Training.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This code is being used to train a model using tweets/users attributes but not NLP or Image Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import MySQLdb\n",
    "import pandas as pd\n",
    "from Classes.Database import Database\n",
    "import json\n",
    "import urllib2\n",
    "import numpy\n",
    "import math\n",
    "import time\n",
    "import datetime\n",
    "import os\n",
    "import os.path\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "from sklearn import tree\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.model_selection import cross_val_predict\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.metrics import roc_curve\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import precision_score\n",
    "from sklearn.metrics import recall_score\n",
    "from sklearn.metrics import average_precision_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <td>648</td>\n",
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       "      <td>518</td>\n",
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       "      <td>1505</td>\n",
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       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>61.8316</td>\n",
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       "      <th>tatianaeslava</th>\n",
       "      <td>270</td>\n",
       "      <td>188</td>\n",
       "      <td>3926</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>17.2701</td>\n",
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       "      <th>neelybeddoe</th>\n",
       "      <td>593</td>\n",
       "      <td>990</td>\n",
       "      <td>3182</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
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       "      <th>Angel_Rodas19</th>\n",
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       "      <td>506</td>\n",
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       "      <td>0</td>\n",
       "      <td>5</td>\n",
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       "      <th>kaassanndraa</th>\n",
       "      <td>4766</td>\n",
       "      <td>97</td>\n",
       "      <td>6682</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>52.6945</td>\n",
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       "      <th>osp1na</th>\n",
       "      <td>746</td>\n",
       "      <td>131</td>\n",
       "      <td>29042</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40.8824</td>\n",
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       "      <th>DLasAmericas</th>\n",
       "      <td>112154</td>\n",
       "      <td>12510</td>\n",
       "      <td>407453</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>81.2263</td>\n",
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       "      <th>jcscala65</th>\n",
       "      <td>47</td>\n",
       "      <td>219</td>\n",
       "      <td>233</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>18.1793</td>\n",
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       "      <th>YBezzy_</th>\n",
       "      <td>3475</td>\n",
       "      <td>3166</td>\n",
       "      <td>36299</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>42.1138</td>\n",
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       "      <th>MariaWiliman</th>\n",
       "      <td>20</td>\n",
       "      <td>60</td>\n",
       "      <td>684</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>22.4489</td>\n",
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       "      <th>O_Jamison</th>\n",
       "      <td>153</td>\n",
       "      <td>212</td>\n",
       "      <td>565</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>23.7733</td>\n",
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       "      <th>OrlPartyInvites</th>\n",
       "      <td>496</td>\n",
       "      <td>432</td>\n",
       "      <td>624</td>\n",
       "      <td>0</td>\n",
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       "      <th>dgirlinluv</th>\n",
       "      <td>49</td>\n",
       "      <td>83</td>\n",
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       "      <td>0</td>\n",
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       "      <td>13.6355</td>\n",
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       "      <th>letsantanna</th>\n",
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       "      <td>509</td>\n",
       "      <td>31622</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>44.0962</td>\n",
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       "      <th>anjubeltran</th>\n",
       "      <td>203</td>\n",
       "      <td>76</td>\n",
       "      <td>1961</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>16.9758</td>\n",
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       "      <th>ATCCPV</th>\n",
       "      <td>820</td>\n",
       "      <td>1049</td>\n",
       "      <td>5971</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40.3011</td>\n",
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       "      <th>KatFtAV</th>\n",
       "      <td>91</td>\n",
       "      <td>132</td>\n",
       "      <td>8634</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>36.5785</td>\n",
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       "      <th>TheBStinger</th>\n",
       "      <td>349</td>\n",
       "      <td>258</td>\n",
       "      <td>9268</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>28.9094</td>\n",
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       "      <th>jlbhiexp</th>\n",
       "      <td>95</td>\n",
       "      <td>227</td>\n",
       "      <td>1611</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>16.2590</td>\n",
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       "      <th>Afrentao</th>\n",
       "      <td>556</td>\n",
       "      <td>1543</td>\n",
       "      <td>37735</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>41.4299</td>\n",
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       "      <th>Millzwavy_</th>\n",
       "      <td>607</td>\n",
       "      <td>135</td>\n",
       "      <td>24238</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>42.9997</td>\n",
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       "    <tr>\n",
       "      <th>upiedrastudio</th>\n",
       "      <td>103</td>\n",
       "      <td>234</td>\n",
       "      <td>214</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>16.4219</td>\n",
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       "    <tr>\n",
       "      <th>Brandons_Porch</th>\n",
       "      <td>2097</td>\n",
       "      <td>963</td>\n",
       "      <td>3848</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>38.1095</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>mannymak22</th>\n",
       "      <td>471</td>\n",
       "      <td>392</td>\n",
       "      <td>10991</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>31.7178</td>\n",
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       "      <th>DaniellChehab</th>\n",
       "      <td>141</td>\n",
       "      <td>264</td>\n",
       "      <td>459</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>31.7860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>luisbloomin</th>\n",
       "      <td>54</td>\n",
       "      <td>289</td>\n",
       "      <td>629</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>43.8546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>michele_chef</th>\n",
       "      <td>638</td>\n",
       "      <td>1175</td>\n",
       "      <td>4022</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>34.5024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dorii_Casey</th>\n",
       "      <td>616</td>\n",
       "      <td>342</td>\n",
       "      <td>22645</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>24.0127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RichwayMar</th>\n",
       "      <td>905</td>\n",
       "      <td>411</td>\n",
       "      <td>9013</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>42.4105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MillionBeccs</th>\n",
       "      <td>800</td>\n",
       "      <td>599</td>\n",
       "      <td>9723</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>17.5773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kabongelamech1</th>\n",
       "      <td>32</td>\n",
       "      <td>215</td>\n",
       "      <td>238</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>21.8868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adrix1113</th>\n",
       "      <td>298</td>\n",
       "      <td>408</td>\n",
       "      <td>2552</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>58.0005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DavidTwitoMLD</th>\n",
       "      <td>131</td>\n",
       "      <td>189</td>\n",
       "      <td>635</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40.1479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jordanmwakeman</th>\n",
       "      <td>348</td>\n",
       "      <td>335</td>\n",
       "      <td>5372</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>31.1943</td>\n",
       "    </tr>\n",
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       "      <th>LizagnaSucks</th>\n",
       "      <td>1791</td>\n",
       "      <td>184</td>\n",
       "      <td>82705</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>27.6676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ymorizumi</th>\n",
       "      <td>607</td>\n",
       "      <td>603</td>\n",
       "      <td>4311</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>40.2011</td>\n",
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       "      <th>Bobbyc134</th>\n",
       "      <td>150</td>\n",
       "      <td>423</td>\n",
       "      <td>599</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>25.6314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rell865</th>\n",
       "      <td>252</td>\n",
       "      <td>77</td>\n",
       "      <td>11346</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>14.2324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jthake</th>\n",
       "      <td>13889</td>\n",
       "      <td>2585</td>\n",
       "      <td>35116</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>38.1205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FloydBhere</th>\n",
       "      <td>1449</td>\n",
       "      <td>1947</td>\n",
       "      <td>21972</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40.5148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WinsomeDame</th>\n",
       "      <td>343</td>\n",
       "      <td>256</td>\n",
       "      <td>3987</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>49.1271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>simplyAbysmommy</th>\n",
       "      <td>39</td>\n",
       "      <td>54</td>\n",
       "      <td>899</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>49.1271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wa_salcedo</th>\n",
       "      <td>447</td>\n",
       "      <td>456</td>\n",
       "      <td>4287</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>19.5662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hippyxo___</th>\n",
       "      <td>119</td>\n",
       "      <td>83</td>\n",
       "      <td>4381</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>16.6179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>captblind</th>\n",
       "      <td>780</td>\n",
       "      <td>2766</td>\n",
       "      <td>3210</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>20.0704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AnneliseRentas</th>\n",
       "      <td>798</td>\n",
       "      <td>912</td>\n",
       "      <td>8672</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>50.3379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ailsadeprada</th>\n",
       "      <td>15</td>\n",
       "      <td>118</td>\n",
       "      <td>191</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>45.8672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artdasher</th>\n",
       "      <td>723</td>\n",
       "      <td>2916</td>\n",
       "      <td>81468</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>62.0929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>slouisecrews</th>\n",
       "      <td>97</td>\n",
       "      <td>264</td>\n",
       "      <td>917</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>24.8289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diaswilliam7</th>\n",
       "      <td>434</td>\n",
       "      <td>395</td>\n",
       "      <td>775</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>36.2723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SammiSoldo</th>\n",
       "      <td>688</td>\n",
       "      <td>641</td>\n",
       "      <td>22078</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>14.3161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JaDorGalore</th>\n",
       "      <td>456</td>\n",
       "      <td>511</td>\n",
       "      <td>3287</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>36.0100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TardisBlueRoses</th>\n",
       "      <td>110</td>\n",
       "      <td>182</td>\n",
       "      <td>3318</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>23.3512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>89522 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 followers_count  friends_count  statuses_count  verified  \\\n",
       "screen_name                                                                 \n",
       "Gboarders                    386           1021            5804         0   \n",
       "PabloAcostaTuc              1090            216            2371         0   \n",
       "patigalafassi                169            170            5386         0   \n",
       "tricky_dickie87              320           1344             663         0   \n",
       "joeflech                    3658           1224           11410         1   \n",
       "MariaLaurita3p               244            648            2415         0   \n",
       "tjchev_51                    469            518            3867         0   \n",
       "casadecrews                 2980           1505           30852         0   \n",
       "tatianaeslava                270            188            3926         0   \n",
       "neelybeddoe                  593            990            3182         0   \n",
       "Angel_Rodas19                138            506            1058         0   \n",
       "kaassanndraa                4766             97            6682         0   \n",
       "osp1na                       746            131           29042         0   \n",
       "DLasAmericas              112154          12510          407453         1   \n",
       "jcscala65                     47            219             233         0   \n",
       "YBezzy_                     3475           3166           36299         0   \n",
       "MariaWiliman                  20             60             684         0   \n",
       "O_Jamison                    153            212             565         0   \n",
       "OrlPartyInvites              496            432             624         0   \n",
       "dgirlinluv                    49             83             110         0   \n",
       "letsantanna                 1140            509           31622         0   \n",
       "anjubeltran                  203             76            1961         0   \n",
       "ATCCPV                       820           1049            5971         0   \n",
       "KatFtAV                       91            132            8634         0   \n",
       "TheBStinger                  349            258            9268         0   \n",
       "jlbhiexp                      95            227            1611         0   \n",
       "Afrentao                     556           1543           37735         0   \n",
       "Millzwavy_                   607            135           24238         0   \n",
       "upiedrastudio                103            234             214         0   \n",
       "Brandons_Porch              2097            963            3848         0   \n",
       "...                          ...            ...             ...       ...   \n",
       "mannymak22                   471            392           10991         0   \n",
       "DaniellChehab                141            264             459         0   \n",
       "luisbloomin                   54            289             629         0   \n",
       "michele_chef                 638           1175            4022         0   \n",
       "Dorii_Casey                  616            342           22645         0   \n",
       "RichwayMar                   905            411            9013         0   \n",
       "MillionBeccs                 800            599            9723         0   \n",
       "kabongelamech1                32            215             238         0   \n",
       "adrix1113                    298            408            2552         0   \n",
       "DavidTwitoMLD                131            189             635         0   \n",
       "jordanmwakeman               348            335            5372         0   \n",
       "LizagnaSucks                1791            184           82705         0   \n",
       "ymorizumi                    607            603            4311         0   \n",
       "Bobbyc134                    150            423             599         0   \n",
       "Rell865                      252             77           11346         0   \n",
       "jthake                     13889           2585           35116         0   \n",
       "FloydBhere                  1449           1947           21972         0   \n",
       "WinsomeDame                  343            256            3987         0   \n",
       "simplyAbysmommy               39             54             899         0   \n",
       "wa_salcedo                   447            456            4287         0   \n",
       "Hippyxo___                   119             83            4381         0   \n",
       "captblind                    780           2766            3210         0   \n",
       "AnneliseRentas               798            912            8672         0   \n",
       "ailsadeprada                  15            118             191         0   \n",
       "artdasher                    723           2916           81468         0   \n",
       "slouisecrews                  97            264             917         0   \n",
       "diaswilliam7                 434            395             775         0   \n",
       "SammiSoldo                   688            641           22078         0   \n",
       "JaDorGalore                  456            511            3287         0   \n",
       "TardisBlueRoses              110            182            3318         0   \n",
       "\n",
       "                 account_age  klout_score  \n",
       "screen_name                                \n",
       "Gboarders                  5      19.8991  \n",
       "PabloAcostaTuc             5      30.1380  \n",
       "patigalafassi              8      18.9566  \n",
       "tricky_dickie87            5      20.9470  \n",
       "joeflech                   8      61.1196  \n",
       "MariaLaurita3p             8      25.4155  \n",
       "tjchev_51                  5      42.8827  \n",
       "casadecrews                8      61.8316  \n",
       "tatianaeslava              8      17.2701  \n",
       "neelybeddoe                8      29.3960  \n",
       "Angel_Rodas19              5      20.4822  \n",
       "kaassanndraa               5      52.6945  \n",
       "osp1na                     5      40.8824  \n",
       "DLasAmericas               5      81.2263  \n",
       "jcscala65                  5      18.1793  \n",
       "YBezzy_                    8      42.1138  \n",
       "MariaWiliman               5      22.4489  \n",
       "O_Jamison                  5      23.7733  \n",
       "OrlPartyInvites            8      26.8819  \n",
       "dgirlinluv                 5      13.6355  \n",
       "letsantanna                5      44.0962  \n",
       "anjubeltran                8      16.9758  \n",
       "ATCCPV                     5      40.3011  \n",
       "KatFtAV                    8      36.5785  \n",
       "TheBStinger                8      28.9094  \n",
       "jlbhiexp                   8      16.2590  \n",
       "Afrentao                   5      41.4299  \n",
       "Millzwavy_                 8      42.9997  \n",
       "upiedrastudio              5      16.4219  \n",
       "Brandons_Porch             8      38.1095  \n",
       "...                      ...          ...  \n",
       "mannymak22                 5      31.7178  \n",
       "DaniellChehab              8      31.7860  \n",
       "luisbloomin                8      43.8546  \n",
       "michele_chef               8      34.5024  \n",
       "Dorii_Casey                5      24.0127  \n",
       "RichwayMar                 5      42.4105  \n",
       "MillionBeccs               5      17.5773  \n",
       "kabongelamech1             5      21.8868  \n",
       "adrix1113                  8      58.0005  \n",
       "DavidTwitoMLD              5      40.1479  \n",
       "jordanmwakeman             5      31.1943  \n",
       "LizagnaSucks               5      27.6676  \n",
       "ymorizumi                  8      40.2011  \n",
       "Bobbyc134                  5      25.6314  \n",
       "Rell865                    8      14.2324  \n",
       "jthake                    10      38.1205  \n",
       "FloydBhere                 5      40.5148  \n",
       "WinsomeDame                8      49.1271  \n",
       "simplyAbysmommy            8      49.1271  \n",
       "wa_salcedo                 8      19.5662  \n",
       "Hippyxo___                 5      16.6179  \n",
       "captblind                  8      20.0704  \n",
       "AnneliseRentas             5      50.3379  \n",
       "ailsadeprada               5      45.8672  \n",
       "artdasher                  8      62.0929  \n",
       "slouisecrews               8      24.8289  \n",
       "diaswilliam7               5      36.2723  \n",
       "SammiSoldo                 5      14.3161  \n",
       "JaDorGalore                8      36.0100  \n",
       "TardisBlueRoses            5      23.3512  \n",
       "\n",
       "[89522 rows x 6 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users = pd.read_sql(\"SELECT screen_name, if(followers_count = 0, 1, followers_count) as followers_count, \\\n",
    "                if(friends_count = 0, 1, friends_count) as friends_count,\\\n",
    "                statuses_count, if(verified, 1, 0) as verified,\\\n",
    "                TIMESTAMPDIFF(YEAR,created_at,CURDATE()) as 'account_age',\\\n",
    "                klout_score \\\n",
    "                FROM twitterUsers WHERE klout_score is not null\",\n",
    "                    con = Database().myDB, index_col = 'screen_name')\n",
    "users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>followers_count</th>\n",
       "      <th>friends_count</th>\n",
       "      <th>statuses_count</th>\n",
       "      <th>verified</th>\n",
       "      <th>account_age</th>\n",
       "      <th>klout_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8.952200e+04</td>\n",
       "      <td>89522.000000</td>\n",
       "      <td>8.952200e+04</td>\n",
       "      <td>89522.000000</td>\n",
       "      <td>89522.000000</td>\n",
       "      <td>89522.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.863149e+03</td>\n",
       "      <td>765.967326</td>\n",
       "      <td>1.046624e+04</td>\n",
       "      <td>0.017873</td>\n",
       "      <td>5.874634</td>\n",
       "      <td>31.247912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.530754e+04</td>\n",
       "      <td>3555.178051</td>\n",
       "      <td>2.435911e+04</td>\n",
       "      <td>0.132489</td>\n",
       "      <td>2.523070</td>\n",
       "      <td>12.028747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.270000e+02</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>7.730000e+02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>21.229875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.410000e+02</td>\n",
       "      <td>363.000000</td>\n",
       "      <td>3.130500e+03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>30.412350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.280000e+02</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>1.056300e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>40.899400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.178080e+07</td>\n",
       "      <td>455605.000000</td>\n",
       "      <td>2.021478e+06</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>94.065000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       followers_count  friends_count  statuses_count      verified  \\\n",
       "count     8.952200e+04   89522.000000    8.952200e+04  89522.000000   \n",
       "mean      3.863149e+03     765.967326    1.046624e+04      0.017873   \n",
       "std       8.530754e+04    3555.178051    2.435911e+04      0.132489   \n",
       "min       1.000000e+00       1.000000    1.000000e+00      0.000000   \n",
       "25%       1.270000e+02     173.000000    7.730000e+02      0.000000   \n",
       "50%       3.410000e+02     363.000000    3.130500e+03      0.000000   \n",
       "75%       8.280000e+02     731.000000    1.056300e+04      0.000000   \n",
       "max       1.178080e+07  455605.000000    2.021478e+06      1.000000   \n",
       "\n",
       "        account_age   klout_score  \n",
       "count  89522.000000  89522.000000  \n",
       "mean       5.874634     31.247912  \n",
       "std        2.523070     12.028747  \n",
       "min        0.000000     10.000000  \n",
       "25%        4.000000     21.229875  \n",
       "50%        6.000000     30.412350  \n",
       "75%        8.000000     40.899400  \n",
       "max       11.000000     94.065000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We can notice that the dataset is quite unbalanced (biased) regarding the followers count. \n",
    "#### So it can hardly be a decisive feature, unless we are going really strict."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "less than 1000 followers: 70810  =  79.10% , verified users: 56\n",
      "between 1000 & 10000 followers: 15948  =  17.81% , verified users: 654\n",
      "between 10000 & 100000 followers: 2359  =  2.64% , verified users: 616\n",
      "more than 100000 followers: 405  =  0.45% , verified users: 274\n"
     ]
    }
   ],
   "source": [
    "df1 = users.loc[(users['followers_count'] < 1000)]\n",
    "r = len(df1)\n",
    "print 'less than 1000 followers:', r, ' = ', '{:.2f}%'.format(r*1.0/len(users) * 100), ', verified users:', len(df1.loc[df1['verified'] == 1])\n",
    "df2 = users.loc[(users['followers_count'] >= 1000) & (users['followers_count'] < 10000)]\n",
    "r = len(df2)\n",
    "print 'between 1000 & 10000 followers:', r, ' = ', '{:.2f}%'.format(r*1.0/len(users) * 100), ', verified users:', len(df2.loc[df2['verified'] == 1])\n",
    "df3 = users.loc[(users['followers_count'] >= 10000) & (users['followers_count'] < 100000)]\n",
    "r = len(df3)\n",
    "print 'between 10000 & 100000 followers:', r, ' = ', '{:.2f}%'.format(r*1.0/len(users) * 100), ', verified users:', len(df3.loc[df3['verified'] == 1])\n",
    "df4 = users.loc[(users['followers_count'] >= 100000)]\n",
    "r = len(df4)\n",
    "print 'more than 100000 followers:', r, ' = ', '{:.2f}%'.format(r*1.0/len(users) * 100), ', verified users:', len(df4.loc[df4['verified'] == 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>followers_count</th>\n",
       "      <th>friends_count</th>\n",
       "      <th>statuses_count</th>\n",
       "      <th>verified</th>\n",
       "      <th>account_age</th>\n",
       "      <th>klout_score</th>\n",
       "      <th>cross1</th>\n",
       "      <th>cross2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>screen_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Gboarders</th>\n",
       "      <td>386</td>\n",
       "      <td>1021</td>\n",
       "      <td>5804</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>19.8991</td>\n",
       "      <td>2240344</td>\n",
       "      <td>99.4955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PabloAcostaTuc</th>\n",
       "      <td>1090</td>\n",
       "      <td>216</td>\n",
       "      <td>2371</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>30.1380</td>\n",
       "      <td>2584390</td>\n",
       "      <td>150.6900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>patigalafassi</th>\n",
       "      <td>169</td>\n",
       "      <td>170</td>\n",
       "      <td>5386</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>18.9566</td>\n",
       "      <td>910234</td>\n",
       "      <td>151.6528</td>\n",
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       "    <tr>\n",
       "      <th>tricky_dickie87</th>\n",
       "      <td>320</td>\n",
       "      <td>1344</td>\n",
       "      <td>663</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>20.9470</td>\n",
       "      <td>212160</td>\n",
       "      <td>104.7350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>joeflech</th>\n",
       "      <td>3658</td>\n",
       "      <td>1224</td>\n",
       "      <td>11410</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>61.1196</td>\n",
       "      <td>41737780</td>\n",
       "      <td>488.9568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MariaLaurita3p</th>\n",
       "      <td>244</td>\n",
       "      <td>648</td>\n",
       "      <td>2415</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>25.4155</td>\n",
       "      <td>589260</td>\n",
       "      <td>203.3240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tjchev_51</th>\n",
       "      <td>469</td>\n",
       "      <td>518</td>\n",
       "      <td>3867</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>42.8827</td>\n",
       "      <td>1813623</td>\n",
       "      <td>214.4135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>casadecrews</th>\n",
       "      <td>2980</td>\n",
       "      <td>1505</td>\n",
       "      <td>30852</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>61.8316</td>\n",
       "      <td>91938960</td>\n",
       "      <td>494.6528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tatianaeslava</th>\n",
       "      <td>270</td>\n",
       "      <td>188</td>\n",
       "      <td>3926</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>17.2701</td>\n",
       "      <td>1060020</td>\n",
       "      <td>138.1608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>neelybeddoe</th>\n",
       "      <td>593</td>\n",
       "      <td>990</td>\n",
       "      <td>3182</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>29.3960</td>\n",
       "      <td>1886926</td>\n",
       "      <td>235.1680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angel_Rodas19</th>\n",
       "      <td>138</td>\n",
       "      <td>506</td>\n",
       "      <td>1058</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>20.4822</td>\n",
       "      <td>146004</td>\n",
       "      <td>102.4110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kaassanndraa</th>\n",
       "      <td>4766</td>\n",
       "      <td>97</td>\n",
       "      <td>6682</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>52.6945</td>\n",
       "      <td>31846412</td>\n",
       "      <td>263.4725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>osp1na</th>\n",
       "      <td>746</td>\n",
       "      <td>131</td>\n",
       "      <td>29042</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40.8824</td>\n",
       "      <td>21665332</td>\n",
       "      <td>204.4120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DLasAmericas</th>\n",
       "      <td>112154</td>\n",
       "      <td>12510</td>\n",
       "      <td>407453</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>81.2263</td>\n",
       "      <td>45697483762</td>\n",
       "      <td>406.1315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jcscala65</th>\n",
       "      <td>47</td>\n",
       "      <td>219</td>\n",
       "      <td>233</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>18.1793</td>\n",
       "      <td>10951</td>\n",
       "      <td>90.8965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YBezzy_</th>\n",
       "      <td>3475</td>\n",
       "      <td>3166</td>\n",
       "      <td>36299</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>42.1138</td>\n",
       "      <td>126139025</td>\n",
       "      <td>336.9104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MariaWiliman</th>\n",
       "      <td>20</td>\n",
       "      <td>60</td>\n",
       "      <td>684</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>22.4489</td>\n",
       "      <td>13680</td>\n",
       "      <td>112.2445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>O_Jamison</th>\n",
       "      <td>153</td>\n",
       "      <td>212</td>\n",
       "      <td>565</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>23.7733</td>\n",
       "      <td>86445</td>\n",
       "      <td>118.8665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OrlPartyInvites</th>\n",
       "      <td>496</td>\n",
       "      <td>432</td>\n",
       "      <td>624</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>26.8819</td>\n",
       "      <td>309504</td>\n",
       "      <td>215.0552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dgirlinluv</th>\n",
       "      <td>49</td>\n",
       "      <td>83</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>13.6355</td>\n",
       "      <td>5390</td>\n",
       "      <td>68.1775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>letsantanna</th>\n",
       "      <td>1140</td>\n",
       "      <td>509</td>\n",
       "      <td>31622</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>44.0962</td>\n",
       "      <td>36049080</td>\n",
       "      <td>220.4810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>anjubeltran</th>\n",
       "      <td>203</td>\n",
       "      <td>76</td>\n",
       "      <td>1961</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>16.9758</td>\n",
       "      <td>398083</td>\n",
       "      <td>135.8064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ATCCPV</th>\n",
       "      <td>820</td>\n",
       "      <td>1049</td>\n",
       "      <td>5971</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40.3011</td>\n",
       "      <td>4896220</td>\n",
       "      <td>201.5055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KatFtAV</th>\n",
       "      <td>91</td>\n",
       "      <td>132</td>\n",
       "      <td>8634</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>36.5785</td>\n",
       "      <td>785694</td>\n",
       "      <td>292.6280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TheBStinger</th>\n",
       "      <td>349</td>\n",
       "      <td>258</td>\n",
       "      <td>9268</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>28.9094</td>\n",
       "      <td>3234532</td>\n",
       "      <td>231.2752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jlbhiexp</th>\n",
       "      <td>95</td>\n",
       "      <td>227</td>\n",
       "      <td>1611</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>16.2590</td>\n",
       "      <td>153045</td>\n",
       "      <td>130.0720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Afrentao</th>\n",
       "      <td>556</td>\n",
       "      <td>1543</td>\n",
       "      <td>37735</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>41.4299</td>\n",
       "      <td>20980660</td>\n",
       "      <td>207.1495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Millzwavy_</th>\n",
       "      <td>607</td>\n",
       "      <td>135</td>\n",
       "      <td>24238</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>42.9997</td>\n",
       "      <td>14712466</td>\n",
       "      <td>343.9976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>upiedrastudio</th>\n",
       "      <td>103</td>\n",
       "      <td>234</td>\n",
       "      <td>214</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>16.4219</td>\n",
       "      <td>22042</td>\n",
       "      <td>82.1095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brandons_Porch</th>\n",
       "      <td>2097</td>\n",
       "      <td>963</td>\n",
       "      <td>3848</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>38.1095</td>\n",
       "      <td>8069256</td>\n",
       "      <td>304.8760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mannymak22</th>\n",
       "      <td>471</td>\n",
       "      <td>392</td>\n",
       "      <td>10991</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>31.7178</td>\n",
       "      <td>5176761</td>\n",
       "      <td>158.5890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DaniellChehab</th>\n",
       "      <td>141</td>\n",
       "      <td>264</td>\n",
       "      <td>459</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>31.7860</td>\n",
       "      <td>64719</td>\n",
       "      <td>254.2880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>luisbloomin</th>\n",
       "      <td>54</td>\n",
       "      <td>289</td>\n",
       "      <td>629</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>43.8546</td>\n",
       "      <td>33966</td>\n",
       "      <td>350.8368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>michele_chef</th>\n",
       "      <td>638</td>\n",
       "      <td>1175</td>\n",
       "      <td>4022</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>34.5024</td>\n",
       "      <td>2566036</td>\n",
       "      <td>276.0192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dorii_Casey</th>\n",
       "      <td>616</td>\n",
       "      <td>342</td>\n",
       "      <td>22645</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>24.0127</td>\n",
       "      <td>13949320</td>\n",
       "      <td>120.0635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RichwayMar</th>\n",
       "      <td>905</td>\n",
       "      <td>411</td>\n",
       "      <td>9013</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>42.4105</td>\n",
       "      <td>8156765</td>\n",
       "      <td>212.0525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MillionBeccs</th>\n",
       "      <td>800</td>\n",
       "      <td>599</td>\n",
       "      <td>9723</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>17.5773</td>\n",
       "      <td>7778400</td>\n",
       "      <td>87.8865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kabongelamech1</th>\n",
       "      <td>32</td>\n",
       "      <td>215</td>\n",
       "      <td>238</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>21.8868</td>\n",
       "      <td>7616</td>\n",
       "      <td>109.4340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adrix1113</th>\n",
       "      <td>298</td>\n",
       "      <td>408</td>\n",
       "      <td>2552</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>58.0005</td>\n",
       "      <td>760496</td>\n",
       "      <td>464.0040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DavidTwitoMLD</th>\n",
       "      <td>131</td>\n",
       "      <td>189</td>\n",
       "      <td>635</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40.1479</td>\n",
       "      <td>83185</td>\n",
       "      <td>200.7395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jordanmwakeman</th>\n",
       "      <td>348</td>\n",
       "      <td>335</td>\n",
       "      <td>5372</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>31.1943</td>\n",
       "      <td>1869456</td>\n",
       "      <td>155.9715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LizagnaSucks</th>\n",
       "      <td>1791</td>\n",
       "      <td>184</td>\n",
       "      <td>82705</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>27.6676</td>\n",
       "      <td>148124655</td>\n",
       "      <td>138.3380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ymorizumi</th>\n",
       "      <td>607</td>\n",
       "      <td>603</td>\n",
       "      <td>4311</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>40.2011</td>\n",
       "      <td>2616777</td>\n",
       "      <td>321.6088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bobbyc134</th>\n",
       "      <td>150</td>\n",
       "      <td>423</td>\n",
       "      <td>599</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>25.6314</td>\n",
       "      <td>89850</td>\n",
       "      <td>128.1570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rell865</th>\n",
       "      <td>252</td>\n",
       "      <td>77</td>\n",
       "      <td>11346</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>14.2324</td>\n",
       "      <td>2859192</td>\n",
       "      <td>113.8592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jthake</th>\n",
       "      <td>13889</td>\n",
       "      <td>2585</td>\n",
       "      <td>35116</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>38.1205</td>\n",
       "      <td>487726124</td>\n",
       "      <td>381.2050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FloydBhere</th>\n",
       "      <td>1449</td>\n",
       "      <td>1947</td>\n",
       "      <td>21972</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40.5148</td>\n",
       "      <td>31837428</td>\n",
       "      <td>202.5740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WinsomeDame</th>\n",
       "      <td>343</td>\n",
       "      <td>256</td>\n",
       "      <td>3987</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>49.1271</td>\n",
       "      <td>1367541</td>\n",
       "      <td>393.0168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>simplyAbysmommy</th>\n",
       "      <td>39</td>\n",
       "      <td>54</td>\n",
       "      <td>899</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>49.1271</td>\n",
       "      <td>35061</td>\n",
       "      <td>393.0168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wa_salcedo</th>\n",
       "      <td>447</td>\n",
       "      <td>456</td>\n",
       "      <td>4287</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>19.5662</td>\n",
       "      <td>1916289</td>\n",
       "      <td>156.5296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hippyxo___</th>\n",
       "      <td>119</td>\n",
       "      <td>83</td>\n",
       "      <td>4381</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>16.6179</td>\n",
       "      <td>521339</td>\n",
       "      <td>83.0895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>captblind</th>\n",
       "      <td>780</td>\n",
       "      <td>2766</td>\n",
       "      <td>3210</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>20.0704</td>\n",
       "      <td>2503800</td>\n",
       "      <td>160.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AnneliseRentas</th>\n",
       "      <td>798</td>\n",
       "      <td>912</td>\n",
       "      <td>8672</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>50.3379</td>\n",
       "      <td>6920256</td>\n",
       "      <td>251.6895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ailsadeprada</th>\n",
       "      <td>15</td>\n",
       "      <td>118</td>\n",
       "      <td>191</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>45.8672</td>\n",
       "      <td>2865</td>\n",
       "      <td>229.3360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artdasher</th>\n",
       "      <td>723</td>\n",
       "      <td>2916</td>\n",
       "      <td>81468</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>62.0929</td>\n",
       "      <td>58901364</td>\n",
       "      <td>496.7432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>slouisecrews</th>\n",
       "      <td>97</td>\n",
       "      <td>264</td>\n",
       "      <td>917</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>24.8289</td>\n",
       "      <td>88949</td>\n",
       "      <td>198.6312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diaswilliam7</th>\n",
       "      <td>434</td>\n",
       "      <td>395</td>\n",
       "      <td>775</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>36.2723</td>\n",
       "      <td>336350</td>\n",
       "      <td>181.3615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SammiSoldo</th>\n",
       "      <td>688</td>\n",
       "      <td>641</td>\n",
       "      <td>22078</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>14.3161</td>\n",
       "      <td>15189664</td>\n",
       "      <td>71.5805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JaDorGalore</th>\n",
       "      <td>456</td>\n",
       "      <td>511</td>\n",
       "      <td>3287</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>36.0100</td>\n",
       "      <td>1498872</td>\n",
       "      <td>288.0800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TardisBlueRoses</th>\n",
       "      <td>110</td>\n",
       "      <td>182</td>\n",
       "      <td>3318</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>23.3512</td>\n",
       "      <td>364980</td>\n",
       "      <td>116.7560</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>89522 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 followers_count  friends_count  statuses_count  verified  \\\n",
       "screen_name                                                                 \n",
       "Gboarders                    386           1021            5804         0   \n",
       "PabloAcostaTuc              1090            216            2371         0   \n",
       "patigalafassi                169            170            5386         0   \n",
       "tricky_dickie87              320           1344             663         0   \n",
       "joeflech                    3658           1224           11410         1   \n",
       "MariaLaurita3p               244            648            2415         0   \n",
       "tjchev_51                    469            518            3867         0   \n",
       "casadecrews                 2980           1505           30852         0   \n",
       "tatianaeslava                270            188            3926         0   \n",
       "neelybeddoe                  593            990            3182         0   \n",
       "Angel_Rodas19                138            506            1058         0   \n",
       "kaassanndraa                4766             97            6682         0   \n",
       "osp1na                       746            131           29042         0   \n",
       "DLasAmericas              112154          12510          407453         1   \n",
       "jcscala65                     47            219             233         0   \n",
       "YBezzy_                     3475           3166           36299         0   \n",
       "MariaWiliman                  20             60             684         0   \n",
       "O_Jamison                    153            212             565         0   \n",
       "OrlPartyInvites              496            432             624         0   \n",
       "dgirlinluv                    49             83             110         0   \n",
       "letsantanna                 1140            509           31622         0   \n",
       "anjubeltran                  203             76            1961         0   \n",
       "ATCCPV                       820           1049            5971         0   \n",
       "KatFtAV                       91            132            8634         0   \n",
       "TheBStinger                  349            258            9268         0   \n",
       "jlbhiexp                      95            227            1611         0   \n",
       "Afrentao                     556           1543           37735         0   \n",
       "Millzwavy_                   607            135           24238         0   \n",
       "upiedrastudio                103            234             214         0   \n",
       "Brandons_Porch              2097            963            3848         0   \n",
       "...                          ...            ...             ...       ...   \n",
       "mannymak22                   471            392           10991         0   \n",
       "DaniellChehab                141            264             459         0   \n",
       "luisbloomin                   54            289             629         0   \n",
       "michele_chef                 638           1175            4022         0   \n",
       "Dorii_Casey                  616            342           22645         0   \n",
       "RichwayMar                   905            411            9013         0   \n",
       "MillionBeccs                 800            599            9723         0   \n",
       "kabongelamech1                32            215             238         0   \n",
       "adrix1113                    298            408            2552         0   \n",
       "DavidTwitoMLD                131            189             635         0   \n",
       "jordanmwakeman               348            335            5372         0   \n",
       "LizagnaSucks                1791            184           82705         0   \n",
       "ymorizumi                    607            603            4311         0   \n",
       "Bobbyc134                    150            423             599         0   \n",
       "Rell865                      252             77           11346         0   \n",
       "jthake                     13889           2585           35116         0   \n",
       "FloydBhere                  1449           1947           21972         0   \n",
       "WinsomeDame                  343            256            3987         0   \n",
       "simplyAbysmommy               39             54             899         0   \n",
       "wa_salcedo                   447            456            4287         0   \n",
       "Hippyxo___                   119             83            4381         0   \n",
       "captblind                    780           2766            3210         0   \n",
       "AnneliseRentas               798            912            8672         0   \n",
       "ailsadeprada                  15            118             191         0   \n",
       "artdasher                    723           2916           81468         0   \n",
       "slouisecrews                  97            264             917         0   \n",
       "diaswilliam7                 434            395             775         0   \n",
       "SammiSoldo                   688            641           22078         0   \n",
       "JaDorGalore                  456            511            3287         0   \n",
       "TardisBlueRoses              110            182            3318         0   \n",
       "\n",
       "                 account_age  klout_score       cross1    cross2  \n",
       "screen_name                                                       \n",
       "Gboarders                  5      19.8991      2240344   99.4955  \n",
       "PabloAcostaTuc             5      30.1380      2584390  150.6900  \n",
       "patigalafassi              8      18.9566       910234  151.6528  \n",
       "tricky_dickie87            5      20.9470       212160  104.7350  \n",
       "joeflech                   8      61.1196     41737780  488.9568  \n",
       "MariaLaurita3p             8      25.4155       589260  203.3240  \n",
       "tjchev_51                  5      42.8827      1813623  214.4135  \n",
       "casadecrews                8      61.8316     91938960  494.6528  \n",
       "tatianaeslava              8      17.2701      1060020  138.1608  \n",
       "neelybeddoe                8      29.3960      1886926  235.1680  \n",
       "Angel_Rodas19              5      20.4822       146004  102.4110  \n",
       "kaassanndraa               5      52.6945     31846412  263.4725  \n",
       "osp1na                     5      40.8824     21665332  204.4120  \n",
       "DLasAmericas               5      81.2263  45697483762  406.1315  \n",
       "jcscala65                  5      18.1793        10951   90.8965  \n",
       "YBezzy_                    8      42.1138    126139025  336.9104  \n",
       "MariaWiliman               5      22.4489        13680  112.2445  \n",
       "O_Jamison                  5      23.7733        86445  118.8665  \n",
       "OrlPartyInvites            8      26.8819       309504  215.0552  \n",
       "dgirlinluv                 5      13.6355         5390   68.1775  \n",
       "letsantanna                5      44.0962     36049080  220.4810  \n",
       "anjubeltran                8      16.9758       398083  135.8064  \n",
       "ATCCPV                     5      40.3011      4896220  201.5055  \n",
       "KatFtAV                    8      36.5785       785694  292.6280  \n",
       "TheBStinger                8      28.9094      3234532  231.2752  \n",
       "jlbhiexp                   8      16.2590       153045  130.0720  \n",
       "Afrentao                   5      41.4299     20980660  207.1495  \n",
       "Millzwavy_                 8      42.9997     14712466  343.9976  \n",
       "upiedrastudio              5      16.4219        22042   82.1095  \n",
       "Brandons_Porch             8      38.1095      8069256  304.8760  \n",
       "...                      ...          ...          ...       ...  \n",
       "mannymak22                 5      31.7178      5176761  158.5890  \n",
       "DaniellChehab              8      31.7860        64719  254.2880  \n",
       "luisbloomin                8      43.8546        33966  350.8368  \n",
       "michele_chef               8      34.5024      2566036  276.0192  \n",
       "Dorii_Casey                5      24.0127     13949320  120.0635  \n",
       "RichwayMar                 5      42.4105      8156765  212.0525  \n",
       "MillionBeccs               5      17.5773      7778400   87.8865  \n",
       "kabongelamech1             5      21.8868         7616  109.4340  \n",
       "adrix1113                  8      58.0005       760496  464.0040  \n",
       "DavidTwitoMLD              5      40.1479        83185  200.7395  \n",
       "jordanmwakeman             5      31.1943      1869456  155.9715  \n",
       "LizagnaSucks               5      27.6676    148124655  138.3380  \n",
       "ymorizumi                  8      40.2011      2616777  321.6088  \n",
       "Bobbyc134                  5      25.6314        89850  128.1570  \n",
       "Rell865                    8      14.2324      2859192  113.8592  \n",
       "jthake                    10      38.1205    487726124  381.2050  \n",
       "FloydBhere                 5      40.5148     31837428  202.5740  \n",
       "WinsomeDame                8      49.1271      1367541  393.0168  \n",
       "simplyAbysmommy            8      49.1271        35061  393.0168  \n",
       "wa_salcedo                 8      19.5662      1916289  156.5296  \n",
       "Hippyxo___                 5      16.6179       521339   83.0895  \n",
       "captblind                  8      20.0704      2503800  160.5632  \n",
       "AnneliseRentas             5      50.3379      6920256  251.6895  \n",
       "ailsadeprada               5      45.8672         2865  229.3360  \n",
       "artdasher                  8      62.0929     58901364  496.7432  \n",
       "slouisecrews               8      24.8289        88949  198.6312  \n",
       "diaswilliam7               5      36.2723       336350  181.3615  \n",
       "SammiSoldo                 5      14.3161     15189664   71.5805  \n",
       "JaDorGalore                8      36.0100      1498872  288.0800  \n",
       "TardisBlueRoses            5      23.3512       364980  116.7560  \n",
       "\n",
       "[89522 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "myusers = users.copy()\n",
    "numerical_cols = ['followers_count','friends_count','statuses_count','account_age','klout_score']\n",
    "\n",
    "scaler1 = StandardScaler()\n",
    "scaler2 = StandardScaler()\n",
    "# myusers[numerical_cols] = scaler1.fit_transform(myusers[numerical_cols])\n",
    "# myusers[numerical_cols] = scaler2.fit_transform(myusers[numerical_cols])\n",
    "myusers['cross1'] = myusers['followers_count'] * myusers['statuses_count']\n",
    "myusers['cross2'] = myusers['klout_score'] * myusers['account_age']\n",
    "myusers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We are training a model to predic the 'verified' label. Assuming that any verified user is authentic\n",
    "##### Note: By authentic we always mean 'trusted to take info from'. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.31353299 0.14327218 0.14036318 0.04954549 0.17047953 0.18280662]\n",
      "[[23445     0]\n",
      " [   15   413]]\n",
      "('Precision Score: ', 1.0)\n",
      "('Recall Score:', 0.9649532710280374)\n",
      "('Average Precision Score', 0.9655815959138917)\n",
      "[0.31353299 0.14327218 0.14036318 0.04954549 0.17047953 0.18280662]\n",
      "[[23445     0]\n",
      " [    7   420]]\n",
      "('Precision Score: ', 1.0)\n",
      "('Recall Score:', 0.9836065573770492)\n",
      "('Average Precision Score', 0.9838997879400518)\n",
      "[0.31353299 0.14327218 0.14036318 0.04954549 0.17047953 0.18280662]\n",
      "[[23445     0]\n",
      " [    8   419]]\n",
      "('Precision Score: ', 1.0)\n",
      "('Recall Score:', 0.9812646370023419)\n",
      "('Average Precision Score', 0.9815997576457736)\n"
     ]
    }
   ],
   "source": [
    "# users['Our_Score'] = users['followers_count'] * 0.48 + users['friends_count'] * 0.26 + users['statuses_count'] * 0.26\n",
    "skfolds = StratifiedKFold(n_splits=3, random_state=42)\n",
    "train_set, test_set = train_test_split(myusers, test_size=0.2, random_state=42)\n",
    "X_train = train_set.iloc[:,[0,1,2,4,5,6,7]]\n",
    "Y_train = train_set['verified']\n",
    "\n",
    "for train_index, test_index in skfolds.split(X_train, Y_train):\n",
    "    forest_clf = RandomForestClassifier(random_state=42, n_estimators=30)\n",
    "    X_train_folds = X_train.iloc[train_index]\n",
    "    y_train_folds = (Y_train.iloc[train_index])\n",
    "    X_test_fold = X_train.iloc[test_index]\n",
    "    y_test_fold = (Y_train.iloc[test_index])\n",
    "    \n",
    "    forest_clf = forest_clf.fit(X_train,Y_train)\n",
    "    y_pred = forest_clf.predict(X_test_fold)\n",
    "    print(forest_clf.feature_importances_)\n",
    "    print(confusion_matrix(y_test_fold, y_pred))\n",
    "    print(\"Precision Score: \", precision_score(y_test_fold, y_pred))\n",
    "    print(\"Recall Score:\", recall_score(y_test_fold, y_pred))\n",
    "    print(\"Average Precision Score\", average_precision_score(y_test_fold, y_pred))\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Here, it's obvious that a klout score can hardly be a label to identify the authinticity of the user. Because it's mostly  in the range 30-40.\n",
    "#### So, again, I don't think we can rely on it, unless we are going to be strict and consider a strict threshold."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1.49e+04, 2.18e+04, 1.83e+04, 2.05e+04, 1.05e+04, 2.48e+03,\n",
       "        7.66e+02, 8.90e+01, 1.52e+02, 1.50e+01]),\n",
       " array([10.  , 18.41, 26.81, 35.22, 43.63, 52.03, 60.44, 68.85, 77.25,\n",
       "        85.66, 94.06]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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qvi0GVfWBqlpVVRMMJhH/uap+B3gAeFdrtpSPz38Azyb5hVa6gsFX23v+vOwZYF2S17Sft6PHyHNoDvwluFMsya8C/wI8xstj6h9kMO9wD3ABg5P7uqo6MpZOLhJJLgf+pKremeSNDK4kzgYeAX63qn44zv6NS5KLGUzWnwk8BdzE4D96nj9Nkr8AfpvB3YGPAH/AYI7Bc2iWDAdJUsdhJUlSx3CQJHUMB0lSx3CQJHUMB0lSx3CQJHUMB0lSx3CQJHX+F+w66OyBKl9lAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2b6cc36f50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(myusers['klout_score'], bins = 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RandomForestClassifier to predict the klout score.\n",
    "#### We converted from a regression problem to a classification problem by dividing each score by 10 and rounding the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.35827813 0.20764785 0.2629446  0.17112943]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.metrics import explained_variance_score\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "train_set, test_set = train_test_split(myusers, test_size=0.2, random_state=42)\n",
    "\n",
    "X_train = train_set.iloc[:,[0,1,2,4]]\n",
    "Y_train = numpy.round(train_set['klout_score']/10).astype(int)\n",
    "X_test = test_set.iloc[:,[0,1,2,4]]\n",
    "Y_test = numpy.round(test_set['klout_score']/10).astype(int)\n",
    "\n",
    "forest_clf = RandomForestClassifier(random_state=42, n_estimators=100,n_jobs=-1,min_samples_leaf=30)\n",
    "forest_clf = forest_clf.fit(X_train,Y_train)\n",
    "y_pred = forest_clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This proves that the klout score is not gonna be easy to predict as we have a very low accuracy, and no single prediction was right for 70s, 80s, or 90s."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy : 33.9569952527%\n",
      "Accuracy +- 1: 38.9555989947%\n",
      "Accuracy +- 2: 20.3183468305%\n",
      "     1    2    3    4    5    6    7    8    9    \n",
      "[[ 207  661  201  345   23    2    0    1    0]\n",
      " [ 110 2590  890 1303   64   10    0    0    0]\n",
      " [  57 1770  920 1593   79   13    0    0    0]\n",
      " [  65 1586  915 2164  157   13    0    0    0]\n",
      " [  18  479  232  791  179   11    0    0    0]\n",
      " [   3   87   38  154   69   20    0    0    0]\n",
      " [   1   17    2    4    9    8    0    0    0]\n",
      " [   0   11    6   13    7    4    0    0    0]\n",
      " [   0    1    0    0    1    1    0    0    0]]\n"
     ]
    }
   ],
   "source": [
    "x = Y_test - y_pred\n",
    "print(\"Accuracy : {0}%\".format(len(x[numpy.absolute(x) == 0])*100.0 / len(x)))\n",
    "print(\"Accuracy +- 1: {0}%\".format(len(x[numpy.absolute(x) == 1])*100.0 / len(x)))\n",
    "print(\"Accuracy +- 2: {0}%\".format(len(x[numpy.absolute(x) == 2])*100.0 / len(x)))\n",
    "\n",
    "print \"    \",\n",
    "for i in range(1,10):\n",
    "    print \"{0}   \".format(i),\n",
    "print \"\"\n",
    "print(confusion_matrix(Y_test, y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### This is the confusion matrix of the last results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion matrix, without normalization\n",
      "Normalized confusion matrix\n"
     ]
    },
    {
     "data": {
      "image/png": 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Zy7bY2Zd6Lr/v+tW0bVKb997uQWCAf4Z0X792jVOnTlCrtg8A48Z8QcXyzixdvIjRYydkSHZKOk+efKbTnAQGBuDo6BS/7+DgSEBAzvRVnC3rIixM37SQQt4JtrnPidP8v65Ei0H2EM2heXm0SAxBaC4DIfnvOmQK6UbJNCOqW/07QogM903CHz3i7T7dmDB5BgUTtG6MsXXzBmr51KVo0dTf7DEx0Vw8d4rXe7zF72t2kSdfPhbO/Z6YmGjCHj5g7vKtDBk+njEf9cccQx/hjx4xoHdXJkwxrS7pwdLSknXbD7H35CVOHT/K4QN72bRuFX0GJPXlDE1btGHn0Qts2HmY+o1eYfjQgenW++jRI3p068S0Gd/Ft0LHTZjExcs36Nq9B7/8NCvdslPS2b3Lm0z/5vtELV9zkdw9N2eLOivJlnUx35hoXOiUlcBfUspVAFLK21LKGN2J9TyexZ3yR/ObG4cjmk9hY+lGycyW6Hy0AdsMERUVxdt9uvJG5260fU2LJmJrZ8ftW0GANtZYwtY20TlaV76rSfJtS5bGtmRpPKtpQy2vtOzAxX9PY1uyNI1atEMIgUc1L4SwIPR+xtxrRkVF8XbvrrzRpXt8K9nWNuW6ZIRChYvgU78hB/ft4vrVyzSrU5nG3u5ERDymqY82gVG0WHFs9KGJrr36c/b0iXTpioqKokfXTnTt1oMOr7/x3PGuXXuw+m9TfQ+brrN7lzfp2r0nr3d8Xqc5cHBwxN//We8uIMCf0qXNHeopa8h+dRFpbYkal6S9Df4HnNcdvselJ+x6dUQLmwJaWOhuQggbIUQ5oAJwGC0UegU9qoE12uTT8+OFCcg0Iyql3I3mKT4jMhj2/mAqVHTnnfc/ik9v0bodyxZrkSKWLV5IyzbPAm4+fPCAg/v20KpN++fkJUdxW3vsSjpw48olAI4e2EVZVzcaNW/L8YOao/YbV/2IjoqkSNHiGarLx+8PooJb0rq0Z9miBVpdFi1IVJf0cC/4Lg8fhALwJCKC/bt3ULlqDQ6evcauoxfYdfQCefPmY/sh7Vm6czso/txtvuspXyHtAVOllLw7eABu7u588NGzCTC/S5fif29YvxY3t+Ti/6UPKSXvDHwbN/dKfPhx8pNu5sC7Vi38/C5x7epVIiMjWb50CW3bvZZp+jKTbFeXuMX25mmJ1keLBts0yXKmaUKIM0KI08ArwMcAekTdZcA5YDPwnt5ijUaLsOGLFlJ8mZHov/G88MX2+uDwIAAHJ+dExw4f3M+KpX9RyaMyzRvUAmDkmAm8//FnDO7Xg8ULfsfB0Ym5fyyOP2fT+jU0btqcfPnzm1yGj7/8mvGfDiY6KpLSjmUZOXUWefPmY8qoofRuWw8rK2u++HpOfNen0yvVCH8URnRUFHv+2cC3v6+knGvKBuLwwf2sWPIXlTwr06yBt16Xrxg67DMG9e3BogXzcXB0Yp5elzu3b9GySV3Cwh5iYWHBvJ9+ZPehU6kOAdy9fYvPPhhIbEwssbGxtOnwBk1btDGa/495P7FtywYMlgYKFynKtJnPDTOlyoH9+1j81wI8K1ehTi1t8mzchEn8Of83Ll78DwsLC5ydyzBz1k9plm2M/fv2seivBVSuXAUfLy167/iJk2nV2nhd04PBYOC7H2bRvm1LYmJi6NuvPx6enmbVAdCnV3f27NpJcHAw5cs68uWY8fTr/7ZZdWRVXdKEmRbbSyn3kvx45sYUzpkETEomfWNK5yUlU5c46bNk66WUJi1+S7rEKbNQDkjSjnJA8nKTKUucCjpIG+93Us+o82TnGJOXOGUlL7wlqlAoXlIEueKzT2VEFQrFi+NFrw4wA5m5xGkxWghXNyGEvxDCvAM8CoUih2O+2fkXSaa1RKWU3TNLtkKhyCXkgpao6s4rFIoXRzZuYZqKMqIKheLFYOKXSNkdZUQVCsWLQ7VEFQqFIgOolqhCoVCkFxWoTqFQKNKPINWwHzkBZUQVCsULQrVEzY6FEOSxyvw3U/MuX2a6jvm/jcx0HQC7rz7IEj1T25jPA1NKqG/nXzLUmKhCoVBkANUSVSgUigygWqIKhUKRToQaE1UoFIqMoVqiCoVCkX5eeKA8M5Ct29LvvzOACmVKUde7Wnza6lUrqOtdlWIFrDhx/Gii/N9On0rNKm7Uqu7Btq2+RuU62hdh89wPOLFyNMdWfMF73ZsA8MXgNlz2ncjBJSM4uGQELRt4AGBlsOSXcb04smwUh5aOoKFXhXhZNSo5cWTZKM6uGcs3wzulWJ8NC+fxaaemfNq5GTNHvkfk0yecPbyPET1a8WnnZswZ8xEx0Zqneikl86d9yYev1Wd4l+ZcPX/GqNxeNUsxtU1FvmjmEp/WzsOWUc1cGNnUhffrO1M4z7P3Zeeq9oxr4cqoZi446R7ri+W14vNXyjGyqQujm7vQoFzR5/SkRGhoKL27d8armgfe1T05dPBZhIKZ331DobyW3AsOTpPMpAwe0B/n0nZ4VX8WKCEkJIS2rV6lcqUKtG31Kvfv38+QjuTY4ruZqp5ueLq7Mn3aVLPLzyodWanHFLQQS8LkLbuSrY1o9159WLF6Q6K0Sh6e/LloOfUaNEyUfuH8OVatWMaBo6dZsXoDn348lJiYmGTlRsfEMuLbVdR4cyKN+8xgcNdGuLuUBODHhTuo020qdbpNxXfvOQD6v1EfgFpdJtPunVlMHdYx/qbOHNWV9ycupnKH8ZR3tqVFfY9kdYbcCWLzkt+YvHADM5ZvIzY2hn2bVjNn7Ed8MGUOM5Zvo0QpB3atXw7AyX3bCbpxle/X7GXg6K/5dYrxJVMHrz9g9v4bidL+uXiPyduuMGX7Fc7eekRr9xIAeNoXwLaADeO2+LHoeBDdqmvBEB88ieKbXdeYsv0K03dcpUXF4okMb2p8/ulHNG/RkmOnzrH/8Anc3CsB4H/zJtu3b8UpSfys9NC7bz/WrN+cKG3GtKk0adqMs+cv0aRpM2aY2TDExMTw0QfvsWbdJk6cPsfyJYs5f+5cjtORlXpMRgiEhelbdiVbG9H6DRpRtFji2PFu7pWoUPH5iJQb16/ljU5dsLGxoUzZcri4lOfY0cPJyr0V/JCTF/wBePT4KReu3qK0bRGj5XB3KcmOw/8BcPf+Ix6EReDl4UzJEoUomD8Ph05fBWDR+sO0b1LVqJyYmGginz4hJjqapxER2OTNh5WVNaXLaC3IKj6NOLxNi491dOcWGrXrhBCCClW9eBz2kPt3bycr1+/eY8IjE78wnkTHxv+2tnz2AFYtXZBDN7RooNfuR5DXyoJCeQzESIiO1eJtGSwt0vTmf/jwIfv37qFPP83vtrW1NUWKaNdz5PBhfDXpa7O0JBo0bESxJM/D+nVr6NW7LwC9evdl3drVGdaTkCOHD1O+vCvlXFywtramc9durF+3JsfpyEo9aUG1RLMRQUGBODg6xe+XdnAkKDAw1fOcSxWjupsjR85eA+Cdbo04vHQkP4/tSZGCeQE4czGA9k2qYGlpQZnSxanh4YRjyaKUtitCwJ3QeFkBt0MpbZe8MS5mV4p2vQfzXhsf3mlRk3wFC1K3RXtioqO5fO4UAIe2beDeba3MIXduUdy+dKLzQ+7eStM1ae9hy8RWFajlVJj15+4CUDiPgdCIqPg8oRHRFNFbnEXyGhjVzIWJrSqw9WIwD0wMgnft6hWKl7Dl3UH9aVDHi/ffHUh4eDgb16+lVGkHqlStlrqQdHLn9m1KldJa06VKleLunTtmlR8YGIBjgufKwcGRgICAHKcjK/WkBWVEU0AI4SSE2CGEOC+E+FcI8WFm6QJtDDGZMqR4Tv681iyeMYDPZqwkLPwJ85bvwaP9OHy6TeVW8EOmDnsDgD/WHCDgdij7/hrO9M/e5OCpq0THxCQbn9VY9NRHD0M5tnMLP64/wE++x3gaEcHejav4YMoc/pwxni96tyVvvgJYWsZ1oZOpT7IajbPu3F1Gb77EkZsPaFxea8Eld0niNIVGRDN52xXGbfHDx7kIBW1M+3osOjqaUyeP8/bAd9h78Bj58uVnysTxTP96Cl+MGZ+mMmc30vNcZUcdWaknLSgjmjLRwCdSykpAHeA9IUTyA4ZmoHRpBwL8b8bvBwb4U1JvoSSHwWDB4hkDWbrpKGu2ay3BOyFhxMZKpJT8tmof3pXLABATE8vwb1ZRp9tUunw8lyIF8+J34y4Bd0JxSNDydLAvQtDd5D/DPHtoL7YOThQqWhyDlRW1m7bm4uljVKzmxfjfVjFpwQbca/pQ0rkcoLU841qloI2pFrW1T9e1OXrzIdVLFwT0lmdeq/hjRfIanmtxPngSTVDYU1yL5zNJvoODIw4OjtSq7QPA6x3f5NTJE1y/fpX6tWtQ2c2FgAB/Gtb15vattLWmU8PO3p6goCAAgoKCsLWzM6t8BwdH/BM8VwEB/pQuXTqFM7KnjqzUYzIijVs2JdOMqJQySEp5XP8dBpwHHDJLX+u27Vm1YhlPnz7l+rWrXL7sh5d3baP5fx7bk/+u3mLmwu3xaSVLFIr/3aFpNc5d1v458+axIl8eawCa+rgTHRPLhSu3uBX8kEePn1K7SlkAerSrzfpdp5PVV7xkafzOnOBpRARSSs4e3otDOVcehGgz1lGRT1k7fw7N3+wNgFfjFuxevwIpJZdOHyNfgYJpMqK2+a3jf1cpVYDbjyIBOB0Uho+zZvjLFs1LRFQsD59EUySvASt98D6vlQUuxfLGn5Ma9iVL4uDoxKWL2rjxzp3bqVa9Bldu3OLsf1c4+98VHBwc2XPgKPYlS5pcB1No2+41Fi74A4CFC/6gXfsOZpXvXasWfn6XuHb1KpGRkSxfuoS27V7LcTqyUo+pCExvhWbnlmiWrBMVQpQFagCHkjk2CBgE4JhkBvftvj3Zt2cX9+4F41mhDCNGj6Vo0WJ8/smHBAffpesbr1GlajVWrt1EJQ9PXn+zE3W8qmAwGJj+7UwsLZPvjtar7kLPdj6cuRjAwSUjABg7ay1dWnpT1c0RKSXXg0IYOnExALZFC7JuznvExkoC74by9ug/4mV9MHkpc8f3Iq+NFVv2nYuf0U9KhSo18WnWhpE9W2FhaaCsmyfN3ujJ0tnTOL5nG1LG8mqnPlSura0EqNGgKSf3bufDDg2wyZOHd8Z9a/T6vlXLgQq2+ShgbWBi6wpsOHcXz5IFsC9gjQRCHkex+IT2Qvj31iM87QswroUrkTGxLDymtXZLFrThjXr2SKl1+bddukfgw6dGdSZl+rc/MOCt3kRGRlK2bDnmzP3N5HNNpU+v7uzZtZPg4GDKl3XkyzHj+XT4CHp178Ifv/8PJydn/lqy3Kw6DQYD3/0wi/ZtWxITE0Pffv3x8PTMcTqyUk9ayM7G0VSEsTE8sykQogCwC5gkpVyVUt4aNb3ljr3P2VmzU6p+pg7PAsqLU3qxMuSauc5cRX0fb44dO2pWi2co7iILtZlocv77C3sek1J6m7MM5iBTW6JCCCtgJfBXagZUoVC8fOSGlmimGVGhXZ3/AeellMb7ogqF4uUkm08YmUpmtkTrA72BM0KIk3raKCnlxkzUqVAocggCgYVFzh++yTQjKqXcS654zygUisxCdecVCoUiI+R8G6qMqEKheEEI1RJVKBSKDKGMqEKhUGQAZUQVCoUincR99pnTyfnrCxQKRc7FTA5IjHmNE0IUE0JsFUJc0v8W1dOFEGKmEMJPCHFaCFEzgay+ev5LQoi+qVVBGVGFQvFiEGZ1hWfMa9wIYJuUsgKwTd8HaA1U0LdBwE+gGV1gLOAD1AbGxhleY2Sr7rwQYLDM/Oa9xxtvZrqOmEz2SRDHpaCHWaIna2pj3B+ruckN3cjcgLnug5QyCAjSf4cJIeK8xnUAmujZ/gB2Ap/r6X9K7YE7KIQoIoQopefdKqUM0cu3FWgFLDamO1sZUYVC8XKRxthJJYQQCaNTzpVSzn1OZmKvcfa6gUVKGSSEiHM46wDcTHCav55mLN0oyogqFIoXRhpbosGpeXHSvcatBD6SUj5MQX6ygSlSSDeKGhNVKBQvhLSMh5pibI14jbutd9PR/8YF4fIHnBKc7ggEppBuFGVEFQrFC8NcRjQFr3FrgbgZ9r7AmgRU8AY0AAAgAElEQVTpffRZ+jrAA73b7wu0EEIU1SeUWuhpRlHdeYVC8cIw4wRfsl7jgKnAMiHE28ANoLN+bCPQBvADHgNvAUgpQ4QQXwFH9HwT4iaZjJGjjKhnRRcKFCyIpaUlBoOB3fsP07dXNy5dvAjAg9BQChcpwv7Dx1OVNaa9Ow0rFCckPJKuv2jXa8obHpTRg7MVzGMg7Ek0PeYdpXVle3rXfdbCr2BfgJ7zjnLx9iPcSxZgfIdK2Bgs2OcXwnTfS0Z1bl70P3asXoSU8ErH7rTuMYBF30/k+O5/MFhZYe9YhkHjviF/wcIArPltFrvWLMHC0pI+n46nar0mycod1tSFOmWKEhoRxaAlWoyn3rUcae1hx4MnWnjk3w7e5Mj1UAwWgg+blKOiXQFipeSnPdc5HajN8E9q506x/FZYWgjOBoYxa/dVYk2YLL908T/e6t09fv/a1SuM+nI8DRs34eOhQwgPf4RzmTLM+30hhQoVSkFSygwe2J/NGzdga2vH0ZNnABg/9ks2rFuLsLDAzs6OX3793ezB17b4bubTYR8SExNDv/4D+Gz4iNRPyoY6slKPyZjJhqbiNa5ZMvkl8J4RWb8BJse3yfTwIGmhppe33L3/sNHjnhVd2LX/MCVKlEj2+MjPP6VwocKM+OLLFPU0nraLGs6FiYiMYXyHSvFGNCEfNy/Po6cxzNtzLVG6q11+vulShQ6zDgLwR38vZvhe4kzAQ2Z2r8qSw/7svxzCJ20rJDrvpt8FZo16jwl/rMdgZcXXQ3vTf+Rk7gTcwLNWfSwNBhbPnAxA9w9G4X/lIrNHvc+EP9dx/+5tprzbnW/+3o1FkrhR8w/4U6VUQSKiYhje3DWREY2IimHFyaBE+dtXtqeiXX6+2X6FInkNTGrnzvvLzyKBfFaWPI6KAeDLVhXY4xfCTr97AKx423jQv4TExMTgXt6JbbsO0KdHFyZOnUaDho1Z8MdvXL92jdFjJ6R4vlUKS9z27tlN/gIFGPhW33gj+vDhw3jDPGfWTM6fP8ePs39OtZymtoBiYmKo4lGRDZu24uDoSIM6tfhj4WIqeZgvcG1W6MionswID2JjX0E69PzB5PxXv2ubLcOD5JoxUSklf69YTqeu3UzKf+LGAx5ERBs93tzDjs3/3n4uvaWnPb56eokC1hSwseRMgNaS23D6Fk3ckjfwgVf9cK1cE5u8ebE0GKhU04cjOzZTtW5jLA1ah8C1cg1CbmtG79jOLdRp8RpW1jbYOThj71SWy/+eTFb2maAwwp7GmFTvMsXyctJfK29oRDSPImOoaJcfIN6AWloIrCws0rU2dOeObZQrVx7nMmXwu/Qf9Rs0AuCVpq+ydnXGIsQ0aNiIYkWLJUpL2LINDw83+/rPI4cPU768K+VcXLC2tqZz126sX7cm9ROzmY6s1GMy5l1s/8LIUUZUCMHr7VrRsG4tfvs18fKwfXv3YGdvj6trBSNnm04N58KEhEdyMyTiuWMtPOzwPatN8NkWtOF2goiYtx8+xa6gTbIyHV3duHDiEGGh93kaEcHJfTsIuZ140m/X2mVUq/8KAPfv3qJ4yWfd0mL2pQi5k7aY7a9VKcnPXaswrKkLBWy0FuyV4MfULVcUC6FF+Kxgmx/bAs/KPLm9O8ve8uJxVAx7Lt9Lkz6AVcuX0qmL9iKr5FGZjevXArB61QoC/G+mdGq6GfvlF1RwcWbp4kV8mUpLN60EBgbg6PhsKMfBwZGAgIAcpyMr9ZiKQPvAxtQtu5JpRlQIkUcIcVgIcUr/lnV8RmVu3bGHvQePsmrNBub98hN79+yOP7Zi2ZL4f96M0srTHt9/7zyXXrl0IZ5Ex3D5bjiQtgVlDuUq0L7vEKYO6cHXQ3vhXNEjUdd89f+0EM/1W3fU5CQzzJKWt/G6s7fpt/AE7y49Q0h4FIPqlwFg8/k7BD+KZHaXKrzTsAznboUl+rpq1LoLdJt/DCtLQXWHwibrA4iMjGTjhnW8/kYnAGb/8ivzfplDo3q1ePQoDCtr6zTJM5XxX03i0pUbdO3eg5/nzDKr7Izeh+yiIyv1mI7AwsL0LbuSmS3Rp0BTKWU1oDrQSl9KkG5K6RMGtnZ2tH/tdY4d1cYyo6OjWbvmb97s1CWDRQZLIXjF3ZYtyRjRFp52bD77LP1O2FPsCz1rxdkXsuFumPFY7U1e78akRZsY8+tKChQqTEmncgDsXrecE3u2MWTij/EPdTG7Uty79aylGnI7iKK29ibXIzQiilipGfVN5+7gblcAgFgJP++7zrtLzzBu40XyWxsICH2S6NyoGMnBq/epWy7FT4afY6vvJqpVr4GdvVbOim7urF7vy+79R+jUpRvlypVPk7y00rVbD9b8bd6gsg4OjvgnaEEHBPibfeIqK3RkpZ60oLrzKSA1Hum7VvqW7lms8PBwwsLC4n9v27YVD09PAHZs/4eKFd1xcHTMYKmhtktRrt17zJ0kxlAAzT1s2ZJgnDT4USThkTFUdtDG5dpWLcmui8FGZT8I0Y4FBwVwZPtm6rXqwKn9O1j3x0988t1v2OTNG5/Xq/GrHNyylqjIp9wJuMGtm9co71nd5HoUy2cV/7u+S1GuhTwGwMZgQR49tntNx8LESsmN+xHksbKIP8dCQK0yRbkZ+vxwRkok7Q3cvaO9cGJjY5k+dRL9Bw5KkzxT8Lv0bDXEhvVrqejmblb53rVq4ed3iWtXrxIZGcnypUto2+61HKcjK/WYTBq68tnYhmZ63HlL4BjgCsyWUh5KJs8gNC8qODk5G5V15/ZtenTVHIdER0fTpWt3Xm3RCoAVy5bSuWvXNJVtUkcPvMsUoUg+KzZ+WJdfdl1jzckgWnra4Xv2+QmlmmWKcOfh0+dabVM2XmTca+7kMViy7/I99vkZX1L2w2eDCHsQisFgoN+IieQvVIQ/vv6SqKhIpgzpAYBrlZq8PWoKjuXd8Hm1HcM7NcXSYKDf5xOfm5mPY+SrrlR1KEThPAb+6luDBYf9qepQiPIl8iOl5HbYU37YeRWAInmtmNzeHSkhODySr//xAyCPwZLxbdywstS6Tif9H7I+metgjMePH7Nj+z98P+vZzPiKZUuY98scANp36EivPm+ZLC85+vbqwe7dO7kXHIxrOSdGjxmH76ZNXLr4HxYWFjg5l2Hm7J8ypCMpBoOB736YRfu2LYmJiaFvv/7xL++cpCMr9ZiKgGzdTTeVLFniJIQoAvwNDJVSnjWWL7UlTuai8bRdma4j6RKnzGL+Af8s0WPqEqeMktISJ3OSnbuH2ZHMWOKUt1RF6dLf9DHsc5NbvrxLnKSUoWguqFplhT6FQpEzUGOiKSCEsNVboAgh8gLNgQuZpU+hUOQw1JhoqpQC/tDHRS2AZVLK9ZmoT6FQ5CC0daLZ2DqaSKYZUSnlaTTHqAqFQpEM2bubbio5ygGJQqHIXeQCG6qMqEKheEGI3LHESRlRhULxQlBjogqFQpFBcoENVUZUoVC8OFRLVKFQKDJALrCh2c+IZoWj/RLF8qaeKYdw+IBfluiJ7Js1X9tZGfEPoMiFCNUSVSgUinQT55Q5p6OMqEKheEGoxfYKhUKRIXKBDVVGVKFQvCDUYnuFQqFIP7llsX2OivYZGhpK7+6d8armgXd1Tw4dPMDkieNxc3Givk9N6vvUxHfzRpNkDWvqwtK3vPilW9X4tF61HPmrb03mdK3CnK5VqFWmCKCFEP60WXl+7laVed2r0bXms7g0+a0tGd2yAr/2qMa87tWoZF/AqM7Ni/7H512aMbxzMzYt+hWAQ1vXM7xzM3p5O3Pl3Kn4vHcDb9Kvnisju7dkZPeW/G/ySKNyHYrlY92o5hz6uj0HprbjnZZuAHSo7cyBqe0I+bMn1cslDjXs6VSELWNbcmBqO/ZNaYuNVeJHYfGwJuyf0s6ozg/eHUClcqVpWPtZyJJpkydQpWIZmtTzokk9L7b6bgJgxdJF8WlN6nlhV8iaM6eTD/+cEoMH9qeMgz3e1avEp40f+yW1a1bDx7sG7du0JDAwMAUJ6WOL72aqerrh6e7K9GlTzS4/q3RkpR5TyQ3+RHNUS/TzTz+ieYuWLFi8nMjISB4/fsy2f7bw3tCP+ODjT9Ika8v5u6w9fYvPmrsmSv/7VBArTgYlSmtUvhhWloJ3lpzGxmDB3O7V2HnpHrfDnvJuw7IcvRHKRN9LGCwENobk30s3/S6wY/UiJvyxHoOVFV8P7U2NBs1wdHXjo+lz+W3yiOfOsXcsw5TFvqnWJTpWMnrRcU5dC6FAHgM7v2rDjjO3OO8fSu8fdvN9f59E+S0tBHPfrc/gn/dx9kYoRQtYExX9bG1Ze28nHj2JSlFnt559eXvwEN4f1D9R+jvvfch7Hw5LlNapaw86ddXCn5z79wx9ur1Jlaqmx4uKo3effrwz5H0GvtU3Pu3jTz5j7PivAJgzayZTJk3gx9k/GxORZmJiYvjog/fYsGkrDo6ONKhTi3btXqOSh0eO0pGVetJCNraNJpNjWqIPHz5k/9499On3NgDW1tYUKVIk3fLOBoUR9jTGpLwSLQaRhQBrSwuiY2N5HBlNPitLqpQuyObzdwHNmIVHJi8z8KofrpVrYpM3L5YGA5Vq+nBkx2YcylWgdNmMRcG8HRrBqWtabKdHT6K5GPiAUsXycjHwIX5BD5/L37RKKc7eDOXsjVAA7j+KJFZfoJvfxsCQ1pWYsdpoFBcA6jVoSNGixVLMkxyrli+lY6e0xcOKo0HDRhRLorNQoULxv8PDw83eYjly+DDly7tSzsUFa2trOnftxvp1a3KcjqzUkxZyQ0s0xxjRa1evULyELe8O6k+DOl68/+5AwsO1+O9zf55N3VrVGTL4be7fv58hPe2rlOSnrlUY1tSFAjbawu89l0N4Eh3D4re8WNi3BitOBBH2NIaShW14EBHNJ03LM7tLFT56xcVoS9TR1Y0LJw4RFnqfpxERnNy3g5DbKXc97wbcZFSPVnw1sBMXTjwX4y9ZnEvkp0qZYhy7fM9oHteShUBKVg5vyq6Jbfig7bOWyBedqjF703kiIqNN0peU/82dQ+M6Nfjg3QGEJnMv1qxazhud02dEjTH2yy+o4OLM0sWL+HLsBLPKDgwMwNHRKX7fwcGRgICAHKcjK/WYTC7xbJ/pRlQIYSmEOCGEyJBX++joaE6dPM7bA99h78Fj5MuXn29nfM2Age9w6twl9h06TsmSpfhixKfp1rH+7G3eWniCIUvPEBIexaD6ZQBws8tPrIQe84/TZ8EJ3qxeipKFbLAUAlfb/Kz/9zbvLTvDk6iYROOlCXEoV4H2fYcwdUgPvh7aC+eKHkajdwIUKWHHDxsOMXnRZnoNG8PsL4by+FFYiuXPb2Pgzw8bMWrhUcIijHfHLS0FdSraMXDOPlpN8KWdtxONPEtSxbkoLvYFWX/0ptFzU6LfgMEcOf0fO/Yfw75kKcaM+izR8WNHDpE3b14qeVROl3xjjP9qEpeu3KBr9x78PMf0wGemkFwgR3O3irJCR1bqMRWB6a3Ql70l+iFwPqNCHBwccXBwpFZtbXzv9Y5vcurkcezs7bG0tMTCwoK+/Qdw7OiRdOsIjYgiVmrd903n7uBmp00SvVKxBEevhxITK3kQEc25W2FUtMtPcHgkdx9F8t/tRwDsvRyCq21+o/KbvN6NSYs2MebXlRQoVJiSTuWM5rWytqFgkaIAlKtUFXvHMty6ccVofoOl4M8PG7F8/zXWpWIEA0Mes+/CbUIePSUiMoatpwKpVrYYtSqUoFq5Ypz+7nU2jWmBa6mCrP/i1RRlJcTO7tm96N3vbU4cO5ro+N8rl9GxUzcjZ2ecrt16sObvVWaV6eDgiL//s+sZEOBP6dLJvyizs46s1JMWVEs0FYQQjkBb4NeMyrIvWRIHRycuXfwPgJ07t+Pu7sGtoGeTQOvWrKaSR/rjaBfLZxX/u55LUa6FPAbgblgk1R21sTcbgwXu9gW4ef8J9x9HEfzoKY5F8gBQ3bEwN+5HGJX/ICQYgOCgAI5s30y9Vh2M5n14/x6xMdr46h3/69y6cRU7B2ej+WcNqMvFwAfM3pT6+2rb6SA8nYuS19oSSwtBfXc7/gt4wG/bLlFp6Cqqfrya1hO24BcURrtJW1OVF8etW8/uxcZ1q3FPcC9iY2NZ+/dKOnbqYrI8U/C7dCn+94b1a6no5m5W+d61auHnd4lrV68SGRnJ8qVLaNvutRynIyv1pAULIUzesiuZPTv/PTAcKGgOYdO//YEBb/UmMjKSsmXLMWfubwz/5EPOnD6FEALnMmX44UfTZmZHvOpKVYdCFM5jYGHfGiw47E9Vh0KUL5EfKSW3w54yc+dVANaevcUnTcszt7u2HGrLhbtcvacZ2Nl7rvH5q64YLAS3Hj7lm+2Xjer84bNBhD0IxWAw0G/ERPIXKsKR7Zv4Y/oYwu6HMP3DfpSp6MGI2X9x4fghVvz8jd6ys6T/qCkUKFw0Wbl1KtrSraEL/964z55JbQCYsOwkNlaWfN3HmxIF87Ds01c4c/0+b07bzoPHkczedJ7tE1ojJWw9FcCWk2kbGxv0Vi/27dlFyL1gqrqVZfioMezfu4uz+r1wci7LjJlz4vMf2LeH0qUdKFvOJU16EtK3Vw92797JveBgXMs5MXrMOHw3beLSxf+wsLDAybkMM2f/lG75yWEwGPjuh1m0b9uSmJgY+vbrj4dn+l/UL0pHVupJC9nYNpqMSG6cxCyChWgHtJFSDhFCNAE+lVI+t/BQCDEIGATg5OTs9e/Fq5lSnoR0+t/hTNfRt65jpusAGPLtzizR4/dz5nXDE5LfJmu8OGXnMbbsSH0fb44dO2rWi1a4TCVZb8R8k/NvHlLnmJQya9yJpYHM7M7XB14TQlwDlgBNhRALk2aSUs6VUnpLKb1L2NpmYnEUCkV2IzdMLBntzgshChk7BiClfH4BYuLjI4GRuqwmaC3RXukoo0KhyKVkY9toMimNif6LNlGdsJpx+xIwPsuhUCgUqSDQljnldIx256WUTlJKZ/2vU5L9NBlQKeXO5MZDFQrFy42FMH1LDSHEb0KIO0KIswnSxgkhAoQQJ/WtTYJjI4UQfkKI/4QQLROkt9LT/IQQz3+PnbQOplRUCNFNCDFK/+0ohPAy5TyFQqEwShrGQ00cE50PtEom/TspZXV926ipFh5AN8BTP2eO/mGQJTAbaA14AN31vEZJ1YgKIWYBrwC99aTHgPk8PCgUipcWcy62l1LuBkJMVN0BWCKlfCqlvAr4AbX1zU9KeUVKGYk2KW58QTemtUTrSSkHA0/0goYA1iYWVKFQKJJFkObF9iWEEEcTbINMVPW+EOK03t2PW2ztACT8tM9fTzOWbhRTjGiUEMICbTIJIURxINbEwisUCoVR0tgSDY5bDqlvc01Q8RNQHqgOBAHfxKlOJm/SifSE6UYx5Yul2cBKwFYIMR7oAow34TyFQqFIkcxe/ymlvJ1A1zwgzhGSP+CUIKsjEOdWzVh6sqRqRKWUfwohjgHN9aTOUsqUnU0qFApFKgihOQjPXB2ilJQyzqlDRyDOdq0FFgkhvgVKAxWAw2gt0QpCiHJAANrkU4+UdJj67bwlEIXWrM0xPkgVCkX2xpwmVAixGGiCNnbqD4wFmgghqqPZrmvAYAAp5b9CiGXAOSAaeE9KGaPLeR/wRbN7v0kp/01Jb6pGVAjxBZol/hutzouEEH9JKaeko56pYrDM/MW3MzqY159lchQvkDVzb3+NMN1VXUaIzSQfC4qXG3N256WU3ZNJ/l8K+ScBk5JJ3wiYFqwN01qivQAvKeVjACHEJOAYkClGVKFQvBxos/MvuhQZxxQjej1JPgNg3DuwQqFQmEI2dyxiKik5IPkObRzhMfCvEMJX328B7M2a4ikUitxMLrChKbZE42ax/gU2JEg/mHnFUSgULxO5uiUqpTQ6IKtQKBQZJbeMiZry7Xx5IcQS/bOpi3FbVhQuIYMH9qeMgz3e1avEp506eZLGDeri412D+nVqceRI+j3Wx8TE0KVVfd7v1wmAvm+0oHPLenRuWY9mXhX48G3Ns/vD0Pt8NKA7b75ahx7tmnDpwjmT5Af436RT+xY09qnKK3Wr8+vPPwIwbdI4mtf34tWGtej+RhtuBWnrelctW0zz+l40r+/Fay0a8++Z0ybp8b/qx9BOzeK3znVcWbNgLlf++5dPerblvY5NGP9+7/jIoQ9DQxjZ/w061Xbhp0kjTb5eHw4ZiIeLA418qsenDezXg6b1vWla3xvvyhVoWl9zQh4ZGcmH7w6gcZ0avFLPi317dpmsJyHJPQOrVizHq1pl8ttYcixJYDxzscV3M1U93fB0d2X6tKk5VkdW6jGV3OCU2ZQ1n/OB39FeHK2BZWgf5Wcpvfv0Y/X6TYnSRo/6nFGjx3Do6Am+HDue0SM/T7f8v/43h3KubvH7f6zawnLf/Sz33U9Vr9o0a60F9Jo3awZunlVZufUgk77/ha/HDTdJvsFgYOzEr9l16DTrtuxh/q8/c/HCed4dOox/9h1j654jNG/Zhu+maSsunMqUZcWGf/hn3zE++mwkn388xCQ9juVc+XHFNn5csY3vl27BJk9e6jZrzY9jh9Hvoy+Y/fdO6jZrzcrftfhH1tY29Hr/c/p/OjYtl4tuPfuwZFXiKNjz5i9i+76jbN93lLavdaRt+9cBWDhf69TsOniCZWs2Me6L4cTGpv3L4eSeAQ/PyixetpIGDRulWZ4pxMTE8NEH77Fm3SZOnD7H8iWLOX/OtBdndtKRlXpMRQiwFMLkLbtiihHNJ6X0BZBSXpZSjkbz6pSlNGjYiGJFiyVKE0IQ9lBzsP/wwQNKlUpf+NdbQQHs3u7LG937Pncs/FEYh/fvpmlLzR3qlUsX8KnfGIByrm4E3rzBvbt3UtVhX7IUVarVAKBAwYJUqOjOraAAChZ6FkDgcfjj+DduLZ+6FNFDJtes5UNQYNoCyQGcOrSHUk5lsSvthP+1y1T2rgtAjbqN2f+PZgDz5MuPZ00frK1t0iS7bv2GFCmafOA8KSVr/15Bx05dAbh44TwNG2uPjK2tHYUKF+Hk8WNprk9yz4B7pUpUdHMzckbGOXL4MOXLu1LOxQVra2s6d+3G+nVrcpyOrNSTFl6WkMlPhfaffVkI8Y4Qoj1gl8nlMolpM75j1MjhVHBxZuSIz5gwcXL65Iz7nGGjvsLC4vnLsW3zOnzqN6ZAQc3YVaxUhW2b1gJw5sRRggJucDsobQbu5o1rnD19ihpetQGY+tUYvD3L8/fyxXw26vkW4ZIFv/NK85bPpafG7k2radRaaw2WcXXn0A5fAPb6riP4VoqfA2eIg/v3Ymtnh4trBQA8qlRl88Z1REdHc/3aVU6fPE5gwM1UpGQPAgMDcHR89im1g4MjAQFpf6G9aB1ZqSctvCzd+Y+BAsAHaMHnBgL9TREuhLgmhDije5Q2+4DVvLk/MW36t1y6coNp07/l3cED0ixj1z+bKFbcFo+qNZI9vmnNClp36By///Z7w3j4IJTOLeuxeP4vuHtWw9JgeuTp8EePGNinG+OnzIhvhY74cgJH/71Mx87d+X1e4pC/+/bsZPHC+Ywa99yHFSkSFRXJ4Z1baNBCG4b4cMJ3bFjyOx92aUHE40cYrDLvi6q/VyyNb4UC9Ojdj1KlHWnRuA5fjviEWrXrpumavUiSi4Zr7n/orNCRlXrSQm5oiZrigOSQ/jOMZ46Z08IrUsrgdJyXKn8t+JMZ3/4AwBudOjPknYFplnHy6EF2bt3I3h1bePr0CeFhYYz8YABTZv5K6P17nD15lO/nLYrPX6BgIb76VvNJLaWkdb3KODiVMUlXVFQUA/t2pWPnbrTRxwsT0rFTV/p0fZ1PR44B4NzZM3z2wTssWL6WYsWKp6lex/Zsp3ylKhQtoUVQdXKpwFdzlwIQcO0yR3b/kyZ5phIdHc2GtavZuvvZSjiDwcBXU2fE77dt3giX8q6Zot/cODg44u//rNUcEOBP6dLpGzZ6kTqyUo+pCOL9hOZojLZEhRB/CyFWGduyspDGKFWqNHt2azO9O3dsp7zefUwLH44Yzz9H/mPzgX+ZNns+tes3YsrMXwHYsn41jZq3wiZPnvj8Dx+EEhUZCcDKxfOp6VM/vqufElJKPhk6GNeK7gx+76P49CuXL8X/3rJ5PeUrauN7ATdvMLBPF374+XfKu1ZMc712bfo7visPEHrvLgCxsbEsmfsdrbv0SbNMU9i9YxsVKrpR2sExPu3x48eEh4dr5dr+DwaDATf3FCMuZBu8a9XCz+8S165eJTIykuVLl9C23Ws5TkdW6jGZNLRCs7OtTaklOssM8iWwRQghgV+Sc6Kqe6ceBODkbDz+Xd9ePdi9eyf3goNxLefE6DHjmP3zXD4d9hEx0dHY5MnDrJ9+MUORn7F57Qr6DxmWKO2q33988dFgLCwtKF/BnfHTZ5sk68jB/axc+heVPCrzasNagNaNX7JwPpcvXcTCwgIHJ2emfqtd9u+mT+Z+SAijPv0A0Fpzm3YcMEnXk4jHnDywm/fHTI9P27VpNRuW/A5AvWZtePX1Z74a+rf05vGjR0RHRXJw+2a+mrsE5/IpT9YMfqsX+/fuJuReMNXdy/HZqDH07PMWq1cuS9SVBwi+e4duHdtiYWFBydIOzJr7u0n1SEpyz0DRosX45OMPCL57lzc7tKNqteqs3bA5XfKTw2Aw8N0Ps2jftiUxMTH07dcfD09Ps8nPKh1ZqSctvOjhBHMgkhsnMZtwIUpLKQOFEHbAVmCoHgclWWp6ect9B49kWnni8Lsdnuk6ssqL0wn/+1mip1aZYqlnMgMF82TNWGlu+OfNSur7eHPs2FGzXjQ718qy6/TlJuef9YbHMSmltznLYA4y1TeolDJQ/3sHzZVe7czUp1Aocg6Cl2d2Pl0IIfILIXraBU8AACAASURBVArG/UZzXKI84isUinjMGXf+RWFy30kIYSOlfJoG2fbA3/obxAAsklKab7BKoVDkaLIiPEhWYIpn+9po3qELA85CiGrAACnl0JTOk1JeAaqZpZQKhSJXkgtsqEnd+ZlAO+AegJTyFC/gs0+FQpH7yO1LnOKwkFJeTzKwG5NJ5VEoFC8Jmiu8bGwdTcQUI3pT79JLIYQlMBTIcld4CoUi95EbQgebYkTfRevSOwO3gX/0NIVCocgQuaAhatK383fQAtgrFAqF2RAid3w7b8rs/Dy0zzcTIaUclCklUigULw25wIaa1J1P6O4nD9ARyBnOIBUKRbYmNyxxMqU7vzThvhBiAdp38GYn7jOwzMa5eN5M12GwzJohc5+yaXORl15sDLlhCkCRnRC8JIvtk6EcYJoDTYVCoTBGNv+c01RMGRO9z7MxUQsgBBiRmYVSKBQvB4Kcb0VTNKJ6bKVqQFwglliZmb7zFArFS8NLEXdeN5h/Sylj9E0ZUIVCYTZygxcnU2YLDgshamZ6SRQKxUtHrvYnKoSI6+o3QDOk/wkhjgshTgghjmdN8ZLnyZMnNKhbm9o1q1GzmidfjX8+zHBGmP3j99Txqkpd72q83bcnT548oXXzxjTw8aKBjxfuLk706PJGuuU/efKExvV9qONdHe/qlZk4QSv/ju3bqO/jRd1aNXj1lYZc9vNLs+wP3h1ApXKlaVi7enzatMkTqFKxDE3qedGknhdbfTclOsf/5g3KlCzC7B++TXedQkND6d29M17VPPCu7smhgwc4c/oUzRrXp453Nbq8+RoPHz5Mt3ytnDdp9WpTalTxwKtaZWb/qAUpDAkJoV3rFlTxqEi71i24f9+83v63+G6mqqcbnu6uTJ821ayys1JHVuoxhbjufG5uiR7W/74OuAFtgM5AJ/3vC8PGxobNW7dz+PgpDh09yRbfzRw6eDD1E00gMCCAX+bMYsfeQxw4eoqYmBhWLl/Kpn92sffQMfYeOkYtnzq079AxQ+Xf4LuNg0dPcuDICf7Z4svhQwf5eOgQ/t/emcdHUWX9+zkQoyIgoICQgKwmEJRAAmFcEDfUAWTfZAcBHX0VtxnnHR3HUV4ddVQY1AFHxIUBBBcgAi4gKjsJiyLIIqAkoIKKyOIvJJ7fH1XBGAN00lWVdOc8+dSnu6urz7du5fbpe2/de87zU15h+eq19O7bn0cfKV6aZIB+A4Yw/Y303+y/8ebbWLwsk8XLMrnq6mt/9d6999zFFVddU+LyAPzprjFc2fFqMtdvZNmqtSQkNuOWm0bxwEP/x4qM9XS5rhvjnnz85IZOQMWYGB5+9HHWfrKRxUuWM/HZZ9i0cSP/fPQROlx2OZ9s3EKHyy7nnx46h7y8PMbcejOz585n7ccbmTl9Gps2bvTMflAaQeqETJQkqjuRExUAVf28qC2g8yv6xESoXLky4KQhzj161NPmfl5uLj8dOUJubi5HDh+mTp06x9778ccf+fCD9+nUpWuJ7Rc+/6Pu+YsIP/7otNYOHPjhV7qhcuHFl1C9euj5kObNnU2DBg1JbFby7JsHDhxg2ZKPGDx0BACxsbFUq1aNbVs3c9HF7QG47PKrmPNmeEli69SpQ6tWzshSlSpVSEhsxu7d2aTPncOAQUMAGDBoCHPnzA5LpyCrV62iceMmNGzUiNjYWHr37Uf6XO/sB6URpE5xqOAu/QxlK6ucyInWFJE7jrcFdobHIS8vj7SUZOrXrcXlV15F27Q0T+zWjYvjljF30CKhIQmN4ql65plcfmXHY++nz3mTSztcTtWqJ0+TfCLy8vL4XZtWNIyvzeVXXEmbtmlM+Pdz9OzaifMa1WPa1Fe4427vZpI9P+kZLm3XiltvuoH9bnf30KFD/OvJx7jrz/eFZXvnju2cdXZNbho1nIvbpXDLTSM5dOgQzZq3YF76HADefH0W2VneLXT7YudO1q9fS5u2aXzzzdfHfnDq1KnD3r3feKaze3c28fH1jr2Oi4snOzv7BJ8omxpB6oRKeejOVwQqA1WOs50UEakmIrNE5DMR2SQivwv3hI+dXMWKrMxcx7adWWSsXsWnG7xJ37T/+++Zlz6H9Ru38dnnuzh06BAzpk099v5rr06nZ5/w47FUrFiR5avXsnn7LjIyVvPppxuYMP4pXpv9Flu272LQ4KH8+Y/e/FYNvWE0qz/ezPvLMql9Th3++r93A/Do2AcYfcttx1rFJSU3N5f169YwYuSNLFmRSaVKZ/DE4//gmYn/YdLEZ2h/YRt+PPgjp8R6kwH14MGD9O/bi0cffzLsH7OTUdSEFK9vcgShEaRO6AgVJfStrHKieaJ7VPXvYdofByxQ1V4iEgtUCtPeb6hWrRrtL+3AO+8sIKlFi7DtLX5/Ieee25Cza9YEoEvX7qxasZy+/Qfw3bffkpm5mldmvBa2Tj7VqlXjkvaX8u6C+Wz4eD1t2jot6p69+9Kty7Un+XRo1KpV+9jzQUNHMKB3NwAyM1Yxd/br/P2+P/PDD/upUKECp552KjeMvrlY9uPi4omLiz927t269+SJf/6D++7/O7PT3wZg69YtvD1/XthlOXr0KNf37UW//tfTrXuPY+Xbs2cPderUYc+ePdSsWStsnXzi4uLJKtCCzs7Oom7dup7ZD0ojSJ1QcZZ5e2hPZDJOFo5vVLWFu68GMANoAOwE+qjq9+4c+HE493oOA0NVdY37mSHAva7Zh1T1xRPpnnRMtKSISFWgPU5+JlQ1R1X3h2Mzn71797J/v2PqyJEjLFr4HgkJiV6YJj6+HhmrV3L48GFUlQ8WL+K8RMf2m6/P4uprO3HaaaeFpVH4/N9ftJCExGb8cOAHtm5x4l0vWvguCYnNwiuMy1df7Tn2fN7cN0lsngRA+juLWfPpNtZ8uo3Rf7iVMXfeU2wHClD7nHOIi6/H1i2bAVi8eBGJic3Z+43Trf7555957JGxjBgZXuAvVeWmUTeQkJjIrWN+aaV36tKFqS879Xzqyy/Suct1YekUJLVNG7Zt28rOHTvIyclh5ozpdOrsnf2gNILUCZlidOVD7M5PAQrfIb0HWKiqTYGF/LLa8lqgqbuNAp6FY073fiANJ8X7/SJS/USiJ2qJXhHSaR+fRsBe4AU3uV0mcJuqHip4kIiMwikE9erXD8nwV3v2MHL4EPLy8vhZf6Znrz78vlPnME/XIbVtGtd168GlF7YhJiaG81smM3T4SABemzWD2+/8Y9gaX3+1h1Ejhjrn//PP9OjVm2s7dWbCs5MY0K8XFSpUoFr16jw78fli2x41bCBLP/qA777dxwUJDfjj//6VZUs+YMPH6xER6tVvwOPjnwm7DIV57Ilx3DBsEDk5OTRo0JBnJk1m2tSXeW6io3Vd1+4MHDwsLI3ly5by36kv06LF+aSltgLggQfHcufd9zDo+r68OGUy9erV55Vpr4ZdnnxiYmJ4ctwEunS6mry8PIYMHU7zpCTP7AelEaROcfDyhpGqfigiDQrt7gp0cJ+/CCwG/uTuf8ldQLTCHXqs4x77rqp+ByAi7+I45mnH0xW/FiGJSCqwArhIVVeKyDjggKoe9y5GSkqqLl2Z4cv5FOT/HfU/RVRQUZyO5AST7iqoKE4xFYMZ+yrLk7fLIhelpZKZmeHpRWvQ7AL9y5S5IR8/ql2DL4B9BXZNUtVJBY9xnWh6ge78flWtVuD971W1uoikA4+o6hJ3/0Ic59oBOE1VH3L33wccUdXjzs8rSRSnUMkCslR1pft6Fha4xDCMAhSzJbpPVVM9ki5KWE+w/7j41rxQ1a9wktwluLuuAEpxZq9hGGWNACbbf+1203Ef8+e/ZQH1ChwXD+w+wf7j4ncf7X+AqSLyMZAM/J/PeoZhRAiC44BC3UrIHGCI+3wIMLvA/sHi0A74QVX3AG8DHUWkuntDqaO777j42Z1HVdcBXjW/DcOIJsTbsWkRmYYzpnm2iGTh3GV/BHhVREYAX/LLkvV5ONObtuFMcRoGoKrficiDwGr3uL/n32Q6Hr46UcMwjBPh5Z0qVe1/nLd+M9PIvStf5Hw+VZ0MTA5V15yoYRilgkCZXokUKuZEDcMoNaLAh5oTNQyjtCjbwZZDxZyoYRilQv7d+UjHnKhhGKWGtUQNwzDCIPJdaDl1orEBrAMP6he28mnl8l9oRAMezxMtLewbaBhGqWBjooZhGGFiLVHDMIwwKMu5k0LFnKhhGKWC052PfC9qTtQwjFIjCnrzkTmuO/qG4dSvW4uU5PAT0/3G9sjhnBtXm9Tk84/tG3R9P9JSW5GW2orEpg2Ppabwil27dnH1lZeRfH4zWrdMYsL4cZ7aL0heXh7tUlvRo6s36VSKYsL4caQkt6B1yyT+Ne4p33TGP/UkrVsmkZLcgsED+/PTTz/5ovPO2wu4ICmBpMQmPPboIxGrEaROaEix/soqEelEBw0Zyuz0Bf7YHjyUN9Pn/2rfy/+dzsqMtazMWEu37j3o2q27p5oxMTE88ug/WffJJj5YsoKJ/36aTRv9iV89Yfw4Epp5kwCvKD7dsIEXJj/HR8tWsSpzPfPnpbNt61bPdbKzs3nm6fEsXZFB5roN5OXlMXPGdM918vLyGHPrzcyeO5+1H29k5vRpnv9vgtAIUqc4BBCU2Xci0olefEl7atSo4Z/t6kXbVlVemzWTPn2PF3GrZNSpU4dWrVsDUKVKFRITm7F7d7anGgBZWVksmP8Ww4bf4LntfD77bBNt27ajUqVKxMTEcEn7S5k9+w1ftHJzczly5IjzePgwdXxI/7t61SoaN25Cw0aNiI2NpXfffqTPnX3yD5YxjSB1QiV/TDTUrawSkU60tFi65CNq1apNk6ZNfdP4YudO1q1beyyHu5fcfecYxj78KBUq+PdvT0pqwZIlH/Ltt99y+PBhFsyfR9auXSf/YDGJi4tjzO13cV6j+jSsV4eqVc/kyqs6eq6ze3c28fG/ZIuIi4snO9vbH7ggNILUCZlitELLZUtURBJEZF2B7YCIjPFLLwhenTGNPn37+Wb/4MGD9O/Tk8f++RRVq1b11Pa8t9KpVbMWrVNSPLVbmMRmzbjzrj/R+ZqruK7TNVxwQUtiYry/f/n999+TPnc2m7buYPuXuzl0+BDTpr7iuU5R2XC9ntsYhEaQOsXBnOgJUNXNqpqsqslACk4Ifn/6dQGQm5vLnDffoGfvvr7YP3r0KP379KRv/wF0697Dc/vLly0lPX0OCU0aMHhAPxa/v4hhgwd6rgMwdPgIlq9ew3vvf0j1GjVo0sT7lvuihe/RoEFDatasySmnnEK3bj1YsXyZ5zpxcfFkZf3Sks7OzqKux8MGQWgEqVMc7MZS6FwBfK6qXwSk5zmLFr7HeQmJxMfHe25bVblx5AgSEptx2+13eG4f4MGxD/P5ziw2b9vJS1On0+Gyy3nhJe9bbgDffOMkVPzyyy+Z/ebr9Onn7RgyQL169Vm1agWHDx9GVXl/0UISEr2/YZbapg3btm1l544d5OTkMHPGdDp1vi7iNILUCRXBmWwf6lZWCcqJ9gOmFfWGiIwSkQwRydi7b29IxgYP7E+HS37Hls2badwgnimTn/fsRIcMvJ4O7S9ky5bNNGlYjykvOLZnvTqD3j515ZctXcp/p77MB+8vIi0lmbSUZBbMn+eLVhD079OTVhc0p1e3Ljw1/mmqV6/uuUbbtDS69+jF79q2JrXV+fz888+MGDnKc52YmBieHDeBLp2uJvn8ZvTs3YfmSUkRpxGkTnGoIBLyVlaRosZJPBUQicXJ25ykql+f6NiUlFRdujLD1/OBoseGvKa0x5oMw0suSkslMzPD00qd0CJZJ762KOTjL0s8K1NVy1z24CBWLF0LrDmZAzUMo3yR352PdIJwov05TlfeMIzyTNm+YRQqvo6Jikgl4CrgdT91DMOIQKJknqivLVFVPQyc5aeGYRiRSxn2jSFjUZwMwygVnDHRyHej5kQNwyg1It+FmhM1DKM0iQIvak7UMIxSw7rzhmEYYRD5LtScqGEYpUkUeFFzohFOEEtYwZaxGt4jEBWT7c2JGoZROpTxSfShYk7UMIxSIwp8qDlRwzBKkSjwopZjyTCMUsLblMkislNEPnHTEWW4+2qIyLsistV9rO7uFxEZLyLbRORjEWld0lKYEzUMo9TwIQDJZW5aovy4o/cAC1W1KbDQfQ1OiM6m7jYKeLakZYhYJ/rO2wu4ICmBpMQmPPboI57ZHT1yOOfG1SY1+fxj+16fNZOUli0449SKZGb6EzR6//799O/bi5YtEkk+vxkrli/3xG5R5Xng/vto27olaamt6PL7q9m9e7cnWgBbNm8+Fp0/LSWZWjWq8q9xT3lmvzB5eXm0S21Fj66dfdPwq64FrRGkTihIMbcS0hV40X3+ItCtwP6X1GEFUE1E6pREICKdaF5eHmNuvZnZc+ez9uONzJw+jU0bN3pie9DgobyZPv9X+5ontWDaq69x8SXtPdEoirtuv42OHa9h/YbPWJW5nsRm3uQLKqo8t995N6vWrGdlxlqu/X0nHh77d0+0AM5LSGBl5jpWZq5j2apMKlWqxHXduntmvzATxo8jwaNrVRR+1rUgNYLUKQ4iEvIGnJ2fSsjdCueDUeAdEcks8F5tVd0D4D7WcvfHAQVzeWe5+4pNRDrR1atW0bhxExo2akRsbCy9+/Yjfe5sT2xffEl7alSv8at9ic2acV5Cgif2i+LAgQMsWfIhQ4ePACA2NpZq1ap5Yruo8hRMx3zo0CHf5oC+v2ghDRs15txzz/XFflZWFgvmv8Ww4Tf4Yh/8rWtBagSpUxyK2Z3fp6qpBbZJhcxdpKqtcbrqN4vIiVo9RVX6Ek26jkgnunt3NvHx9Y69jouLJzs7uxTPKDx2bN/O2WfXZNSIYbRLbcVNo27g0KFDvmref99faNqoPjOm/Zf77veuJVqQmTOm06ev95k+87n7zjGMffhRKlTwrxoHUdeCqs9l8XvjZXdeVXe7j9/gpGdvC3yd3013H79xD88C6hX4eDxOLrhi43dk+9tF5FMR2SAi00TkNC/sFrVKJ5JX1OTm5rJu7RpGjr6JFRlrqXTGGTzu83jVAw+OZev2L+nb/3r+/cwEz+3n5OTwVvocevTq7bltgHlvpVOrZi1ap6T4Yj+fIOpaUPW5zH1vPBwUFZEzRKRK/nOgI7ABmAMMcQ8bAuQ3vecAg9279O2AH/K7/cXFNycqInHArUCqqrYAKuKkTg6buLh4srJ+Gc7Izs6ibt26XpguFeLi44mLj6dtWhoA3Xv2Yt3aNYFo9+13PbPf8D57y9sL5pPcqjW1a9f23DbA8mVLSU+fQ0KTBgwe0I/F7y9i2OCBnusEUdeCqs9l8Xvj4RSn2sASEVkPrALeUtUFwCPAVSKyFSdVUX7rZB6wHdgGPAf8oaRl8Ls7HwOcLiIxQCVK2FwuTGqbNmzbtpWdO3aQk5PDzBnT6dT5Oi9MlwrnnHMO8fH12LJ5MwCLFy0ksVlz3/S2bd167Plb6XM4LyHRc41XZ0zztSv/4NiH+XxnFpu37eSlqdPpcNnlvPDSK57rBFHXgqrPZe17I3g3xUlVt6tqS3dLUtWx7v5vVfUKVW3qPn7n7ldVvVlVG6vq+apa4mk3vq1YUtVsEXkc+BI4Aryjqu94YTsmJoYnx02gS6erycvLY8jQ4TRPSvLCNEMGXs+HHy7m2337aNKwHvf+9W9Ur16DO2+/lX1799Kza2cuaJnMnLcWeKKXzxNP/YthgweQk5NDg0aNmPSfFzyxW1R53p4/n61bNlOhQgXq1T+X8U+XeIpckRw+fJhF773LhGcmemq3NPCzrgWpEaROcYjcQbhfEL+iALkrA14D+gL7gZnALFV9pdBxo3Amu1Kvfv2ULZ9/4cv5FCSIyEdBjTVZFCcjCC5KSyUzM8PTStCiZWudueCjkI9vXrdyZoFJ9GUGP7vzVwI7VHWvqh7FSZt8YeGDVHVS/pSFmmfX9PF0DMMoa3i57LO08DMAyZdAOzf3/BHgCsCf5T6GYUQkFcqubwwZP8dEV4rILGANkAusBQpPjjUMozxjTvTEqOr9wP1+ahiGEZlYZHvDMIxwsMj2hmEY4REFPtScqGEYpUgUeFFzooZhlBJle+pSqJgTNQyj1LAxUcMwjBISZsT6MoM5UcMwSo8o8KLl0olG0zrwaCqLUf6oEAX1t1w6UcMwygaR70LNiRqGUVrYZHvDMIxwiXwvak7UMIxSIT+yfaRjTtQwjFIjCnxoZKZMBnjn7QVckJRAUmITHvMpM+boG4ZTv24tUpJb+GI/nyDKEpROUNcsKB0I5rpFUx0oDl7lWCpNItKJ5uXlMebWm5k9dz5rP97IzOnT2LRxo+c6g4YMZXa6t7mUChNUWaLpmgWpE8R1i7Y6UByiIbJ9RDrR1atW0bhxExo2akRsbCy9+/Yjfe7sk3+wmFx8SXtq1Kjhud2CBFWWaLpmQeoEcd2irQ4UC4/yzpcmEelEd+/OJj6+3rHXcXHxZGdnl+IZlZygyhJN1yxIgrhu5bkORIEP9deJishtIrJBRD4VkTFe2S0qw2WkrtwJqizRdM2CJIjrVl7rgIizYinUrazimxMVkRbASKAt0BLoLCJNvbAdFxdPVtauY6+zs7OoW7euF6YDJ6iyRNM1C5Igrlu5rgNR0BT1syXaDFihqodVNRf4AOjuheHUNm3Ytm0rO3fsICcnh5kzptOp83VemA6coMoSTdcsSIK4buW5DkSBD/XViW4A2ovIWW7a5N8D9QofJCKjRCRDRDL27tsbkuGYmBieHDeBLp2uJvn8ZvTs3YfmSUnenj0weGB/OlzyO7Zs3kzjBvFMmfy85xpBlSWarlmQOkFct2irA8UhGqY4SVHjJJ4ZFxkB3AwcBDYCR1T19uMdn5KSqktXWmp6wyhrXJSWSmZmhqeuLLl1qi76aGXIx59VOSZTVVO9PAcv8PXGkqo+r6qtVbU98B2w1U89wzAih/xln5HeEvV12aeI1FLVb0SkPtAD+J2feoZhGEHj99r510TkLOAocLOqfu+znmEYEURZbmGGiq9OVFUv8dO+YRiRTVlezhkqFsXJMIxSwZlsX9pnET7mRA3DKD3MiRqGYZQc684bhmGEQTTcWIrIKE6GYUQHXi77FJFrRGSziGwTkXt8OuXfYE7UMIzSwyMvKiIVgaeBa4HmQH8Rae7XaRfEnKhhGKWGh5Ht2wLbVHW7quYA04GuvheAMjYmumZN5r7TT5EvivGRs4F9fp2P6ZR5DdMJTudcr09g7ZrMtyvFytnF+MhpIlIwuMYkVZ3kPo8DdhV4LwtIC/ccQ6FMOVFVrVmc40UkI4iABKZTNjVMp+zrnAhVvcZDc0U1Vf2LrlQA684bhhENZPHrUJvxwO4ghM2JGoYRDawGmopIQxGJBfoBc4IQLlPd+RIw6eSHmE4p6URTWUynjKOquSJyC/A2UBGYrKqfBqHta1BmwzCMaMe684ZhGGFgTtQwDCMMzImWMyRKks2LyBkB6ZwTLdfM8IeIdKLuEi+/NZqISKqInOqzTpKIXOpmAPBL42IRGQSgquqXUxCRLiJymx+2C+l0Bf4hIrV81rkaeIMistR6qNFORAa5j7E+6jR163PFIL4/5YmIcqIich6Aqub5WRFEpDPwOvAYMCVf1weda4FpwO3ASyJyjsf2K4hIZWAi8GcRuRGOOVJP//ci0hF4ECerq2+IyKXAP4DZqvqNjzodXZ06wJ0+aVyHc5f8SuAufFgV5Op0A2YBfwaeAEYH1ZIvD0SME3Ud2zoR+S/450hF5ELgcWCIql4GfA94HhFGRDoA44AbVLUbkAO08FJDVX9W1YPAi8DzwIUicnv+e17puNfsZWCUqr4rImeKyLkiUskrjQKkAP9xdeqKyFUikiYiZ3olICJXAs8AA4CmQDMRae+VfVfjLJx04ter6hDgAJAsIrVE5DSPdUYD/VW1J7AeGAbcLiJVvNIpz0SEE3V/NW8BxgA5IvIK+NoifURV17rP7wdq+NCt/xoYraqr3BZoGnCLiEwUkV4ed7lzcbqkLwJtReQJEXlYHLyoA9/iJCOs435p3wSexWnF+1GWfGYBw3HqxtMiUt0jjYrAYHee4RnAZiAJPB1TzgVOBxJFpCrQARgMPAXc62FLMReoDJwDoKqTgS+AmkBnjzTKN6oaERtQF6cynI3z5XnFJ52KQNUCz+OBtUBNd99ZPmj+BbjXfT4MmJGv55H9xsA97vM7gcPA0x6XoSWwHWf53UicH+jhOMMVNTzUaYHj1KYDw9x9jYB/A1d7XKYK7uM1wFfA+R7b7wVkAiuA+9x9lwNTgJYe6tyI01MYBIwFXsFpnU72sjzldYuIliiAqu5W1YOqug+nApye3yIVkdYikuiRTp6qHnBfCrAf+E5V94rIAOAhETndC60CmmNV9SH3+QtAFby9mXEESBCRkThfqEeA+iIy2isBVV2P07J5WFWfU2coYTJQHajvoc4GnPHDNKChu287zg9esQLYhKD1s/u4AGfssrOHrXdUdRbOeOhHOD/UqOoinP+/l+Oj04AFOA66kqoOVNWJQC23FWyEQUQu+1TVb10H8JiIfIbzBbrMB51c4KCI7BKRh4GOwFBVPeKVhoiIus0F93VPoDYeBk9Q1d0isgu4D7hZVeeKyGXANq80XJ2NFLix5JalJrDHSx1gPs4wy99EjoVObIXz4+AX63FuAD6qqnleGVXV70VkEdBHRHKA03B+HD72UOMHYKqITMv/YRCRwUANwLOylFcietmne5PkT8BVqvqJD/YFOAXY5D5eoapbvdZxtU4FBgJ3AH3dFpeX9usBtVQ1031dQT28uVRIS3CGJe4CeqtPa5hFpDVOl/hUYIofdaCQ3qvAH1V1p8d2q+GMh/YEfnI11nupUUhvOM7/pq/f16w8IuvGpwAAA61JREFUELFO1L2J8Cpwp6p69qt9HK2hwGq/nIGrcQpwFfC5qm72UedXLV+/NIBLga9U9TM/tYIgiGvm6lTB+U4eOOnB4emcC5yiqp72RMorEetEAUTkNFX9KQCdQL5EhmFEHhHtRA3DMEqbiLk7bxiGURYxJ2oYhhEG5kQNwzDCwJyoYRhGGJgTjRJEJE9E1onIBhGZGU7wDxHpICLp7vPrROS4AVhEpJqI/KEEGn8TkbtC3V/omCki0qsYWg1ExNN5t4aRjznR6OGIqiaraguciFA3FnyzpMsVVXWOqp5oJVA1oNhO1DCiBXOi0clHQBO3BbZJRJ4B1gD1RKSjiCwXkTVui7UygIhcIyKficgSoEe+IREZKiIT3Oe1ReQNEVnvbhfiLLVs7LaCH3OPu1tEVovIxyLyQAFbfxGRzSLyHpBwskKIyEjXznoRea1Q6/pKEflIRLaIEyYRcQIOP1ZA27PYAIZxPMyJRhkiEgNcC+Qv50sAXlLVVsAh4F7gSlVtDWQAd4gTv/I5oAtwCW7YtCIYD3ygqi2B1sCnOLFWP3dbwXeLE8y4KdAWSAZSRKS9iKTg5AJvheOk24RQnNdVtY2rtwkYUeC9BjirojoB/3bLMAL4QVXbuPZHikjDEHQMo8REZAASo0hOF5F17vOPcIIw1wW+UNUV7v52QHNgqbMyk1hgOZAI7MiPC+BGxxpVhMblOGu8cYNw/CC/jeHZ0d3y47FWxnGqVYA3VPWwqzEnhDK1EJGHcIYMKuPkFM/nVXft/1YR2e6WoSNwQYHx0jNd7S0haBlGiTAnGj0cUdXkgjtcR3mo4C7gXVXtX+i4ZMCrpWuCEw5vYiGNMSXQmAJ0U9X1bvyCDgXeK2xLXe3/UdWCzhYRaVBMXcMIGevOly9WABeJSBMAEakkTv6oz4CGItLYPa7/cT6/ELjJ/WxFcWJR/ojTysznbWB4gbHWOHESyn0IdBeR091AG11CON8qwB43OMuAQu/1FieHVGOcoMybXe2b3OMRkfPEcgkZPmMt0XKEG1h6KDBNfkl3cq+qbhGRUcBbIrIPWELR+Z5uAyaJyAicOJQ3qepyEVnqTiGa746LNgOWuy3hg8BAVV0jIjOAdTjpKT4K4ZTvA1a6x3/Cr531ZuADnNirN6rqTyLyH5yx0jVuJKm9QLfQro5hlAwLQGIYhhEG1p03DMMIA3OihmEYYWBO1DAMIwzMiRqGYYSBOVHDMIwwMCdqGIYRBuZEDcMwwuD/A7eMDSjOsOW6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2b6c3a9ad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2b6ba49d10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import itertools\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn import svm, datasets\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import confusion_matrix\n",
    "def plot_confusion_matrix(cm, classes,\n",
    "                          normalize=False,\n",
    "                          title='Confusion matrix',\n",
    "                          cmap=plt.cm.Blues):\n",
    "    \"\"\"\n",
    "    This function prints and plots the confusion matrix.\n",
    "    Normalization can be applied by setting `normalize=True`.\n",
    "    \"\"\"\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "        print(\"Normalized confusion matrix\")\n",
    "    else:\n",
    "        print('Confusion matrix, without normalization')\n",
    "\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(classes))\n",
    "    plt.xticks(tick_marks, classes, rotation=45)\n",
    "    plt.yticks(tick_marks, classes)\n",
    "\n",
    "    fmt = '.2f' if normalize else 'd'\n",
    "    thresh = cm.max() / 2.\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        plt.text(j, i, format(cm[i, j], fmt),\n",
    "                 horizontalalignment=\"center\",\n",
    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "\n",
    "# Compute confusion matrix\n",
    "cnf_matrix = confusion_matrix(Y_test, y_pred)\n",
    "np.set_printoptions(precision=2)\n",
    "\n",
    "# Plot non-normalized confusion matrix\n",
    "plt.figure()\n",
    "plot_confusion_matrix(cnf_matrix, classes=range(1,10),\n",
    "                      title='Confusion matrix, without normalization')\n",
    "\n",
    "# Plot normalized confusion matrix\n",
    "plt.figure()\n",
    "plot_confusion_matrix(cnf_matrix, classes=range(1,10), normalize=True,\n",
    "                      title='Normalized confusion matrix')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Here we are getting all the tweets that happened during the hurricane.\n",
    "##### We are assuming that it happened between 09/10/2017 and 09/12/2017 inclusive.\n",
    "##### Also, we are not training a model, we are just showing it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>created_at</th>\n",
       "      <th>text</th>\n",
       "      <th>user_id</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>location_coordinates</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>place_id</th>\n",
       "      <th>image_url</th>\n",
       "      <th>language</th>\n",
       "      <th>hashtags</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>906668545542680576</td>\n",
       "      <td>2017-09-10 00:00:01</td>\n",
       "      <td>Wind 2.0 mph N. Barometer 29.880 in, Steady. T...</td>\n",
       "      <td>1227982520</td>\n",
       "      <td>[28.87527778,-81.2525]</td>\n",
       "      <td>[[[-81.285896, 28.84511], [-81.285896, 28.9640...</td>\n",
       "      <td>-81.2525</td>\n",
       "      <td>28.8753</td>\n",
       "      <td>Deltona</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>906668555185291265</td>\n",
       "      <td>2017-09-10 00:00:03</td>\n",
       "      <td>There is always beauty regardless the circumst...</td>\n",
       "      <td>42239064</td>\n",
       "      <td>[29.5381,-81.2234]</td>\n",
       "      <td>[[[-81.279617, 29.424649], [-81.279617, 29.627...</td>\n",
       "      <td>-81.2234</td>\n",
       "      <td>29.5381</td>\n",
       "      <td>Palm Coast</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>906668556493889536</td>\n",
       "      <td>2017-09-10 00:00:03</td>\n",
       "      <td>#Carpool #Orlando - gt  #Orlando #KIrkmanRoad ...</td>\n",
       "      <td>87188071</td>\n",
       "      <td>[28.4363045,-81.4797168]</td>\n",
       "      <td>[[[-87.634643, 24.396308], [-87.634643, 31.001...</td>\n",
       "      <td>-81.4797</td>\n",
       "      <td>28.4363</td>\n",
       "      <td>Florida</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>Carpool,Orlando,Orlando,KIrkmanRoad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>906668570079309830</td>\n",
       "      <td>2017-09-10 00:00:06</td>\n",
       "      <td>@avictoria_x nah i m chillin my eyes never get...</td>\n",
       "      <td>746764728</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-81.25235, 28.549308], [-81.25235, 28.58224...</td>\n",
       "      <td>-81.2380</td>\n",
       "      <td>28.5658</td>\n",
       "      <td>Union Park</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>906668576056246278</td>\n",
       "      <td>2017-09-10 00:00:08</td>\n",
       "      <td>@jvnvy @sza That s how I feel bout seein travis</td>\n",
       "      <td>1679199278</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-82.31457, 27.823335], [-82.31457, 27.85374...</td>\n",
       "      <td>-82.2877</td>\n",
       "      <td>27.8385</td>\n",
       "      <td>Boyette</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>906668586793660416</td>\n",
       "      <td>2017-09-10 00:00:10</td>\n",
       "      <td>Taking a beak from boarding the windows. Kitty...</td>\n",
       "      <td>33160615</td>\n",
       "      <td>[27.91,-82.35]</td>\n",
       "      <td>[[[-87.634643, 24.396308], [-87.634643, 31.001...</td>\n",
       "      <td>-82.3500</td>\n",
       "      <td>27.9100</td>\n",
       "      <td>Florida</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>906668589385764864</td>\n",
       "      <td>2017-09-10 00:00:11</td>\n",
       "      <td>19:53 Temp. 82.4 F, Hum. 79 , Dewp. 73.6 F, Ba...</td>\n",
       "      <td>19511251</td>\n",
       "      <td>[27.86977674,-82.80524377]</td>\n",
       "      <td>[[[-82.81611, 27.80979], [-82.81611, 27.884351...</td>\n",
       "      <td>-82.8052</td>\n",
       "      <td>27.8698</td>\n",
       "      <td>Seminole</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>906668590878871555</td>\n",
       "      <td>2017-09-10 00:00:11</td>\n",
       "      <td>I m so proud of our local radio, news, animal ...</td>\n",
       "      <td>328572345</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-82.771167, 27.839081], [-82.771167, 27.878...</td>\n",
       "      <td>-82.7544</td>\n",
       "      <td>27.8586</td>\n",
       "      <td>Bardmoor</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>IrmaHurricane2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>906668595358216192</td>\n",
       "      <td>2017-09-10 00:00:12</td>\n",
       "      <td>Evening of a Hurricane. #hurricane #hurricanei...</td>\n",
       "      <td>278782686</td>\n",
       "      <td>[27.9709,-82.4646]</td>\n",
       "      <td>[[[-82.620093, 27.821353], [-82.620093, 28.171...</td>\n",
       "      <td>-82.4646</td>\n",
       "      <td>27.9709</td>\n",
       "      <td>Tampa</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>hurricane,hurricaneirma,sunset,tampa,florida,w...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>906668601817669632</td>\n",
       "      <td>2017-09-10 00:00:14</td>\n",
       "      <td>hey big head     https://t.co/M46uNJoxx2</td>\n",
       "      <td>2661138289</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.352067, 25.923399], [-80.352067, 25.957...</td>\n",
       "      <td>-80.3226</td>\n",
       "      <td>25.9403</td>\n",
       "      <td>Country Club</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>906668602086092802</td>\n",
       "      <td>2017-09-10 00:00:14</td>\n",
       "      <td>Deplorable: deplorable nation : please pray fo...</td>\n",
       "      <td>777791864552521728</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.352067, 25.923399], [-80.352067, 25.957...</td>\n",
       "      <td>-80.3226</td>\n",
       "      <td>25.9403</td>\n",
       "      <td>Country Club</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>906668609484849152</td>\n",
       "      <td>2017-09-10 00:00:16</td>\n",
       "      <td>All I ve ever wanted    https://t.co/ggjica11Lz</td>\n",
       "      <td>2249580465</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.259871, 25.864967], [-80.259871, 25.897...</td>\n",
       "      <td>-80.2430</td>\n",
       "      <td>25.8813</td>\n",
       "      <td>Westview</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>906668642556936192</td>\n",
       "      <td>2017-09-10 00:00:24</td>\n",
       "      <td>Lol what is this game</td>\n",
       "      <td>3214492931</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-81.625844, 28.49675], [-81.625844, 28.5954...</td>\n",
       "      <td>-81.5903</td>\n",
       "      <td>28.5461</td>\n",
       "      <td>Winter Garden</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>906668644670865409</td>\n",
       "      <td>2017-09-10 00:00:24</td>\n",
       "      <td>I m about to put on a swimsuit and go outside....</td>\n",
       "      <td>1928955848</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.447069, 25.595373], [-80.447069, 25.626...</td>\n",
       "      <td>-80.4282</td>\n",
       "      <td>25.6109</td>\n",
       "      <td>Richmond West</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>906668645220220928</td>\n",
       "      <td>2017-09-10 00:00:24</td>\n",
       "      <td>It looks like you do just fine in Kissimmee. B...</td>\n",
       "      <td>1452752780</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-82.733975, 28.299909], [-82.733975, 28.350...</td>\n",
       "      <td>-82.6880</td>\n",
       "      <td>28.3250</td>\n",
       "      <td>Bayonet Point</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>906668658579185664</td>\n",
       "      <td>2017-09-10 00:00:27</td>\n",
       "      <td>mt perversa eu</td>\n",
       "      <td>113764510</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-81.707927, 28.269589], [-81.707927, 28.434...</td>\n",
       "      <td>-81.6513</td>\n",
       "      <td>28.3522</td>\n",
       "      <td>Four Corners</td>\n",
       "      <td>None</td>\n",
       "      <td>pt</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>906668698290868224</td>\n",
       "      <td>2017-09-10 00:00:37</td>\n",
       "      <td>THE FFUCK IS THIS https://t.co/LVhxRyLxvc</td>\n",
       "      <td>2197305261</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.431609, 25.684836], [-80.431609, 25.730...</td>\n",
       "      <td>-80.4074</td>\n",
       "      <td>25.7074</td>\n",
       "      <td>Kendale Lakes</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>906668702124449794</td>\n",
       "      <td>2017-09-10 00:00:38</td>\n",
       "      <td>It has to be 3-6 players   https://t.co/VzTEQw...</td>\n",
       "      <td>406336381</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.246538, 25.926454], [-80.246538, 25.961...</td>\n",
       "      <td>-80.2285</td>\n",
       "      <td>25.9439</td>\n",
       "      <td>Scott Lake</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>906668714686377985</td>\n",
       "      <td>2017-09-10 00:00:41</td>\n",
       "      <td>@ImJaySteez Duh</td>\n",
       "      <td>3068865861</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.258078, 25.830731], [-80.258078, 25.847...</td>\n",
       "      <td>-80.2337</td>\n",
       "      <td>25.8389</td>\n",
       "      <td>Gladeview</td>\n",
       "      <td>None</td>\n",
       "      <td>und</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>906668734672142337</td>\n",
       "      <td>2017-09-10 00:00:46</td>\n",
       "      <td>Ayo #HurrcaneIrma where you at tho</td>\n",
       "      <td>243284501</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.23904, 25.739311], [-80.23904, 25.73931...</td>\n",
       "      <td>-80.2390</td>\n",
       "      <td>25.7393</td>\n",
       "      <td>Pet Supermarket</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>HurrcaneIrma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>906668745283723264</td>\n",
       "      <td>2017-09-10 00:00:48</td>\n",
       "      <td>Just posted a photo @ Miami South Beach, Flori...</td>\n",
       "      <td>225118919</td>\n",
       "      <td>[25.7904,-80.1322]</td>\n",
       "      <td>[[[-80.147162, 25.761308], [-80.147162, 25.872...</td>\n",
       "      <td>-80.1322</td>\n",
       "      <td>25.7904</td>\n",
       "      <td>Miami Beach</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>906668751558463488</td>\n",
       "      <td>2017-09-10 00:00:50</td>\n",
       "      <td>Amh   aniver da minha coroa,almo o arregadoooooo</td>\n",
       "      <td>807261635924684800</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.147162, 25.761308], [-80.147162, 25.872...</td>\n",
       "      <td>-80.1330</td>\n",
       "      <td>25.8170</td>\n",
       "      <td>Miami Beach</td>\n",
       "      <td>None</td>\n",
       "      <td>pt</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>906668754808987648</td>\n",
       "      <td>2017-09-10 00:00:50</td>\n",
       "      <td>temperature up 82 F - gt  84 F humidity down 8...</td>\n",
       "      <td>231639309</td>\n",
       "      <td>[26.62,-80.06]</td>\n",
       "      <td>[[[-80.122484, 26.587884], [-80.122484, 26.646...</td>\n",
       "      <td>-80.0600</td>\n",
       "      <td>26.6200</td>\n",
       "      <td>Lake Worth</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>906668761163366400</td>\n",
       "      <td>2017-09-10 00:00:52</td>\n",
       "      <td>These news casters don t get paid enough for this</td>\n",
       "      <td>186506078</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.268234, 26.135832], [-80.268234, 26.193...</td>\n",
       "      <td>-80.2304</td>\n",
       "      <td>26.1649</td>\n",
       "      <td>Lauderhill</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>906668810547220480</td>\n",
       "      <td>2017-09-10 00:01:04</td>\n",
       "      <td>fico tentando achar assunto com essa mina de q...</td>\n",
       "      <td>4720225108</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-81.535773, 28.518923], [-81.535773, 28.543...</td>\n",
       "      <td>-81.5169</td>\n",
       "      <td>28.5313</td>\n",
       "      <td>Gotha</td>\n",
       "      <td>None</td>\n",
       "      <td>pt</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>906668821821497350</td>\n",
       "      <td>2017-09-10 00:01:06</td>\n",
       "      <td>DONATE THIS CHANNEL  https://t.co/hchxq37CpI v...</td>\n",
       "      <td>63497195</td>\n",
       "      <td>[25.8081,-80.3533]</td>\n",
       "      <td>[[[-80.41729, 25.780974], [-80.41729, 25.87031...</td>\n",
       "      <td>-80.3533</td>\n",
       "      <td>25.8081</td>\n",
       "      <td>Doral</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>906668829392216066</td>\n",
       "      <td>2017-09-10 00:01:08</td>\n",
       "      <td>@jvnvy Yeeeeeeehawwww</td>\n",
       "      <td>1679199278</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-82.31457, 27.823335], [-82.31457, 27.85374...</td>\n",
       "      <td>-82.2877</td>\n",
       "      <td>27.8385</td>\n",
       "      <td>Boyette</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>906668830847639553</td>\n",
       "      <td>2017-09-10 00:01:09</td>\n",
       "      <td>CARLOOOOSSSS LMFAOOO https://t.co/TM7gr5XEN9</td>\n",
       "      <td>406336381</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.246538, 25.926454], [-80.246538, 25.961...</td>\n",
       "      <td>-80.2285</td>\n",
       "      <td>25.9439</td>\n",
       "      <td>Scott Lake</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>906668844764278784</td>\n",
       "      <td>2017-09-10 00:01:12</td>\n",
       "      <td>Can t even watch college football cause all th...</td>\n",
       "      <td>37883994</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.257234, 26.665515], [-80.257234, 26.736...</td>\n",
       "      <td>-80.2067</td>\n",
       "      <td>26.7010</td>\n",
       "      <td>Royal Palm Beach</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>906668854998454272</td>\n",
       "      <td>2017-09-10 00:01:14</td>\n",
       "      <td>This will be a much different view tomorrow ni...</td>\n",
       "      <td>3081221391</td>\n",
       "      <td>[28.23083423,-82.7323552]</td>\n",
       "      <td>[[[-82.764606, 28.216424], [-82.764606, 28.280...</td>\n",
       "      <td>-82.7324</td>\n",
       "      <td>28.2308</td>\n",
       "      <td>New Port Richey</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39244</th>\n",
       "      <td>907392727305908224</td>\n",
       "      <td>2017-09-11 23:57:39</td>\n",
       "      <td>you know i do this shit with no effort   https...</td>\n",
       "      <td>3247177830</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.220059, 26.150582], [-80.220059, 26.186...</td>\n",
       "      <td>-80.2015</td>\n",
       "      <td>26.1684</td>\n",
       "      <td>Lauderdale Lakes</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39245</th>\n",
       "      <td>907392777582981121</td>\n",
       "      <td>2017-09-11 23:57:51</td>\n",
       "      <td>females grimy nowadays braa . they ll switch u...</td>\n",
       "      <td>892149766343340033</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.820872, 28.347876], [-80.820872, 28.418...</td>\n",
       "      <td>-80.7707</td>\n",
       "      <td>28.3833</td>\n",
       "      <td>Cocoa</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39246</th>\n",
       "      <td>907392813301673984</td>\n",
       "      <td>2017-09-11 23:57:59</td>\n",
       "      <td>The AC is out at this #WaffleHouse and the pla...</td>\n",
       "      <td>394325917</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-82.733, 27.991], [-82.733, 27.991], [-82.7...</td>\n",
       "      <td>-82.7330</td>\n",
       "      <td>27.9910</td>\n",
       "      <td>Waffle House</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>WaffleHouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39247</th>\n",
       "      <td>907392816250101760</td>\n",
       "      <td>2017-09-11 23:58:00</td>\n",
       "      <td>Algunas fotos del #huracanirma en Sweetwater G...</td>\n",
       "      <td>74467333</td>\n",
       "      <td>[25.77325341,-80.37620943]</td>\n",
       "      <td>[[[-80.386249, 25.761172], [-80.386249, 25.783...</td>\n",
       "      <td>-80.3762</td>\n",
       "      <td>25.7733</td>\n",
       "      <td>Fountainebleau</td>\n",
       "      <td>None</td>\n",
       "      <td>es</td>\n",
       "      <td>huracanirma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39248</th>\n",
       "      <td>907392852845404160</td>\n",
       "      <td>2017-09-11 23:58:09</td>\n",
       "      <td>The McD s drive thru on Pine Island and Southg...</td>\n",
       "      <td>24878189</td>\n",
       "      <td>[26.22786119,-80.27022511]</td>\n",
       "      <td>[[[-80.298308, 26.178836], [-80.298308, 26.230...</td>\n",
       "      <td>-80.2702</td>\n",
       "      <td>26.2279</td>\n",
       "      <td>Tamarac</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39249</th>\n",
       "      <td>907392866187653121</td>\n",
       "      <td>2017-09-11 23:58:12</td>\n",
       "      <td>: Growth is the Purpose of Life Pt. 2 : These ...</td>\n",
       "      <td>146549112</td>\n",
       "      <td>[25.5609,-80.3834]</td>\n",
       "      <td>[[[-80.407893, 25.551181], [-80.407893, 25.574...</td>\n",
       "      <td>-80.3834</td>\n",
       "      <td>25.5609</td>\n",
       "      <td>Goulds</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39250</th>\n",
       "      <td>907392889923055622</td>\n",
       "      <td>2017-09-11 23:58:18</td>\n",
       "      <td>Post-Irma vibes. #rainbow #hurricaneirma #irma...</td>\n",
       "      <td>292625424</td>\n",
       "      <td>[28.60651,-81.52325]</td>\n",
       "      <td>[[[-81.648788, 28.518918], [-81.648788, 28.692...</td>\n",
       "      <td>-81.5232</td>\n",
       "      <td>28.6065</td>\n",
       "      <td>Ocoee</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>rainbow,hurricaneirma,irmagerd,irmageddon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39251</th>\n",
       "      <td>907392912018825216</td>\n",
       "      <td>2017-09-11 23:58:23</td>\n",
       "      <td>Alert: OUTSIDE FIRE  ENGINE  @ 6461 5 AV N-SP ...</td>\n",
       "      <td>71052378</td>\n",
       "      <td>[27.7774849,-82.72577278]</td>\n",
       "      <td>[[[-82.758209, 27.694323], [-82.758209, 27.897...</td>\n",
       "      <td>-82.7258</td>\n",
       "      <td>27.7775</td>\n",
       "      <td>St Petersburg</td>\n",
       "      <td>None</td>\n",
       "      <td>et</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39252</th>\n",
       "      <td>907392919035957248</td>\n",
       "      <td>2017-09-11 23:58:25</td>\n",
       "      <td>Of course they are talking to Sternberg when t...</td>\n",
       "      <td>1387348165</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-82.527472, 27.996725], [-82.527472, 28.037...</td>\n",
       "      <td>-82.5063</td>\n",
       "      <td>28.0170</td>\n",
       "      <td>Egypt Lake-Leto</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>Rays</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39253</th>\n",
       "      <td>907392926896021504</td>\n",
       "      <td>2017-09-11 23:58:26</td>\n",
       "      <td>CONFIRMED: Hurricane Irma left WDW but brought...</td>\n",
       "      <td>333113172</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-81.538267, 28.362991], [-81.538267, 28.398...</td>\n",
       "      <td>-81.5205</td>\n",
       "      <td>28.3808</td>\n",
       "      <td>Lake Buena Vista</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39254</th>\n",
       "      <td>907392955660546051</td>\n",
       "      <td>2017-09-11 23:58:33</td>\n",
       "      <td>#CollegeFootball #NavyFAU #ESPNCollegeFootball...</td>\n",
       "      <td>2243547402</td>\n",
       "      <td>[26.375278,-80.100278]</td>\n",
       "      <td>[[[-80.203991, 26.320692], [-80.203991, 26.427...</td>\n",
       "      <td>-80.1003</td>\n",
       "      <td>26.3753</td>\n",
       "      <td>Boca Raton</td>\n",
       "      <td>None</td>\n",
       "      <td>in</td>\n",
       "      <td>CollegeFootball,NavyFAU,ESPNCollegeFootball,Sp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39255</th>\n",
       "      <td>907392987646369792</td>\n",
       "      <td>2017-09-11 23:58:41</td>\n",
       "      <td>People are so ignorant  amp  dirty</td>\n",
       "      <td>155910998</td>\n",
       "      <td>[30.35154232,-81.59504966]</td>\n",
       "      <td>[[[-81.667378, 30.320695], [-81.667378, 30.334...</td>\n",
       "      <td>-81.5950</td>\n",
       "      <td>30.3515</td>\n",
       "      <td>Downtown Jacksonville</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39256</th>\n",
       "      <td>907393003907579905</td>\n",
       "      <td>2017-09-11 23:58:45</td>\n",
       "      <td>The only thing I have to say after Irma is MY ...</td>\n",
       "      <td>598867449</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.95985, 26.73948], [-80.95985, 26.766742...</td>\n",
       "      <td>-80.9390</td>\n",
       "      <td>26.7531</td>\n",
       "      <td>Clewiston</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39257</th>\n",
       "      <td>907393024518483969</td>\n",
       "      <td>2017-09-11 23:58:50</td>\n",
       "      <td>This version of  Old McDonald  falls of the tr...</td>\n",
       "      <td>14500557</td>\n",
       "      <td>[28.13333333,-81.63166667]</td>\n",
       "      <td>[[[-81.666836, 28.072873], [-81.666836, 28.143...</td>\n",
       "      <td>-81.6317</td>\n",
       "      <td>28.1333</td>\n",
       "      <td>Haines City</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39258</th>\n",
       "      <td>907393026372272128</td>\n",
       "      <td>2017-09-11 23:58:50</td>\n",
       "      <td>Apesar do estrago, estamos bem gra as a Deus  ...</td>\n",
       "      <td>46288714</td>\n",
       "      <td>[28.7576,-81.329]</td>\n",
       "      <td>[[[-81.373433, 28.726142], [-81.373433, 28.788...</td>\n",
       "      <td>-81.3290</td>\n",
       "      <td>28.7576</td>\n",
       "      <td>Lake Mary</td>\n",
       "      <td>None</td>\n",
       "      <td>pt</td>\n",
       "      <td>thanksgod,hurricane</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39259</th>\n",
       "      <td>907393028263960576</td>\n",
       "      <td>2017-09-11 23:58:51</td>\n",
       "      <td>i m not dead i wish i was but i m not</td>\n",
       "      <td>1090479170</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.612737, 28.114562], [-80.612737, 28.172...</td>\n",
       "      <td>-80.5938</td>\n",
       "      <td>28.1435</td>\n",
       "      <td>Indian Harbour Beach</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39260</th>\n",
       "      <td>907393030075961344</td>\n",
       "      <td>2017-09-11 23:58:51</td>\n",
       "      <td>@chigrl I need this on my forehead.</td>\n",
       "      <td>4788267975</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-81.625844, 28.49675], [-81.625844, 28.5954...</td>\n",
       "      <td>-81.5903</td>\n",
       "      <td>28.5461</td>\n",
       "      <td>Winter Garden</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39261</th>\n",
       "      <td>907393062858629121</td>\n",
       "      <td>2017-09-11 23:58:59</td>\n",
       "      <td>https://t.co/mFhR...</td>\n",
       "      <td>342994209</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.210559, 25.851456], [-80.210559, 25.886...</td>\n",
       "      <td>-80.1876</td>\n",
       "      <td>25.8689</td>\n",
       "      <td>Miami Shores</td>\n",
       "      <td>None</td>\n",
       "      <td>und</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39262</th>\n",
       "      <td>907393080504078336</td>\n",
       "      <td>2017-09-11 23:59:03</td>\n",
       "      <td>@Saints Yall Give AP More Touches Wtf</td>\n",
       "      <td>596910330</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-80.207047, 25.972852], [-80.207047, 25.997...</td>\n",
       "      <td>-80.1621</td>\n",
       "      <td>25.9852</td>\n",
       "      <td>Hallandale Beach</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39263</th>\n",
       "      <td>907393095800684544</td>\n",
       "      <td>2017-09-11 23:59:07</td>\n",
       "      <td>storm brings damage   HMM, you don t say</td>\n",
       "      <td>1512163598</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-81.865314, 30.138094], [-81.865314, 30.189...</td>\n",
       "      <td>-81.8216</td>\n",
       "      <td>30.1636</td>\n",
       "      <td>Oakleaf Plantation</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39264</th>\n",
       "      <td>907393116637888512</td>\n",
       "      <td>2017-09-11 23:59:12</td>\n",
       "      <td>@insidefpI don t forget about us here in North...</td>\n",
       "      <td>2368826036</td>\n",
       "      <td>[26.7351121,-80.05504122]</td>\n",
       "      <td>[[[-80.2006, 26.644671], [-80.2006, 26.799121]...</td>\n",
       "      <td>-80.0550</td>\n",
       "      <td>26.7351</td>\n",
       "      <td>West Palm Beach</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>powerless,irmageddon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39265</th>\n",
       "      <td>907393125848514560</td>\n",
       "      <td>2017-09-11 23:59:14</td>\n",
       "      <td>Klk tu Dice  Manana Open Cabin Fever over --- ...</td>\n",
       "      <td>26143847</td>\n",
       "      <td>[26.0089786,-80.24618]</td>\n",
       "      <td>[[[-80.442683, 25.992486], [-80.442683, 26.063...</td>\n",
       "      <td>-80.2462</td>\n",
       "      <td>26.0090</td>\n",
       "      <td>Pembroke Pines</td>\n",
       "      <td>None</td>\n",
       "      <td>tl</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39266</th>\n",
       "      <td>907393177421701120</td>\n",
       "      <td>2017-09-11 23:59:26</td>\n",
       "      <td>@ganders76 the pats go to N.O. next  the last ...</td>\n",
       "      <td>1117522494</td>\n",
       "      <td>[27.2246313,-80.3531733]</td>\n",
       "      <td>[[[-80.457446, 27.20569], [-80.457446, 27.3958...</td>\n",
       "      <td>-80.3532</td>\n",
       "      <td>27.2246</td>\n",
       "      <td>Port St Lucie</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39267</th>\n",
       "      <td>907393191795675136</td>\n",
       "      <td>2017-09-11 23:59:30</td>\n",
       "      <td>#WAHOO #RollTRIBE  #INDIANS lead Detroit 5...</td>\n",
       "      <td>34744730</td>\n",
       "      <td>[26.12038575,-80.13118425]</td>\n",
       "      <td>[[[-80.20811, 26.080935], [-80.20811, 26.21980...</td>\n",
       "      <td>-80.1312</td>\n",
       "      <td>26.1204</td>\n",
       "      <td>Fort Lauderdale</td>\n",
       "      <td>http://pbs.twimg.com/media/DJe1Sz8UIAAFFlp.jpg</td>\n",
       "      <td>en</td>\n",
       "      <td>WAHOO,RollTRIBE,INDIANS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39268</th>\n",
       "      <td>907393212293238785</td>\n",
       "      <td>2017-09-11 23:59:35</td>\n",
       "      <td>Looks like DA SING OFF  will be happening this...</td>\n",
       "      <td>47537073</td>\n",
       "      <td>[25.98412,-80.21361]</td>\n",
       "      <td>[[[-80.40816, 25.956799], [-80.40816, 25.99544...</td>\n",
       "      <td>-80.2136</td>\n",
       "      <td>25.9841</td>\n",
       "      <td>Miramar</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39269</th>\n",
       "      <td>907393229502513152</td>\n",
       "      <td>2017-09-11 23:59:39</td>\n",
       "      <td>Looks like DA SING OFF  will be happening this...</td>\n",
       "      <td>47537073</td>\n",
       "      <td>[25.98412,-80.21361]</td>\n",
       "      <td>[[[-80.40816, 25.956799], [-80.40816, 25.99544...</td>\n",
       "      <td>-80.2136</td>\n",
       "      <td>25.9841</td>\n",
       "      <td>Miramar</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39270</th>\n",
       "      <td>907393263522471936</td>\n",
       "      <td>2017-09-11 23:59:47</td>\n",
       "      <td>The first sunset after #HurracaineIrma on #Sie...</td>\n",
       "      <td>519868693</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-82.570008, 27.25077], [-82.570008, 27.2994...</td>\n",
       "      <td>-82.5512</td>\n",
       "      <td>27.2751</td>\n",
       "      <td>Siesta Key</td>\n",
       "      <td>http://pbs.twimg.com/ext_tw_video_thumb/907393...</td>\n",
       "      <td>en</td>\n",
       "      <td>HurracaineIrma,SiestaKey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39271</th>\n",
       "      <td>907393277472727040</td>\n",
       "      <td>2017-09-11 23:59:50</td>\n",
       "      <td>What a difference a daymakes, were out for a s...</td>\n",
       "      <td>1120285314</td>\n",
       "      <td>[27.19,-82.37]</td>\n",
       "      <td>[[[-87.634643, 24.396308], [-87.634643, 31.001...</td>\n",
       "      <td>-82.3700</td>\n",
       "      <td>27.1900</td>\n",
       "      <td>Florida</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39272</th>\n",
       "      <td>907393295738966016</td>\n",
       "      <td>2017-09-11 23:59:54</td>\n",
       "      <td>Guess it ll do, I m super super hungry  at @Ar...</td>\n",
       "      <td>2229094182</td>\n",
       "      <td>[28.75665703,-81.35718896]</td>\n",
       "      <td>[[[-81.373433, 28.726142], [-81.373433, 28.788...</td>\n",
       "      <td>-81.3572</td>\n",
       "      <td>28.7567</td>\n",
       "      <td>Lake Mary</td>\n",
       "      <td>None</td>\n",
       "      <td>en</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39273</th>\n",
       "      <td>907393309693411329</td>\n",
       "      <td>2017-09-11 23:59:58</td>\n",
       "      <td>@ligiaoceanica</td>\n",
       "      <td>1248408648</td>\n",
       "      <td>None</td>\n",
       "      <td>[[[-82.354162, 28.141461], [-82.354162, 28.171...</td>\n",
       "      <td>-82.3388</td>\n",
       "      <td>28.1564</td>\n",
       "      <td>Pebble Creek</td>\n",
       "      <td>None</td>\n",
       "      <td>und</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>39274 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 tweet_id          created_at  \\\n",
       "0      906668545542680576 2017-09-10 00:00:01   \n",
       "1      906668555185291265 2017-09-10 00:00:03   \n",
       "2      906668556493889536 2017-09-10 00:00:03   \n",
       "3      906668570079309830 2017-09-10 00:00:06   \n",
       "4      906668576056246278 2017-09-10 00:00:08   \n",
       "5      906668586793660416 2017-09-10 00:00:10   \n",
       "6      906668589385764864 2017-09-10 00:00:11   \n",
       "7      906668590878871555 2017-09-10 00:00:11   \n",
       "8      906668595358216192 2017-09-10 00:00:12   \n",
       "9      906668601817669632 2017-09-10 00:00:14   \n",
       "10     906668602086092802 2017-09-10 00:00:14   \n",
       "11     906668609484849152 2017-09-10 00:00:16   \n",
       "12     906668642556936192 2017-09-10 00:00:24   \n",
       "13     906668644670865409 2017-09-10 00:00:24   \n",
       "14     906668645220220928 2017-09-10 00:00:24   \n",
       "15     906668658579185664 2017-09-10 00:00:27   \n",
       "16     906668698290868224 2017-09-10 00:00:37   \n",
       "17     906668702124449794 2017-09-10 00:00:38   \n",
       "18     906668714686377985 2017-09-10 00:00:41   \n",
       "19     906668734672142337 2017-09-10 00:00:46   \n",
       "20     906668745283723264 2017-09-10 00:00:48   \n",
       "21     906668751558463488 2017-09-10 00:00:50   \n",
       "22     906668754808987648 2017-09-10 00:00:50   \n",
       "23     906668761163366400 2017-09-10 00:00:52   \n",
       "24     906668810547220480 2017-09-10 00:01:04   \n",
       "25     906668821821497350 2017-09-10 00:01:06   \n",
       "26     906668829392216066 2017-09-10 00:01:08   \n",
       "27     906668830847639553 2017-09-10 00:01:09   \n",
       "28     906668844764278784 2017-09-10 00:01:12   \n",
       "29     906668854998454272 2017-09-10 00:01:14   \n",
       "...                   ...                 ...   \n",
       "39244  907392727305908224 2017-09-11 23:57:39   \n",
       "39245  907392777582981121 2017-09-11 23:57:51   \n",
       "39246  907392813301673984 2017-09-11 23:57:59   \n",
       "39247  907392816250101760 2017-09-11 23:58:00   \n",
       "39248  907392852845404160 2017-09-11 23:58:09   \n",
       "39249  907392866187653121 2017-09-11 23:58:12   \n",
       "39250  907392889923055622 2017-09-11 23:58:18   \n",
       "39251  907392912018825216 2017-09-11 23:58:23   \n",
       "39252  907392919035957248 2017-09-11 23:58:25   \n",
       "39253  907392926896021504 2017-09-11 23:58:26   \n",
       "39254  907392955660546051 2017-09-11 23:58:33   \n",
       "39255  907392987646369792 2017-09-11 23:58:41   \n",
       "39256  907393003907579905 2017-09-11 23:58:45   \n",
       "39257  907393024518483969 2017-09-11 23:58:50   \n",
       "39258  907393026372272128 2017-09-11 23:58:50   \n",
       "39259  907393028263960576 2017-09-11 23:58:51   \n",
       "39260  907393030075961344 2017-09-11 23:58:51   \n",
       "39261  907393062858629121 2017-09-11 23:58:59   \n",
       "39262  907393080504078336 2017-09-11 23:59:03   \n",
       "39263  907393095800684544 2017-09-11 23:59:07   \n",
       "39264  907393116637888512 2017-09-11 23:59:12   \n",
       "39265  907393125848514560 2017-09-11 23:59:14   \n",
       "39266  907393177421701120 2017-09-11 23:59:26   \n",
       "39267  907393191795675136 2017-09-11 23:59:30   \n",
       "39268  907393212293238785 2017-09-11 23:59:35   \n",
       "39269  907393229502513152 2017-09-11 23:59:39   \n",
       "39270  907393263522471936 2017-09-11 23:59:47   \n",
       "39271  907393277472727040 2017-09-11 23:59:50   \n",
       "39272  907393295738966016 2017-09-11 23:59:54   \n",
       "39273  907393309693411329 2017-09-11 23:59:58   \n",
       "\n",
       "                                                    text             user_id  \\\n",
       "0      Wind 2.0 mph N. Barometer 29.880 in, Steady. T...          1227982520   \n",
       "1      There is always beauty regardless the circumst...            42239064   \n",
       "2      #Carpool #Orlando - gt  #Orlando #KIrkmanRoad ...            87188071   \n",
       "3      @avictoria_x nah i m chillin my eyes never get...           746764728   \n",
       "4        @jvnvy @sza That s how I feel bout seein travis          1679199278   \n",
       "5      Taking a beak from boarding the windows. Kitty...            33160615   \n",
       "6      19:53 Temp. 82.4 F, Hum. 79 , Dewp. 73.6 F, Ba...            19511251   \n",
       "7      I m so proud of our local radio, news, animal ...           328572345   \n",
       "8      Evening of a Hurricane. #hurricane #hurricanei...           278782686   \n",
       "9               hey big head     https://t.co/M46uNJoxx2          2661138289   \n",
       "10     Deplorable: deplorable nation : please pray fo...  777791864552521728   \n",
       "11       All I ve ever wanted    https://t.co/ggjica11Lz          2249580465   \n",
       "12                                 Lol what is this game          3214492931   \n",
       "13     I m about to put on a swimsuit and go outside....          1928955848   \n",
       "14     It looks like you do just fine in Kissimmee. B...          1452752780   \n",
       "15                                        mt perversa eu           113764510   \n",
       "16             THE FFUCK IS THIS https://t.co/LVhxRyLxvc          2197305261   \n",
       "17     It has to be 3-6 players   https://t.co/VzTEQw...           406336381   \n",
       "18                                       @ImJaySteez Duh          3068865861   \n",
       "19                   Ayo #HurrcaneIrma where you at tho            243284501   \n",
       "20     Just posted a photo @ Miami South Beach, Flori...           225118919   \n",
       "21      Amh   aniver da minha coroa,almo o arregadoooooo  807261635924684800   \n",
       "22     temperature up 82 F - gt  84 F humidity down 8...           231639309   \n",
       "23     These news casters don t get paid enough for this           186506078   \n",
       "24     fico tentando achar assunto com essa mina de q...          4720225108   \n",
       "25     DONATE THIS CHANNEL  https://t.co/hchxq37CpI v...            63497195   \n",
       "26                                 @jvnvy Yeeeeeeehawwww          1679199278   \n",
       "27          CARLOOOOSSSS LMFAOOO https://t.co/TM7gr5XEN9           406336381   \n",
       "28     Can t even watch college football cause all th...            37883994   \n",
       "29     This will be a much different view tomorrow ni...          3081221391   \n",
       "...                                                  ...                 ...   \n",
       "39244  you know i do this shit with no effort   https...          3247177830   \n",
       "39245  females grimy nowadays braa . they ll switch u...  892149766343340033   \n",
       "39246  The AC is out at this #WaffleHouse and the pla...           394325917   \n",
       "39247  Algunas fotos del #huracanirma en Sweetwater G...            74467333   \n",
       "39248  The McD s drive thru on Pine Island and Southg...            24878189   \n",
       "39249  : Growth is the Purpose of Life Pt. 2 : These ...           146549112   \n",
       "39250  Post-Irma vibes. #rainbow #hurricaneirma #irma...           292625424   \n",
       "39251  Alert: OUTSIDE FIRE  ENGINE  @ 6461 5 AV N-SP ...            71052378   \n",
       "39252  Of course they are talking to Sternberg when t...          1387348165   \n",
       "39253  CONFIRMED: Hurricane Irma left WDW but brought...           333113172   \n",
       "39254  #CollegeFootball #NavyFAU #ESPNCollegeFootball...          2243547402   \n",
       "39255               People are so ignorant  amp  dirty             155910998   \n",
       "39256  The only thing I have to say after Irma is MY ...           598867449   \n",
       "39257  This version of  Old McDonald  falls of the tr...            14500557   \n",
       "39258  Apesar do estrago, estamos bem gra as a Deus  ...            46288714   \n",
       "39259              i m not dead i wish i was but i m not          1090479170   \n",
       "39260                @chigrl I need this on my forehead.          4788267975   \n",
       "39261                               https://t.co/mFhR...           342994209   \n",
       "39262              @Saints Yall Give AP More Touches Wtf           596910330   \n",
       "39263        storm brings damage   HMM, you don t say             1512163598   \n",
       "39264  @insidefpI don t forget about us here in North...          2368826036   \n",
       "39265  Klk tu Dice  Manana Open Cabin Fever over --- ...            26143847   \n",
       "39266  @ganders76 the pats go to N.O. next  the last ...          1117522494   \n",
       "39267      #WAHOO #RollTRIBE  #INDIANS lead Detroit 5...            34744730   \n",
       "39268  Looks like DA SING OFF  will be happening this...            47537073   \n",
       "39269  Looks like DA SING OFF  will be happening this...            47537073   \n",
       "39270  The first sunset after #HurracaineIrma on #Sie...           519868693   \n",
       "39271  What a difference a daymakes, were out for a s...          1120285314   \n",
       "39272  Guess it ll do, I m super super hungry  at @Ar...          2229094182   \n",
       "39273                                 @ligiaoceanica              1248408648   \n",
       "\n",
       "                      coordinates  \\\n",
       "0          [28.87527778,-81.2525]   \n",
       "1              [29.5381,-81.2234]   \n",
       "2        [28.4363045,-81.4797168]   \n",
       "3                            None   \n",
       "4                            None   \n",
       "5                  [27.91,-82.35]   \n",
       "6      [27.86977674,-82.80524377]   \n",
       "7                            None   \n",
       "8              [27.9709,-82.4646]   \n",
       "9                            None   \n",
       "10                           None   \n",
       "11                           None   \n",
       "12                           None   \n",
       "13                           None   \n",
       "14                           None   \n",
       "15                           None   \n",
       "16                           None   \n",
       "17                           None   \n",
       "18                           None   \n",
       "19                           None   \n",
       "20             [25.7904,-80.1322]   \n",
       "21                           None   \n",
       "22                 [26.62,-80.06]   \n",
       "23                           None   \n",
       "24                           None   \n",
       "25             [25.8081,-80.3533]   \n",
       "26                           None   \n",
       "27                           None   \n",
       "28                           None   \n",
       "29      [28.23083423,-82.7323552]   \n",
       "...                           ...   \n",
       "39244                        None   \n",
       "39245                        None   \n",
       "39246                        None   \n",
       "39247  [25.77325341,-80.37620943]   \n",
       "39248  [26.22786119,-80.27022511]   \n",
       "39249          [25.5609,-80.3834]   \n",
       "39250        [28.60651,-81.52325]   \n",
       "39251   [27.7774849,-82.72577278]   \n",
       "39252                        None   \n",
       "39253                        None   \n",
       "39254      [26.375278,-80.100278]   \n",
       "39255  [30.35154232,-81.59504966]   \n",
       "39256                        None   \n",
       "39257  [28.13333333,-81.63166667]   \n",
       "39258           [28.7576,-81.329]   \n",
       "39259                        None   \n",
       "39260                        None   \n",
       "39261                        None   \n",
       "39262                        None   \n",
       "39263                        None   \n",
       "39264   [26.7351121,-80.05504122]   \n",
       "39265      [26.0089786,-80.24618]   \n",
       "39266    [27.2246313,-80.3531733]   \n",
       "39267  [26.12038575,-80.13118425]   \n",
       "39268        [25.98412,-80.21361]   \n",
       "39269        [25.98412,-80.21361]   \n",
       "39270                        None   \n",
       "39271              [27.19,-82.37]   \n",
       "39272  [28.75665703,-81.35718896]   \n",
       "39273                        None   \n",
       "\n",
       "                                    location_coordinates  longitude  latitude  \\\n",
       "0      [[[-81.285896, 28.84511], [-81.285896, 28.9640...   -81.2525   28.8753   \n",
       "1      [[[-81.279617, 29.424649], [-81.279617, 29.627...   -81.2234   29.5381   \n",
       "2      [[[-87.634643, 24.396308], [-87.634643, 31.001...   -81.4797   28.4363   \n",
       "3      [[[-81.25235, 28.549308], [-81.25235, 28.58224...   -81.2380   28.5658   \n",
       "4      [[[-82.31457, 27.823335], [-82.31457, 27.85374...   -82.2877   27.8385   \n",
       "5      [[[-87.634643, 24.396308], [-87.634643, 31.001...   -82.3500   27.9100   \n",
       "6      [[[-82.81611, 27.80979], [-82.81611, 27.884351...   -82.8052   27.8698   \n",
       "7      [[[-82.771167, 27.839081], [-82.771167, 27.878...   -82.7544   27.8586   \n",
       "8      [[[-82.620093, 27.821353], [-82.620093, 28.171...   -82.4646   27.9709   \n",
       "9      [[[-80.352067, 25.923399], [-80.352067, 25.957...   -80.3226   25.9403   \n",
       "10     [[[-80.352067, 25.923399], [-80.352067, 25.957...   -80.3226   25.9403   \n",
       "11     [[[-80.259871, 25.864967], [-80.259871, 25.897...   -80.2430   25.8813   \n",
       "12     [[[-81.625844, 28.49675], [-81.625844, 28.5954...   -81.5903   28.5461   \n",
       "13     [[[-80.447069, 25.595373], [-80.447069, 25.626...   -80.4282   25.6109   \n",
       "14     [[[-82.733975, 28.299909], [-82.733975, 28.350...   -82.6880   28.3250   \n",
       "15     [[[-81.707927, 28.269589], [-81.707927, 28.434...   -81.6513   28.3522   \n",
       "16     [[[-80.431609, 25.684836], [-80.431609, 25.730...   -80.4074   25.7074   \n",
       "17     [[[-80.246538, 25.926454], [-80.246538, 25.961...   -80.2285   25.9439   \n",
       "18     [[[-80.258078, 25.830731], [-80.258078, 25.847...   -80.2337   25.8389   \n",
       "19     [[[-80.23904, 25.739311], [-80.23904, 25.73931...   -80.2390   25.7393   \n",
       "20     [[[-80.147162, 25.761308], [-80.147162, 25.872...   -80.1322   25.7904   \n",
       "21     [[[-80.147162, 25.761308], [-80.147162, 25.872...   -80.1330   25.8170   \n",
       "22     [[[-80.122484, 26.587884], [-80.122484, 26.646...   -80.0600   26.6200   \n",
       "23     [[[-80.268234, 26.135832], [-80.268234, 26.193...   -80.2304   26.1649   \n",
       "24     [[[-81.535773, 28.518923], [-81.535773, 28.543...   -81.5169   28.5313   \n",
       "25     [[[-80.41729, 25.780974], [-80.41729, 25.87031...   -80.3533   25.8081   \n",
       "26     [[[-82.31457, 27.823335], [-82.31457, 27.85374...   -82.2877   27.8385   \n",
       "27     [[[-80.246538, 25.926454], [-80.246538, 25.961...   -80.2285   25.9439   \n",
       "28     [[[-80.257234, 26.665515], [-80.257234, 26.736...   -80.2067   26.7010   \n",
       "29     [[[-82.764606, 28.216424], [-82.764606, 28.280...   -82.7324   28.2308   \n",
       "...                                                  ...        ...       ...   \n",
       "39244  [[[-80.220059, 26.150582], [-80.220059, 26.186...   -80.2015   26.1684   \n",
       "39245  [[[-80.820872, 28.347876], [-80.820872, 28.418...   -80.7707   28.3833   \n",
       "39246  [[[-82.733, 27.991], [-82.733, 27.991], [-82.7...   -82.7330   27.9910   \n",
       "39247  [[[-80.386249, 25.761172], [-80.386249, 25.783...   -80.3762   25.7733   \n",
       "39248  [[[-80.298308, 26.178836], [-80.298308, 26.230...   -80.2702   26.2279   \n",
       "39249  [[[-80.407893, 25.551181], [-80.407893, 25.574...   -80.3834   25.5609   \n",
       "39250  [[[-81.648788, 28.518918], [-81.648788, 28.692...   -81.5232   28.6065   \n",
       "39251  [[[-82.758209, 27.694323], [-82.758209, 27.897...   -82.7258   27.7775   \n",
       "39252  [[[-82.527472, 27.996725], [-82.527472, 28.037...   -82.5063   28.0170   \n",
       "39253  [[[-81.538267, 28.362991], [-81.538267, 28.398...   -81.5205   28.3808   \n",
       "39254  [[[-80.203991, 26.320692], [-80.203991, 26.427...   -80.1003   26.3753   \n",
       "39255  [[[-81.667378, 30.320695], [-81.667378, 30.334...   -81.5950   30.3515   \n",
       "39256  [[[-80.95985, 26.73948], [-80.95985, 26.766742...   -80.9390   26.7531   \n",
       "39257  [[[-81.666836, 28.072873], [-81.666836, 28.143...   -81.6317   28.1333   \n",
       "39258  [[[-81.373433, 28.726142], [-81.373433, 28.788...   -81.3290   28.7576   \n",
       "39259  [[[-80.612737, 28.114562], [-80.612737, 28.172...   -80.5938   28.1435   \n",
       "39260  [[[-81.625844, 28.49675], [-81.625844, 28.5954...   -81.5903   28.5461   \n",
       "39261  [[[-80.210559, 25.851456], [-80.210559, 25.886...   -80.1876   25.8689   \n",
       "39262  [[[-80.207047, 25.972852], [-80.207047, 25.997...   -80.1621   25.9852   \n",
       "39263  [[[-81.865314, 30.138094], [-81.865314, 30.189...   -81.8216   30.1636   \n",
       "39264  [[[-80.2006, 26.644671], [-80.2006, 26.799121]...   -80.0550   26.7351   \n",
       "39265  [[[-80.442683, 25.992486], [-80.442683, 26.063...   -80.2462   26.0090   \n",
       "39266  [[[-80.457446, 27.20569], [-80.457446, 27.3958...   -80.3532   27.2246   \n",
       "39267  [[[-80.20811, 26.080935], [-80.20811, 26.21980...   -80.1312   26.1204   \n",
       "39268  [[[-80.40816, 25.956799], [-80.40816, 25.99544...   -80.2136   25.9841   \n",
       "39269  [[[-80.40816, 25.956799], [-80.40816, 25.99544...   -80.2136   25.9841   \n",
       "39270  [[[-82.570008, 27.25077], [-82.570008, 27.2994...   -82.5512   27.2751   \n",
       "39271  [[[-87.634643, 24.396308], [-87.634643, 31.001...   -82.3700   27.1900   \n",
       "39272  [[[-81.373433, 28.726142], [-81.373433, 28.788...   -81.3572   28.7567   \n",
       "39273  [[[-82.354162, 28.141461], [-82.354162, 28.171...   -82.3388   28.1564   \n",
       "\n",
       "                    place_id  \\\n",
       "0                    Deltona   \n",
       "1                 Palm Coast   \n",
       "2                    Florida   \n",
       "3                 Union Park   \n",
       "4                    Boyette   \n",
       "5                    Florida   \n",
       "6                   Seminole   \n",
       "7                   Bardmoor   \n",
       "8                      Tampa   \n",
       "9               Country Club   \n",
       "10              Country Club   \n",
       "11                  Westview   \n",
       "12             Winter Garden   \n",
       "13             Richmond West   \n",
       "14             Bayonet Point   \n",
       "15              Four Corners   \n",
       "16             Kendale Lakes   \n",
       "17                Scott Lake   \n",
       "18                 Gladeview   \n",
       "19           Pet Supermarket   \n",
       "20               Miami Beach   \n",
       "21               Miami Beach   \n",
       "22                Lake Worth   \n",
       "23                Lauderhill   \n",
       "24                     Gotha   \n",
       "25                     Doral   \n",
       "26                   Boyette   \n",
       "27                Scott Lake   \n",
       "28          Royal Palm Beach   \n",
       "29           New Port Richey   \n",
       "...                      ...   \n",
       "39244       Lauderdale Lakes   \n",
       "39245                  Cocoa   \n",
       "39246           Waffle House   \n",
       "39247         Fountainebleau   \n",
       "39248                Tamarac   \n",
       "39249                 Goulds   \n",
       "39250                  Ocoee   \n",
       "39251          St Petersburg   \n",
       "39252        Egypt Lake-Leto   \n",
       "39253       Lake Buena Vista   \n",
       "39254             Boca Raton   \n",
       "39255  Downtown Jacksonville   \n",
       "39256              Clewiston   \n",
       "39257            Haines City   \n",
       "39258              Lake Mary   \n",
       "39259   Indian Harbour Beach   \n",
       "39260          Winter Garden   \n",
       "39261           Miami Shores   \n",
       "39262       Hallandale Beach   \n",
       "39263     Oakleaf Plantation   \n",
       "39264        West Palm Beach   \n",
       "39265         Pembroke Pines   \n",
       "39266          Port St Lucie   \n",
       "39267        Fort Lauderdale   \n",
       "39268                Miramar   \n",
       "39269                Miramar   \n",
       "39270             Siesta Key   \n",
       "39271                Florida   \n",
       "39272              Lake Mary   \n",
       "39273           Pebble Creek   \n",
       "\n",
       "                                               image_url language  \\\n",
       "0                                                   None       en   \n",
       "1                                                   None       en   \n",
       "2                                                   None       en   \n",
       "3                                                   None       en   \n",
       "4                                                   None       en   \n",
       "5                                                   None       en   \n",
       "6                                                   None       en   \n",
       "7                                                   None       en   \n",
       "8                                                   None       en   \n",
       "9                                                   None       en   \n",
       "10                                                  None       en   \n",
       "11                                                  None       en   \n",
       "12                                                  None       en   \n",
       "13                                                  None       en   \n",
       "14                                                  None       en   \n",
       "15                                                  None       pt   \n",
       "16                                                  None       en   \n",
       "17                                                  None       en   \n",
       "18                                                  None      und   \n",
       "19                                                  None       en   \n",
       "20                                                  None       en   \n",
       "21                                                  None       pt   \n",
       "22                                                  None       en   \n",
       "23                                                  None       en   \n",
       "24                                                  None       pt   \n",
       "25                                                  None       en   \n",
       "26                                                  None       en   \n",
       "27                                                  None       en   \n",
       "28                                                  None       en   \n",
       "29                                                  None       en   \n",
       "...                                                  ...      ...   \n",
       "39244                                               None       en   \n",
       "39245                                               None       en   \n",
       "39246                                               None       en   \n",
       "39247                                               None       es   \n",
       "39248                                               None       en   \n",
       "39249                                               None       en   \n",
       "39250                                               None       en   \n",
       "39251                                               None       et   \n",
       "39252                                               None       en   \n",
       "39253                                               None       en   \n",
       "39254                                               None       in   \n",
       "39255                                               None       en   \n",
       "39256                                               None       en   \n",
       "39257                                               None       en   \n",
       "39258                                               None       pt   \n",
       "39259                                               None       en   \n",
       "39260                                               None       en   \n",
       "39261                                               None      und   \n",
       "39262                                               None       en   \n",
       "39263                                               None       en   \n",
       "39264                                               None       en   \n",
       "39265                                               None       tl   \n",
       "39266                                               None       en   \n",
       "39267     http://pbs.twimg.com/media/DJe1Sz8UIAAFFlp.jpg       en   \n",
       "39268                                               None       en   \n",
       "39269                                               None       en   \n",
       "39270  http://pbs.twimg.com/ext_tw_video_thumb/907393...       en   \n",
       "39271                                               None       en   \n",
       "39272                                               None       en   \n",
       "39273                                               None      und   \n",
       "\n",
       "                                                hashtags  \n",
       "0                                                   None  \n",
       "1                                                   None  \n",
       "2                    Carpool,Orlando,Orlando,KIrkmanRoad  \n",
       "3                                                   None  \n",
       "4                                                   None  \n",
       "5                                                   None  \n",
       "6                                                   None  \n",
       "7                                      IrmaHurricane2017  \n",
       "8      hurricane,hurricaneirma,sunset,tampa,florida,w...  \n",
       "9                                                   None  \n",
       "10                                                  None  \n",
       "11                                                  None  \n",
       "12                                                  None  \n",
       "13                                                  None  \n",
       "14                                                  None  \n",
       "15                                                  None  \n",
       "16                                                  None  \n",
       "17                                                  None  \n",
       "18                                                  None  \n",
       "19                                          HurrcaneIrma  \n",
       "20                                                  None  \n",
       "21                                                  None  \n",
       "22                                                  None  \n",
       "23                                                  None  \n",
       "24                                                  None  \n",
       "25                                                  None  \n",
       "26                                                  None  \n",
       "27                                                  None  \n",
       "28                                                  None  \n",
       "29                                                  None  \n",
       "...                                                  ...  \n",
       "39244                                               None  \n",
       "39245                                               None  \n",
       "39246                                        WaffleHouse  \n",
       "39247                                        huracanirma  \n",
       "39248                                               None  \n",
       "39249                                               None  \n",
       "39250          rainbow,hurricaneirma,irmagerd,irmageddon  \n",
       "39251                                               None  \n",
       "39252                                               Rays  \n",
       "39253                                               None  \n",
       "39254  CollegeFootball,NavyFAU,ESPNCollegeFootball,Sp...  \n",
       "39255                                               None  \n",
       "39256                                               None  \n",
       "39257                                               None  \n",
       "39258                                thanksgod,hurricane  \n",
       "39259                                               None  \n",
       "39260                                               None  \n",
       "39261                                               None  \n",
       "39262                                               None  \n",
       "39263                                               None  \n",
       "39264                               powerless,irmageddon  \n",
       "39265                                               None  \n",
       "39266                                               None  \n",
       "39267                            WAHOO,RollTRIBE,INDIANS  \n",
       "39268                                               None  \n",
       "39269                                               None  \n",
       "39270                           HurracaineIrma,SiestaKey  \n",
       "39271                                               None  \n",
       "39272                                               None  \n",
       "39273                                               None  \n",
       "\n",
       "[39274 rows x 12 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweetsDuringEvent = pd.read_sql(\"SELECT * FROM tweetCoords WHERE CREATED_AT >= DATE('2017-09-10') AND CREATED_AT <= DATE('2017-09-12')\", Database().myDB)\n",
    "tweetsDuringEvent"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The upcoming lines has nothing to do with ML Training, but rather with data , database, and features. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This will download all the images from the data frame, store them on your secondary storage, and return the array of each image.\n",
    "### Don't run if you don't want to download!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from Classes.TweetsProcessor import TweetsProcessor\n",
    "allImages = TweetsProcessor.getAllImages(tweetsDuringEvent, 'image_url')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The next code was intended to decide if a tweet\n",
    "#### 1) has an image.\n",
    "#### 2) has a hashtag.\n",
    "####  3) has a URL.\n",
    "### Then to store it in the database to not compute it each time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "myTweets = pd.read_sql(\"SELECT * FROM polished_tweets\", Database().myDB, index_col='tweet_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "def getLinks(texts):\n",
    "    ans = []\n",
    "    for text in texts:\n",
    "        ans.append(len(re.findall('http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', text)) != 0)\n",
    "    return ans\n",
    "myTweets['has_url'] = getLinks(myTweets['text'])\n",
    "myTweets.has_hashtags = myTweets.has_hashtags == 1\n",
    "myTweets.has_image = myTweets.has_image == 1\n",
    "myTweets = myTweets[['text','created_at','user_id','latitude','longitude','has_image','has_hashtags','has_url','image_url']]\n",
    "myTweets = myTweets.drop(axis=1, columns=['text','created_at','user_id','latitude','longitude','image_url'])\n",
    "myTweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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      ],
      "text/plain": [
       "                    has_image  has_hashtags  has_url\n",
       "tweet_id                                            \n",
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       "917902393962041345      False          True     True\n",
       "917902396386398208      False         False     True\n",
       "917902396696813568      False         False    False\n",
       "917902401394356224      False         False    False\n",
       "917902407513894912      False          True    False\n",
       "917902422625878016      False          True     True\n",
       "917902435108179970      False          True     True\n",
       "917902474861740032      False          True     True\n",
       "917902479542640640      False         False    False\n",
       "917902481895682050      False         False     True\n",
       "917902488099049472      False         False    False\n",
       "917902488619151361      False         False     True\n",
       "917902489411825664      False          True     True\n",
       "917902491869679616      False         False    False\n",
       "917902522236506113      False         False     True\n",
       "917902532780978177      False         False     True\n",
       "\n",
       "[784322 rows x 3 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myTweets.to_sql(con=engine,name='tweetFeatures',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>TIMESTEP</th>\n",
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       "    <tr>\n",
       "      <th>2017-09-01 00:00:00</th>\n",
       "      <td>0.009668</td>\n",
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       "      <td>0.001299</td>\n",
       "      <td>0.015571</td>\n",
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       "      <td>0.196566</td>\n",
       "      <td>0.226984</td>\n",
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       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
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       "    <tr>\n",
       "      <th>2017-09-01 01:00:00</th>\n",
       "      <td>0.011115</td>\n",
       "      <td>0.014480</td>\n",
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       "      <td>0.005921</td>\n",
       "      <td>0.056444</td>\n",
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       "      <td>0.150972</td>\n",
       "      <td>0.195730</td>\n",
       "      <td>0.229328</td>\n",
       "      <td>0.247223</td>\n",
       "      <td>...</td>\n",
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       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
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       "    <tr>\n",
       "      <th>2017-09-01 02:00:00</th>\n",
       "      <td>0.002932</td>\n",
       "      <td>0.002637</td>\n",
       "      <td>0.002441</td>\n",
       "      <td>0.002777</td>\n",
       "      <td>0.027159</td>\n",
       "      <td>0.082410</td>\n",
       "      <td>0.102093</td>\n",
       "      <td>0.131874</td>\n",
       "      <td>0.222875</td>\n",
       "      <td>0.243937</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
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       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
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       "    <tr>\n",
       "      <th>2017-09-01 03:00:00</th>\n",
       "      <td>0.001713</td>\n",
       "      <td>0.002004</td>\n",
       "      <td>0.001855</td>\n",
       "      <td>0.001763</td>\n",
       "      <td>0.019172</td>\n",
       "      <td>0.089922</td>\n",
       "      <td>0.101567</td>\n",
       "      <td>0.143430</td>\n",
       "      <td>0.176375</td>\n",
       "      <td>0.201760</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 04:00:00</th>\n",
       "      <td>0.002471</td>\n",
       "      <td>0.004103</td>\n",
       "      <td>0.003797</td>\n",
       "      <td>0.003609</td>\n",
       "      <td>0.005818</td>\n",
       "      <td>0.053722</td>\n",
       "      <td>0.103217</td>\n",
       "      <td>0.155719</td>\n",
       "      <td>0.183251</td>\n",
       "      <td>0.196870</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 05:00:00</th>\n",
       "      <td>0.000436</td>\n",
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       "      <td>0.000352</td>\n",
       "      <td>0.000334</td>\n",
       "      <td>0.000427</td>\n",
       "      <td>0.001022</td>\n",
       "      <td>0.001786</td>\n",
       "      <td>0.025016</td>\n",
       "      <td>0.031399</td>\n",
       "      <td>0.040077</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 06:00:00</th>\n",
       "      <td>0.035263</td>\n",
       "      <td>0.031358</td>\n",
       "      <td>0.023869</td>\n",
       "      <td>0.016814</td>\n",
       "      <td>0.014492</td>\n",
       "      <td>0.016675</td>\n",
       "      <td>0.024465</td>\n",
       "      <td>0.027549</td>\n",
       "      <td>0.028715</td>\n",
       "      <td>0.029575</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 07:00:00</th>\n",
       "      <td>0.036576</td>\n",
       "      <td>0.052734</td>\n",
       "      <td>0.050813</td>\n",
       "      <td>0.046227</td>\n",
       "      <td>0.040803</td>\n",
       "      <td>0.038866</td>\n",
       "      <td>0.039310</td>\n",
       "      <td>0.042004</td>\n",
       "      <td>0.046689</td>\n",
       "      <td>0.048386</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 08:00:00</th>\n",
       "      <td>0.083020</td>\n",
       "      <td>0.075168</td>\n",
       "      <td>0.086093</td>\n",
       "      <td>0.075829</td>\n",
       "      <td>0.056539</td>\n",
       "      <td>0.041347</td>\n",
       "      <td>0.037192</td>\n",
       "      <td>0.030390</td>\n",
       "      <td>0.042740</td>\n",
       "      <td>0.046134</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 09:00:00</th>\n",
       "      <td>0.473350</td>\n",
       "      <td>0.383620</td>\n",
       "      <td>0.375474</td>\n",
       "      <td>0.312807</td>\n",
       "      <td>0.262268</td>\n",
       "      <td>0.160382</td>\n",
       "      <td>0.148517</td>\n",
       "      <td>0.082288</td>\n",
       "      <td>0.087436</td>\n",
       "      <td>0.088536</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 10:00:00</th>\n",
       "      <td>0.624217</td>\n",
       "      <td>0.569734</td>\n",
       "      <td>0.520162</td>\n",
       "      <td>0.475212</td>\n",
       "      <td>0.423291</td>\n",
       "      <td>0.311985</td>\n",
       "      <td>0.237998</td>\n",
       "      <td>0.175198</td>\n",
       "      <td>0.167130</td>\n",
       "      <td>0.156434</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 11:00:00</th>\n",
       "      <td>0.357505</td>\n",
       "      <td>0.338110</td>\n",
       "      <td>0.314451</td>\n",
       "      <td>0.298513</td>\n",
       "      <td>0.291979</td>\n",
       "      <td>0.290572</td>\n",
       "      <td>0.281099</td>\n",
       "      <td>0.262587</td>\n",
       "      <td>0.291330</td>\n",
       "      <td>0.274290</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 12:00:00</th>\n",
       "      <td>0.283911</td>\n",
       "      <td>0.301876</td>\n",
       "      <td>0.289684</td>\n",
       "      <td>0.291151</td>\n",
       "      <td>0.281567</td>\n",
       "      <td>0.264247</td>\n",
       "      <td>0.255849</td>\n",
       "      <td>0.239753</td>\n",
       "      <td>0.240744</td>\n",
       "      <td>0.209103</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 13:00:00</th>\n",
       "      <td>0.107673</td>\n",
       "      <td>0.119008</td>\n",
       "      <td>0.126952</td>\n",
       "      <td>0.146822</td>\n",
       "      <td>0.164769</td>\n",
       "      <td>0.175292</td>\n",
       "      <td>0.174310</td>\n",
       "      <td>0.155328</td>\n",
       "      <td>0.164171</td>\n",
       "      <td>0.108335</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 14:00:00</th>\n",
       "      <td>0.029192</td>\n",
       "      <td>0.036401</td>\n",
       "      <td>0.037973</td>\n",
       "      <td>0.048116</td>\n",
       "      <td>0.064275</td>\n",
       "      <td>0.073714</td>\n",
       "      <td>0.072678</td>\n",
       "      <td>0.067914</td>\n",
       "      <td>0.102922</td>\n",
       "      <td>0.083427</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 15:00:00</th>\n",
       "      <td>0.055295</td>\n",
       "      <td>0.050264</td>\n",
       "      <td>0.044392</td>\n",
       "      <td>0.040042</td>\n",
       "      <td>0.040563</td>\n",
       "      <td>0.049978</td>\n",
       "      <td>0.050436</td>\n",
       "      <td>0.047730</td>\n",
       "      <td>0.051525</td>\n",
       "      <td>0.047356</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 16:00:00</th>\n",
       "      <td>0.086994</td>\n",
       "      <td>0.076453</td>\n",
       "      <td>0.069631</td>\n",
       "      <td>0.053260</td>\n",
       "      <td>0.045998</td>\n",
       "      <td>0.044647</td>\n",
       "      <td>0.044193</td>\n",
       "      <td>0.035064</td>\n",
       "      <td>0.032099</td>\n",
       "      <td>0.024286</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 17:00:00</th>\n",
       "      <td>0.198924</td>\n",
       "      <td>0.175732</td>\n",
       "      <td>0.150173</td>\n",
       "      <td>0.141286</td>\n",
       "      <td>0.134192</td>\n",
       "      <td>0.130379</td>\n",
       "      <td>0.129124</td>\n",
       "      <td>0.105787</td>\n",
       "      <td>0.080319</td>\n",
       "      <td>0.016693</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 18:00:00</th>\n",
       "      <td>0.052010</td>\n",
       "      <td>0.049942</td>\n",
       "      <td>0.048473</td>\n",
       "      <td>0.057765</td>\n",
       "      <td>0.056802</td>\n",
       "      <td>0.055188</td>\n",
       "      <td>0.054657</td>\n",
       "      <td>0.054975</td>\n",
       "      <td>0.054306</td>\n",
       "      <td>0.033748</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 19:00:00</th>\n",
       "      <td>0.032843</td>\n",
       "      <td>0.047065</td>\n",
       "      <td>0.071678</td>\n",
       "      <td>0.073654</td>\n",
       "      <td>0.072815</td>\n",
       "      <td>0.070829</td>\n",
       "      <td>0.071583</td>\n",
       "      <td>0.072241</td>\n",
       "      <td>0.072754</td>\n",
       "      <td>0.073908</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 20:00:00</th>\n",
       "      <td>0.037114</td>\n",
       "      <td>0.057596</td>\n",
       "      <td>0.111082</td>\n",
       "      <td>0.190619</td>\n",
       "      <td>0.211253</td>\n",
       "      <td>0.212897</td>\n",
       "      <td>0.212782</td>\n",
       "      <td>0.219176</td>\n",
       "      <td>0.227841</td>\n",
       "      <td>0.230851</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 21:00:00</th>\n",
       "      <td>0.144567</td>\n",
       "      <td>0.205305</td>\n",
       "      <td>0.219991</td>\n",
       "      <td>0.250582</td>\n",
       "      <td>0.324206</td>\n",
       "      <td>0.421955</td>\n",
       "      <td>0.458784</td>\n",
       "      <td>0.495196</td>\n",
       "      <td>0.526466</td>\n",
       "      <td>0.548274</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 22:00:00</th>\n",
       "      <td>0.135745</td>\n",
       "      <td>0.167026</td>\n",
       "      <td>0.211752</td>\n",
       "      <td>0.224373</td>\n",
       "      <td>0.236692</td>\n",
       "      <td>0.309256</td>\n",
       "      <td>0.372043</td>\n",
       "      <td>0.541092</td>\n",
       "      <td>0.583783</td>\n",
       "      <td>0.647542</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 23:00:00</th>\n",
       "      <td>0.060919</td>\n",
       "      <td>0.074754</td>\n",
       "      <td>0.113136</td>\n",
       "      <td>0.176260</td>\n",
       "      <td>0.216045</td>\n",
       "      <td>0.299812</td>\n",
       "      <td>0.324088</td>\n",
       "      <td>0.551928</td>\n",
       "      <td>0.779239</td>\n",
       "      <td>0.888090</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 00:00:00</th>\n",
       "      <td>0.041191</td>\n",
       "      <td>0.081801</td>\n",
       "      <td>0.092830</td>\n",
       "      <td>0.100479</td>\n",
       "      <td>0.183707</td>\n",
       "      <td>0.322143</td>\n",
       "      <td>0.361488</td>\n",
       "      <td>0.501356</td>\n",
       "      <td>0.681221</td>\n",
       "      <td>0.794104</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 01:00:00</th>\n",
       "      <td>0.036098</td>\n",
       "      <td>0.047909</td>\n",
       "      <td>0.073483</td>\n",
       "      <td>0.095281</td>\n",
       "      <td>0.167641</td>\n",
       "      <td>0.386591</td>\n",
       "      <td>0.496494</td>\n",
       "      <td>0.697251</td>\n",
       "      <td>0.962815</td>\n",
       "      <td>1.081332</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 02:00:00</th>\n",
       "      <td>0.057736</td>\n",
       "      <td>0.069728</td>\n",
       "      <td>0.120970</td>\n",
       "      <td>0.130177</td>\n",
       "      <td>0.210895</td>\n",
       "      <td>0.349894</td>\n",
       "      <td>0.479167</td>\n",
       "      <td>0.987399</td>\n",
       "      <td>1.421494</td>\n",
       "      <td>1.502441</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 03:00:00</th>\n",
       "      <td>0.070536</td>\n",
       "      <td>0.087223</td>\n",
       "      <td>0.134923</td>\n",
       "      <td>0.193754</td>\n",
       "      <td>0.277685</td>\n",
       "      <td>0.381416</td>\n",
       "      <td>0.436303</td>\n",
       "      <td>0.620982</td>\n",
       "      <td>1.048044</td>\n",
       "      <td>1.096803</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 04:00:00</th>\n",
       "      <td>0.341452</td>\n",
       "      <td>0.508408</td>\n",
       "      <td>0.548404</td>\n",
       "      <td>0.597908</td>\n",
       "      <td>0.711842</td>\n",
       "      <td>0.902901</td>\n",
       "      <td>0.949546</td>\n",
       "      <td>1.025412</td>\n",
       "      <td>1.307379</td>\n",
       "      <td>1.261584</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 05:00:00</th>\n",
       "      <td>0.409423</td>\n",
       "      <td>0.716618</td>\n",
       "      <td>0.838591</td>\n",
       "      <td>0.847938</td>\n",
       "      <td>0.997805</td>\n",
       "      <td>1.098571</td>\n",
       "      <td>1.130756</td>\n",
       "      <td>1.226727</td>\n",
       "      <td>1.400736</td>\n",
       "      <td>1.396026</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-09 19:00:00</th>\n",
       "      <td>0.001981</td>\n",
       "      <td>0.001806</td>\n",
       "      <td>0.001738</td>\n",
       "      <td>0.001759</td>\n",
       "      <td>0.001644</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>0.001219</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>0.000460</td>\n",
       "      <td>0.001148</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-09 20:00:00</th>\n",
       "      <td>0.006568</td>\n",
       "      <td>0.006652</td>\n",
       "      <td>0.007112</td>\n",
       "      <td>0.006770</td>\n",
       "      <td>0.005081</td>\n",
       "      <td>0.004246</td>\n",
       "      <td>0.004148</td>\n",
       "      <td>0.004188</td>\n",
       "      <td>0.002948</td>\n",
       "      <td>0.004641</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-09 21:00:00</th>\n",
       "      <td>0.026631</td>\n",
       "      <td>0.024723</td>\n",
       "      <td>0.026577</td>\n",
       "      <td>0.026199</td>\n",
       "      <td>0.019688</td>\n",
       "      <td>0.019451</td>\n",
       "      <td>0.019996</td>\n",
       "      <td>0.022413</td>\n",
       "      <td>0.020122</td>\n",
       "      <td>0.023553</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-09 22:00:00</th>\n",
       "      <td>0.053069</td>\n",
       "      <td>0.050286</td>\n",
       "      <td>0.049653</td>\n",
       "      <td>0.046601</td>\n",
       "      <td>0.043144</td>\n",
       "      <td>0.046661</td>\n",
       "      <td>0.048376</td>\n",
       "      <td>0.054559</td>\n",
       "      <td>0.054536</td>\n",
       "      <td>0.063987</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-09 23:00:00</th>\n",
       "      <td>0.133031</td>\n",
       "      <td>0.121811</td>\n",
       "      <td>0.120879</td>\n",
       "      <td>0.108831</td>\n",
       "      <td>0.096386</td>\n",
       "      <td>0.085527</td>\n",
       "      <td>0.086608</td>\n",
       "      <td>0.105259</td>\n",
       "      <td>0.083033</td>\n",
       "      <td>0.086432</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 00:00:00</th>\n",
       "      <td>0.207862</td>\n",
       "      <td>0.185953</td>\n",
       "      <td>0.172601</td>\n",
       "      <td>0.151826</td>\n",
       "      <td>0.139614</td>\n",
       "      <td>0.120615</td>\n",
       "      <td>0.115693</td>\n",
       "      <td>0.101003</td>\n",
       "      <td>0.067455</td>\n",
       "      <td>0.075638</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 01:00:00</th>\n",
       "      <td>0.236748</td>\n",
       "      <td>0.223334</td>\n",
       "      <td>0.210796</td>\n",
       "      <td>0.164825</td>\n",
       "      <td>0.119544</td>\n",
       "      <td>0.106147</td>\n",
       "      <td>0.101989</td>\n",
       "      <td>0.085060</td>\n",
       "      <td>0.061513</td>\n",
       "      <td>0.060638</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 02:00:00</th>\n",
       "      <td>0.297772</td>\n",
       "      <td>0.277947</td>\n",
       "      <td>0.263022</td>\n",
       "      <td>0.241602</td>\n",
       "      <td>0.189991</td>\n",
       "      <td>0.156844</td>\n",
       "      <td>0.153596</td>\n",
       "      <td>0.144259</td>\n",
       "      <td>0.079697</td>\n",
       "      <td>0.068153</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 03:00:00</th>\n",
       "      <td>0.513826</td>\n",
       "      <td>0.468559</td>\n",
       "      <td>0.421298</td>\n",
       "      <td>0.363327</td>\n",
       "      <td>0.343719</td>\n",
       "      <td>0.319364</td>\n",
       "      <td>0.308508</td>\n",
       "      <td>0.259097</td>\n",
       "      <td>0.210186</td>\n",
       "      <td>0.180588</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 04:00:00</th>\n",
       "      <td>0.464530</td>\n",
       "      <td>0.445615</td>\n",
       "      <td>0.402267</td>\n",
       "      <td>0.382667</td>\n",
       "      <td>0.354929</td>\n",
       "      <td>0.336044</td>\n",
       "      <td>0.323348</td>\n",
       "      <td>0.224960</td>\n",
       "      <td>0.190421</td>\n",
       "      <td>0.149061</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 05:00:00</th>\n",
       "      <td>0.108273</td>\n",
       "      <td>0.145877</td>\n",
       "      <td>0.160358</td>\n",
       "      <td>0.196951</td>\n",
       "      <td>0.220431</td>\n",
       "      <td>0.218448</td>\n",
       "      <td>0.186605</td>\n",
       "      <td>0.100845</td>\n",
       "      <td>0.083270</td>\n",
       "      <td>0.052109</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 06:00:00</th>\n",
       "      <td>0.082274</td>\n",
       "      <td>0.074736</td>\n",
       "      <td>0.069439</td>\n",
       "      <td>0.068767</td>\n",
       "      <td>0.071392</td>\n",
       "      <td>0.079269</td>\n",
       "      <td>0.073890</td>\n",
       "      <td>0.046354</td>\n",
       "      <td>0.019708</td>\n",
       "      <td>0.011008</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 07:00:00</th>\n",
       "      <td>0.108560</td>\n",
       "      <td>0.099007</td>\n",
       "      <td>0.090911</td>\n",
       "      <td>0.084932</td>\n",
       "      <td>0.081607</td>\n",
       "      <td>0.079050</td>\n",
       "      <td>0.077341</td>\n",
       "      <td>0.028230</td>\n",
       "      <td>0.009420</td>\n",
       "      <td>0.004245</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 08:00:00</th>\n",
       "      <td>0.035383</td>\n",
       "      <td>0.031909</td>\n",
       "      <td>0.028477</td>\n",
       "      <td>0.023447</td>\n",
       "      <td>0.022370</td>\n",
       "      <td>0.021702</td>\n",
       "      <td>0.020606</td>\n",
       "      <td>0.001964</td>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.000105</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 09:00:00</th>\n",
       "      <td>0.002227</td>\n",
       "      <td>0.002030</td>\n",
       "      <td>0.001879</td>\n",
       "      <td>0.001969</td>\n",
       "      <td>0.000989</td>\n",
       "      <td>0.000962</td>\n",
       "      <td>0.001017</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>0.000126</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 10:00:00</th>\n",
       "      <td>0.000867</td>\n",
       "      <td>0.000663</td>\n",
       "      <td>0.000614</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 11:00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 12:00:00</th>\n",
       "      <td>0.000224</td>\n",
       "      <td>0.000204</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 13:00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 14:00:00</th>\n",
       "      <td>0.000253</td>\n",
       "      <td>0.000268</td>\n",
       "      <td>0.000331</td>\n",
       "      <td>0.000315</td>\n",
       "      <td>0.000302</td>\n",
       "      <td>0.000294</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000293</td>\n",
       "      <td>0.000231</td>\n",
       "      <td>0.000231</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 15:00:00</th>\n",
       "      <td>0.002147</td>\n",
       "      <td>0.001957</td>\n",
       "      <td>0.001831</td>\n",
       "      <td>0.001790</td>\n",
       "      <td>0.001913</td>\n",
       "      <td>0.001440</td>\n",
       "      <td>0.001249</td>\n",
       "      <td>0.001010</td>\n",
       "      <td>0.000147</td>\n",
       "      <td>0.000184</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 16:00:00</th>\n",
       "      <td>0.008611</td>\n",
       "      <td>0.007641</td>\n",
       "      <td>0.007071</td>\n",
       "      <td>0.006720</td>\n",
       "      <td>0.006376</td>\n",
       "      <td>0.004631</td>\n",
       "      <td>0.004368</td>\n",
       "      <td>0.002153</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 17:00:00</th>\n",
       "      <td>0.009243</td>\n",
       "      <td>0.008426</td>\n",
       "      <td>0.007222</td>\n",
       "      <td>0.006624</td>\n",
       "      <td>0.006356</td>\n",
       "      <td>0.006001</td>\n",
       "      <td>0.005653</td>\n",
       "      <td>0.002658</td>\n",
       "      <td>0.000685</td>\n",
       "      <td>0.001006</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 18:00:00</th>\n",
       "      <td>0.008573</td>\n",
       "      <td>0.011621</td>\n",
       "      <td>0.015100</td>\n",
       "      <td>0.018143</td>\n",
       "      <td>0.018726</td>\n",
       "      <td>0.018189</td>\n",
       "      <td>0.017653</td>\n",
       "      <td>0.017514</td>\n",
       "      <td>0.017591</td>\n",
       "      <td>0.018203</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 19:00:00</th>\n",
       "      <td>0.064452</td>\n",
       "      <td>0.063309</td>\n",
       "      <td>0.074417</td>\n",
       "      <td>0.094610</td>\n",
       "      <td>0.088994</td>\n",
       "      <td>0.083522</td>\n",
       "      <td>0.081986</td>\n",
       "      <td>0.080538</td>\n",
       "      <td>0.081346</td>\n",
       "      <td>0.086349</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 20:00:00</th>\n",
       "      <td>0.077863</td>\n",
       "      <td>0.074709</td>\n",
       "      <td>0.081429</td>\n",
       "      <td>0.144486</td>\n",
       "      <td>0.145311</td>\n",
       "      <td>0.139206</td>\n",
       "      <td>0.137818</td>\n",
       "      <td>0.141765</td>\n",
       "      <td>0.145727</td>\n",
       "      <td>0.155796</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 21:00:00</th>\n",
       "      <td>0.065761</td>\n",
       "      <td>0.076318</td>\n",
       "      <td>0.073985</td>\n",
       "      <td>0.118333</td>\n",
       "      <td>0.168237</td>\n",
       "      <td>0.163456</td>\n",
       "      <td>0.161914</td>\n",
       "      <td>0.170012</td>\n",
       "      <td>0.180078</td>\n",
       "      <td>0.181679</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 22:00:00</th>\n",
       "      <td>0.118940</td>\n",
       "      <td>0.216425</td>\n",
       "      <td>0.225932</td>\n",
       "      <td>0.237720</td>\n",
       "      <td>0.256828</td>\n",
       "      <td>0.256114</td>\n",
       "      <td>0.253715</td>\n",
       "      <td>0.261625</td>\n",
       "      <td>0.269390</td>\n",
       "      <td>0.271699</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-10 23:00:00</th>\n",
       "      <td>0.052799</td>\n",
       "      <td>0.127481</td>\n",
       "      <td>0.270325</td>\n",
       "      <td>0.280276</td>\n",
       "      <td>0.269109</td>\n",
       "      <td>0.267195</td>\n",
       "      <td>0.265986</td>\n",
       "      <td>0.270010</td>\n",
       "      <td>0.271360</td>\n",
       "      <td>0.273805</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-11 00:00:00</th>\n",
       "      <td>0.018217</td>\n",
       "      <td>0.056019</td>\n",
       "      <td>0.154909</td>\n",
       "      <td>0.222152</td>\n",
       "      <td>0.226938</td>\n",
       "      <td>0.221053</td>\n",
       "      <td>0.223357</td>\n",
       "      <td>0.243347</td>\n",
       "      <td>0.250682</td>\n",
       "      <td>0.253133</td>\n",
       "      <td>...</td>\n",
       "      <td>5980</td>\n",
       "      <td>5941</td>\n",
       "      <td>5853</td>\n",
       "      <td>5787</td>\n",
       "      <td>5700</td>\n",
       "      <td>5645</td>\n",
       "      <td>5559</td>\n",
       "      <td>5521</td>\n",
       "      <td>5473</td>\n",
       "      <td>26116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>961 rows × 182 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       18mean    19mean    20mean    21mean    22mean  \\\n",
       "TIMESTEP                                                                \n",
       "2017-09-01 00:00:00  0.009668  0.008861  0.005392  0.001299  0.015571   \n",
       "2017-09-01 01:00:00  0.011115  0.014480  0.009793  0.005921  0.056444   \n",
       "2017-09-01 02:00:00  0.002932  0.002637  0.002441  0.002777  0.027159   \n",
       "2017-09-01 03:00:00  0.001713  0.002004  0.001855  0.001763  0.019172   \n",
       "2017-09-01 04:00:00  0.002471  0.004103  0.003797  0.003609  0.005818   \n",
       "2017-09-01 05:00:00  0.000436  0.000380  0.000352  0.000334  0.000427   \n",
       "2017-09-01 06:00:00  0.035263  0.031358  0.023869  0.016814  0.014492   \n",
       "2017-09-01 07:00:00  0.036576  0.052734  0.050813  0.046227  0.040803   \n",
       "2017-09-01 08:00:00  0.083020  0.075168  0.086093  0.075829  0.056539   \n",
       "2017-09-01 09:00:00  0.473350  0.383620  0.375474  0.312807  0.262268   \n",
       "2017-09-01 10:00:00  0.624217  0.569734  0.520162  0.475212  0.423291   \n",
       "2017-09-01 11:00:00  0.357505  0.338110  0.314451  0.298513  0.291979   \n",
       "2017-09-01 12:00:00  0.283911  0.301876  0.289684  0.291151  0.281567   \n",
       "2017-09-01 13:00:00  0.107673  0.119008  0.126952  0.146822  0.164769   \n",
       "2017-09-01 14:00:00  0.029192  0.036401  0.037973  0.048116  0.064275   \n",
       "2017-09-01 15:00:00  0.055295  0.050264  0.044392  0.040042  0.040563   \n",
       "2017-09-01 16:00:00  0.086994  0.076453  0.069631  0.053260  0.045998   \n",
       "2017-09-01 17:00:00  0.198924  0.175732  0.150173  0.141286  0.134192   \n",
       "2017-09-01 18:00:00  0.052010  0.049942  0.048473  0.057765  0.056802   \n",
       "2017-09-01 19:00:00  0.032843  0.047065  0.071678  0.073654  0.072815   \n",
       "2017-09-01 20:00:00  0.037114  0.057596  0.111082  0.190619  0.211253   \n",
       "2017-09-01 21:00:00  0.144567  0.205305  0.219991  0.250582  0.324206   \n",
       "2017-09-01 22:00:00  0.135745  0.167026  0.211752  0.224373  0.236692   \n",
       "2017-09-01 23:00:00  0.060919  0.074754  0.113136  0.176260  0.216045   \n",
       "2017-09-02 00:00:00  0.041191  0.081801  0.092830  0.100479  0.183707   \n",
       "2017-09-02 01:00:00  0.036098  0.047909  0.073483  0.095281  0.167641   \n",
       "2017-09-02 02:00:00  0.057736  0.069728  0.120970  0.130177  0.210895   \n",
       "2017-09-02 03:00:00  0.070536  0.087223  0.134923  0.193754  0.277685   \n",
       "2017-09-02 04:00:00  0.341452  0.508408  0.548404  0.597908  0.711842   \n",
       "2017-09-02 05:00:00  0.409423  0.716618  0.838591  0.847938  0.997805   \n",
       "...                       ...       ...       ...       ...       ...   \n",
       "2017-10-09 19:00:00  0.001981  0.001806  0.001738  0.001759  0.001644   \n",
       "2017-10-09 20:00:00  0.006568  0.006652  0.007112  0.006770  0.005081   \n",
       "2017-10-09 21:00:00  0.026631  0.024723  0.026577  0.026199  0.019688   \n",
       "2017-10-09 22:00:00  0.053069  0.050286  0.049653  0.046601  0.043144   \n",
       "2017-10-09 23:00:00  0.133031  0.121811  0.120879  0.108831  0.096386   \n",
       "2017-10-10 00:00:00  0.207862  0.185953  0.172601  0.151826  0.139614   \n",
       "2017-10-10 01:00:00  0.236748  0.223334  0.210796  0.164825  0.119544   \n",
       "2017-10-10 02:00:00  0.297772  0.277947  0.263022  0.241602  0.189991   \n",
       "2017-10-10 03:00:00  0.513826  0.468559  0.421298  0.363327  0.343719   \n",
       "2017-10-10 04:00:00  0.464530  0.445615  0.402267  0.382667  0.354929   \n",
       "2017-10-10 05:00:00  0.108273  0.145877  0.160358  0.196951  0.220431   \n",
       "2017-10-10 06:00:00  0.082274  0.074736  0.069439  0.068767  0.071392   \n",
       "2017-10-10 07:00:00  0.108560  0.099007  0.090911  0.084932  0.081607   \n",
       "2017-10-10 08:00:00  0.035383  0.031909  0.028477  0.023447  0.022370   \n",
       "2017-10-10 09:00:00  0.002227  0.002030  0.001879  0.001969  0.000989   \n",
       "2017-10-10 10:00:00  0.000867  0.000663  0.000614  0.000388  0.000000   \n",
       "2017-10-10 11:00:00  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2017-10-10 12:00:00  0.000224  0.000204  0.000189  0.000000  0.000000   \n",
       "2017-10-10 13:00:00  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2017-10-10 14:00:00  0.000253  0.000268  0.000331  0.000315  0.000302   \n",
       "2017-10-10 15:00:00  0.002147  0.001957  0.001831  0.001790  0.001913   \n",
       "2017-10-10 16:00:00  0.008611  0.007641  0.007071  0.006720  0.006376   \n",
       "2017-10-10 17:00:00  0.009243  0.008426  0.007222  0.006624  0.006356   \n",
       "2017-10-10 18:00:00  0.008573  0.011621  0.015100  0.018143  0.018726   \n",
       "2017-10-10 19:00:00  0.064452  0.063309  0.074417  0.094610  0.088994   \n",
       "2017-10-10 20:00:00  0.077863  0.074709  0.081429  0.144486  0.145311   \n",
       "2017-10-10 21:00:00  0.065761  0.076318  0.073985  0.118333  0.168237   \n",
       "2017-10-10 22:00:00  0.118940  0.216425  0.225932  0.237720  0.256828   \n",
       "2017-10-10 23:00:00  0.052799  0.127481  0.270325  0.280276  0.269109   \n",
       "2017-10-11 00:00:00  0.018217  0.056019  0.154909  0.222152  0.226938   \n",
       "\n",
       "                       23mean    24mean    25mean    26mean    27mean  ...    \\\n",
       "TIMESTEP                                                               ...     \n",
       "2017-09-01 00:00:00  0.057566  0.101082  0.196566  0.226984  0.248400  ...     \n",
       "2017-09-01 01:00:00  0.133457  0.150972  0.195730  0.229328  0.247223  ...     \n",
       "2017-09-01 02:00:00  0.082410  0.102093  0.131874  0.222875  0.243937  ...     \n",
       "2017-09-01 03:00:00  0.089922  0.101567  0.143430  0.176375  0.201760  ...     \n",
       "2017-09-01 04:00:00  0.053722  0.103217  0.155719  0.183251  0.196870  ...     \n",
       "2017-09-01 05:00:00  0.001022  0.001786  0.025016  0.031399  0.040077  ...     \n",
       "2017-09-01 06:00:00  0.016675  0.024465  0.027549  0.028715  0.029575  ...     \n",
       "2017-09-01 07:00:00  0.038866  0.039310  0.042004  0.046689  0.048386  ...     \n",
       "2017-09-01 08:00:00  0.041347  0.037192  0.030390  0.042740  0.046134  ...     \n",
       "2017-09-01 09:00:00  0.160382  0.148517  0.082288  0.087436  0.088536  ...     \n",
       "2017-09-01 10:00:00  0.311985  0.237998  0.175198  0.167130  0.156434  ...     \n",
       "2017-09-01 11:00:00  0.290572  0.281099  0.262587  0.291330  0.274290  ...     \n",
       "2017-09-01 12:00:00  0.264247  0.255849  0.239753  0.240744  0.209103  ...     \n",
       "2017-09-01 13:00:00  0.175292  0.174310  0.155328  0.164171  0.108335  ...     \n",
       "2017-09-01 14:00:00  0.073714  0.072678  0.067914  0.102922  0.083427  ...     \n",
       "2017-09-01 15:00:00  0.049978  0.050436  0.047730  0.051525  0.047356  ...     \n",
       "2017-09-01 16:00:00  0.044647  0.044193  0.035064  0.032099  0.024286  ...     \n",
       "2017-09-01 17:00:00  0.130379  0.129124  0.105787  0.080319  0.016693  ...     \n",
       "2017-09-01 18:00:00  0.055188  0.054657  0.054975  0.054306  0.033748  ...     \n",
       "2017-09-01 19:00:00  0.070829  0.071583  0.072241  0.072754  0.073908  ...     \n",
       "2017-09-01 20:00:00  0.212897  0.212782  0.219176  0.227841  0.230851  ...     \n",
       "2017-09-01 21:00:00  0.421955  0.458784  0.495196  0.526466  0.548274  ...     \n",
       "2017-09-01 22:00:00  0.309256  0.372043  0.541092  0.583783  0.647542  ...     \n",
       "2017-09-01 23:00:00  0.299812  0.324088  0.551928  0.779239  0.888090  ...     \n",
       "2017-09-02 00:00:00  0.322143  0.361488  0.501356  0.681221  0.794104  ...     \n",
       "2017-09-02 01:00:00  0.386591  0.496494  0.697251  0.962815  1.081332  ...     \n",
       "2017-09-02 02:00:00  0.349894  0.479167  0.987399  1.421494  1.502441  ...     \n",
       "2017-09-02 03:00:00  0.381416  0.436303  0.620982  1.048044  1.096803  ...     \n",
       "2017-09-02 04:00:00  0.902901  0.949546  1.025412  1.307379  1.261584  ...     \n",
       "2017-09-02 05:00:00  1.098571  1.130756  1.226727  1.400736  1.396026  ...     \n",
       "...                       ...       ...       ...       ...       ...  ...     \n",
       "2017-10-09 19:00:00  0.001309  0.001219  0.000248  0.000460  0.001148  ...     \n",
       "2017-10-09 20:00:00  0.004246  0.004148  0.004188  0.002948  0.004641  ...     \n",
       "2017-10-09 21:00:00  0.019451  0.019996  0.022413  0.020122  0.023553  ...     \n",
       "2017-10-09 22:00:00  0.046661  0.048376  0.054559  0.054536  0.063987  ...     \n",
       "2017-10-09 23:00:00  0.085527  0.086608  0.105259  0.083033  0.086432  ...     \n",
       "2017-10-10 00:00:00  0.120615  0.115693  0.101003  0.067455  0.075638  ...     \n",
       "2017-10-10 01:00:00  0.106147  0.101989  0.085060  0.061513  0.060638  ...     \n",
       "2017-10-10 02:00:00  0.156844  0.153596  0.144259  0.079697  0.068153  ...     \n",
       "2017-10-10 03:00:00  0.319364  0.308508  0.259097  0.210186  0.180588  ...     \n",
       "2017-10-10 04:00:00  0.336044  0.323348  0.224960  0.190421  0.149061  ...     \n",
       "2017-10-10 05:00:00  0.218448  0.186605  0.100845  0.083270  0.052109  ...     \n",
       "2017-10-10 06:00:00  0.079269  0.073890  0.046354  0.019708  0.011008  ...     \n",
       "2017-10-10 07:00:00  0.079050  0.077341  0.028230  0.009420  0.004245  ...     \n",
       "2017-10-10 08:00:00  0.021702  0.020606  0.001964  0.000092  0.000105  ...     \n",
       "2017-10-10 09:00:00  0.000962  0.001017  0.000167  0.000126  0.000168  ...     \n",
       "2017-10-10 10:00:00  0.000000  0.000000  0.000000  0.000000  0.000000  ...     \n",
       "2017-10-10 11:00:00  0.000000  0.000000  0.000063  0.000063  0.000063  ...     \n",
       "2017-10-10 12:00:00  0.000000  0.000000  0.000000  0.000000  0.000000  ...     \n",
       "2017-10-10 13:00:00  0.000000  0.000000  0.000000  0.000000  0.000000  ...     \n",
       "2017-10-10 14:00:00  0.000294  0.000291  0.000293  0.000231  0.000231  ...     \n",
       "2017-10-10 15:00:00  0.001440  0.001249  0.001010  0.000147  0.000184  ...     \n",
       "2017-10-10 16:00:00  0.004631  0.004368  0.002153  0.000000  0.000000  ...     \n",
       "2017-10-10 17:00:00  0.006001  0.005653  0.002658  0.000685  0.001006  ...     \n",
       "2017-10-10 18:00:00  0.018189  0.017653  0.017514  0.017591  0.018203  ...     \n",
       "2017-10-10 19:00:00  0.083522  0.081986  0.080538  0.081346  0.086349  ...     \n",
       "2017-10-10 20:00:00  0.139206  0.137818  0.141765  0.145727  0.155796  ...     \n",
       "2017-10-10 21:00:00  0.163456  0.161914  0.170012  0.180078  0.181679  ...     \n",
       "2017-10-10 22:00:00  0.256114  0.253715  0.261625  0.269390  0.271699  ...     \n",
       "2017-10-10 23:00:00  0.267195  0.265986  0.270010  0.271360  0.273805  ...     \n",
       "2017-10-11 00:00:00  0.221053  0.223357  0.243347  0.250682  0.253133  ...     \n",
       "\n",
       "                     34count  35count  36count  37count  38count  39count  \\\n",
       "TIMESTEP                                                                    \n",
       "2017-09-01 00:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 01:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 02:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 03:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 04:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 05:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 06:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 07:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 08:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 09:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 10:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 11:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 12:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 13:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 14:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 15:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 16:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 17:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 18:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 19:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 20:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 21:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 22:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-01 23:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-02 00:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-02 01:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-02 02:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-02 03:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-02 04:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-09-02 05:00:00     5980     5941     5853     5787     5700     5645   \n",
       "...                      ...      ...      ...      ...      ...      ...   \n",
       "2017-10-09 19:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-09 20:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-09 21:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-09 22:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-09 23:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 00:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 01:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 02:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 03:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 04:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 05:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 06:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 07:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 08:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 09:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 10:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 11:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 12:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 13:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 14:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 15:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 16:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 17:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 18:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 19:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 20:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 21:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 22:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-10 23:00:00     5980     5941     5853     5787     5700     5645   \n",
       "2017-10-11 00:00:00     5980     5941     5853     5787     5700     5645   \n",
       "\n",
       "                     40count  41count  42count  COUNT  \n",
       "TIMESTEP                                               \n",
       "2017-09-01 00:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 01:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 02:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 03:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 04:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 05:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 06:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 07:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 08:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 09:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 10:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 11:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 12:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 13:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 14:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 15:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 16:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 17:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 18:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 19:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 20:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 21:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 22:00:00     5559     5521     5473  26116  \n",
       "2017-09-01 23:00:00     5559     5521     5473  26116  \n",
       "2017-09-02 00:00:00     5559     5521     5473  26116  \n",
       "2017-09-02 01:00:00     5559     5521     5473  26116  \n",
       "2017-09-02 02:00:00     5559     5521     5473  26116  \n",
       "2017-09-02 03:00:00     5559     5521     5473  26116  \n",
       "2017-09-02 04:00:00     5559     5521     5473  26116  \n",
       "2017-09-02 05:00:00     5559     5521     5473  26116  \n",
       "...                      ...      ...      ...    ...  \n",
       "2017-10-09 19:00:00     5559     5521     5473  26116  \n",
       "2017-10-09 20:00:00     5559     5521     5473  26116  \n",
       "2017-10-09 21:00:00     5559     5521     5473  26116  \n",
       "2017-10-09 22:00:00     5559     5521     5473  26116  \n",
       "2017-10-09 23:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 00:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 01:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 02:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 03:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 04:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 05:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 06:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 07:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 08:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 09:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 10:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 11:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 12:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 13:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 14:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 15:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 16:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 17:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 18:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 19:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 20:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 21:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 22:00:00     5559     5521     5473  26116  \n",
       "2017-10-10 23:00:00     5559     5521     5473  26116  \n",
       "2017-10-11 00:00:00     5559     5521     5473  26116  \n",
       "\n",
       "[961 rows x 182 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "irmaFlorida = pd.read_csv('Data/bufferPrecipitation.csv',index_col='TIMESTEP')\n",
    "irmaFlorida"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Just Organizing the data read from the CSV file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>var</th>\n",
       "      <th>std</th>\n",
       "      <th>sum</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIMESTEP</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-09-01 17:00:00</th>\n",
       "      <td>0.198924</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.130000</td>\n",
       "      <td>2.075018</td>\n",
       "      <td>1.440492</td>\n",
       "      <td>4508.4980</td>\n",
       "      <td>4616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 18:00:00</th>\n",
       "      <td>0.049942</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.630000</td>\n",
       "      <td>0.159842</td>\n",
       "      <td>0.399802</td>\n",
       "      <td>4945.1406</td>\n",
       "      <td>5057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 19:00:00</th>\n",
       "      <td>0.071678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.130000</td>\n",
       "      <td>0.271038</td>\n",
       "      <td>0.520614</td>\n",
       "      <td>5343.1610</td>\n",
       "      <td>5470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 20:00:00</th>\n",
       "      <td>0.190619</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.250000</td>\n",
       "      <td>1.708639</td>\n",
       "      <td>1.307149</td>\n",
       "      <td>5621.6130</td>\n",
       "      <td>5757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 21:00:00</th>\n",
       "      <td>0.324206</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>3.046267</td>\n",
       "      <td>1.745356</td>\n",
       "      <td>5855.5635</td>\n",
       "      <td>6003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 22:00:00</th>\n",
       "      <td>0.309256</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.880000</td>\n",
       "      <td>1.821434</td>\n",
       "      <td>1.349605</td>\n",
       "      <td>6026.8223</td>\n",
       "      <td>6180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01 23:00:00</th>\n",
       "      <td>0.324088</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.750000</td>\n",
       "      <td>2.592127</td>\n",
       "      <td>1.610008</td>\n",
       "      <td>6085.3820</td>\n",
       "      <td>6251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 00:00:00</th>\n",
       "      <td>0.501356</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.130000</td>\n",
       "      <td>4.089371</td>\n",
       "      <td>2.022219</td>\n",
       "      <td>6050.1510</td>\n",
       "      <td>6212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 01:00:00</th>\n",
       "      <td>0.962815</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.500000</td>\n",
       "      <td>9.195327</td>\n",
       "      <td>3.032380</td>\n",
       "      <td>6023.6330</td>\n",
       "      <td>6205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 02:00:00</th>\n",
       "      <td>1.502441</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.250000</td>\n",
       "      <td>13.752923</td>\n",
       "      <td>3.708493</td>\n",
       "      <td>6010.4565</td>\n",
       "      <td>6188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 03:00:00</th>\n",
       "      <td>1.319746</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>10.162047</td>\n",
       "      <td>3.187797</td>\n",
       "      <td>5971.2450</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 04:00:00</th>\n",
       "      <td>1.755671</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.129997</td>\n",
       "      <td>15.508356</td>\n",
       "      <td>3.938065</td>\n",
       "      <td>5958.2812</td>\n",
       "      <td>6135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 05:00:00</th>\n",
       "      <td>1.811686</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.129997</td>\n",
       "      <td>11.491514</td>\n",
       "      <td>3.389914</td>\n",
       "      <td>5906.9526</td>\n",
       "      <td>6080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 06:00:00</th>\n",
       "      <td>1.427170</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.250000</td>\n",
       "      <td>8.005020</td>\n",
       "      <td>2.829315</td>\n",
       "      <td>5881.6020</td>\n",
       "      <td>6058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 07:00:00</th>\n",
       "      <td>0.642381</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.469843</td>\n",
       "      <td>1.212371</td>\n",
       "      <td>5856.4556</td>\n",
       "      <td>6032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 08:00:00</th>\n",
       "      <td>0.154220</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.130000</td>\n",
       "      <td>0.159168</td>\n",
       "      <td>0.398958</td>\n",
       "      <td>5831.5127</td>\n",
       "      <td>6002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 09:00:00</th>\n",
       "      <td>0.028574</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>0.030829</td>\n",
       "      <td>0.175581</td>\n",
       "      <td>5806.7720</td>\n",
       "      <td>5980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 10:00:00</th>\n",
       "      <td>0.006836</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.130000</td>\n",
       "      <td>0.004460</td>\n",
       "      <td>0.066784</td>\n",
       "      <td>5770.0350</td>\n",
       "      <td>5941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 11:00:00</th>\n",
       "      <td>0.010476</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.880000</td>\n",
       "      <td>0.004979</td>\n",
       "      <td>0.070563</td>\n",
       "      <td>5686.0312</td>\n",
       "      <td>5853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 12:00:00</th>\n",
       "      <td>0.119206</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.250000</td>\n",
       "      <td>1.269300</td>\n",
       "      <td>1.126632</td>\n",
       "      <td>5615.8930</td>\n",
       "      <td>5787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 13:00:00</th>\n",
       "      <td>0.186247</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.880000</td>\n",
       "      <td>0.551747</td>\n",
       "      <td>0.742796</td>\n",
       "      <td>5524.9690</td>\n",
       "      <td>5700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 14:00:00</th>\n",
       "      <td>0.186892</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.630000</td>\n",
       "      <td>1.715649</td>\n",
       "      <td>1.309828</td>\n",
       "      <td>5469.6050</td>\n",
       "      <td>5645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 15:00:00</th>\n",
       "      <td>0.035122</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.630000</td>\n",
       "      <td>0.097961</td>\n",
       "      <td>0.312987</td>\n",
       "      <td>5393.9297</td>\n",
       "      <td>5559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 16:00:00</th>\n",
       "      <td>0.002175</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.130000</td>\n",
       "      <td>0.003785</td>\n",
       "      <td>0.061523</td>\n",
       "      <td>5351.6270</td>\n",
       "      <td>5521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-02 17:00:00</th>\n",
       "      <td>0.006431</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.130000</td>\n",
       "      <td>0.037015</td>\n",
       "      <td>0.192394</td>\n",
       "      <td>5299.6826</td>\n",
       "      <td>5473</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         mean  min        max        var       std        sum  \\\n",
       "TIMESTEP                                                                        \n",
       "2017-09-01 17:00:00  0.198924  0.0  36.130000   2.075018  1.440492  4508.4980   \n",
       "2017-09-01 18:00:00  0.049942  0.0  11.630000   0.159842  0.399802  4945.1406   \n",
       "2017-09-01 19:00:00  0.071678  0.0  11.130000   0.271038  0.520614  5343.1610   \n",
       "2017-09-01 20:00:00  0.190619  0.0  30.250000   1.708639  1.307149  5621.6130   \n",
       "2017-09-01 21:00:00  0.324206  0.0  28.000000   3.046267  1.745356  5855.5635   \n",
       "2017-09-01 22:00:00  0.309256  0.0  20.880000   1.821434  1.349605  6026.8223   \n",
       "2017-09-01 23:00:00  0.324088  0.0  32.750000   2.592127  1.610008  6085.3820   \n",
       "2017-09-02 00:00:00  0.501356  0.0  37.130000   4.089371  2.022219  6050.1510   \n",
       "2017-09-02 01:00:00  0.962815  0.0  32.500000   9.195327  3.032380  6023.6330   \n",
       "2017-09-02 02:00:00  1.502441  0.0  36.250000  13.752923  3.708493  6010.4565   \n",
       "2017-09-02 03:00:00  1.319746  0.0  30.500000  10.162047  3.187797  5971.2450   \n",
       "2017-09-02 04:00:00  1.755671  0.0  45.129997  15.508356  3.938065  5958.2812   \n",
       "2017-09-02 05:00:00  1.811686  0.0  40.129997  11.491514  3.389914  5906.9526   \n",
       "2017-09-02 06:00:00  1.427170  0.0  34.250000   8.005020  2.829315  5881.6020   \n",
       "2017-09-02 07:00:00  0.642381  0.0  12.000000   1.469843  1.212371  5856.4556   \n",
       "2017-09-02 08:00:00  0.154220  0.0   3.130000   0.159168  0.398958  5831.5127   \n",
       "2017-09-02 09:00:00  0.028574  0.0   4.500000   0.030829  0.175581  5806.7720   \n",
       "2017-09-02 10:00:00  0.006836  0.0   1.130000   0.004460  0.066784  5770.0350   \n",
       "2017-09-02 11:00:00  0.010476  0.0   0.880000   0.004979  0.070563  5686.0312   \n",
       "2017-09-02 12:00:00  0.119206  0.0  37.250000   1.269300  1.126632  5615.8930   \n",
       "2017-09-02 13:00:00  0.186247  0.0  14.880000   0.551747  0.742796  5524.9690   \n",
       "2017-09-02 14:00:00  0.186892  0.0  30.630000   1.715649  1.309828  5469.6050   \n",
       "2017-09-02 15:00:00  0.035122  0.0   8.630000   0.097961  0.312987  5393.9297   \n",
       "2017-09-02 16:00:00  0.002175  0.0   3.130000   0.003785  0.061523  5351.6270   \n",
       "2017-09-02 17:00:00  0.006431  0.0  12.130000   0.037015  0.192394  5299.6826   \n",
       "\n",
       "                     count  \n",
       "TIMESTEP                    \n",
       "2017-09-01 17:00:00   4616  \n",
       "2017-09-01 18:00:00   5057  \n",
       "2017-09-01 19:00:00   5470  \n",
       "2017-09-01 20:00:00   5757  \n",
       "2017-09-01 21:00:00   6003  \n",
       "2017-09-01 22:00:00   6180  \n",
       "2017-09-01 23:00:00   6251  \n",
       "2017-09-02 00:00:00   6212  \n",
       "2017-09-02 01:00:00   6205  \n",
       "2017-09-02 02:00:00   6188  \n",
       "2017-09-02 03:00:00   6144  \n",
       "2017-09-02 04:00:00   6135  \n",
       "2017-09-02 05:00:00   6080  \n",
       "2017-09-02 06:00:00   6058  \n",
       "2017-09-02 07:00:00   6032  \n",
       "2017-09-02 08:00:00   6002  \n",
       "2017-09-02 09:00:00   5980  \n",
       "2017-09-02 10:00:00   5941  \n",
       "2017-09-02 11:00:00   5853  \n",
       "2017-09-02 12:00:00   5787  \n",
       "2017-09-02 13:00:00   5700  \n",
       "2017-09-02 14:00:00   5645  \n",
       "2017-09-02 15:00:00   5559  \n",
       "2017-09-02 16:00:00   5521  \n",
       "2017-09-02 17:00:00   5473  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myPD = irmaFlorida.ix[irmaFlorida.index.astype('str')[17:18]][['18mean','18min','18max','18var','18std','18sum','18count']]\n",
    "myPD.columns = ['mean','min','max','var','std','sum','count']\n",
    "for k in range(18,42,1):\n",
    "    columns = [str(k+1)+'mean',\n",
    "               str(k+1)+'min',\n",
    "               str(k+1)+'max',\n",
    "               str(k+1)+'var',\n",
    "               str(k+1)+'std',\n",
    "               str(k+1)+'sum',\n",
    "               str(k+1)+'count']\n",
    "    myPD1 = test.ix[irmaFlorida.index.astype('str')[k:k+1]][columns]\n",
    "    myPD1.columns = ['mean','min','max','var','std','sum','count']\n",
    "    myPD = myPD.append(myPD1)\n",
    "myPD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mysql.connector\n",
    "from sqlalchemy import create_engine\n",
    "engine = create_engine('mysql+mysqlconnector://admin:geotwitter@geotwitter.uncg.edu:3306/geotwitter', echo=False)\n",
    "myPD.to_sql(name='precipitation', con=engine, if_exists = 'append')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for idx in myPD.index:\n",
    "    val = myPD.ix[idx]\n",
    "    updateQuery = \"UPDATE irma SET {0} = '{1}', {2} = '{3}', {4} = '{5}', {6} = '{7}', {8} = '{9}', {10} = '{11}', {12} = '{13}' WHERE DateTime = '{14}';\".format('p_mean', val[0], 'p_min', val[1],'p_max', val[2],'p_var', val[3],'p_std', val[4],'p_sum', val[5],'p_count', val[6],idx)"
   ]
  }
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