01.Introduction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pandas.read_csv(\"AirQualityUCI.csv\", sep = \";\", decimal = \",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.iloc[ : , 0:14]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>CO(GT)</th>\n",
       "      <th>PT08.S1(CO)</th>\n",
       "      <th>NMHC(GT)</th>\n",
       "      <th>C6H6(GT)</th>\n",
       "      <th>PT08.S2(NMHC)</th>\n",
       "      <th>NOx(GT)</th>\n",
       "      <th>PT08.S3(NOx)</th>\n",
       "      <th>NO2(GT)</th>\n",
       "      <th>PT08.S4(NO2)</th>\n",
       "      <th>PT08.S5(O3)</th>\n",
       "      <th>T</th>\n",
       "      <th>RH</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>18.00.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>1046.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>1056.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>1692.0</td>\n",
       "      <td>1268.0</td>\n",
       "      <td>13.6</td>\n",
       "      <td>48.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>19.00.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1292.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>955.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1174.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1559.0</td>\n",
       "      <td>972.0</td>\n",
       "      <td>13.3</td>\n",
       "      <td>47.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>20.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1402.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>939.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1140.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>1555.0</td>\n",
       "      <td>1074.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>21.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1376.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>948.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>1092.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1584.0</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>22.00.00</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1272.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>836.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>1110.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>59.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>23.00.00</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1197.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>750.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>1337.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>1393.0</td>\n",
       "      <td>949.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>59.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>00.00.00</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1185.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>690.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1462.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>733.0</td>\n",
       "      <td>11.3</td>\n",
       "      <td>56.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>01.00.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1136.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>672.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1453.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>10.7</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>02.00.00</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1094.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>609.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1579.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1276.0</td>\n",
       "      <td>620.0</td>\n",
       "      <td>10.7</td>\n",
       "      <td>59.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>03.00.00</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1010.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>561.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1705.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1235.0</td>\n",
       "      <td>501.0</td>\n",
       "      <td>10.3</td>\n",
       "      <td>60.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>04.00.00</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1011.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>527.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1818.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1197.0</td>\n",
       "      <td>445.0</td>\n",
       "      <td>10.1</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>05.00.00</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1066.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>512.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1918.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1182.0</td>\n",
       "      <td>422.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>56.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>06.00.00</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1052.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>553.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1738.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1221.0</td>\n",
       "      <td>472.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>58.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>07.00.00</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1144.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>667.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>1339.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>10.2</td>\n",
       "      <td>59.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>08.00.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>900.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>1136.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1517.0</td>\n",
       "      <td>1102.0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>57.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>09.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1351.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>9.5</td>\n",
       "      <td>960.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>1079.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>1583.0</td>\n",
       "      <td>1028.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>60.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>10.00.00</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1233.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>827.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1218.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1446.0</td>\n",
       "      <td>860.0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>58.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>11.00.00</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1179.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>762.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>1328.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1362.0</td>\n",
       "      <td>671.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>57.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>12.00.00</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1236.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>774.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>1401.0</td>\n",
       "      <td>664.0</td>\n",
       "      <td>9.5</td>\n",
       "      <td>66.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>13.00.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1286.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>869.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>1162.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1537.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>76.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>14.00.00</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1371.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1034.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>983.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>1730.0</td>\n",
       "      <td>1037.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>81.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>15.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1310.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>933.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>1082.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>1647.0</td>\n",
       "      <td>946.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>79.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>16.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1292.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>912.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>1103.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1591.0</td>\n",
       "      <td>957.0</td>\n",
       "      <td>9.7</td>\n",
       "      <td>71.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>17.00.00</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1383.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>1008.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>1719.0</td>\n",
       "      <td>1104.0</td>\n",
       "      <td>9.8</td>\n",
       "      <td>67.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>18.00.00</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1581.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>20.8</td>\n",
       "      <td>1319.0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>2083.0</td>\n",
       "      <td>1409.0</td>\n",
       "      <td>10.3</td>\n",
       "      <td>64.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>19.00.00</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1776.0</td>\n",
       "      <td>461.0</td>\n",
       "      <td>27.4</td>\n",
       "      <td>1488.0</td>\n",
       "      <td>383.0</td>\n",
       "      <td>702.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>2333.0</td>\n",
       "      <td>1704.0</td>\n",
       "      <td>9.7</td>\n",
       "      <td>69.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>20.00.00</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1640.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1404.0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>2191.0</td>\n",
       "      <td>1654.0</td>\n",
       "      <td>9.6</td>\n",
       "      <td>67.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>21.00.00</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1313.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>12.8</td>\n",
       "      <td>1076.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>957.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>1707.0</td>\n",
       "      <td>1285.0</td>\n",
       "      <td>9.1</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>22.00.00</td>\n",
       "      <td>1.5</td>\n",
       "      <td>965.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>749.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>1325.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>821.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>63.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>23.00.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>913.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>629.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>1565.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1252.0</td>\n",
       "      <td>552.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>60.8</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9441</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9442</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9443</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9444</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9445</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9446</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9447</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9448</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9449</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9450</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9451</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9452</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9453</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9454</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9455</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9456</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9458</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9459</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9460</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9461</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9462</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9463</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9464</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9465</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9466</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9467</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9468</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9469</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9470</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9471 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date      Time  CO(GT)  PT08.S1(CO)  NMHC(GT)  C6H6(GT)  \\\n",
       "0     10/03/2004  18.00.00     2.6       1360.0     150.0      11.9   \n",
       "1     10/03/2004  19.00.00     2.0       1292.0     112.0       9.4   \n",
       "2     10/03/2004  20.00.00     2.2       1402.0      88.0       9.0   \n",
       "3     10/03/2004  21.00.00     2.2       1376.0      80.0       9.2   \n",
       "4     10/03/2004  22.00.00     1.6       1272.0      51.0       6.5   \n",
       "5     10/03/2004  23.00.00     1.2       1197.0      38.0       4.7   \n",
       "6     11/03/2004  00.00.00     1.2       1185.0      31.0       3.6   \n",
       "7     11/03/2004  01.00.00     1.0       1136.0      31.0       3.3   \n",
       "8     11/03/2004  02.00.00     0.9       1094.0      24.0       2.3   \n",
       "9     11/03/2004  03.00.00     0.6       1010.0      19.0       1.7   \n",
       "10    11/03/2004  04.00.00  -200.0       1011.0      14.0       1.3   \n",
       "11    11/03/2004  05.00.00     0.7       1066.0       8.0       1.1   \n",
       "12    11/03/2004  06.00.00     0.7       1052.0      16.0       1.6   \n",
       "13    11/03/2004  07.00.00     1.1       1144.0      29.0       3.2   \n",
       "14    11/03/2004  08.00.00     2.0       1333.0      64.0       8.0   \n",
       "15    11/03/2004  09.00.00     2.2       1351.0      87.0       9.5   \n",
       "16    11/03/2004  10.00.00     1.7       1233.0      77.0       6.3   \n",
       "17    11/03/2004  11.00.00     1.5       1179.0      43.0       5.0   \n",
       "18    11/03/2004  12.00.00     1.6       1236.0      61.0       5.2   \n",
       "19    11/03/2004  13.00.00     1.9       1286.0      63.0       7.3   \n",
       "20    11/03/2004  14.00.00     2.9       1371.0     164.0      11.5   \n",
       "21    11/03/2004  15.00.00     2.2       1310.0      79.0       8.8   \n",
       "22    11/03/2004  16.00.00     2.2       1292.0      95.0       8.3   \n",
       "23    11/03/2004  17.00.00     2.9       1383.0     150.0      11.2   \n",
       "24    11/03/2004  18.00.00     4.8       1581.0     307.0      20.8   \n",
       "25    11/03/2004  19.00.00     6.9       1776.0     461.0      27.4   \n",
       "26    11/03/2004  20.00.00     6.1       1640.0     401.0      24.0   \n",
       "27    11/03/2004  21.00.00     3.9       1313.0     197.0      12.8   \n",
       "28    11/03/2004  22.00.00     1.5        965.0      61.0       4.7   \n",
       "29    11/03/2004  23.00.00     1.0        913.0      26.0       2.6   \n",
       "...          ...       ...     ...          ...       ...       ...   \n",
       "9441         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9442         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9443         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9444         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9445         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9446         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9447         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9448         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9449         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9450         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9451         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9452         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9453         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9454         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9455         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9456         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9457         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9458         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9459         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9460         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9461         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9462         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9463         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9464         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9465         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9466         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9467         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9468         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9469         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "9470         NaN       NaN     NaN          NaN       NaN       NaN   \n",
       "\n",
       "      PT08.S2(NMHC)  NOx(GT)  PT08.S3(NOx)  NO2(GT)  PT08.S4(NO2)  \\\n",
       "0            1046.0    166.0        1056.0    113.0        1692.0   \n",
       "1             955.0    103.0        1174.0     92.0        1559.0   \n",
       "2             939.0    131.0        1140.0    114.0        1555.0   \n",
       "3             948.0    172.0        1092.0    122.0        1584.0   \n",
       "4             836.0    131.0        1205.0    116.0        1490.0   \n",
       "5             750.0     89.0        1337.0     96.0        1393.0   \n",
       "6             690.0     62.0        1462.0     77.0        1333.0   \n",
       "7             672.0     62.0        1453.0     76.0        1333.0   \n",
       "8             609.0     45.0        1579.0     60.0        1276.0   \n",
       "9             561.0   -200.0        1705.0   -200.0        1235.0   \n",
       "10            527.0     21.0        1818.0     34.0        1197.0   \n",
       "11            512.0     16.0        1918.0     28.0        1182.0   \n",
       "12            553.0     34.0        1738.0     48.0        1221.0   \n",
       "13            667.0     98.0        1490.0     82.0        1339.0   \n",
       "14            900.0    174.0        1136.0    112.0        1517.0   \n",
       "15            960.0    129.0        1079.0    101.0        1583.0   \n",
       "16            827.0    112.0        1218.0     98.0        1446.0   \n",
       "17            762.0     95.0        1328.0     92.0        1362.0   \n",
       "18            774.0    104.0        1301.0     95.0        1401.0   \n",
       "19            869.0    146.0        1162.0    112.0        1537.0   \n",
       "20           1034.0    207.0         983.0    128.0        1730.0   \n",
       "21            933.0    184.0        1082.0    126.0        1647.0   \n",
       "22            912.0    193.0        1103.0    131.0        1591.0   \n",
       "23           1020.0    243.0        1008.0    135.0        1719.0   \n",
       "24           1319.0    281.0         799.0    151.0        2083.0   \n",
       "25           1488.0    383.0         702.0    172.0        2333.0   \n",
       "26           1404.0    351.0         743.0    165.0        2191.0   \n",
       "27           1076.0    240.0         957.0    136.0        1707.0   \n",
       "28            749.0     94.0        1325.0     85.0        1333.0   \n",
       "29            629.0     47.0        1565.0     53.0        1252.0   \n",
       "...             ...      ...           ...      ...           ...   \n",
       "9441            NaN      NaN           NaN      NaN           NaN   \n",
       "9442            NaN      NaN           NaN      NaN           NaN   \n",
       "9443            NaN      NaN           NaN      NaN           NaN   \n",
       "9444            NaN      NaN           NaN      NaN           NaN   \n",
       "9445            NaN      NaN           NaN      NaN           NaN   \n",
       "9446            NaN      NaN           NaN      NaN           NaN   \n",
       "9447            NaN      NaN           NaN      NaN           NaN   \n",
       "9448            NaN      NaN           NaN      NaN           NaN   \n",
       "9449            NaN      NaN           NaN      NaN           NaN   \n",
       "9450            NaN      NaN           NaN      NaN           NaN   \n",
       "9451            NaN      NaN           NaN      NaN           NaN   \n",
       "9452            NaN      NaN           NaN      NaN           NaN   \n",
       "9453            NaN      NaN           NaN      NaN           NaN   \n",
       "9454            NaN      NaN           NaN      NaN           NaN   \n",
       "9455            NaN      NaN           NaN      NaN           NaN   \n",
       "9456            NaN      NaN           NaN      NaN           NaN   \n",
       "9457            NaN      NaN           NaN      NaN           NaN   \n",
       "9458            NaN      NaN           NaN      NaN           NaN   \n",
       "9459            NaN      NaN           NaN      NaN           NaN   \n",
       "9460            NaN      NaN           NaN      NaN           NaN   \n",
       "9461            NaN      NaN           NaN      NaN           NaN   \n",
       "9462            NaN      NaN           NaN      NaN           NaN   \n",
       "9463            NaN      NaN           NaN      NaN           NaN   \n",
       "9464            NaN      NaN           NaN      NaN           NaN   \n",
       "9465            NaN      NaN           NaN      NaN           NaN   \n",
       "9466            NaN      NaN           NaN      NaN           NaN   \n",
       "9467            NaN      NaN           NaN      NaN           NaN   \n",
       "9468            NaN      NaN           NaN      NaN           NaN   \n",
       "9469            NaN      NaN           NaN      NaN           NaN   \n",
       "9470            NaN      NaN           NaN      NaN           NaN   \n",
       "\n",
       "      PT08.S5(O3)     T    RH  \n",
       "0          1268.0  13.6  48.9  \n",
       "1           972.0  13.3  47.7  \n",
       "2          1074.0  11.9  54.0  \n",
       "3          1203.0  11.0  60.0  \n",
       "4          1110.0  11.2  59.6  \n",
       "5           949.0  11.2  59.2  \n",
       "6           733.0  11.3  56.8  \n",
       "7           730.0  10.7  60.0  \n",
       "8           620.0  10.7  59.7  \n",
       "9           501.0  10.3  60.2  \n",
       "10          445.0  10.1  60.5  \n",
       "11          422.0  11.0  56.2  \n",
       "12          472.0  10.5  58.1  \n",
       "13          730.0  10.2  59.6  \n",
       "14         1102.0  10.8  57.4  \n",
       "15         1028.0  10.5  60.6  \n",
       "16          860.0  10.8  58.4  \n",
       "17          671.0  10.5  57.9  \n",
       "18          664.0   9.5  66.8  \n",
       "19          799.0   8.3  76.4  \n",
       "20         1037.0   8.0  81.1  \n",
       "21          946.0   8.3  79.8  \n",
       "22          957.0   9.7  71.2  \n",
       "23         1104.0   9.8  67.6  \n",
       "24         1409.0  10.3  64.2  \n",
       "25         1704.0   9.7  69.3  \n",
       "26         1654.0   9.6  67.8  \n",
       "27         1285.0   9.1  64.0  \n",
       "28          821.0   8.2  63.4  \n",
       "29          552.0   8.2  60.8  \n",
       "...           ...   ...   ...  \n",
       "9441          NaN   NaN   NaN  \n",
       "9442          NaN   NaN   NaN  \n",
       "9443          NaN   NaN   NaN  \n",
       "9444          NaN   NaN   NaN  \n",
       "9445          NaN   NaN   NaN  \n",
       "9446          NaN   NaN   NaN  \n",
       "9447          NaN   NaN   NaN  \n",
       "9448          NaN   NaN   NaN  \n",
       "9449          NaN   NaN   NaN  \n",
       "9450          NaN   NaN   NaN  \n",
       "9451          NaN   NaN   NaN  \n",
       "9452          NaN   NaN   NaN  \n",
       "9453          NaN   NaN   NaN  \n",
       "9454          NaN   NaN   NaN  \n",
       "9455          NaN   NaN   NaN  \n",
       "9456          NaN   NaN   NaN  \n",
       "9457          NaN   NaN   NaN  \n",
       "9458          NaN   NaN   NaN  \n",
       "9459          NaN   NaN   NaN  \n",
       "9460          NaN   NaN   NaN  \n",
       "9461          NaN   NaN   NaN  \n",
       "9462          NaN   NaN   NaN  \n",
       "9463          NaN   NaN   NaN  \n",
       "9464          NaN   NaN   NaN  \n",
       "9465          NaN   NaN   NaN  \n",
       "9466          NaN   NaN   NaN  \n",
       "9467          NaN   NaN   NaN  \n",
       "9468          NaN   NaN   NaN  \n",
       "9469          NaN   NaN   NaN  \n",
       "9470          NaN   NaN   NaN  \n",
       "\n",
       "[9471 rows x 14 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9471"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        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>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>CO(GT)</th>\n",
       "      <th>PT08.S1(CO)</th>\n",
       "      <th>NMHC(GT)</th>\n",
       "      <th>C6H6(GT)</th>\n",
       "      <th>PT08.S2(NMHC)</th>\n",
       "      <th>NOx(GT)</th>\n",
       "      <th>PT08.S3(NOx)</th>\n",
       "      <th>NO2(GT)</th>\n",
       "      <th>PT08.S4(NO2)</th>\n",
       "      <th>PT08.S5(O3)</th>\n",
       "      <th>T</th>\n",
       "      <th>RH</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>18.00.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>1046.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>1056.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>1692.0</td>\n",
       "      <td>1268.0</td>\n",
       "      <td>13.6</td>\n",
       "      <td>48.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>19.00.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1292.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>955.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1174.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1559.0</td>\n",
       "      <td>972.0</td>\n",
       "      <td>13.3</td>\n",
       "      <td>47.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>20.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1402.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>939.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1140.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>1555.0</td>\n",
       "      <td>1074.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>21.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1376.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>948.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>1092.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1584.0</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>22.00.00</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1272.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>836.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>1110.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>59.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date      Time  CO(GT)  PT08.S1(CO)  NMHC(GT)  C6H6(GT)  \\\n",
       "0  10/03/2004  18.00.00     2.6       1360.0     150.0      11.9   \n",
       "1  10/03/2004  19.00.00     2.0       1292.0     112.0       9.4   \n",
       "2  10/03/2004  20.00.00     2.2       1402.0      88.0       9.0   \n",
       "3  10/03/2004  21.00.00     2.2       1376.0      80.0       9.2   \n",
       "4  10/03/2004  22.00.00     1.6       1272.0      51.0       6.5   \n",
       "\n",
       "   PT08.S2(NMHC)  NOx(GT)  PT08.S3(NOx)  NO2(GT)  PT08.S4(NO2)  PT08.S5(O3)  \\\n",
       "0         1046.0    166.0        1056.0    113.0        1692.0       1268.0   \n",
       "1          955.0    103.0        1174.0     92.0        1559.0        972.0   \n",
       "2          939.0    131.0        1140.0    114.0        1555.0       1074.0   \n",
       "3          948.0    172.0        1092.0    122.0        1584.0       1203.0   \n",
       "4          836.0    131.0        1205.0    116.0        1490.0       1110.0   \n",
       "\n",
       "      T    RH  \n",
       "0  13.6  48.9  \n",
       "1  13.3  47.7  \n",
       "2  11.9  54.0  \n",
       "3  11.0  60.0  \n",
       "4  11.2  59.6  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Dropping NaN(Not-a-Number)\n",
    "df = df[df['Date'].notnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>CO(GT)</th>\n",
       "      <th>PT08.S1(CO)</th>\n",
       "      <th>NMHC(GT)</th>\n",
       "      <th>C6H6(GT)</th>\n",
       "      <th>PT08.S2(NMHC)</th>\n",
       "      <th>NOx(GT)</th>\n",
       "      <th>PT08.S3(NOx)</th>\n",
       "      <th>NO2(GT)</th>\n",
       "      <th>PT08.S4(NO2)</th>\n",
       "      <th>PT08.S5(O3)</th>\n",
       "      <th>T</th>\n",
       "      <th>RH</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>18.00.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>1046.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>1056.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>1692.0</td>\n",
       "      <td>1268.0</td>\n",
       "      <td>13.6</td>\n",
       "      <td>48.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>19.00.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1292.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>955.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1174.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1559.0</td>\n",
       "      <td>972.0</td>\n",
       "      <td>13.3</td>\n",
       "      <td>47.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>20.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1402.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>939.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1140.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>1555.0</td>\n",
       "      <td>1074.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>21.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1376.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>948.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>1092.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1584.0</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>22.00.00</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1272.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>836.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>1110.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>59.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10/03/2004</td>\n",
       "      <td>23.00.00</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1197.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>750.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>1337.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>1393.0</td>\n",
       "      <td>949.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>59.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>00.00.00</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1185.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>690.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1462.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>733.0</td>\n",
       "      <td>11.3</td>\n",
       "      <td>56.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>01.00.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1136.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>672.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1453.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>10.7</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>02.00.00</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1094.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>609.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1579.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1276.0</td>\n",
       "      <td>620.0</td>\n",
       "      <td>10.7</td>\n",
       "      <td>59.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>03.00.00</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1010.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>561.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1705.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1235.0</td>\n",
       "      <td>501.0</td>\n",
       "      <td>10.3</td>\n",
       "      <td>60.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>04.00.00</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1011.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>527.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1818.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1197.0</td>\n",
       "      <td>445.0</td>\n",
       "      <td>10.1</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>05.00.00</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1066.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>512.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1918.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1182.0</td>\n",
       "      <td>422.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>56.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>06.00.00</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1052.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>553.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1738.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1221.0</td>\n",
       "      <td>472.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>58.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>07.00.00</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1144.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>667.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>1339.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>10.2</td>\n",
       "      <td>59.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>08.00.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>900.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>1136.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1517.0</td>\n",
       "      <td>1102.0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>57.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>09.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1351.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>9.5</td>\n",
       "      <td>960.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>1079.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>1583.0</td>\n",
       "      <td>1028.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>60.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>10.00.00</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1233.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>827.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1218.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1446.0</td>\n",
       "      <td>860.0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>58.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>11.00.00</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1179.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>762.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>1328.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1362.0</td>\n",
       "      <td>671.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>57.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>12.00.00</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1236.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>774.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>1401.0</td>\n",
       "      <td>664.0</td>\n",
       "      <td>9.5</td>\n",
       "      <td>66.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>13.00.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1286.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>869.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>1162.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1537.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>76.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>14.00.00</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1371.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1034.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>983.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>1730.0</td>\n",
       "      <td>1037.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>81.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>15.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1310.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>933.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>1082.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>1647.0</td>\n",
       "      <td>946.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>79.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>16.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1292.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>912.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>1103.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1591.0</td>\n",
       "      <td>957.0</td>\n",
       "      <td>9.7</td>\n",
       "      <td>71.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>17.00.00</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1383.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>1008.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>1719.0</td>\n",
       "      <td>1104.0</td>\n",
       "      <td>9.8</td>\n",
       "      <td>67.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>18.00.00</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1581.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>20.8</td>\n",
       "      <td>1319.0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>2083.0</td>\n",
       "      <td>1409.0</td>\n",
       "      <td>10.3</td>\n",
       "      <td>64.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>19.00.00</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1776.0</td>\n",
       "      <td>461.0</td>\n",
       "      <td>27.4</td>\n",
       "      <td>1488.0</td>\n",
       "      <td>383.0</td>\n",
       "      <td>702.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>2333.0</td>\n",
       "      <td>1704.0</td>\n",
       "      <td>9.7</td>\n",
       "      <td>69.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>20.00.00</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1640.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1404.0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>743.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>2191.0</td>\n",
       "      <td>1654.0</td>\n",
       "      <td>9.6</td>\n",
       "      <td>67.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>21.00.00</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1313.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>12.8</td>\n",
       "      <td>1076.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>957.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>1707.0</td>\n",
       "      <td>1285.0</td>\n",
       "      <td>9.1</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>22.00.00</td>\n",
       "      <td>1.5</td>\n",
       "      <td>965.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>749.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>1325.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>821.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>63.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>11/03/2004</td>\n",
       "      <td>23.00.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>913.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>629.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>1565.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1252.0</td>\n",
       "      <td>552.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>60.8</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9327</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>09.00.00</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1022.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>715.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>806.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>1004.0</td>\n",
       "      <td>831.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>30.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9328</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>10.00.00</td>\n",
       "      <td>1.4</td>\n",
       "      <td>970.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>677.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>888.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>931.0</td>\n",
       "      <td>613.0</td>\n",
       "      <td>21.1</td>\n",
       "      <td>23.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9329</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>11.00.00</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>779.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>805.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>640.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>19.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9330</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>12.00.00</td>\n",
       "      <td>1.4</td>\n",
       "      <td>996.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>781.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>806.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>985.0</td>\n",
       "      <td>631.0</td>\n",
       "      <td>26.5</td>\n",
       "      <td>16.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9331</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>13.00.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>928.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>701.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>926.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>902.0</td>\n",
       "      <td>456.0</td>\n",
       "      <td>28.7</td>\n",
       "      <td>13.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9332</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>14.00.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>933.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>722.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>899.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>890.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>28.5</td>\n",
       "      <td>13.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9333</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>15.00.00</td>\n",
       "      <td>1.1</td>\n",
       "      <td>956.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>5.4</td>\n",
       "      <td>783.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>857.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>896.0</td>\n",
       "      <td>516.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>11.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9334</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>16.00.00</td>\n",
       "      <td>1.3</td>\n",
       "      <td>968.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>826.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>867.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>898.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>29.4</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9335</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>17.00.00</td>\n",
       "      <td>1.4</td>\n",
       "      <td>953.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>817.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>872.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>891.0</td>\n",
       "      <td>603.0</td>\n",
       "      <td>28.9</td>\n",
       "      <td>9.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9336</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>18.00.00</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1015.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>743.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>851.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>981.0</td>\n",
       "      <td>597.0</td>\n",
       "      <td>22.8</td>\n",
       "      <td>21.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9337</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>19.00.00</td>\n",
       "      <td>2.7</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>11.1</td>\n",
       "      <td>1018.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>1289.0</td>\n",
       "      <td>1167.0</td>\n",
       "      <td>19.9</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9338</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>20.00.00</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1180.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>894.0</td>\n",
       "      <td>355.0</td>\n",
       "      <td>636.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>1372.0</td>\n",
       "      <td>17.5</td>\n",
       "      <td>40.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9339</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>21.00.00</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1102.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>812.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>693.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>1178.0</td>\n",
       "      <td>1042.0</td>\n",
       "      <td>16.4</td>\n",
       "      <td>46.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9340</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>22.00.00</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1116.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>803.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>1173.0</td>\n",
       "      <td>1055.0</td>\n",
       "      <td>15.5</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9341</th>\n",
       "      <td>03/04/2005</td>\n",
       "      <td>23.00.00</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>769.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>722.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>1147.0</td>\n",
       "      <td>1049.0</td>\n",
       "      <td>14.3</td>\n",
       "      <td>52.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9342</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>00.00.00</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1012.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>683.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>801.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>1073.0</td>\n",
       "      <td>816.0</td>\n",
       "      <td>14.2</td>\n",
       "      <td>51.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9343</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>01.00.00</td>\n",
       "      <td>0.6</td>\n",
       "      <td>944.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>579.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>925.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>1002.0</td>\n",
       "      <td>598.0</td>\n",
       "      <td>13.8</td>\n",
       "      <td>51.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9344</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>02.00.00</td>\n",
       "      <td>0.5</td>\n",
       "      <td>912.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>544.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>959.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>1002.0</td>\n",
       "      <td>573.0</td>\n",
       "      <td>12.1</td>\n",
       "      <td>56.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9345</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>03.00.00</td>\n",
       "      <td>0.4</td>\n",
       "      <td>887.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>508.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1047.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>974.0</td>\n",
       "      <td>549.0</td>\n",
       "      <td>11.3</td>\n",
       "      <td>58.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9346</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>04.00.00</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>864.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>478.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1116.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>958.0</td>\n",
       "      <td>489.0</td>\n",
       "      <td>11.8</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9347</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>05.00.00</td>\n",
       "      <td>0.5</td>\n",
       "      <td>888.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>528.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>1077.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>987.0</td>\n",
       "      <td>578.0</td>\n",
       "      <td>10.4</td>\n",
       "      <td>59.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9348</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>06.00.00</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1031.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>730.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>1129.0</td>\n",
       "      <td>905.0</td>\n",
       "      <td>9.5</td>\n",
       "      <td>63.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9349</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>07.00.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1384.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>17.4</td>\n",
       "      <td>1221.0</td>\n",
       "      <td>594.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>1457.0</td>\n",
       "      <td>9.7</td>\n",
       "      <td>61.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9350</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>08.00.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1446.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>22.4</td>\n",
       "      <td>1362.0</td>\n",
       "      <td>586.0</td>\n",
       "      <td>415.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>1777.0</td>\n",
       "      <td>1705.0</td>\n",
       "      <td>13.5</td>\n",
       "      <td>48.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9351</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>09.00.00</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1297.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>13.6</td>\n",
       "      <td>1102.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>507.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>1375.0</td>\n",
       "      <td>1583.0</td>\n",
       "      <td>18.2</td>\n",
       "      <td>36.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9352</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>10.00.00</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1314.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>13.5</td>\n",
       "      <td>1101.0</td>\n",
       "      <td>472.0</td>\n",
       "      <td>539.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>1374.0</td>\n",
       "      <td>1729.0</td>\n",
       "      <td>21.9</td>\n",
       "      <td>29.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9353</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>11.00.00</td>\n",
       "      <td>2.4</td>\n",
       "      <td>1163.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>11.4</td>\n",
       "      <td>1027.0</td>\n",
       "      <td>353.0</td>\n",
       "      <td>604.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>1264.0</td>\n",
       "      <td>1269.0</td>\n",
       "      <td>24.3</td>\n",
       "      <td>23.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9354</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>12.00.00</td>\n",
       "      <td>2.4</td>\n",
       "      <td>1142.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>12.4</td>\n",
       "      <td>1063.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>603.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>1241.0</td>\n",
       "      <td>1092.0</td>\n",
       "      <td>26.9</td>\n",
       "      <td>18.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9355</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>13.00.00</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>9.5</td>\n",
       "      <td>961.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>702.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>1041.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>28.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9356</th>\n",
       "      <td>04/04/2005</td>\n",
       "      <td>14.00.00</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1071.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>1047.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>654.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>1129.0</td>\n",
       "      <td>816.0</td>\n",
       "      <td>28.5</td>\n",
       "      <td>13.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9357 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date      Time  CO(GT)  PT08.S1(CO)  NMHC(GT)  C6H6(GT)  \\\n",
       "0     10/03/2004  18.00.00     2.6       1360.0     150.0      11.9   \n",
       "1     10/03/2004  19.00.00     2.0       1292.0     112.0       9.4   \n",
       "2     10/03/2004  20.00.00     2.2       1402.0      88.0       9.0   \n",
       "3     10/03/2004  21.00.00     2.2       1376.0      80.0       9.2   \n",
       "4     10/03/2004  22.00.00     1.6       1272.0      51.0       6.5   \n",
       "5     10/03/2004  23.00.00     1.2       1197.0      38.0       4.7   \n",
       "6     11/03/2004  00.00.00     1.2       1185.0      31.0       3.6   \n",
       "7     11/03/2004  01.00.00     1.0       1136.0      31.0       3.3   \n",
       "8     11/03/2004  02.00.00     0.9       1094.0      24.0       2.3   \n",
       "9     11/03/2004  03.00.00     0.6       1010.0      19.0       1.7   \n",
       "10    11/03/2004  04.00.00  -200.0       1011.0      14.0       1.3   \n",
       "11    11/03/2004  05.00.00     0.7       1066.0       8.0       1.1   \n",
       "12    11/03/2004  06.00.00     0.7       1052.0      16.0       1.6   \n",
       "13    11/03/2004  07.00.00     1.1       1144.0      29.0       3.2   \n",
       "14    11/03/2004  08.00.00     2.0       1333.0      64.0       8.0   \n",
       "15    11/03/2004  09.00.00     2.2       1351.0      87.0       9.5   \n",
       "16    11/03/2004  10.00.00     1.7       1233.0      77.0       6.3   \n",
       "17    11/03/2004  11.00.00     1.5       1179.0      43.0       5.0   \n",
       "18    11/03/2004  12.00.00     1.6       1236.0      61.0       5.2   \n",
       "19    11/03/2004  13.00.00     1.9       1286.0      63.0       7.3   \n",
       "20    11/03/2004  14.00.00     2.9       1371.0     164.0      11.5   \n",
       "21    11/03/2004  15.00.00     2.2       1310.0      79.0       8.8   \n",
       "22    11/03/2004  16.00.00     2.2       1292.0      95.0       8.3   \n",
       "23    11/03/2004  17.00.00     2.9       1383.0     150.0      11.2   \n",
       "24    11/03/2004  18.00.00     4.8       1581.0     307.0      20.8   \n",
       "25    11/03/2004  19.00.00     6.9       1776.0     461.0      27.4   \n",
       "26    11/03/2004  20.00.00     6.1       1640.0     401.0      24.0   \n",
       "27    11/03/2004  21.00.00     3.9       1313.0     197.0      12.8   \n",
       "28    11/03/2004  22.00.00     1.5        965.0      61.0       4.7   \n",
       "29    11/03/2004  23.00.00     1.0        913.0      26.0       2.6   \n",
       "...          ...       ...     ...          ...       ...       ...   \n",
       "9327  03/04/2005  09.00.00     1.2       1022.0    -200.0       4.1   \n",
       "9328  03/04/2005  10.00.00     1.4        970.0    -200.0       3.4   \n",
       "9329  03/04/2005  11.00.00     1.3       1000.0    -200.0       5.3   \n",
       "9330  03/04/2005  12.00.00     1.4        996.0    -200.0       5.3   \n",
       "9331  03/04/2005  13.00.00     1.0        928.0    -200.0       3.8   \n",
       "9332  03/04/2005  14.00.00     1.0        933.0    -200.0       4.2   \n",
       "9333  03/04/2005  15.00.00     1.1        956.0    -200.0       5.4   \n",
       "9334  03/04/2005  16.00.00     1.3        968.0    -200.0       6.3   \n",
       "9335  03/04/2005  17.00.00     1.4        953.0    -200.0       6.1   \n",
       "9336  03/04/2005  18.00.00     1.2       1015.0    -200.0       4.6   \n",
       "9337  03/04/2005  19.00.00     2.7       1248.0    -200.0      11.1   \n",
       "9338  03/04/2005  20.00.00     2.5       1180.0    -200.0       7.9   \n",
       "9339  03/04/2005  21.00.00     1.5       1102.0    -200.0       6.0   \n",
       "9340  03/04/2005  22.00.00     1.6       1116.0    -200.0       5.8   \n",
       "9341  03/04/2005  23.00.00     1.2       1100.0    -200.0       5.1   \n",
       "9342  04/04/2005  00.00.00     0.9       1012.0    -200.0       3.5   \n",
       "9343  04/04/2005  01.00.00     0.6        944.0    -200.0       1.9   \n",
       "9344  04/04/2005  02.00.00     0.5        912.0    -200.0       1.5   \n",
       "9345  04/04/2005  03.00.00     0.4        887.0    -200.0       1.1   \n",
       "9346  04/04/2005  04.00.00  -200.0        864.0    -200.0       0.8   \n",
       "9347  04/04/2005  05.00.00     0.5        888.0    -200.0       1.3   \n",
       "9348  04/04/2005  06.00.00     1.1       1031.0    -200.0       4.4   \n",
       "9349  04/04/2005  07.00.00     4.0       1384.0    -200.0      17.4   \n",
       "9350  04/04/2005  08.00.00     5.0       1446.0    -200.0      22.4   \n",
       "9351  04/04/2005  09.00.00     3.9       1297.0    -200.0      13.6   \n",
       "9352  04/04/2005  10.00.00     3.1       1314.0    -200.0      13.5   \n",
       "9353  04/04/2005  11.00.00     2.4       1163.0    -200.0      11.4   \n",
       "9354  04/04/2005  12.00.00     2.4       1142.0    -200.0      12.4   \n",
       "9355  04/04/2005  13.00.00     2.1       1003.0    -200.0       9.5   \n",
       "9356  04/04/2005  14.00.00     2.2       1071.0    -200.0      11.9   \n",
       "\n",
       "      PT08.S2(NMHC)  NOx(GT)  PT08.S3(NOx)  NO2(GT)  PT08.S4(NO2)  \\\n",
       "0            1046.0    166.0        1056.0    113.0        1692.0   \n",
       "1             955.0    103.0        1174.0     92.0        1559.0   \n",
       "2             939.0    131.0        1140.0    114.0        1555.0   \n",
       "3             948.0    172.0        1092.0    122.0        1584.0   \n",
       "4             836.0    131.0        1205.0    116.0        1490.0   \n",
       "5             750.0     89.0        1337.0     96.0        1393.0   \n",
       "6             690.0     62.0        1462.0     77.0        1333.0   \n",
       "7             672.0     62.0        1453.0     76.0        1333.0   \n",
       "8             609.0     45.0        1579.0     60.0        1276.0   \n",
       "9             561.0   -200.0        1705.0   -200.0        1235.0   \n",
       "10            527.0     21.0        1818.0     34.0        1197.0   \n",
       "11            512.0     16.0        1918.0     28.0        1182.0   \n",
       "12            553.0     34.0        1738.0     48.0        1221.0   \n",
       "13            667.0     98.0        1490.0     82.0        1339.0   \n",
       "14            900.0    174.0        1136.0    112.0        1517.0   \n",
       "15            960.0    129.0        1079.0    101.0        1583.0   \n",
       "16            827.0    112.0        1218.0     98.0        1446.0   \n",
       "17            762.0     95.0        1328.0     92.0        1362.0   \n",
       "18            774.0    104.0        1301.0     95.0        1401.0   \n",
       "19            869.0    146.0        1162.0    112.0        1537.0   \n",
       "20           1034.0    207.0         983.0    128.0        1730.0   \n",
       "21            933.0    184.0        1082.0    126.0        1647.0   \n",
       "22            912.0    193.0        1103.0    131.0        1591.0   \n",
       "23           1020.0    243.0        1008.0    135.0        1719.0   \n",
       "24           1319.0    281.0         799.0    151.0        2083.0   \n",
       "25           1488.0    383.0         702.0    172.0        2333.0   \n",
       "26           1404.0    351.0         743.0    165.0        2191.0   \n",
       "27           1076.0    240.0         957.0    136.0        1707.0   \n",
       "28            749.0     94.0        1325.0     85.0        1333.0   \n",
       "29            629.0     47.0        1565.0     53.0        1252.0   \n",
       "...             ...      ...           ...      ...           ...   \n",
       "9327          715.0    192.0         806.0    118.0        1004.0   \n",
       "9328          677.0    166.0         888.0    113.0         931.0   \n",
       "9329          779.0    171.0         805.0    115.0        1001.0   \n",
       "9330          781.0    177.0         806.0    124.0         985.0   \n",
       "9331          701.0    119.0         926.0     86.0         902.0   \n",
       "9332          722.0    121.0         899.0     87.0         890.0   \n",
       "9333          783.0    142.0         857.0    100.0         896.0   \n",
       "9334          826.0    197.0         867.0    132.0         898.0   \n",
       "9335          817.0    242.0         872.0    156.0         891.0   \n",
       "9336          743.0    190.0         851.0    138.0         981.0   \n",
       "9337         1018.0    367.0         599.0    181.0        1289.0   \n",
       "9338          894.0    355.0         636.0    187.0        1200.0   \n",
       "9339          812.0    235.0         693.0    158.0        1178.0   \n",
       "9340          803.0    233.0         696.0    153.0        1173.0   \n",
       "9341          769.0    170.0         722.0    128.0        1147.0   \n",
       "9342          683.0    117.0         801.0     93.0        1073.0   \n",
       "9343          579.0     70.0         925.0     58.0        1002.0   \n",
       "9344          544.0     69.0         959.0     55.0        1002.0   \n",
       "9345          508.0     62.0        1047.0     51.0         974.0   \n",
       "9346          478.0     52.0        1116.0     43.0         958.0   \n",
       "9347          528.0     77.0        1077.0     53.0         987.0   \n",
       "9348          730.0    182.0         760.0     93.0        1129.0   \n",
       "9349         1221.0    594.0         470.0    155.0        1600.0   \n",
       "9350         1362.0    586.0         415.0    174.0        1777.0   \n",
       "9351         1102.0    523.0         507.0    187.0        1375.0   \n",
       "9352         1101.0    472.0         539.0    190.0        1374.0   \n",
       "9353         1027.0    353.0         604.0    179.0        1264.0   \n",
       "9354         1063.0    293.0         603.0    175.0        1241.0   \n",
       "9355          961.0    235.0         702.0    156.0        1041.0   \n",
       "9356         1047.0    265.0         654.0    168.0        1129.0   \n",
       "\n",
       "      PT08.S5(O3)     T    RH  \n",
       "0          1268.0  13.6  48.9  \n",
       "1           972.0  13.3  47.7  \n",
       "2          1074.0  11.9  54.0  \n",
       "3          1203.0  11.0  60.0  \n",
       "4          1110.0  11.2  59.6  \n",
       "5           949.0  11.2  59.2  \n",
       "6           733.0  11.3  56.8  \n",
       "7           730.0  10.7  60.0  \n",
       "8           620.0  10.7  59.7  \n",
       "9           501.0  10.3  60.2  \n",
       "10          445.0  10.1  60.5  \n",
       "11          422.0  11.0  56.2  \n",
       "12          472.0  10.5  58.1  \n",
       "13          730.0  10.2  59.6  \n",
       "14         1102.0  10.8  57.4  \n",
       "15         1028.0  10.5  60.6  \n",
       "16          860.0  10.8  58.4  \n",
       "17          671.0  10.5  57.9  \n",
       "18          664.0   9.5  66.8  \n",
       "19          799.0   8.3  76.4  \n",
       "20         1037.0   8.0  81.1  \n",
       "21          946.0   8.3  79.8  \n",
       "22          957.0   9.7  71.2  \n",
       "23         1104.0   9.8  67.6  \n",
       "24         1409.0  10.3  64.2  \n",
       "25         1704.0   9.7  69.3  \n",
       "26         1654.0   9.6  67.8  \n",
       "27         1285.0   9.1  64.0  \n",
       "28          821.0   8.2  63.4  \n",
       "29          552.0   8.2  60.8  \n",
       "...           ...   ...   ...  \n",
       "9327        831.0  17.8  30.7  \n",
       "9328        613.0  21.1  23.7  \n",
       "9329        640.0  24.0  19.3  \n",
       "9330        631.0  26.5  16.4  \n",
       "9331        456.0  28.7  13.7  \n",
       "9332        450.0  28.5  13.1  \n",
       "9333        516.0  30.0  11.1  \n",
       "9334        548.0  29.4  10.4  \n",
       "9335        603.0  28.9   9.9  \n",
       "9336        597.0  22.8  21.7  \n",
       "9337       1167.0  19.9  33.0  \n",
       "9338       1372.0  17.5  40.7  \n",
       "9339       1042.0  16.4  46.6  \n",
       "9340       1055.0  15.5  49.0  \n",
       "9341       1049.0  14.3  52.5  \n",
       "9342        816.0  14.2  51.4  \n",
       "9343        598.0  13.8  51.2  \n",
       "9344        573.0  12.1  56.3  \n",
       "9345        549.0  11.3  58.9  \n",
       "9346        489.0  11.8  56.0  \n",
       "9347        578.0  10.4  59.9  \n",
       "9348        905.0   9.5  63.1  \n",
       "9349       1457.0   9.7  61.9  \n",
       "9350       1705.0  13.5  48.9  \n",
       "9351       1583.0  18.2  36.3  \n",
       "9352       1729.0  21.9  29.3  \n",
       "9353       1269.0  24.3  23.7  \n",
       "9354       1092.0  26.9  18.3  \n",
       "9355        770.0  28.3  13.5  \n",
       "9356        816.0  28.5  13.1  \n",
       "\n",
       "[9357 rows x 14 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date             0\n",
       "Time             0\n",
       "CO(GT)           0\n",
       "PT08.S1(CO)      0\n",
       "NMHC(GT)         0\n",
       "C6H6(GT)         0\n",
       "PT08.S2(NMHC)    0\n",
       "NOx(GT)          0\n",
       "PT08.S3(NOx)     0\n",
       "NO2(GT)          0\n",
       "PT08.S4(NO2)     0\n",
       "PT08.S5(O3)      0\n",
       "T                0\n",
       "RH               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/angicia/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df['DateTime'] = (df.Date) + ' ' + (df.Time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      2004-03-10 18:00:00\n",
       "1      2004-03-10 19:00:00\n",
       "2      2004-03-10 20:00:00\n",
       "3      2004-03-10 21:00:00\n",
       "4      2004-03-10 22:00:00\n",
       "5      2004-03-10 23:00:00\n",
       "6      2004-03-11 00:00:00\n",
       "7      2004-03-11 01:00:00\n",
       "8      2004-03-11 02:00:00\n",
       "9      2004-03-11 03:00:00\n",
       "10     2004-03-11 04:00:00\n",
       "11     2004-03-11 05:00:00\n",
       "12     2004-03-11 06:00:00\n",
       "13     2004-03-11 07:00:00\n",
       "14     2004-03-11 08:00:00\n",
       "15     2004-03-11 09:00:00\n",
       "16     2004-03-11 10:00:00\n",
       "17     2004-03-11 11:00:00\n",
       "18     2004-03-11 12:00:00\n",
       "19     2004-03-11 13:00:00\n",
       "20     2004-03-11 14:00:00\n",
       "21     2004-03-11 15:00:00\n",
       "22     2004-03-11 16:00:00\n",
       "23     2004-03-11 17:00:00\n",
       "24     2004-03-11 18:00:00\n",
       "25     2004-03-11 19:00:00\n",
       "26     2004-03-11 20:00:00\n",
       "27     2004-03-11 21:00:00\n",
       "28     2004-03-11 22:00:00\n",
       "29     2004-03-11 23:00:00\n",
       "               ...        \n",
       "9327   2005-04-03 09:00:00\n",
       "9328   2005-04-03 10:00:00\n",
       "9329   2005-04-03 11:00:00\n",
       "9330   2005-04-03 12:00:00\n",
       "9331   2005-04-03 13:00:00\n",
       "9332   2005-04-03 14:00:00\n",
       "9333   2005-04-03 15:00:00\n",
       "9334   2005-04-03 16:00:00\n",
       "9335   2005-04-03 17:00:00\n",
       "9336   2005-04-03 18:00:00\n",
       "9337   2005-04-03 19:00:00\n",
       "9338   2005-04-03 20:00:00\n",
       "9339   2005-04-03 21:00:00\n",
       "9340   2005-04-03 22:00:00\n",
       "9341   2005-04-03 23:00:00\n",
       "9342   2005-04-04 00:00:00\n",
       "9343   2005-04-04 01:00:00\n",
       "9344   2005-04-04 02:00:00\n",
       "9345   2005-04-04 03:00:00\n",
       "9346   2005-04-04 04:00:00\n",
       "9347   2005-04-04 05:00:00\n",
       "9348   2005-04-04 06:00:00\n",
       "9349   2005-04-04 07:00:00\n",
       "9350   2005-04-04 08:00:00\n",
       "9351   2005-04-04 09:00:00\n",
       "9352   2005-04-04 10:00:00\n",
       "9353   2005-04-04 11:00:00\n",
       "9354   2005-04-04 12:00:00\n",
       "9355   2005-04-04 13:00:00\n",
       "9356   2005-04-04 14:00:00\n",
       "Name: DateTime, Length: 9357, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['DateTime'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'str'>\n"
     ]
    }
   ],
   "source": [
    "print(type(df.DateTime[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/angicia/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py:5096: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self[name] = value\n"
     ]
    }
   ],
   "source": [
    "df.DateTime = df.DateTime.apply(lambda x: datetime.datetime.strptime(x, '%d/%m/%Y %H.%M.%S'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      2004-03-10 18:00:00\n",
       "1      2004-03-10 19:00:00\n",
       "2      2004-03-10 20:00:00\n",
       "3      2004-03-10 21:00:00\n",
       "4      2004-03-10 22:00:00\n",
       "5      2004-03-10 23:00:00\n",
       "6      2004-03-11 00:00:00\n",
       "7      2004-03-11 01:00:00\n",
       "8      2004-03-11 02:00:00\n",
       "9      2004-03-11 03:00:00\n",
       "10     2004-03-11 04:00:00\n",
       "11     2004-03-11 05:00:00\n",
       "12     2004-03-11 06:00:00\n",
       "13     2004-03-11 07:00:00\n",
       "14     2004-03-11 08:00:00\n",
       "15     2004-03-11 09:00:00\n",
       "16     2004-03-11 10:00:00\n",
       "17     2004-03-11 11:00:00\n",
       "18     2004-03-11 12:00:00\n",
       "19     2004-03-11 13:00:00\n",
       "20     2004-03-11 14:00:00\n",
       "21     2004-03-11 15:00:00\n",
       "22     2004-03-11 16:00:00\n",
       "23     2004-03-11 17:00:00\n",
       "24     2004-03-11 18:00:00\n",
       "25     2004-03-11 19:00:00\n",
       "26     2004-03-11 20:00:00\n",
       "27     2004-03-11 21:00:00\n",
       "28     2004-03-11 22:00:00\n",
       "29     2004-03-11 23:00:00\n",
       "               ...        \n",
       "9327   2005-04-03 09:00:00\n",
       "9328   2005-04-03 10:00:00\n",
       "9329   2005-04-03 11:00:00\n",
       "9330   2005-04-03 12:00:00\n",
       "9331   2005-04-03 13:00:00\n",
       "9332   2005-04-03 14:00:00\n",
       "9333   2005-04-03 15:00:00\n",
       "9334   2005-04-03 16:00:00\n",
       "9335   2005-04-03 17:00:00\n",
       "9336   2005-04-03 18:00:00\n",
       "9337   2005-04-03 19:00:00\n",
       "9338   2005-04-03 20:00:00\n",
       "9339   2005-04-03 21:00:00\n",
       "9340   2005-04-03 22:00:00\n",
       "9341   2005-04-03 23:00:00\n",
       "9342   2005-04-04 00:00:00\n",
       "9343   2005-04-04 01:00:00\n",
       "9344   2005-04-04 02:00:00\n",
       "9345   2005-04-04 03:00:00\n",
       "9346   2005-04-04 04:00:00\n",
       "9347   2005-04-04 05:00:00\n",
       "9348   2005-04-04 06:00:00\n",
       "9349   2005-04-04 07:00:00\n",
       "9350   2005-04-04 08:00:00\n",
       "9351   2005-04-04 09:00:00\n",
       "9352   2005-04-04 10:00:00\n",
       "9353   2005-04-04 11:00:00\n",
       "9354   2005-04-04 12:00:00\n",
       "9355   2005-04-04 13:00:00\n",
       "9356   2005-04-04 14:00:00\n",
       "Name: DateTime, Length: 9357, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.DateTime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas._libs.tslibs.timestamps.Timestamp'>\n"
     ]
    }
   ],
   "source": [
    "print (type(df.DateTime[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.index = df.DateTime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2004-03-10 18:00:00', '2004-03-10 19:00:00',\n",
       "               '2004-03-10 20:00:00', '2004-03-10 21:00:00',\n",
       "               '2004-03-10 22:00:00', '2004-03-10 23:00:00',\n",
       "               '2004-03-11 00:00:00', '2004-03-11 01:00:00',\n",
       "               '2004-03-11 02:00:00', '2004-03-11 03:00:00',\n",
       "               ...\n",
       "               '2005-04-04 05:00:00', '2005-04-04 06:00:00',\n",
       "               '2005-04-04 07:00:00', '2005-04-04 08:00:00',\n",
       "               '2005-04-04 09:00:00', '2005-04-04 10:00:00',\n",
       "               '2005-04-04 11:00:00', '2005-04-04 12:00:00',\n",
       "               '2005-04-04 13:00:00', '2005-04-04 14:00:00'],\n",
       "              dtype='datetime64[ns]', name='DateTime', length=9357, freq=None)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/angicia/anaconda3/lib/python3.7/site-packages/pandas/plotting/_converter.py:129: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb6983c7240>]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df['T'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb697fcdd68>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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NodvC3f/vv1Gf4D2JHwcU4gpcuEP96Nl43CIVp874ev4c1XEQYG2T9/371jDQbbo7Zc7q3jng/61vbESXlI7ypkcITJ+/C2sO1KB49mSk+u2TS8Ot7R4szD6CvkHnioTa9gi1b8Z/oKBcW88Y0CMgzK4jp3DX2+Hzh0l/34hX7r5M5RW9yG/nl5/koH+PLtj5+5uxreQEunZOweXD+sZ0rnhwvhhE2f/JlsN49IYLAqq48QykCXZheIT6RqOUTuS7pjzi+LoRAxTDrthXHRKp290eRZvnbuzoElla24yTzW3o16OLOqOg3BV39f5jMbWGaZ03xiNEWNdJrCzNrcSNFw1Cz7TI0f5ZFWIVLgOKZzyAyyM0uW+CCRaznWWn0NLu1q0R87df5mLOPWNVhW3zc7k8sygP66RacfBTkkV0a8mJqCPog1mWV4UfnN8/pmNk4n0khdXR291mLlZ2F6kxRp5iY6rkejr88m2xnSsOHO8mUpM0r34pMCNvbHGpni4g1sik5K9PUUil8mIowXyXXx1SCj/W0Bow+EzJtuONrREXBVHK3JQGz/15eUEYN1EoZ9rdukz58VoMfvhw7KusxxOf7cbMRTEm0DAoNZYC6geiBaPH2AWZ4Dm4qupbMGtxvm71gnBTqFx4Tq+Ixy3afTRsDyAtQxTUutDmbTkcsk2p04WM0jKlsbzdWAuVZnc4crwYxFNtX5pbGdAzKBKR3FBKo4uVMuS2GFJCJyLFe6pW8DHGUhL8Ll/dIKiGMy7FkrrSY/5wU2nY9g21CBGYANNnZOEZqcT1/oYS1VORy6t3yXMxRcoE1JBbUae4PZZumYlkd/kpXbs3Nra0B7RRAcBd44YCAEY/9x1eiTIRX3AbUyKmtTigUJpPiRARvvXreRUcysSB14bhfDGIM5JF6jFiJp0osGdQJJR8xH9epjxhmNrpvGubWlGm4PrZXhpb1V6J8pOnQwZC1Z9px6dBJT+5IXv2soKAef8jETz7ZkonbVE/3NKTamZANYOS4804pePSlQuzy32D2mTkZ3K6zY23o67F7P0+1dwGt0cYOjgtEh9tPhyybX9VA34Y5C0okcbKdCwOpK8dBPMXEnK8GDhlIi2ZzWHcR0ooxa1gF0I8KKXbdYXKPaRi4fsDoT2GgrsyRuNo3RnMXLQ3pIQuJzQ5OqRojPmbipXvV61Qm4HSHEnxojQnUSeCortSCSG8QnDFC6swZ0Whaek03IDIqvqWiBm+3tl2184ppq+v4ngxMKvEYRRK3TLDEcu9W2FO+Fgam5/265HlP0PrjK/34rPscmz16xHy4rf7fT3D5CeidVF5ebbTYKwsBnqi1FONSH1vqE+2HMZJyd24cl91QtPplLc2R2w/k1EuqXvtDI4/WldOjOSuShSOF4N4XbhqG5AbLLxa2ltr1c+IOmeF+UtlxtKLZJFf3+9/f3NTSJuHgLeLcP3pdnzg11NMdhPF059dDcmyWPt7CjXMWAR2QXaH66+ktlmze01t99J2twe55XWq3tMOhUZ9X8eBoFtV664MR+cUFgPDefwzY+fcL6pp8q24xGhDy+RdpbXNcLk92ChNl1B/ph1T527DQ58ErgYnl0Bb2pOjBJ9IYvF5t7tEgLvxyxxtLix58sCjdWcUB7XJPL90n+pzKs0s++qqg3C5PfirzoUnrW1YemC+BQZjdO1zaW4l7oww+IRJDEU1jb6J8YCOSf38J9gDtHVhZCITi6ejuqElYMR93RltNapRzy5HdX0Lrn35e9wwZ13YcPO3h84bFCtvrCkKGcuhFaX5rGIdxawVx4sBkxws2nVUsedYcA3A7fFg0S79GlKZDmJth/F3rejRgBxuAR69KT6emHU59Bx7ogYWA8YxqOkpdfBYE57+QvsylEwoWtpA9ZgqvC1Ba3uHG3CoN6eaE9seyWLAOAYjli1kYsH8RlCZ2/+hPOGfnXhttfaR97HAYsAwjE5Ypxt3svTq0hPTxICIJhFRIREVE9EMs+xgGKty40WDzDYhYUwYqTwxo5FYdeoQszBFDIgoBcBbACYDGA3gPiIabYYtjPmkpXIFNZjLh/XFRw9ehd/cPApjh/XFX+6+1HBxmHXrxVj99PWGXiMc8U7F8NC16XFf0+0R6MJxz4dZT2I8gGIhRIkQog3AQgBTTLJFNVeln6X7OZ++eZTqsE/cOEJx+5XnxWfXef27Y+JFg3BO7/BrJ0Tj/AE9cPPoszHr1ot928YO7RPxGDnsr28cgZmTL0Lhi5ORGec96MFtlw3Gv489N2KYZ269CBM1ZMbj0/sB8Gbyr9x9Gfb/6ZaI4eV38uuJI7Fk+rW496rh+OjBq/DZI1fjZ5lDA8IO6dsNvaJMyx2Nnc/ehF9NyMAFA3vGdFxwo/G44frPu//N9Gvx7a+vU9x3Xr/uUY+/7dLBEfcPV3EOI7npYmvUACnehao1XZTopwAmCSF+Jf2/H8APhBCPhzsmMzNT5OSom0nUnw82luDFrALccfm5+PvUK9DY0o7v8qsxqHdXLNlzFH+4fQzG/mllwDEfP3QVDlQ14i9BMy9umzkxZLrrYCZeNAj/+PkVqK5vwf0fZuNo3Rm8du9YjB3aF/+7rQwfSxNjLX9yAi4e3BuAdyWtWYvzcaC6AfsqGzD1qmEorW3GtSMGYNeRU7gqvR/mrCjEgRcmoeR4Mx78OBvn9u2GSZecg9suHYzBfbpixKzlPhtmTr4IA3qmoWvnFExfsAvXjxqILimdsLm4Ft//9w1wewTe31CC6TeOwKBeXdHS7sZFv/8OAHDpkD5Y9Ng1eH11UcAqacuemIDR5/aO+flvLq7F2+uK8fTNF+LyYX1xpt2tuJ6AvN7tIxPOx/iMfiitbfat+vWbm0dh5Nk9ccOoQUjpROiS2gnPL92HT7Ycxu9vH43+Pbrgg00leHLiKOSW1+HxG0dgc3EtHp6Xg5fvuhRpnTuhExG+2X0Ua6U5lP7jB8MxPqMfbh59Nrp38dojhEDGzGUBdgXPI3+07gye/Gw33rv/SvTr0QUNLS706dYZNY0tGD97DZ66aSQeveEC1Da14kBVI371aQ66dU5BwQuTQu55y6Fa5Bw+hVelKbpf/dlYZAzogWV5VXj8xpHo0y38Ai9CCLy0/AAyBvTAfeOH+7YV1TThx37LQ/bqmopxw88KWF3vtksHIzWF0Oby4MU7LkFqp07o47eYzILtR9DS7sb20hN49xdXgoiQf7Qer68pwozJF+HzHeW+nlvFsydj3tYyvPDtfrz7i3GYv/0Imlpd2H2kY1bXiwf3RkGVcp/5+8YPx2fZRzBh5ABsLKrFT68cilvGnIPleVXo1Inw4h2XoGvnFABAc6sLY/6wAgN6pvlmCCiaPRkj/eJ+MNdc0B8LHrkaQgjsLq8LWJDmwAuTcNkfV+Kha9J9I6rPH9ADJbXNGNgrLWTG3WVPTMCWQ7V4MatjssefXjkU6w8e94XNnjUR9763zTfn0UXn9ELZidOYMHIAbh97LgjeLqPL86tx95VD8NA1GTinT1e0uz24+50t2FsRuq7FTRefjQ8eyAx7j5Egop1CCFUHmyUG9wC4JUgMxgshfh0UbhqAaQAwfPjwK8vK1C/9FwsnmlpR3dCCc/t0Q6vLg3P6dJSU/TPKwy/fBiEE2twe7Cg95ZtEbfFj16B7l9SQ+dyFEGhp96BbF29kdrk9KKltRt/unTGoV/ylcSWKaxox7dOdKKltxmv3jsWdVwyNfpAfp9tcKKhqwJXneUuwW4pr8fMPvPf3Hz8Yjtl3XqqrvWqQZzBVWtjjj//ah483e8Xg4esyVJ3vo02lvuU1f3ltBp77d2XP5OTXN/oyLy2LitSfbsfYP60MKwYyu46cwvB+3TGgZ1rc1/Jnb0UdGs640K1LCsac2xtdO6fgn9vKUH7yNH5x9XkYprEk7HJ7cKC6Ed27pOD8gT1RUNWAya9vxDv/MQ4Lsr1i8PGDVyG3oh7XXNAfn0piMWnMOfjTlDEY1LsrahpakH34JAb36Ya739niE4O853+MXl2jr3LW3OqCyyPQp1tnNLe6MG/rYXy9swIjB/XyjRx+4sYReOjaDJzlt6CTy+3BzEV5+HJnhU8MfnltBn7z41HYfaQO4zP6oaaxBf17pKG6oQX5R+txXv/uGDWoFzp1IrS63Pj9N/nokZaKpyaOQp/unXGmzY1tpScwYmBPDOvXHTe/uh5FNU1Y8dT1Udd4iHR/PdJS0dLuRueUTnHPXRSLGJi10lkFgGF+/4cCqAwOJISYC2Au4K0ZGGVM/55p6B8mIcqlEhkiQlpqCvr37IhgA3qmKSYwIvIJAQCkpnTCqLPjixzRGDGoFwb2SvNNtRsr3buk+oTADthp/sFo60OPG66vi+yyoaGuml9cfZ5u509N6YRLhnS4ApXc/X27d8ENowYGbBvctysGSe6vQb274vbLzsWuOKdy6eFXu+yRlorHfjQCj/1oBBpa2n1i8PSPL1S0PWNgj5DtnVM6YXyGN/7LBbUhfbthSN9uAeHSUlPwyk8DV3nr1iUF/3ZhqKtHy1yI8v0F5z9GYlabwQ4AI4kog4i6AJgKYKlJtjgGXadD9zuXydOsR8QI03Q7p4Wfm1NR88iNXgvarphSMxBCuIjocQArAKQA+EgIoX4GKYaRiKWCYGVRSwbsVJtLRsxyE0EIsQzAsqgBGUYBztjtg5pXxUJhPtzJNk44M2KYQOLJz81MRixAgbAYMEwQLPSxoYcPPloju54k6v3aTWxYDByEng1j/udySoOb2rvQf7FzZzy/RKB1UfiYjzcgw7ZrYYLFgLE1ZoyTYSJjt7zQrpm33rAYMLaES9vOwkmabtd7YTGIE86MGCaQeDJBrW4hLRjdTmG3GgeLAWNLEtngyETGSpmeukFnjBIsBg5Cz0Tpfy4rJfZgYilZqg3Ltb7EY1fXipNgMWBsDTcgOwuWYfNgMdABq5Sckylf5NK7fVCTPtjtZz4sBnFiFQFQgjNKbVj53VqZeDJ0HoFsHVgMmKRBbSbPWhAbVnpeat4xi70yLAYOQtcG5DC/nUIiMwTOfBg7wGLA2BIjM1j2HhhDpMZ+J7ls7HorLAZxwoU9hlGHqims5bAJTFhGZ9p2yyNYDBhbYqeSpJ1s1UJ8I5D1tUFN5wnuYKEMi4GD0HfQmfMSjOpZS/W6nvMeoSLJcp9Oh8WAiYoThYFJPElSQbItLAaMLWF9sg+qChOsFKbDYhAnnBkxjH6YMQKZpzIJhMWASR5UjzpjpY+H+NZApoj/Yz4fDzqLGxYDB6HrspdJnGCS+NYZHbFbvYPFgLE1XNO3Aurk04rvygj3lF0LEywGjC2xU4JLplpWvBm+FYUiXux6KywGcZNEKdyC2DXBJQPheg8pbTZTKH2jng06v91yCBYDxtbEkpmoHnRmt1RsEbT0zmFxNx8WAwdh1KylDMM4HxYDJipWLik7yddsV9TGDzXvyspxzemwGMRJ4ILxHIMTDT9x+6BqALIJqs4FiUAMEwMiep6IjhLRHulzq9++mURUTESFRHSLUTYwjD+s2c5H3aAzjghKpBp8/teEEH/130BEowFMBTAGwLkAVhPRKCGE22BbGEYVnFUwyYgZbqIpABYKIVqFEKUAigGMN8EOJgJ2KTzFO2jIJrfHMAnDaDF4nIj2EtFHRHSWtG0IgHK/MBXSthCIaBoR5RBRzvHjxw02lQmHFRcDMVKs2I0QG2qfViThdpL73q4T4GkSAyJaTUT5Cp8pAN4BcAGAywFUAfibfJjCqRSfnhBirhAiUwiROXDgQC2m6o6Vs4tkyMtsmt6SElXLXur0PmMquBgch+yWDjW1GQghblITjojeB/Ct9LcCwDC/3UMBVGqxg0leYkn8asPqttKZTudxMmZkmPxelDGyN9Fgv793AsiXfi8FMJWI0ogoA8BIANlG2cEwscKVDiYZMbI30StEdDm8aeswgP8HAEKIfUT0BYD9AFwApnNPIitij/KTGYuiMMqw687eGCYGQoj7I+ybDWC2Uddm9MWKvk8r2pSsqG1wt5pYcEEiEB6BHCfc48R+8CszCRUPXq9smd9x/LAYMEwQnJ8kDl+jvlRtSERmzoKhDIsBowgnGIZJLlgMHEQm11V0AAASWUlEQVQyuq6s5odOZtgHb29YDOIkmbJdK96rkcKXhJqqCfUjkI0nllfHBYlAWAwYWxLPkH+z8vhk0pZ4aweJzJf93wcLQgcsBoytMaIUb8W5mOxEuKentJ0C249NgWuCXlgMGEXskj64ZOcsWIjNg8XAQSRTMkrGxnKrw8Jsb1gM4iSZ8iKn3KtT7sNqqF4DOeI+fZQklkICa1cgLAY6wHmMw+AXqitWe5xcq1SGxYBhGNPgfNk6sBgwitil9BRvVd8mt5c0cHuD+bAYOIhkyuCS6FZtgxUy9NgGnRljsAUeQ1ywGMRJMnWBs2ItIZ4El+iVzphAIuW98j4LRjUN2OtmWAwYW2NEctMrQ7KiiBpBNJGN9BjMKFQlyWuJGRYDB2GFajrDMPaExYBRxC6FJ9Y/htEHFoM4sWJV04o2GUVct5pEz8cMrCDMsaQBK9hrJVgMmKhwHsroQ/js16xZS5kOWAwYhtFEtNJ4pEbijllLpWUv9TKKiRkWA0aRZHI5MQzDYsDYnFh6ULG+OZ+YJqozyjdl08YIFgMHwZkdYybRRvQmW9dnu9WuWQyY6Fg4UvNKZ9bHcpliggyym/ixGDBMEHrlFUbNfWNlYr1l+VGb9agMuazVxE8lLAaMInYpHdshv02WaSlkgm83pnYdE56VXeK60bAYMPYkjvSbbJmy1bDa49drdTWnoEkMiOgeItpHRB4iygzaN5OIiomokIhu8ds+SdpWTEQztFzfTKwWsQHjMjsuOTF6YJVaHMdmZbTWDPIB3AVgg/9GIhoNYCqAMQAmAXibiFKIKAXAWwAmAxgN4D4prK2xojAw8cPvMz7C5fVqnieX0s0nVcvBQogCQLFEOgXAQiFEK4BSIioGMF7aVyyEKJGOWyiF3a/FDoZhzEOLeLLwWgej2gyGACj3+18hbQu3nbEYdkmksZQo/W+J2w+shVVcSMlM1JoBEa0GcI7CrllCiCXhDlPYJqAsPmGjARFNAzANAIYPHx7F0sTCmQmjlmTsYhovCU1VPAI5gKhiIIS4KY7zVgAY5vd/KIBK6Xe47UrXngtgLgBkZmba9BEnDqMSkpV1z4jGbb3OyQWGQCIue5k4MxIWn+32+o1yEy0FMJWI0ogoA8BIANkAdgAYSUQZRNQF3kbmpQbZwDBMIgmTo9ssT0xaNDUgE9GdAP4BYCCALCLaI4S4RQixj4i+gLdh2AVguhDCLR3zOIAVAFIAfCSE2KfpDhhGZ3gEcmxoqwGxVFgFrb2JFgNYHGbfbACzFbYvA7BMy3UZRiamBmST8h12F1mT5JBq9fAI5Djh5G0uPBDOWSRLLcrKsBg4CKMKoJztMnoQqRaX2GUvOUYrwWLgILhwxZhJuMw+lkIKe9TMg8XAgSSTjzq2GTGNsyOZ0dR8zO/EMrAYMIpYPZFa3T7G+hhVk7ZrBZ3FIE44MzIXdokx8ZKwQWeJuYxusBg4CMMakC0cq61sGxNIRAFncTcdFgOGYXQhXGavpvcOa4H5sBgwitil+11MDcgq70mvBvhkyeD8H1e8ayB3nCux8c7I8Q12e/8sBnFil8zSqdjJPWQjUw3BqgvXyHbpHZfs+r5ZDBgmCLsmZqsQrqBkFQG3iBmWg8XAUfAayIx1iTiFNXcPMx0WAx3gzNIeWKVk6lTCroEcIX0k0wBJq8NiwCji9DTq8NuzHWbUC3jQWSAsBnHi9MyS0Q+7Zg5q4ZqxMnZ7KiwGDBOEXkJvt8wgWeCCnDIsBg4iGUcgM/Yh4gBkp1efbACLAcMwuhA2Q49QmOByhnVgMWAUSebagF63zoVda8PvJxAWgzhJ4rzSEhj5/PXu7uj0uKLH40rkKGVu8FaGxYBhGEuQzLVRK8Bi4CCMSktOSaM8wMlcIo9ATpwdjDIsBoyt4WkMrEPYNZAjHGOmPnPcCYTFgFGE/aoMEx92FRkWg3ixYF5pzyioDSNcPxZ8tZbGds8rUcte2swtyWLgQOwVBa1HMopqIojUY8imhWlHwWLgIAwTAZuVcMLhjLuwH3YrIScrLAaMInZJv3b1zzJe/NumEh3lOOoEwmIQJ9zAai5GipVuI5CTLLMRwrpLXIbDSGvtVlDRJAZEdA8R7SMiDxFl+m1PJ6IzRLRH+rzrt+9KIsojomIieoO4DslYDN1jpNNjeJT7s1qmaPTrsGuWprVmkA/gLgAbFPYdEkJcLn0e9dv+DoBpAEZKn0kabWAYVdg0jdqPOJ6zmYLB0cKLJjEQQhQIIQrVhieiwQB6CyG2Cu/b/xTAHVpssAJWyWQMm8LamNMySYKakrK16g7JiZFtBhlEtJuI1hPRBGnbEAAVfmEqpG2KENE0Isohopzjx48baCoTjOMFIJE3yDldWKxSkNITq7nF1JIaLQARrQZwjsKuWUKIJWEOqwIwXAhxgoiuBPANEY2BchIM++SEEHMBzAWAzMxMSz1hJ0ZiRkafl5tscURrAk2Ur91p19GLqGIghLgp1pMKIVoBtEq/dxLRIQCj4K0JDPULOhRAZaznZxjGOnDPOmdgiJuIiAYSUYr0+3x4G4pLhBBVABqJ6GqpF9F/AghXu2AYXeFMy2R41lJLo7Vr6Z1EVAHghwCyiGiFtOt6AHuJKBfAVwAeFUKclPb9F4APABQDOARguRYbmA6MyuysXNvlTMT6WDX6cNwJJKqbKBJCiMUAFits/xrA12GOyQFwiZbrMsZjZQEAuJTPMHrDI5DjhLMi52J1IbQsGoraiV32klGCxYBJGtRm8jwdRWzoJZ6cSZsLiwHDGA3ncgAidz1NFuG0MiwGDsK4EcjWzc04D7E+keKlqcteGhR77BonWQzixG4DSmLH6ffHMMZitxTEYsDYGiMSnON13iDsUiLm96sMiwGTNHAeYF3sIiROhsWAYRhNqBXZSBO4CcEldrNhMXAQhjUgWziRconS+kRuQDYvcnEPpkBYDOLEivmjnpHbygIAWN8+xrpw3FGGxcCBcGRXhp+LsQhhv9K23ew1EhYDhjEKzmgAqM1wnfew7HZHLAYME4Teg+ycXiEJ9vvHc79mlNB9l9S5ymjX981ioANWefl6xmkK89spJHJUtd1KiHoTsQE5cWYkDLu+bxaDOGH/s3PR7d1yHImJRAl04q5jL1gMmCTCbsnTXth1IXjGC4sBwzCmwzJiPiwGjK3hwqj5qB6BbKgVscM1mUBYDOLEitM662mTfw8RK7aPWNAkJgyR4qUctxKZMVsxPlsBFgMmaVC90hlnFkwSwmLAMIwuaC7bswibCouBA2FXqEXg96AaMx4Vv55AWAwYJggegRwbat1qyVJIset9shjEixVTuFEjkB3iRFd9F864XcsQeQSycx+23ZINiwHDMKZj19K0k2AxYBiGYVgMnAgXshgz0FK6F0Ik3GHEtZFAWAwchM1clLogWPpMR63fn9+UtdEkBkQ0h4gOENFeIlpMRH399s0komIiKiSiW/y2T5K2FRPRDC3XNxO7NQ7FiuXvLw4D1TaEW/3WnYQZ8cwpHSL0RmvNYBWAS4QQlwE4CGAmABDRaABTAYwBMAnA20SUQkQpAN4CMBnAaAD3SWEZhmEYE9EkBkKIlUIIl/R3G4Ch0u8pABYKIVqFEKUAigGMlz7FQogSIUQbgIVSWIZhGMZE9Gwz+CWA5dLvIQDK/fZVSNvCbWd0oEtq8jQBdUnxVvU7p+h/z107p+hzItL5fBbn7XWHkFtRF7I9TYqXZ3XvHPbYxlZX2H1G8fC8HYact5v0vu02hiI1WgAiWg3gHIVds4QQS6QwswC4AMyXD1MIL6AsPmHblYhoGoBpADB8+PBophrGa/eOxdm9uwZs65WWimnXn482lwcDeqaZZFkgj0w4HylEuDqjn+ZzDenbDfdffR7qzrTj5tFn62Bd7Lx816UYeXYvxX0PX3c+GltcePi6DNXnGze8L+4eNxQtLjduvVQpSnt5cuJIfLWzAm/9fFzMNvvTp1tn/G7SRbhljDnPL1H07paKRyZk4GjdGQDArZcODtj/owsH4cFr0vFfP7og5NiBPdPw4DXpqGlswejBvXWxZ+bkizCsX/ew+3+Q0Q93XTEELS43Lh3SB5PGhI8L8fDBA5lYvPsohvXrput5jYa0Th1LRA8AeBTARCHEaWnbTAAQQrwk/V8B4HnpkOeFELcohYtEZmamyMnJ0WQrwzBMMkFEO4UQmWrCau1NNAnA7wD8RBYCiaUAphJRGhFlABgJIBvADgAjiSiDiLrA28i8VIsNDMMwjHaiuomi8CaANACrpO5a24QQjwoh9hHRFwD2w+s+mi6EcAMAET0OYAWAFAAfCSH2abSBYRiG0YhmN1GiYDcRwzBMbCTMTcQwDMM4AxYDhmEYhsWAYRiGYTFgGIZhwGLAMAzDwEa9iYjoOICyMLsHAKhNoDl6Y2f77Wy7jJ3vwc62A/a13y52nyeEGKgmoG3EIBJElKO2+5QVsbP9drZdxs73YGfbAfvab1e7I8FuIoZhGIbFgGEYhnGOGMw12wCN2Nl+O9suY+d7sLPtgH3tt6vdYXFEmwHDMAyjDafUDBiGYRgNmCIGRDSMiNYSUQER7SOiJ6Xt/YhoFREVSd9nSduJiN4gomIi2ktE44LO15uIjhLRmxGuOVM6vpCI5PUUuhJRNhHlSnb80U72S9sPE1EeEe0hoqgz+VnFdiK6ULJZ/jQQ0VPR7LfSPUjbnySifMmOqPYn2nYi6i9dryk4DBHNJqJyImqKZrcR9hOR2+/9h53KnogekM5bRN71U2K232J2f0cdec675F0b3nyEEAn/ABgMYJz0uxeAgwBGA3gFwAxp+wwAf5F+3wrvkpoE4GoA24PO9zqABQDeDHO90QBy4Z1uOwPAIXin0CYAPaUwnQFsB3C1XeyX9h0GMMBuzz4oTAqAanj7RNvmHgBcAiAfQHd4p4NfDWCkxWzvAeA6eBegejNo39WSPU1mxB811wXQD0CJ9H2W9PusWO23mN29pW8C8DWAqWqfv5EfU2oGQogqIcQu6XcjgAJ410KeAmCeFGwegDuk31MAfCq8bAPQl4gGAwARXQngbAArI1xyCoCFQohWIUQpgGIA46XzyaWKztInaiOKVeyPZqeNbJ8I4JAQItygQqvew8XwruFxWgjhArAewJ1Wsl0I0SyE2ASgRWHfNiFEVSR7jbRfJbcAWCWEOCmEOAVgFYBJsdpvMbsbpDCpALpARZ6TCExvMyCidABXwFsqP1t+udL3ICnYEADlfodVABhCRJ0A/A3Ab6NcRvF46fopRLQHQA28L2+7neyHNyKtJKKd5F0z2k62y0wF8FkstsuYfA/5AK6XXDHd4S1NDrOY7YahxX7pd1ciyiGibUR0B5RRE39sZzd5lwKuAdAI4Cst96MXWlc60wQR9YS3mvSUEKKBvKulKQZV2CYAPAZgmRCiPMKxkY6H8K7AdjkR9QWwmIguEULk28V+ANcKISqJaBC8K84dEEJssIntIO/ypz8BMDOazSEnNvkehBAFRPQXeEt9TfC6klwWs90QdLAfAIZLcfd8AN8TUZ4Q4lAMx8eMVewWQtxCRF0BzAdwI7xxyFRMEwMi6gzvS5kvhFgkbT5GRIOFEFVSlaxG2l6BwBLXUACVAH4IYAIRPQagJ4AuUmPSdgB/kML+KsLxPoQQdUS0Dt6qXFQxsIr9Qgj5u4aIFsPrvogoBlaxXWIygF1CiGORbLbqPQghPgTwoWTTn6WwlrFdCKH78oA62e8fd0uktHcFEQ0A8J4U9jnp+B8FHb/OCXYLIVqkBugpsIAYmNJQAa9qfgrg70Hb5yCwMecV6fdtCGzMyVY454MI34g2BoENgCXwNgAOBNBXCtMNwEYAt9vI/h4AeklhegDYAmCSHWz3278QwEN2jD/SvkHS93AAByA1ElrFdpX3F0sDsi72w9uomib9HgCgCMBohev1A1AqhT9L+t0vVvutYje8wj1YCpMK4HMAj8cS/436mHNRb+8GAWAvgD3S51YA/QGskR7wGvmlSy/kLXh7ceQByIw1QQCYJR1fCGCytO0yALslO/IBPGcz+8+HN5PKBbAPwCy72C5t7w7gBIA+dow/0vaNAPZL72CiRW0/DOAkvK6sCkiZF7w9aSoAeKTv5xNlP4BrpP+50vfDEa75S3gb7YvhV3CIxX6r2A1vg/8OyY59AP4BIDWW+G/Uh0cgMwzDMOb3JmIYhmHMh8WAYRiGYTFgGIZhWAwYhmEYsBgwDMMwYDFgGIZhwGLAMAzDgMWAYRiGAfB/HZWTvIO+vIIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df['C6H6(GT)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x7fb697f61710>,\n",
       "  <matplotlib.lines.Line2D at 0x7fb697f61a58>,\n",
       "  <matplotlib.lines.Line2D at 0x7fb697eeeeb8>,\n",
       "  <matplotlib.lines.Line2D at 0x7fb697eeef98>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x7fb697f61da0>,\n",
       "  <matplotlib.lines.Line2D at 0x7fb697f61e80>,\n",
       "  <matplotlib.lines.Line2D at 0x7fb697ef9588>,\n",
       "  <matplotlib.lines.Line2D at 0x7fb697ef98d0>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x7fb697f61358>,\n",
       "  <matplotlib.lines.Line2D at 0x7fb697eeeb70>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x7fb697eee470>,\n",
       "  <matplotlib.lines.Line2D at 0x7fb697ef9c18>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x7fb697eee7b8>,\n",
       "  <matplotlib.lines.Line2D at 0x7fb697ef9f60>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(df[['T','C6H6(GT)']].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}