNwRMeP5/4yh+cuWsRHr4rJQPRCdP58OrYA96kfVGsnheSICoLghghRQRCKDiVEZRAk\nhMFJJ7G4jJ3IK7TQXCX83ARgLsRzTU08wzKVgJs+nUWNAOCNN6JxRGtqeFyZ28R88gknP/zk1UYp\nRDs6WJzowAOBrVv9/531fJBrsCAIbogQFQSh6JAcUSFMEgng8svtXdF8OqJuDp2TM6rr+RXPcUHX\ngaVLKegvv5z5o6tWhf8948cD779vHFszZzpPelipqXEuVpSNEF26FDj7bDq1t9wSLBfZfGwlkxKa\nKwiCO56XOk3TmjVNe03TtM81TZuladr5O15v0DTtZU3TvtzxmMfbsSAIgoGE5gph8/3vMzzR7Dh+\n+9v5rcxs992qbYa1L6YimcyveI4Le+/NAkYNDcCXXwKbNgGffWa8/+ijbO2icjozZa+9gNZWFkjS\ndTqiu+7q72+zdUQXLgT+8hf+KH71K7qxDzzASrknneRvXRRmIarr4ogKKupr3QAADX5JREFUguCO\nH0d0O4CLdV0fBWA8gHM1TRsF4DIAr+i6PgzAKzueC4Ig5B1xRIWwKS0FLr2Ug2tNYw6feQCfD5xE\ncPfuzjmtgAhRv4wfn1o1+Xvf4+O6dcDppzOntLKSn/voo8y+Y6+9+Dh9OtukrF/PvqV+sBOi27cD\nLS3OQnT1auCuu1goadAg4NRTgTPPNN4vKwN+9CMK49//PniOr4TmCoIQBE8hquv6cl3XZ+z4fSOA\n2QD6AjgCwI4MCjwE4MioVlIQBCEI3bpxACWOqBAmp5/OYiwlJew7GWX1WT+UltpXVx02zP3vRIj6\nZ8oU4/eePfmoXNKHH6ZQXbyYYvTVV/n+qlV0Of0wciSvV9On0w0F/DuiXbqwiNJbbwErVvC1xYv5\nmEzytblzgf/+1+gt+uSTwE9+wpDe66+nyzt3rrHMX/+aAjTT3q9WISqhuYIguOGjQLiBpmkDAewG\n4D0APXVdX77jrRUAeoa6ZoIgCBmiacABBxhugyCEQdeuwLPPssVHoRxbFRUMGzUzfLjRdsQOyRH1\nz+67UyhaixUNGMAfALjoIuC664AJE/j8sssY2lpTA4wdCxx1FHDIIdwvAIv/VFTwOlVSAuyxB4Wo\nErpDh3Ki4+mnGf47fz5bqFx5JcXlyJEMwVb9RydP5vL33ptVfwHgmmv4o7j3XuCMM4Djjwe+9S3m\noUZBRQV/vvmGz8URFQTBDd9CVNO0KgBPAbhA1/UNmileQ9d1XdM024wUTdPOAnAWAPT3W/9bEAQh\nS156Kd9rIBQjkyblew1S6drVXoi6IY6of0pL2Qv1hReci0N17w7cdpvx/Ac/AEaPZg7mG28AF17I\nMO4ZM/j+fvsBn35KwQbQvdy4kb1XBw2iSFy1issdN44Cd599+NmKClazBShKn3iCv7/wAn8Ul14K\nNDezcrFaDsB9H/X+r6szHFoRooIguOFLiGqaVgaK0Ed1Xf/7jpdXaprWW9f15Zqm9QZgW09O1/V7\nANwDAOPGjXMonyAIgiAIQlDsxJGE5obLfvtR5PnNOZ88mT+KL7+kq6k480yGw7a1Med4xgy2cPnH\nP4AjjqDw3H13fq819LquDrj9dv7+978bQtTK8cf7D/ENm8ZGQ4hKaK4gCG54ClGN1ud9AGbrun6r\n6a1/ADgVwI07Hp+NZA0FQRAEQbClTx/g669TXxMhGi7TptFh7NUrs78fNix1n/zwh6nvf/01MHAg\nRemuuwKXXOJvubW1zu/lM3+5qcn4XRxRQRDc8OOITgJwMoBPNU37eMdrvwAF6BOapp0B4GsAx0Sz\nioIgCIIg2NGvH/MMVdsWAOjbNzVPz0pdXW7WrVjYZRdg3jyKxSjo358u4tq1/ivmAu5CtLEx+/XK\nFPN3ixAVBMENTyGq6/qbAJwKeO8f7uoIgiAIguCXvn3Te4bW1lIMLF2a/vmqKgpXIRiZVpH1g6Yx\nHPe554KF0zoJ0a5djfzTfGAuhiVCVBAENwJVzRUEQRAEoXDo2ze1Z2hFBdt69OplCFFNM8SqVMwt\nTA4/nHmkQQSvnRAdNAg455zw1isT1DGWSDj3uhUEQQBEiAqCIAhCbOnTJ/W5cqB69aIQSCYpQh94\ngG1DpHh9YfLDH6bnjnrR1ATcdBOLHg0bxjYwQ4dGs35BUEJU9XMWBEFwQoSoIAiCIMSUvn1Tn6v8\nz6YmQwRUVLCKanl5btdNiBZN81/YKJcoISoVcwVB8CKR7xUQBEEQBCEzrEJUiYAePeiGlpQABxwg\nIlTIHapYkeSHCoLghQhRQRAEQYgp5tDcRMJozdLUxJDcjg7g4IPzs25C50RNhkh1ZkEQvBAhKgiC\nIAgxpbLSCIHUNGPw36OH8Zlp03K/XkLnRQlRt/YygiAIgAhRQRAEQYg15vBcqxAdOLAwCtgInQfJ\nERUEwS8iRAVBEAQhxvTvTzc0mTRcqKYmPh56aP7WS+icKCEqOaKCIHghQlQQBEEQYkzfvkavUOWI\nDh8OjBsHnHpqftdN6Hx07coJke7d870mgiAUOtK+RRAEQRBiTJ8+dEMBQ4hWVwPvv5+/dRI6N//5\nDzBgQL7XQhCEQkeEqCAIgiDEGLscUUHIJ+PG5XsNBEGIAxKaKwiCIAgxxixEpVKpIAiCEBdEiAqC\nIAhCjBFHVBAEQYgjIkQFQRAEIcb06WP8LkJUEARBiAsiRAVBEAQhxvToAZSU8HcRooIgCEJcECEq\nCIIgCDGmpIRiFBAhKgiCIMQHEaKCIAiCEHOam4GyMqCiIt9rIgiCIAj+ECEqCIIgCDGnb19xQwVB\nEIR4IX1EBUEQBCHmnH02sM8++V4LQRAEQfCPCFFBEARBiDnTpvFHEARBEOKChOYKgiAIgiAIgiAI\nOUWEqCAIgiAIgiAIgpBTRIgKgiAIgiAIgiAIOUWEqCAIgiAIgiAIgpBTRIgKgiAIgiAIgiAIOUWE\nqCAIgiAIgiAIgpBTRIgKgiAIgiAIgiAIOUWEqCAIgiAIgiAIgpBTRIgKgiAIgiAIgiAIOUWEqCAI\ngiAIgiAIgpBTRIgKgiAIgiAIgiAIOUWEqCAIgiAIgiAIgpBTRIgKgiAIgiAIgiAIOUXTdT13X6Zp\nqwF8nbMvDE53AGvyvRJCVsg+jDey/+KN7L94I/sv3sj+izey/+KN7L9UBui63uT1oZwK0UJH07QP\ndF0fl+/1EDJH9mG8kf0Xb2T/xRvZf/FG9l+8kf0Xb2T/ZYaE5gqCIAiCIAiCIAg5RYSoIAiCIAiC\nIAiCkFNEiKZyT75XQMga2YfxRvZfvJH9F29k/8Ub2X/xRvZfvJH9lwGSIyoIgiAIgiAIgiDkFHFE\nBUEQBEEQBEEQhJwiQnQHmqYdrGnaXE3TvtI07bJ8r4/gjaZpCzVN+1TTtI81Tftgx2sNmqa9rGna\nlzse6/O9ngLRNO1+TdNWaZr2mek12/2lkd/vOB9napq2e/7WXAAc999VmqYt3XEOfqxp2iGm9y7f\nsf/mapo2LT9rLSg0TWvWNO01TdM+1zRtlqZp5+94Xc7BGOCy/+QcjAGaplVomjZd+//t3F+IFWUY\nx/Hvk6sSFUklIhokJYQFbUFhFGFGod1sgYRelIRgwXoRRPTnJoKCuqi9Ki8ic4tqE0uSkP6gQleZ\nVEapXWxZpJhCqRWBof26mGfX6bSzHruYOVO/Dyxn5p1ZeODHM8t79p034ovM74kcnxcROzKnNyNi\nWo5Pz/PRvH5Jk/X/302S3/qI2Ffqv/4c9/OzS56IAhExBXgeWAosAFZExIJmq7Iu3Sypv7Rl9iPA\nVknzga15br1hPbCkY6wqr6XA/PxZDaytqUartp5/5gcwlD3YL2kLQD4/lwNX5O+8kM9Za84J4EFJ\nC4CFwGDm5B5sh6r8wD3YBseBxZKuAvqBJRGxEHiGIr/LgCPAqrx/FXAkx4fyPmtOVX4AD5X6b1eO\n+fnZJU9EC9cBo5K+lfQHMAIMNFyT/TsDwHAeDwN3NFiLlUj6CPi5Y7gqrwHgFRU+BmZExOx6KrWJ\nVORXZQAYkXRc0j5glOI5aw2RdFDSZ3n8K7AXmIN7sBUmya+Ke7CHZB/9lqdT80fAYmBjjnf231hf\nbgRuiYioqVzrMEl+Vfz87JInooU5wA+l8/1M/oC33iDgg4j4NCJW59gsSQfz+EdgVjOlWZeq8nJP\ntseaXHq0rrQU3vn1sFzmdzWwA/dg63TkB+7BVoiIKRGxCzgMfAh8AxyVdCJvKWc0nl9ePwZcWG/F\nVtaZn6Sx/nsq+28oIqbnmPuvS56IWpvdKOkaiiUQgxFxU/miii2hvS10SzivVloLXEqxVOkg8Gyz\n5djpRMS5wFvAA5J+KV9zD/a+CfJzD7aEpJOS+oG5FP+dvrzhkuwMdOYXEVcCj1LkeC1wAfBwgyW2\nkieihQPAxaXzuTlmPUzSgfw8DGyieLAfGlv+kJ+Hm6vQulCVl3uyBSQdyj/OfwIvcmrpn/PrQREx\nlWIS85qkt3PYPdgSE+XnHmwfSUeB7cD1FEs2+/JSOaPx/PL6+cBPNZdqEyjltySXzEvSceBl3H9n\nzBPRwk5gfu5eNo3iBf/NDddkk4iIcyLivLFj4DbgK4rcVuZtK4F3mqnQulSV12bgntx5biFwrLR8\n0HpExzsvd1L0IBT5Lc+dH+dRbNjwSd312Sn5ftlLwF5Jz5UuuQdboCo/92A7RMTMiJiRx2cDt1K8\n57sdWJa3dfbfWF8uA7bligVrQEV+X5e+xAuK93vL/efnZxf6Tn/Lf5+kExGxBngfmAKsk7S74bJs\ncrOATfnufh/wuqT3ImInsCEiVgHfA3c1WKOVRMQbwCLgoojYDzwOPM3EeW0BbqfYYON34N7aC7a/\nqchvUW5XL+A74D4ASbsjYgOwh2K3z0FJJ5uo28bdANwNfJnvOQE8hnuwLaryW+EebIXZwHDuXHwW\nsEHSuxGxBxiJiCeBzym+bCA/X42IUYpN4pY3UbSNq8pvW0TMBALYBdyf9/v52aXwFyxmZmZmZmZW\nJy/NNTMzMzMzs1p5ImpmZmZmZma18kTUzMzMzMzMauWJqJmZmZmZmdXKE1EzMzMzMzOrlSeiZmZm\nZmZmVitPRM3MzMzMzKxWnoiamZmZmZlZrf4CHLwM6ABAg0YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233814e7c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,6))\n",
    "\n",
    "plt.title(\"Extreme conditions in thermal Amplitude\")\n",
    "\n",
    "x = np.arange(len(pth_max))\n",
    "y1 = df_2014[var_2P90]\n",
    "y2 = pth_max\n",
    "\n",
    "plt.plot(x,y1, color='r', label='Thermal amplitude')\n",
    "plt.plot(x,y2, color= 'r', linestyle = '--')\n",
    "plt.fill_between(x, y1, y2, where=y2 <= y1, facecolor='red', interpolate=True,label='Above P90th')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(16,6))\n",
    "x = np.arange(len(pth_min))\n",
    "y1 = df_2014[var_2P10]\n",
    "y2 = pth_min\n",
    "plt.plot(x,y1,color='b', label='Min air humidity')\n",
    "plt.plot(x,y2, color= 'b', linestyle = '--')\n",
    "plt.fill_between(x, y1, y2, where=y1 <= y2, facecolor='blue', interpolate=True, label='Below P10th')\n",
    "\n",
    "# plt.xticks(np.arange(df_2014.DAY365.nunique()), df_2014.DAY365.unique(), rotation = 90)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# by the graphs we can make 2 hypothesis:\n",
    "\n",
    "1. **Thermal amplitude is decreasing along the years**\n",
    "2. **Min air humidity is increasing along the years**\n",
    "\n",
    "so lets check.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "to_plot = fv.groupby('YEAR').agg({'N_TERMAMP': np.max}).reset_index()\n",
    "to_plot2 = fv.groupby('YEAR').agg({'MIN_N_AIRMTR_PCT10': np.mean}).reset_index()\n",
    "\n",
    "to_plot['MIN_N_AIRMTR_PCT10'] = to_plot2['MIN_N_AIRMTR_PCT10']\n",
    "\n",
    "to_plot = to_plot[to_plot['YEAR'] != 2017]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5EtRZyBNOsNmkxo61GdG6dQumjoJKT5cee8yC3003hf8sLqxbTvXq1ooWxsHc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\npzKRKSoqKioqKioqKirqdvo/NBWZz8C6rMIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233806e1e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,6))\n",
    "width = 0.40\n",
    "\n",
    "plt.plot(np.arange(to_plot.shape[0]) , to_plot['N_TERMAMP'], label='Max Thermal Amp',color='r',alpha = 0.7)\n",
    "\n",
    "plt.xticks(np.arange(to_plot.shape[0]),to_plot['YEAR'], rotation = 45)\n",
    "plt.ylim(ymin= 0, ymax = 40)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cOz2xoaJJE6l3b+nDD6Xp04OOBgAAAAhOUWZk2nvvW3rvW+U7b3DueS299x/EOzj82Xnn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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233806e14e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,6))\n",
    "width = 0.40\n",
    "\n",
    "plt.plot(np.arange(to_plot.shape[0]) , to_plot['MIN_N_AIRMTR_PCT10'],label='Minimum Air Humidity',color='b',alpha = 0.7)\n",
    "\n",
    "plt.xticks(np.arange(to_plot.shape[0]),to_plot['YEAR'], rotation = 45)\n",
    "\n",
    "plt.ylim(ymin=35, ymax=65)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from mpl_toolkits import mplot3d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "years = data.YEAR.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "contour() missing 1 required positional argument: 'Z'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-62-c83529eef5c9>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprojection\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'3d'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m ax.contour(data['DAY365'], data['N_TERMAMP'], rstride=1, cstride=1,\n\u001b[1;32m----> 3\u001b[1;33m                 cmap='viridis', edgecolor='none')\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_title\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'surface'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m;\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: contour() missing 1 required positional argument: 'Z'"
     ]
    },
    {
     "data": {
      "image/png": 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uVo2YHXZa6ueXTqeF82S3poUANULI2Z4MNNnFYjHY7XbEYjGMjIxg//79Vf3i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\nEomV8P97/5IIkLkAAgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23380a062b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection='3d')\n",
    "ax.contour(data['DAY365'], data['N_TERMAMP'], rstride=1, cstride=1,\n",
    "                cmap='viridis', edgecolor='none')\n",
    "ax.set_title('surface');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"431.818172458775\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "from mpl_toolkits.mplot3d.axes3d import Axes3D\n",
    "import matplotlib.pyplot as plt\n",
    "fig, ax = plt.subplots(subplot_kw={'projection': '3d'})\n",
    "\n",
    "datasets = [{\"x\":[1*i,2*i,3*i], \"y\":[1,4,9], \"z\":[0,0,0], \"colour\": \"red\"} for i in range(6)]\n",
    "\n",
    "for dataset in datasets:\n",
    "    ax.plot(dataset[\"x\"], dataset[\"y\"], dataset[\"z\"], color=dataset[\"colour\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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",
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