tutorial/02_tutorial_first_functions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Describing the functionality of pandas and the basic functions from the face2face library\n",
    "\n",
    "**Authors**: Andreas Kruff, Johann Schaible, Marcos Oliveira\n",
    "\n",
    "**Version**: 12.05.2020\n",
    "\n",
    "**Description**: This tutorial describes the underlying pandas methods that are used to build the face2face methods for the face-to-face interaction durations of this toolbox."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data sets that are used in this tutorial are part of the following paper:\n",
    "\n",
    "**Génois, Mathieu & Zens, Maria & Lechner, Clemens & Rammstedt, Beatrice & Strohmaier, Markus. (2019). Building connections: How scientists meet each other during a conference.**\n",
    "\n",
    "The data sets are available here: \n",
    "\n",
    "https://zenodo.org/record/2531537#.X0OObcgzaUl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "#### [Implement the contact duration function](#contact_duration)\n",
    "#### [Implement the triangle duration function](#triangle_duration)\n",
    "#### [Implement the inter-contact duration function](#inter-contact_duration)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explanation of the distribution methods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A very basic method to analyze tij-data sets is to measure the probability distribution for contact durations of the given data set. To do so you need to know how to interpret the data. For the creating of the tij data sets, that are included in this library, RFID chips were used which exchanged packages among themselves, when two people with RFID chips stood in front of each other in a close range. If a whole package got exchanged between two RFID chips this occurence becomes a part of the data set. This was used to filter real contacts from random encounters."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to implement the calculate_contact_duration function \n",
    "<a name=\"contact_duration\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this reason you have to prepare the data set with the help of python and pandas methods to be able to analyze the data set in terms of its distribution. The next steps will show how the function \"calculate_contact_duration\" prepares the data set to measure the probability, but at first we have to import a data set to work with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import face2face as f2f\n",
    "\n",
    "df = f2f.Data(\"WS16\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see below we imported the data set \"WS16\" as a Data object, which means it can contain up to two dataframes. With .interaction you can access the tij dataframe and with .metadata you can access the metadata, if they are provided. With that being said, we can use the Data object and the dataframes for the further analysis. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "face2face.imports.load_all_data.Data"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When you take a look at the first 25 entrys of this tij-data set you can see that the two people with ID 125 and ID 130 talked two times for this extract. The data set shows that they talked at timestamp 1480486100, which means they talked from 1480486080 to 1480486100 for at least 20 seconds and for a maximum of 39 seconds. At timestamp 1480486160 you can see another contact between this two people, but if the difference between two timestamps is bigger than 20 seconds it means that there was a break in there conversation. This means that if the difference is 20 seconds you have to accumulate the interaction durations until the difference is bigger than 20 seconds. This is the main part of this function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1480486100</td>\n",
       "      <td>125</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1480486100</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1480486100</td>\n",
       "      <td>9</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1480486120</td>\n",
       "      <td>9</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1480486160</td>\n",
       "      <td>125</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1480486180</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1480486200</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1480486200</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1480486220</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1480486240</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1480486240</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1480486240</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1480486260</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1480486260</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1480486280</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1480486280</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1480486300</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1480486300</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1480486320</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1480486320</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1480486340</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1480486340</td>\n",
       "      <td>7</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1480486340</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1480486360</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1480486360</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Time    i    j\n",
       "Index                      \n",
       "0      1480486100  125  130\n",
       "1      1480486100    7  130\n",
       "2      1480486100    9  110\n",
       "3      1480486120    9  130\n",
       "4      1480486160  125  130\n",
       "5      1480486180    9   21\n",
       "6      1480486200    9   21\n",
       "7      1480486200    7  130\n",
       "8      1480486220    9   21\n",
       "9      1480486240    9   21\n",
       "10     1480486240    7  130\n",
       "11     1480486240  125   21\n",
       "12     1480486260  125   21\n",
       "13     1480486260    7  130\n",
       "14     1480486280  125   21\n",
       "15     1480486280    7  130\n",
       "16     1480486300  125   21\n",
       "17     1480486300    7  130\n",
       "18     1480486320  125   21\n",
       "19     1480486320    7  130\n",
       "20     1480486340  125   21\n",
       "21     1480486340    7  110\n",
       "22     1480486340    7  130\n",
       "23     1480486360  125   21\n",
       "24     1480486360    7  130"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.interaction.head(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get a first overview of all contact compositions you can use the sort_values function from pandas and sort the data sets by ID i and j. Although it is not necessary for the calculations to sort it at the beginning, you can see the ongoing interactions a lot better in the output if you sort them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "      <th>diff</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>107076</th>\n",
       "      <td>1480583020</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124647</th>\n",
       "      <td>1480589960</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136534</th>\n",
       "      <td>1480592120</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2160.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2519</th>\n",
       "      <td>1480489180</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22905</th>\n",
       "      <td>1480501800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>12620.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27137</th>\n",
       "      <td>1480502720</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>920.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45978</th>\n",
       "      <td>1480509360</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6640.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45991</th>\n",
       "      <td>1480509380</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46026</th>\n",
       "      <td>1480509440</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46043</th>\n",
       "      <td>1480509460</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46068</th>\n",
       "      <td>1480509500</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46078</th>\n",
       "      <td>1480509520</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46091</th>\n",
       "      <td>1480509540</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46130</th>\n",
       "      <td>1480509600</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46142</th>\n",
       "      <td>1480509620</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46187</th>\n",
       "      <td>1480509700</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46202</th>\n",
       "      <td>1480509720</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46215</th>\n",
       "      <td>1480509740</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46226</th>\n",
       "      <td>1480509760</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46240</th>\n",
       "      <td>1480509780</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46254</th>\n",
       "      <td>1480509800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46268</th>\n",
       "      <td>1480509820</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46279</th>\n",
       "      <td>1480509840</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46295</th>\n",
       "      <td>1480509860</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46306</th>\n",
       "      <td>1480509880</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Time  i   j        diff\n",
       "Index                                \n",
       "107076  1480583020  0  26         nan\n",
       "124647  1480589960  1   0         nan\n",
       "136534  1480592120  1   0  2160.00000\n",
       "2519    1480489180  1   2         nan\n",
       "22905   1480501800  1   2 12620.00000\n",
       "27137   1480502720  1   2   920.00000\n",
       "45978   1480509360  1   2  6640.00000\n",
       "45991   1480509380  1   2    20.00000\n",
       "46026   1480509440  1   2    60.00000\n",
       "46043   1480509460  1   2    20.00000\n",
       "46068   1480509500  1   2    40.00000\n",
       "46078   1480509520  1   2    20.00000\n",
       "46091   1480509540  1   2    20.00000\n",
       "46130   1480509600  1   2    60.00000\n",
       "46142   1480509620  1   2    20.00000\n",
       "46187   1480509700  1   2    80.00000\n",
       "46202   1480509720  1   2    20.00000\n",
       "46215   1480509740  1   2    20.00000\n",
       "46226   1480509760  1   2    20.00000\n",
       "46240   1480509780  1   2    20.00000\n",
       "46254   1480509800  1   2    20.00000\n",
       "46268   1480509820  1   2    20.00000\n",
       "46279   1480509840  1   2    20.00000\n",
       "46295   1480509860  1   2    20.00000\n",
       "46306   1480509880  1   2    20.00000"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tij_data_sorted = df.interaction.sort_values(by=[\"i\", \"j\"])\n",
    "tij_data_sorted.head(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a next step we need to get the differences between every timestamp where the same two people talked to each other. To get that you can use the groupby functions from pandas to get all timestamps for every pair of contacts. With the .diff() function that we also used in the previous tutorial you can measure the difference between every timestamp and the previous timestamp. The output of this construct is a list that we attached to our dataframe with the column name \"diff\". As you can see there are a lot of 20 seconds differences but also some \"nan\" values. This \"nan\" values exist because there is always a first occurence of two people talking to each other and then there are no previous timestamps to measure the difference with. This means that this two people have talked for 20 seconds so far."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "tij_data_sorted[\"diff\"] = tij_data_sorted.groupby([\"i\", \"j\"])[\"Time\"].diff()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "      <th>diff</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>107076</th>\n",
       "      <td>1480583020</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124647</th>\n",
       "      <td>1480589960</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136534</th>\n",
       "      <td>1480592120</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2160.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2519</th>\n",
       "      <td>1480489180</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22905</th>\n",
       "      <td>1480501800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>12620.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27137</th>\n",
       "      <td>1480502720</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>920.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45978</th>\n",
       "      <td>1480509360</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6640.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45991</th>\n",
       "      <td>1480509380</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46026</th>\n",
       "      <td>1480509440</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46043</th>\n",
       "      <td>1480509460</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46068</th>\n",
       "      <td>1480509500</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46078</th>\n",
       "      <td>1480509520</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46091</th>\n",
       "      <td>1480509540</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46130</th>\n",
       "      <td>1480509600</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46142</th>\n",
       "      <td>1480509620</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46187</th>\n",
       "      <td>1480509700</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46202</th>\n",
       "      <td>1480509720</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46215</th>\n",
       "      <td>1480509740</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46226</th>\n",
       "      <td>1480509760</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46240</th>\n",
       "      <td>1480509780</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46254</th>\n",
       "      <td>1480509800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46268</th>\n",
       "      <td>1480509820</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46279</th>\n",
       "      <td>1480509840</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46295</th>\n",
       "      <td>1480509860</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46306</th>\n",
       "      <td>1480509880</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Time  i   j        diff\n",
       "Index                                \n",
       "107076  1480583020  0  26         nan\n",
       "124647  1480589960  1   0         nan\n",
       "136534  1480592120  1   0  2160.00000\n",
       "2519    1480489180  1   2         nan\n",
       "22905   1480501800  1   2 12620.00000\n",
       "27137   1480502720  1   2   920.00000\n",
       "45978   1480509360  1   2  6640.00000\n",
       "45991   1480509380  1   2    20.00000\n",
       "46026   1480509440  1   2    60.00000\n",
       "46043   1480509460  1   2    20.00000\n",
       "46068   1480509500  1   2    40.00000\n",
       "46078   1480509520  1   2    20.00000\n",
       "46091   1480509540  1   2    20.00000\n",
       "46130   1480509600  1   2    60.00000\n",
       "46142   1480509620  1   2    20.00000\n",
       "46187   1480509700  1   2    80.00000\n",
       "46202   1480509720  1   2    20.00000\n",
       "46215   1480509740  1   2    20.00000\n",
       "46226   1480509760  1   2    20.00000\n",
       "46240   1480509780  1   2    20.00000\n",
       "46254   1480509800  1   2    20.00000\n",
       "46268   1480509820  1   2    20.00000\n",
       "46279   1480509840  1   2    20.00000\n",
       "46295   1480509860  1   2    20.00000\n",
       "46306   1480509880  1   2    20.00000"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tij_data_sorted.head(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our goal is to get the contact durations, so we need to accumulate all rows for every contact pair that have a difference from 20 seconds to the previous timestamp to get the contact durations. For that we have to create a list with markers, zero for nan values or 20 seconds and one for values that are bigger than 20 seconds. The zero indicates the first occurence of a contact between two individuals or an ongoing conversation, we want to make use of this by calculating the cumulative sum as the next step. This allows us to differentiate all the ongoing interactions between two individuals. When you build the cumulative sum all the ones are marking a new starting interaction between the two same individuals, so we know which rows stick together to one consecutive conversation, because just the marker for the differences bigger than 20 seconds affect the cumulative sum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "marker_list = []\n",
    "for key, value in tij_data_sorted.iterrows():\n",
    "    if value[\"diff\"] > 20:\n",
    "        marker_list.append(1)\n",
    "    else:\n",
    "        marker_list.append(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "      <th>diff</th>\n",
       "      <th>Marker</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>107076</th>\n",
       "      <td>1480583020</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124647</th>\n",
       "      <td>1480589960</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136534</th>\n",
       "      <td>1480592120</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2160.00000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2519</th>\n",
       "      <td>1480489180</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22905</th>\n",
       "      <td>1480501800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>12620.00000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27137</th>\n",
       "      <td>1480502720</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>920.00000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45978</th>\n",
       "      <td>1480509360</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6640.00000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45991</th>\n",
       "      <td>1480509380</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46026</th>\n",
       "      <td>1480509440</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>60.00000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46043</th>\n",
       "      <td>1480509460</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46068</th>\n",
       "      <td>1480509500</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>40.00000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46078</th>\n",
       "      <td>1480509520</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46091</th>\n",
       "      <td>1480509540</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46130</th>\n",
       "      <td>1480509600</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>60.00000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46142</th>\n",
       "      <td>1480509620</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46187</th>\n",
       "      <td>1480509700</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>80.00000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46202</th>\n",
       "      <td>1480509720</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46215</th>\n",
       "      <td>1480509740</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46226</th>\n",
       "      <td>1480509760</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46240</th>\n",
       "      <td>1480509780</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46254</th>\n",
       "      <td>1480509800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46268</th>\n",
       "      <td>1480509820</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46279</th>\n",
       "      <td>1480509840</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46295</th>\n",
       "      <td>1480509860</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46306</th>\n",
       "      <td>1480509880</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Time  i   j        diff  Marker\n",
       "Index                                        \n",
       "107076  1480583020  0  26         nan       0\n",
       "124647  1480589960  1   0         nan       0\n",
       "136534  1480592120  1   0  2160.00000       1\n",
       "2519    1480489180  1   2         nan       0\n",
       "22905   1480501800  1   2 12620.00000       1\n",
       "27137   1480502720  1   2   920.00000       1\n",
       "45978   1480509360  1   2  6640.00000       1\n",
       "45991   1480509380  1   2    20.00000       0\n",
       "46026   1480509440  1   2    60.00000       1\n",
       "46043   1480509460  1   2    20.00000       0\n",
       "46068   1480509500  1   2    40.00000       1\n",
       "46078   1480509520  1   2    20.00000       0\n",
       "46091   1480509540  1   2    20.00000       0\n",
       "46130   1480509600  1   2    60.00000       1\n",
       "46142   1480509620  1   2    20.00000       0\n",
       "46187   1480509700  1   2    80.00000       1\n",
       "46202   1480509720  1   2    20.00000       0\n",
       "46215   1480509740  1   2    20.00000       0\n",
       "46226   1480509760  1   2    20.00000       0\n",
       "46240   1480509780  1   2    20.00000       0\n",
       "46254   1480509800  1   2    20.00000       0\n",
       "46268   1480509820  1   2    20.00000       0\n",
       "46279   1480509840  1   2    20.00000       0\n",
       "46295   1480509860  1   2    20.00000       0\n",
       "46306   1480509880  1   2    20.00000       0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tij_data_sorted[\"Marker\"] = marker_list\n",
    "tij_data_sorted.head(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Right after we attach the marker list to the dataframe we can create the already mentioned cumulative sum from the marker column as a new column. With the help of the cumulative sum you can identify every ongoing conversation, because it has the same number in the new \"Ind\"(Index) column. That the first two rows have the same \"Ind\" index, altough its not an ongoing conversation is no problem because we can use the ID's as well to unambigiously describe a conversation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "      <th>diff</th>\n",
       "      <th>Marker</th>\n",
       "      <th>Ind</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>107076</th>\n",
       "      <td>1480583020</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124647</th>\n",
       "      <td>1480589960</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136534</th>\n",
       "      <td>1480592120</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2160.00000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2519</th>\n",
       "      <td>1480489180</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22905</th>\n",
       "      <td>1480501800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>12620.00000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27137</th>\n",
       "      <td>1480502720</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>920.00000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45978</th>\n",
       "      <td>1480509360</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6640.00000</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45991</th>\n",
       "      <td>1480509380</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46026</th>\n",
       "      <td>1480509440</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>60.00000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46043</th>\n",
       "      <td>1480509460</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46068</th>\n",
       "      <td>1480509500</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>40.00000</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46078</th>\n",
       "      <td>1480509520</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46091</th>\n",
       "      <td>1480509540</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46130</th>\n",
       "      <td>1480509600</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>60.00000</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46142</th>\n",
       "      <td>1480509620</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46187</th>\n",
       "      <td>1480509700</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>80.00000</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46202</th>\n",
       "      <td>1480509720</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46215</th>\n",
       "      <td>1480509740</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46226</th>\n",
       "      <td>1480509760</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46240</th>\n",
       "      <td>1480509780</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46254</th>\n",
       "      <td>1480509800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46268</th>\n",
       "      <td>1480509820</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46279</th>\n",
       "      <td>1480509840</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46295</th>\n",
       "      <td>1480509860</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46306</th>\n",
       "      <td>1480509880</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Time  i   j        diff  Marker  Ind\n",
       "Index                                             \n",
       "107076  1480583020  0  26         nan       0    0\n",
       "124647  1480589960  1   0         nan       0    0\n",
       "136534  1480592120  1   0  2160.00000       1    1\n",
       "2519    1480489180  1   2         nan       0    1\n",
       "22905   1480501800  1   2 12620.00000       1    2\n",
       "27137   1480502720  1   2   920.00000       1    3\n",
       "45978   1480509360  1   2  6640.00000       1    4\n",
       "45991   1480509380  1   2    20.00000       0    4\n",
       "46026   1480509440  1   2    60.00000       1    5\n",
       "46043   1480509460  1   2    20.00000       0    5\n",
       "46068   1480509500  1   2    40.00000       1    6\n",
       "46078   1480509520  1   2    20.00000       0    6\n",
       "46091   1480509540  1   2    20.00000       0    6\n",
       "46130   1480509600  1   2    60.00000       1    7\n",
       "46142   1480509620  1   2    20.00000       0    7\n",
       "46187   1480509700  1   2    80.00000       1    8\n",
       "46202   1480509720  1   2    20.00000       0    8\n",
       "46215   1480509740  1   2    20.00000       0    8\n",
       "46226   1480509760  1   2    20.00000       0    8\n",
       "46240   1480509780  1   2    20.00000       0    8\n",
       "46254   1480509800  1   2    20.00000       0    8\n",
       "46268   1480509820  1   2    20.00000       0    8\n",
       "46279   1480509840  1   2    20.00000       0    8\n",
       "46295   1480509860  1   2    20.00000       0    8\n",
       "46306   1480509880  1   2    20.00000       0    8"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tij_data_sorted[\"Ind\"] = tij_data_sorted[\"Marker\"].cumsum()\n",
    "tij_data_sorted.head(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With that being said we can again use the groupby function and use .size() to count how often a combination of the same \"Ind\", \"i\" and \"j\" row occur and create a new column \"Number\" for this amount."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ind</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "      <th>Number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Ind  i   j  Number\n",
       "0     0  0  26       1\n",
       "1     0  1   0       1\n",
       "2     1  1   0       1\n",
       "3     1  1   2       1\n",
       "4     2  1   2       1\n",
       "5     3  1   2       1\n",
       "6     4  1   2       2\n",
       "7     5  1   2       2\n",
       "8     6  1   2       3\n",
       "9     7  1   2       2\n",
       "10    8  1   2      47\n",
       "11    9  1   2       1\n",
       "12   10  1   2       3\n",
       "13   11  1   2       1\n",
       "14   12  1   2       1\n",
       "15   13  1   2       1\n",
       "16   14  1   2       1\n",
       "17   15  1   2       1\n",
       "18   16  1   2       1\n",
       "19   17  1   2       1\n",
       "20   18  1   2       1\n",
       "21   19  1   2       2\n",
       "22   20  1   2       1\n",
       "23   21  1   2       1\n",
       "24   21  1   3       1"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tij_data_sorted = tij_data_sorted.groupby([\"Ind\", \"i\", \"j\"]).size().reset_index(name=\"Number\")\n",
    "tij_data_sorted.head(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can use the amount of rows for a unique \"Ind\",\"i\" and \"j\" setup to calculate the contact duration. Every row with this setup means 20 more seconds of conversation, so we just have to multiply the \"Number\" column to get the contact duration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "delta_t_list = []\n",
    "for key, value in tij_data_sorted.iterrows():\n",
    "    delta_t = value[\"Number\"] * 20\n",
    "    delta_t_list.append(delta_t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After that we can attach the list of contact duration to the dataframe and with the help of groupby and .size() we can count the occurence of the different $\\Delta t$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DeltaT</th>\n",
       "      <th>AmountOfDeltaT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20</td>\n",
       "      <td>34057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40</td>\n",
       "      <td>8230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>3186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80</td>\n",
       "      <td>1780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>1132</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   DeltaT  AmountOfDeltaT\n",
       "0      20           34057\n",
       "1      40            8230\n",
       "2      60            3186\n",
       "3      80            1780\n",
       "4     100            1132"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tij_data_sorted[\"DeltaT\"] = delta_t_list\n",
    "\n",
    "tij_amount_delta_t = tij_data_sorted.groupby(\"DeltaT\").size().reset_index(name=\"AmountOfDeltaT\")\n",
    "tij_amount_delta_t.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To measure the total amount of conversations in this data set we can accumulate the \"AmountOfDeltaT\" column. We need this to calculate the probability for the different contact durations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "cumulated_contacts = 0\n",
    "for key, value in tij_amount_delta_t.iterrows():\n",
    "    cumulated_contacts += value[\"AmountOfDeltaT\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_delta_t = tij_amount_delta_t[\"DeltaT\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get the probabilitys for all the possible contact durations you have to divide the amount of the occurence of the contact durations through the total amount of contacts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_probability = []\n",
    "for key, value in tij_amount_delta_t.iterrows():\n",
    "    y_probability.append(value[\"AmountOfDeltaT\"]/cumulated_contacts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to implement the calculate_triangle_duration function \n",
    "<a name=\"triangle_duration\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the triangle duration you need to prepare the data set in a way that you can see if one person talked with at least two different persons at the same timestamp. So the first step would be to use the merge function of pandas to merge the tij together with itself by the parameters \"Time\" and \"Time\" and by the ID's \"i\" and \"j\". The output is a dataframe that contains rows with two pairs where one person is included in both conversations at the same time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>i_x</th>\n",
       "      <th>j_x</th>\n",
       "      <th>i_y</th>\n",
       "      <th>j_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1480486400</td>\n",
       "      <td>110</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1480486440</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1480486460</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1480486560</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1480486580</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1480486680</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1480486680</td>\n",
       "      <td>110</td>\n",
       "      <td>76</td>\n",
       "      <td>40</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1480486700</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1480486720</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1480486740</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1480486760</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1480486780</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1480486800</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1480486800</td>\n",
       "      <td>76</td>\n",
       "      <td>120</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1480486820</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Time  i_x  j_x  i_y  j_y\n",
       "0   1480486400  110  130    7  110\n",
       "1   1480486440    9   21  125    9\n",
       "2   1480486460    9   21  125    9\n",
       "3   1480486560   21  120  125   21\n",
       "4   1480486580   21  120  125   21\n",
       "5   1480486680    9   21  125    9\n",
       "6   1480486680  110   76   40  110\n",
       "7   1480486700    9   21  125    9\n",
       "8   1480486720    9   21  125    9\n",
       "9   1480486740    9   21  125    9\n",
       "10  1480486760    9   21  125    9\n",
       "11  1480486780    9   21  125    9\n",
       "12  1480486800    9   21  125    9\n",
       "13  1480486800   76  120   40   76\n",
       "14  1480486820    9   21  125    9"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge_1 = df.interaction.merge(df.interaction, left_on=[\"Time\", \"i\"], right_on=[\"Time\", \"j\"])\n",
    "df_merge_1.head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To proof that this three people stood in front of each other and talked with each other at the same time you have to add the original dataframe on the dataframe again by merging it with the \"Time\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>i_x</th>\n",
       "      <th>j_x</th>\n",
       "      <th>i_y</th>\n",
       "      <th>j_y</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1480486400</td>\n",
       "      <td>110</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>110</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1480486400</td>\n",
       "      <td>110</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1480486400</td>\n",
       "      <td>110</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>110</td>\n",
       "      <td>7</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1480486400</td>\n",
       "      <td>110</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>110</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1480486440</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1480486440</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1480486440</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1480486460</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1480486460</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1480486460</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1480486560</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1480486560</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1480486560</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1480486580</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1480486580</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Time  i_x  j_x  i_y  j_y    i    j\n",
       "0   1480486400  110  130    7  110  125   21\n",
       "1   1480486400  110  130    7  110  110  130\n",
       "2   1480486400  110  130    7  110    7  110\n",
       "3   1480486400  110  130    7  110    7  130\n",
       "4   1480486440    9   21  125    9    9   21\n",
       "5   1480486440    9   21  125    9  125    9\n",
       "6   1480486440    9   21  125    9  125   21\n",
       "7   1480486460    9   21  125    9    9   21\n",
       "8   1480486460    9   21  125    9  125    9\n",
       "9   1480486460    9   21  125    9  125   21\n",
       "10  1480486560   21  120  125   21   21  120\n",
       "11  1480486560   21  120  125   21  125   21\n",
       "12  1480486560   21  120  125   21   77  110\n",
       "13  1480486580   21  120  125   21  125    9\n",
       "14  1480486580   21  120  125   21   21  120"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge_2 = df_merge_1.merge(df.interaction, left_on=[\"Time\"], right_on=[\"Time\"])\n",
    "df_merge_2.head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you have to filter the rows from the dataframe that are real triangles. To do so we check if this six columns of i and j include every id two times with every possible combination in a triangle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>i_x</th>\n",
       "      <th>j_x</th>\n",
       "      <th>i_y</th>\n",
       "      <th>j_y</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1480486400</td>\n",
       "      <td>110</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>110</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1480486440</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1480486460</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1480486580</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1480486680</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1480486700</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1480486720</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1480486740</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1480486760</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1480486780</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>1480486800</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1480486800</td>\n",
       "      <td>76</td>\n",
       "      <td>120</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>40</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1480486820</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1480487020</td>\n",
       "      <td>130</td>\n",
       "      <td>120</td>\n",
       "      <td>21</td>\n",
       "      <td>130</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>1480487020</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Time  i_x  j_x  i_y  j_y    i    j\n",
       "3   1480486400  110  130    7  110    7  130\n",
       "6   1480486440    9   21  125    9  125   21\n",
       "9   1480486460    9   21  125    9  125   21\n",
       "17  1480486580   21  120  125   21  125  120\n",
       "21  1480486680    9   21  125    9  125   21\n",
       "33  1480486700    9   21  125    9  125   21\n",
       "37  1480486720    9   21  125    9  125   21\n",
       "43  1480486740    9   21  125    9  125   21\n",
       "46  1480486760    9   21  125    9  125   21\n",
       "51  1480486780    9   21  125    9  125   21\n",
       "59  1480486800    9   21  125    9  125   21\n",
       "64  1480486800   76  120   40   76   40  120\n",
       "70  1480486820    9   21  125    9  125   21\n",
       "89  1480487020  130  120   21  130   21  120\n",
       "97  1480487020   21  120   77   21   77  120"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter_triangle = df_merge_2[(df_merge_2[\"i_x\"] == df_merge_2[\"j_y\"])\n",
    "                                & (df_merge_2[\"j_x\"] == df_merge_2[\"j\"])\n",
    "                                & (df_merge_2[\"i_y\"] == df_merge_2[\"i\"])]\n",
    "df_filter_triangle.head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Like in the previous tutorial for the contact_duration you have to calculate the differences between the timestamps for the triangles you found."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>i_x</th>\n",
       "      <th>j_x</th>\n",
       "      <th>i_y</th>\n",
       "      <th>j_y</th>\n",
       "      <th>i</th>\n",
       "      <th>j</th>\n",
       "      <th>Diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1480486400</td>\n",
       "      <td>110</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>110</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1480486440</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1480486460</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1480486580</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1480486680</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>220.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1480486700</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1480486720</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1480486740</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1480486760</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1480486780</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>1480486800</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1480486800</td>\n",
       "      <td>76</td>\n",
       "      <td>120</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>40</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1480486820</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1480487020</td>\n",
       "      <td>130</td>\n",
       "      <td>120</td>\n",
       "      <td>21</td>\n",
       "      <td>130</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>1480487020</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>1480487040</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>120</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>1480487040</td>\n",
       "      <td>21</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>1480487060</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>76</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>1480487060</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>120</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>1480487060</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>1480487060</td>\n",
       "      <td>130</td>\n",
       "      <td>120</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>1480487060</td>\n",
       "      <td>76</td>\n",
       "      <td>120</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>1480487060</td>\n",
       "      <td>76</td>\n",
       "      <td>120</td>\n",
       "      <td>7</td>\n",
       "      <td>76</td>\n",
       "      <td>7</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>1480487080</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>120</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>1480487100</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>76</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>1480487240</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>1480487260</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>1480487280</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>460.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>1480487280</td>\n",
       "      <td>9</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>1480487300</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>1480487320</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>1480487340</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>1480487360</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>1480487360</td>\n",
       "      <td>9</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>1480487360</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>100.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>1480487360</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>114</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>1480487380</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>1480487380</td>\n",
       "      <td>9</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>1480487380</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>1480487380</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>114</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>1480487400</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>1480487400</td>\n",
       "      <td>9</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>1480487400</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>1480487400</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>114</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>1480487420</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>1480487420</td>\n",
       "      <td>9</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>1480487420</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>1480487420</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>114</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>1480487440</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>1480487460</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>125</td>\n",
       "      <td>21</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>1480487500</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>114</td>\n",
       "      <td>76</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>1480487600</td>\n",
       "      <td>125</td>\n",
       "      <td>110</td>\n",
       "      <td>77</td>\n",
       "      <td>125</td>\n",
       "      <td>77</td>\n",
       "      <td>110</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>1480487660</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>114</td>\n",
       "      <td>76</td>\n",
       "      <td>160.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>1480487680</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>114</td>\n",
       "      <td>76</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>1480487700</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>114</td>\n",
       "      <td>76</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>1480487760</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>1480487780</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593</th>\n",
       "      <td>1480487780</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>1480487780</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>1480487780</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>1480487800</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>1480487800</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>1480487800</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>1480487800</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>663</th>\n",
       "      <td>1480487800</td>\n",
       "      <td>54</td>\n",
       "      <td>120</td>\n",
       "      <td>135</td>\n",
       "      <td>54</td>\n",
       "      <td>135</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1480487820</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>1480487820</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>703</th>\n",
       "      <td>1480487820</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>708</th>\n",
       "      <td>1480487820</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>721</th>\n",
       "      <td>1480487840</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>737</th>\n",
       "      <td>1480487840</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>830</th>\n",
       "      <td>1480487840</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>857</th>\n",
       "      <td>1480487840</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>1480487840</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>893</th>\n",
       "      <td>1480487840</td>\n",
       "      <td>76</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>76</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>901</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>914</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>960</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1007</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1012</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>1480487860</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1043</th>\n",
       "      <td>1480487880</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1052</th>\n",
       "      <td>1480487880</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1083</th>\n",
       "      <td>1480487880</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1098</th>\n",
       "      <td>1480487880</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>1480487880</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1129</th>\n",
       "      <td>1480487880</td>\n",
       "      <td>76</td>\n",
       "      <td>130</td>\n",
       "      <td>7</td>\n",
       "      <td>76</td>\n",
       "      <td>7</td>\n",
       "      <td>130</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1143</th>\n",
       "      <td>1480487900</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1168</th>\n",
       "      <td>1480487900</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1190</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1240</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1255</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>1480487920</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1312</th>\n",
       "      <td>1480487940</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1330</th>\n",
       "      <td>1480487940</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1345</th>\n",
       "      <td>1480487940</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1381</th>\n",
       "      <td>1480487940</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1444</th>\n",
       "      <td>1480487940</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1490</th>\n",
       "      <td>1480487940</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1497</th>\n",
       "      <td>1480487940</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1548</th>\n",
       "      <td>1480487940</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1578</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1588</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1622</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1640</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1660</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1710</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1721</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1772</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1778</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>113</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1801</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1820</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1862</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1873</th>\n",
       "      <td>1480487960</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1898</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1914</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1937</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2039</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2050</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2064</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2093</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2123</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2145</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2159</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2181</th>\n",
       "      <td>1480487980</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>114</td>\n",
       "      <td>21</td>\n",
       "      <td>114</td>\n",
       "      <td>76</td>\n",
       "      <td>280.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2204</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2267</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2285</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2305</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2317</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2360</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2393</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2407</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2426</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2469</th>\n",
       "      <td>1480488000</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2509</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2528</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2544</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2578</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2598</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2609</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>117</td>\n",
       "      <td>13</td>\n",
       "      <td>117</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2654</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2685</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>117</td>\n",
       "      <td>13</td>\n",
       "      <td>117</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2723</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2771</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2807</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>100.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2838</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2874</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>117</td>\n",
       "      <td>66</td>\n",
       "      <td>117</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2885</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2937</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>117</td>\n",
       "      <td>62</td>\n",
       "      <td>117</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2974</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>117</td>\n",
       "      <td>62</td>\n",
       "      <td>117</td>\n",
       "      <td>13</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2991</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3050</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>117</td>\n",
       "      <td>62</td>\n",
       "      <td>117</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3082</th>\n",
       "      <td>1480488020</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3098</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3118</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3134</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3164</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>117</td>\n",
       "      <td>62</td>\n",
       "      <td>117</td>\n",
       "      <td>13</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3242</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>117</td>\n",
       "      <td>62</td>\n",
       "      <td>117</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3271</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3284</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>117</td>\n",
       "      <td>13</td>\n",
       "      <td>117</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3309</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>13</td>\n",
       "      <td>137</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>137</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3349</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3396</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3443</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3501</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3512</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3580</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3594</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>137</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>137</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3628</th>\n",
       "      <td>1480488040</td>\n",
       "      <td>137</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>137</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3644</th>\n",
       "      <td>1480488060</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3674</th>\n",
       "      <td>1480488060</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3683</th>\n",
       "      <td>1480488060</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3879</th>\n",
       "      <td>1480488060</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3893</th>\n",
       "      <td>1480488060</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3915</th>\n",
       "      <td>1480488060</td>\n",
       "      <td>117</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3944</th>\n",
       "      <td>1480488060</td>\n",
       "      <td>117</td>\n",
       "      <td>96</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>96</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3954</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4035</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4067</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>117</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4101</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4116</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4142</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>113</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>120.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4170</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4227</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4248</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4266</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4286</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>100.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4334</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>100.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4368</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4397</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>13</td>\n",
       "      <td>96</td>\n",
       "      <td>117</td>\n",
       "      <td>13</td>\n",
       "      <td>117</td>\n",
       "      <td>96</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4489</th>\n",
       "      <td>1480488080</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>117</td>\n",
       "      <td>13</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4555</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4569</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4594</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4629</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4647</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4678</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4761</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4810</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4819</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4859</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4881</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>120.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4937</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>2</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4983</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5022</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>2</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5071</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5085</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5157</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5195</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5200</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>2</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5236</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5261</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5345</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5377</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5425</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5439</th>\n",
       "      <td>1480488100</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5473</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5520</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>113</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5553</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5570</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>62</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5646</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5690</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>13</td>\n",
       "      <td>137</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>137</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5740</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>13</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5759</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5810</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>115</td>\n",
       "      <td>13</td>\n",
       "      <td>115</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5889</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>2</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5922</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5996</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6050</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>113</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6069</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>66</td>\n",
       "      <td>113</td>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>2</td>\n",
       "      <td>113</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6110</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>115</td>\n",
       "      <td>66</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6141</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>66</td>\n",
       "      <td>133</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>133</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6219</th>\n",
       "      <td>1480488120</td>\n",
       "      <td>137</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>137</td>\n",
       "      <td>13</td>\n",
       "      <td>66</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6365</th>\n",
       "      <td>1480488140</td>\n",
       "      <td>115</td>\n",
       "      <td>133</td>\n",
       "      <td>117</td>\n",
       "      <td>115</td>\n",
       "      <td>117</td>\n",
       "      <td>133</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12976377</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12976410</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12976425</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>20</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12976481</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12976516</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>20</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12976533</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12976637</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>77</td>\n",
       "      <td>39</td>\n",
       "      <td>80</td>\n",
       "      <td>77</td>\n",
       "      <td>80</td>\n",
       "      <td>39</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12976805</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>77</td>\n",
       "      <td>28</td>\n",
       "      <td>105</td>\n",
       "      <td>77</td>\n",
       "      <td>105</td>\n",
       "      <td>28</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12976952</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>125</td>\n",
       "      <td>39</td>\n",
       "      <td>80</td>\n",
       "      <td>125</td>\n",
       "      <td>80</td>\n",
       "      <td>39</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977017</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977077</th>\n",
       "      <td>1480599040</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977181</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>80</td>\n",
       "      <td>39</td>\n",
       "      <td>105</td>\n",
       "      <td>80</td>\n",
       "      <td>105</td>\n",
       "      <td>39</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977198</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>80</td>\n",
       "      <td>28</td>\n",
       "      <td>105</td>\n",
       "      <td>80</td>\n",
       "      <td>105</td>\n",
       "      <td>28</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977304</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>125</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>125</td>\n",
       "      <td>80</td>\n",
       "      <td>4</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977373</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977408</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977446</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977518</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>117</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>117</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977584</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>39</td>\n",
       "      <td>28</td>\n",
       "      <td>80</td>\n",
       "      <td>39</td>\n",
       "      <td>80</td>\n",
       "      <td>28</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977642</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>39</td>\n",
       "      <td>28</td>\n",
       "      <td>105</td>\n",
       "      <td>39</td>\n",
       "      <td>105</td>\n",
       "      <td>28</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977886</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>77</td>\n",
       "      <td>125</td>\n",
       "      <td>80</td>\n",
       "      <td>77</td>\n",
       "      <td>80</td>\n",
       "      <td>125</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12977942</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>77</td>\n",
       "      <td>39</td>\n",
       "      <td>80</td>\n",
       "      <td>77</td>\n",
       "      <td>80</td>\n",
       "      <td>39</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978014</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978076</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978090</th>\n",
       "      <td>1480599060</td>\n",
       "      <td>4</td>\n",
       "      <td>39</td>\n",
       "      <td>80</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>39</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978174</th>\n",
       "      <td>1480599080</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978196</th>\n",
       "      <td>1480599080</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978206</th>\n",
       "      <td>1480599080</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>20</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978245</th>\n",
       "      <td>1480599080</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978267</th>\n",
       "      <td>1480599080</td>\n",
       "      <td>117</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>117</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978275</th>\n",
       "      <td>1480599080</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978318</th>\n",
       "      <td>1480599080</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978347</th>\n",
       "      <td>1480599100</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978374</th>\n",
       "      <td>1480599100</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978387</th>\n",
       "      <td>1480599100</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>5600.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978418</th>\n",
       "      <td>1480599100</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>20</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978462</th>\n",
       "      <td>1480599100</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978471</th>\n",
       "      <td>1480599100</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978521</th>\n",
       "      <td>1480599100</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978549</th>\n",
       "      <td>1480599100</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>20</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978565</th>\n",
       "      <td>1480599100</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978601</th>\n",
       "      <td>1480599120</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978635</th>\n",
       "      <td>1480599120</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978702</th>\n",
       "      <td>1480599120</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>20</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978746</th>\n",
       "      <td>1480599120</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978773</th>\n",
       "      <td>1480599120</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978803</th>\n",
       "      <td>1480599120</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978830</th>\n",
       "      <td>1480599120</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>20</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978844</th>\n",
       "      <td>1480599120</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978880</th>\n",
       "      <td>1480599120</td>\n",
       "      <td>121</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>121</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>97820.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12978970</th>\n",
       "      <td>1480599140</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>105</td>\n",
       "      <td>119</td>\n",
       "      <td>105</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979129</th>\n",
       "      <td>1480599140</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>20</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979176</th>\n",
       "      <td>1480599140</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979204</th>\n",
       "      <td>1480599140</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979234</th>\n",
       "      <td>1480599140</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>20</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979248</th>\n",
       "      <td>1480599140</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979322</th>\n",
       "      <td>1480599140</td>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>119</td>\n",
       "      <td>51</td>\n",
       "      <td>119</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979344</th>\n",
       "      <td>1480599160</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>83</td>\n",
       "      <td>23</td>\n",
       "      <td>83</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979351</th>\n",
       "      <td>1480599160</td>\n",
       "      <td>20</td>\n",
       "      <td>46</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979362</th>\n",
       "      <td>1480599180</td>\n",
       "      <td>57</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>57</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>420.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979370</th>\n",
       "      <td>1480599220</td>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>105</td>\n",
       "      <td>23</td>\n",
       "      <td>105</td>\n",
       "      <td>46</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979404</th>\n",
       "      <td>1480599240</td>\n",
       "      <td>65</td>\n",
       "      <td>51</td>\n",
       "      <td>117</td>\n",
       "      <td>65</td>\n",
       "      <td>117</td>\n",
       "      <td>51</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979436</th>\n",
       "      <td>1480599260</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>22900.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979451</th>\n",
       "      <td>1480599280</td>\n",
       "      <td>93</td>\n",
       "      <td>57</td>\n",
       "      <td>111</td>\n",
       "      <td>93</td>\n",
       "      <td>111</td>\n",
       "      <td>57</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979475</th>\n",
       "      <td>1480599300</td>\n",
       "      <td>93</td>\n",
       "      <td>57</td>\n",
       "      <td>111</td>\n",
       "      <td>93</td>\n",
       "      <td>111</td>\n",
       "      <td>57</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979488</th>\n",
       "      <td>1480599300</td>\n",
       "      <td>93</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>93</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979497</th>\n",
       "      <td>1480599300</td>\n",
       "      <td>57</td>\n",
       "      <td>110</td>\n",
       "      <td>93</td>\n",
       "      <td>57</td>\n",
       "      <td>93</td>\n",
       "      <td>110</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979508</th>\n",
       "      <td>1480599300</td>\n",
       "      <td>57</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>57</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>120.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979546</th>\n",
       "      <td>1480599340</td>\n",
       "      <td>93</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>93</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979575</th>\n",
       "      <td>1480599340</td>\n",
       "      <td>57</td>\n",
       "      <td>110</td>\n",
       "      <td>93</td>\n",
       "      <td>57</td>\n",
       "      <td>93</td>\n",
       "      <td>110</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979583</th>\n",
       "      <td>1480599360</td>\n",
       "      <td>93</td>\n",
       "      <td>57</td>\n",
       "      <td>111</td>\n",
       "      <td>93</td>\n",
       "      <td>111</td>\n",
       "      <td>57</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979614</th>\n",
       "      <td>1480599360</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>57</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979644</th>\n",
       "      <td>1480599380</td>\n",
       "      <td>93</td>\n",
       "      <td>57</td>\n",
       "      <td>111</td>\n",
       "      <td>93</td>\n",
       "      <td>111</td>\n",
       "      <td>57</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979654</th>\n",
       "      <td>1480599400</td>\n",
       "      <td>93</td>\n",
       "      <td>57</td>\n",
       "      <td>111</td>\n",
       "      <td>93</td>\n",
       "      <td>111</td>\n",
       "      <td>57</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979693</th>\n",
       "      <td>1480599560</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>16760.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979766</th>\n",
       "      <td>1480599960</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>400.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979784</th>\n",
       "      <td>1480599980</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>880.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979806</th>\n",
       "      <td>1480599980</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>6560.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979849</th>\n",
       "      <td>1480600180</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>220.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979864</th>\n",
       "      <td>1480600260</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979874</th>\n",
       "      <td>1480600280</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>16200.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979879</th>\n",
       "      <td>1480600280</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>300.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979886</th>\n",
       "      <td>1480600280</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>300.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979904</th>\n",
       "      <td>1480600280</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979920</th>\n",
       "      <td>1480600460</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>180.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979936</th>\n",
       "      <td>1480600500</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979952</th>\n",
       "      <td>1480600500</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>220.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979969</th>\n",
       "      <td>1480600500</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>1240.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12979972</th>\n",
       "      <td>1480600520</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980011</th>\n",
       "      <td>1480600560</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>280.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980013</th>\n",
       "      <td>1480600580</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980029</th>\n",
       "      <td>1480600600</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980045</th>\n",
       "      <td>1480600620</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980047</th>\n",
       "      <td>1480600620</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980064</th>\n",
       "      <td>1480600660</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980086</th>\n",
       "      <td>1480600660</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980122</th>\n",
       "      <td>1480600680</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980133</th>\n",
       "      <td>1480600700</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>200.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980153</th>\n",
       "      <td>1480600720</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980156</th>\n",
       "      <td>1480600720</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>440.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980164</th>\n",
       "      <td>1480600760</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>100.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980183</th>\n",
       "      <td>1480600760</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980217</th>\n",
       "      <td>1480600800</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980220</th>\n",
       "      <td>1480600800</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980237</th>\n",
       "      <td>1480600860</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980270</th>\n",
       "      <td>1480600880</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980286</th>\n",
       "      <td>1480600900</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980288</th>\n",
       "      <td>1480600920</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>160.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980304</th>\n",
       "      <td>1480600920</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980305</th>\n",
       "      <td>1480600940</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980324</th>\n",
       "      <td>1480600940</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980331</th>\n",
       "      <td>1480601020</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>520.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980332</th>\n",
       "      <td>1480601120</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>320.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980340</th>\n",
       "      <td>1480601160</td>\n",
       "      <td>51</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>51</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980353</th>\n",
       "      <td>1480601240</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>120.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980359</th>\n",
       "      <td>1480601260</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>320.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980376</th>\n",
       "      <td>1480601280</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980398</th>\n",
       "      <td>1480601280</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>340.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980419</th>\n",
       "      <td>1480601320</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980438</th>\n",
       "      <td>1480601360</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980446</th>\n",
       "      <td>1480601380</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980460</th>\n",
       "      <td>1480601400</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980490</th>\n",
       "      <td>1480601420</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980499</th>\n",
       "      <td>1480601440</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980506</th>\n",
       "      <td>1480601460</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980538</th>\n",
       "      <td>1480601480</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>460.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980558</th>\n",
       "      <td>1480601520</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980574</th>\n",
       "      <td>1480601540</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>80.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980581</th>\n",
       "      <td>1480601580</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980588</th>\n",
       "      <td>1480601600</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980596</th>\n",
       "      <td>1480601620</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980607</th>\n",
       "      <td>1480601640</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980644</th>\n",
       "      <td>1480601700</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>180.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980656</th>\n",
       "      <td>1480601700</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980677</th>\n",
       "      <td>1480601720</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980709</th>\n",
       "      <td>1480601740</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980725</th>\n",
       "      <td>1480601760</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980733</th>\n",
       "      <td>1480601780</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980759</th>\n",
       "      <td>1480601840</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>140.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980767</th>\n",
       "      <td>1480601860</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980777</th>\n",
       "      <td>1480601880</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980792</th>\n",
       "      <td>1480601920</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980816</th>\n",
       "      <td>1480601940</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980822</th>\n",
       "      <td>1480601960</td>\n",
       "      <td>22</td>\n",
       "      <td>120</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980846</th>\n",
       "      <td>1480601960</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980852</th>\n",
       "      <td>1480601960</td>\n",
       "      <td>76</td>\n",
       "      <td>120</td>\n",
       "      <td>12</td>\n",
       "      <td>76</td>\n",
       "      <td>12</td>\n",
       "      <td>120</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980863</th>\n",
       "      <td>1480601980</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980888</th>\n",
       "      <td>1480602000</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980913</th>\n",
       "      <td>1480602020</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>129</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980961</th>\n",
       "      <td>1480602460</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>84600.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981060</th>\n",
       "      <td>1480602760</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>980.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981124</th>\n",
       "      <td>1480603160</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>1880.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981165</th>\n",
       "      <td>1480603380</td>\n",
       "      <td>108</td>\n",
       "      <td>90</td>\n",
       "      <td>23</td>\n",
       "      <td>108</td>\n",
       "      <td>23</td>\n",
       "      <td>90</td>\n",
       "      <td>12720.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981168</th>\n",
       "      <td>1480603400</td>\n",
       "      <td>129</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>129</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>240.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981286</th>\n",
       "      <td>1480604080</td>\n",
       "      <td>127</td>\n",
       "      <td>25</td>\n",
       "      <td>119</td>\n",
       "      <td>127</td>\n",
       "      <td>119</td>\n",
       "      <td>25</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981294</th>\n",
       "      <td>1480604100</td>\n",
       "      <td>127</td>\n",
       "      <td>25</td>\n",
       "      <td>119</td>\n",
       "      <td>127</td>\n",
       "      <td>119</td>\n",
       "      <td>25</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981305</th>\n",
       "      <td>1480604140</td>\n",
       "      <td>127</td>\n",
       "      <td>25</td>\n",
       "      <td>119</td>\n",
       "      <td>127</td>\n",
       "      <td>119</td>\n",
       "      <td>25</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981331</th>\n",
       "      <td>1480604160</td>\n",
       "      <td>127</td>\n",
       "      <td>25</td>\n",
       "      <td>119</td>\n",
       "      <td>127</td>\n",
       "      <td>119</td>\n",
       "      <td>25</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981348</th>\n",
       "      <td>1480604280</td>\n",
       "      <td>127</td>\n",
       "      <td>25</td>\n",
       "      <td>119</td>\n",
       "      <td>127</td>\n",
       "      <td>119</td>\n",
       "      <td>25</td>\n",
       "      <td>120.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981369</th>\n",
       "      <td>1480604440</td>\n",
       "      <td>125</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>125</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981467</th>\n",
       "      <td>1480605060</td>\n",
       "      <td>101</td>\n",
       "      <td>66</td>\n",
       "      <td>111</td>\n",
       "      <td>101</td>\n",
       "      <td>111</td>\n",
       "      <td>66</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981480</th>\n",
       "      <td>1480605080</td>\n",
       "      <td>77</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>77</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>6300.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981541</th>\n",
       "      <td>1480605100</td>\n",
       "      <td>95</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>95</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981570</th>\n",
       "      <td>1480605520</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>96</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>12080.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981587</th>\n",
       "      <td>1480605520</td>\n",
       "      <td>79</td>\n",
       "      <td>34</td>\n",
       "      <td>52</td>\n",
       "      <td>79</td>\n",
       "      <td>52</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981613</th>\n",
       "      <td>1480605520</td>\n",
       "      <td>50</td>\n",
       "      <td>34</td>\n",
       "      <td>52</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981687</th>\n",
       "      <td>1480605540</td>\n",
       "      <td>36</td>\n",
       "      <td>34</td>\n",
       "      <td>10</td>\n",
       "      <td>36</td>\n",
       "      <td>10</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981848</th>\n",
       "      <td>1480605540</td>\n",
       "      <td>9</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>9</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>21860.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981945</th>\n",
       "      <td>1480605540</td>\n",
       "      <td>22</td>\n",
       "      <td>120</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "      <td>120</td>\n",
       "      <td>3580.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12982070</th>\n",
       "      <td>1480605540</td>\n",
       "      <td>22</td>\n",
       "      <td>92</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "      <td>92</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12982403</th>\n",
       "      <td>1480605540</td>\n",
       "      <td>96</td>\n",
       "      <td>39</td>\n",
       "      <td>10</td>\n",
       "      <td>96</td>\n",
       "      <td>10</td>\n",
       "      <td>39</td>\n",
       "      <td>12900.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12982582</th>\n",
       "      <td>1480605540</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>96</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12983354</th>\n",
       "      <td>1480605540</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>77</td>\n",
       "      <td>12</td>\n",
       "      <td>77</td>\n",
       "      <td>22</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12984268</th>\n",
       "      <td>1480605540</td>\n",
       "      <td>49</td>\n",
       "      <td>7</td>\n",
       "      <td>116</td>\n",
       "      <td>49</td>\n",
       "      <td>116</td>\n",
       "      <td>7</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12984346</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>74</td>\n",
       "      <td>2</td>\n",
       "      <td>93</td>\n",
       "      <td>74</td>\n",
       "      <td>93</td>\n",
       "      <td>2</td>\n",
       "      <td>101280.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12984616</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>22</td>\n",
       "      <td>92</td>\n",
       "      <td>77</td>\n",
       "      <td>22</td>\n",
       "      <td>77</td>\n",
       "      <td>92</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12984791</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>77</td>\n",
       "      <td>22</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12984893</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>9</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>9</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12984937</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>9</td>\n",
       "      <td>110</td>\n",
       "      <td>108</td>\n",
       "      <td>9</td>\n",
       "      <td>108</td>\n",
       "      <td>110</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12984968</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>76</td>\n",
       "      <td>92</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>22</td>\n",
       "      <td>92</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12985056</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>76</td>\n",
       "      <td>92</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>77</td>\n",
       "      <td>92</td>\n",
       "      <td>22060.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12985235</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>137</td>\n",
       "      <td>34</td>\n",
       "      <td>36</td>\n",
       "      <td>137</td>\n",
       "      <td>36</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12985421</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>137</td>\n",
       "      <td>79</td>\n",
       "      <td>36</td>\n",
       "      <td>137</td>\n",
       "      <td>36</td>\n",
       "      <td>79</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12985558</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>2</td>\n",
       "      <td>79</td>\n",
       "      <td>137</td>\n",
       "      <td>2</td>\n",
       "      <td>137</td>\n",
       "      <td>79</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12985760</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>77</td>\n",
       "      <td>12</td>\n",
       "      <td>77</td>\n",
       "      <td>22</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12985993</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>108</td>\n",
       "      <td>110</td>\n",
       "      <td>111</td>\n",
       "      <td>108</td>\n",
       "      <td>111</td>\n",
       "      <td>110</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12986043</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>108</td>\n",
       "      <td>9</td>\n",
       "      <td>111</td>\n",
       "      <td>108</td>\n",
       "      <td>111</td>\n",
       "      <td>9</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12986115</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>79</td>\n",
       "      <td>34</td>\n",
       "      <td>36</td>\n",
       "      <td>79</td>\n",
       "      <td>36</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12986185</th>\n",
       "      <td>1480605560</td>\n",
       "      <td>79</td>\n",
       "      <td>34</td>\n",
       "      <td>137</td>\n",
       "      <td>79</td>\n",
       "      <td>137</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12986504</th>\n",
       "      <td>1480605580</td>\n",
       "      <td>98</td>\n",
       "      <td>34</td>\n",
       "      <td>80</td>\n",
       "      <td>98</td>\n",
       "      <td>80</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12986589</th>\n",
       "      <td>1480605580</td>\n",
       "      <td>22</td>\n",
       "      <td>92</td>\n",
       "      <td>77</td>\n",
       "      <td>22</td>\n",
       "      <td>77</td>\n",
       "      <td>92</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12986855</th>\n",
       "      <td>1480605580</td>\n",
       "      <td>79</td>\n",
       "      <td>34</td>\n",
       "      <td>80</td>\n",
       "      <td>79</td>\n",
       "      <td>80</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12987031</th>\n",
       "      <td>1480605580</td>\n",
       "      <td>133</td>\n",
       "      <td>26</td>\n",
       "      <td>74</td>\n",
       "      <td>133</td>\n",
       "      <td>74</td>\n",
       "      <td>26</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12987188</th>\n",
       "      <td>1480605580</td>\n",
       "      <td>42</td>\n",
       "      <td>34</td>\n",
       "      <td>98</td>\n",
       "      <td>42</td>\n",
       "      <td>98</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12987461</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>77</td>\n",
       "      <td>127</td>\n",
       "      <td>116</td>\n",
       "      <td>77</td>\n",
       "      <td>116</td>\n",
       "      <td>127</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12987712</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>22</td>\n",
       "      <td>90</td>\n",
       "      <td>108</td>\n",
       "      <td>22</td>\n",
       "      <td>108</td>\n",
       "      <td>90</td>\n",
       "      <td>107760.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12987814</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>22</td>\n",
       "      <td>46</td>\n",
       "      <td>108</td>\n",
       "      <td>22</td>\n",
       "      <td>108</td>\n",
       "      <td>46</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12988134</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>108</td>\n",
       "      <td>22</td>\n",
       "      <td>77</td>\n",
       "      <td>108</td>\n",
       "      <td>77</td>\n",
       "      <td>22</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12988461</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>137</td>\n",
       "      <td>79</td>\n",
       "      <td>42</td>\n",
       "      <td>137</td>\n",
       "      <td>42</td>\n",
       "      <td>79</td>\n",
       "      <td>88200.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12988585</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>79</td>\n",
       "      <td>34</td>\n",
       "      <td>42</td>\n",
       "      <td>79</td>\n",
       "      <td>42</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12988629</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>81</td>\n",
       "      <td>79</td>\n",
       "      <td>137</td>\n",
       "      <td>81</td>\n",
       "      <td>137</td>\n",
       "      <td>79</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12988700</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>42</td>\n",
       "      <td>34</td>\n",
       "      <td>38</td>\n",
       "      <td>42</td>\n",
       "      <td>38</td>\n",
       "      <td>34</td>\n",
       "      <td>7280.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12988825</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>22</td>\n",
       "      <td>90</td>\n",
       "      <td>22</td>\n",
       "      <td>46</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12988889</th>\n",
       "      <td>1480605600</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>108</td>\n",
       "      <td>90</td>\n",
       "      <td>108</td>\n",
       "      <td>46</td>\n",
       "      <td>22100.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989082</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>79</td>\n",
       "      <td>109</td>\n",
       "      <td>137</td>\n",
       "      <td>79</td>\n",
       "      <td>137</td>\n",
       "      <td>109</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989164</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>79</td>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>79</td>\n",
       "      <td>23</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989194</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>79</td>\n",
       "      <td>34</td>\n",
       "      <td>137</td>\n",
       "      <td>79</td>\n",
       "      <td>137</td>\n",
       "      <td>34</td>\n",
       "      <td>60.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989308</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>137</td>\n",
       "      <td>34</td>\n",
       "      <td>22</td>\n",
       "      <td>137</td>\n",
       "      <td>22</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989348</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>137</td>\n",
       "      <td>109</td>\n",
       "      <td>22</td>\n",
       "      <td>137</td>\n",
       "      <td>22</td>\n",
       "      <td>109</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989604</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>108</td>\n",
       "      <td>90</td>\n",
       "      <td>108</td>\n",
       "      <td>46</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989606</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>123</td>\n",
       "      <td>132</td>\n",
       "      <td>47</td>\n",
       "      <td>123</td>\n",
       "      <td>47</td>\n",
       "      <td>132</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989715</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>108</td>\n",
       "      <td>90</td>\n",
       "      <td>23</td>\n",
       "      <td>108</td>\n",
       "      <td>23</td>\n",
       "      <td>90</td>\n",
       "      <td>2240.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989737</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>108</td>\n",
       "      <td>46</td>\n",
       "      <td>126</td>\n",
       "      <td>108</td>\n",
       "      <td>126</td>\n",
       "      <td>46</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989822</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>49</td>\n",
       "      <td>7</td>\n",
       "      <td>111</td>\n",
       "      <td>49</td>\n",
       "      <td>111</td>\n",
       "      <td>7</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12989877</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>2</td>\n",
       "      <td>133</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>133</td>\n",
       "      <td>6940.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990133</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>109</td>\n",
       "      <td>34</td>\n",
       "      <td>79</td>\n",
       "      <td>109</td>\n",
       "      <td>79</td>\n",
       "      <td>34</td>\n",
       "      <td>12600.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990160</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>109</td>\n",
       "      <td>34</td>\n",
       "      <td>137</td>\n",
       "      <td>109</td>\n",
       "      <td>137</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990232</th>\n",
       "      <td>1480605620</td>\n",
       "      <td>109</td>\n",
       "      <td>34</td>\n",
       "      <td>22</td>\n",
       "      <td>109</td>\n",
       "      <td>22</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990369</th>\n",
       "      <td>1480605640</td>\n",
       "      <td>22</td>\n",
       "      <td>81</td>\n",
       "      <td>23</td>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>81</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990439</th>\n",
       "      <td>1480605660</td>\n",
       "      <td>77</td>\n",
       "      <td>44</td>\n",
       "      <td>116</td>\n",
       "      <td>77</td>\n",
       "      <td>116</td>\n",
       "      <td>44</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990515</th>\n",
       "      <td>1480605660</td>\n",
       "      <td>120</td>\n",
       "      <td>24</td>\n",
       "      <td>12</td>\n",
       "      <td>120</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990578</th>\n",
       "      <td>1480605680</td>\n",
       "      <td>21</td>\n",
       "      <td>123</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>123</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990620</th>\n",
       "      <td>1480605680</td>\n",
       "      <td>21</td>\n",
       "      <td>34</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990645</th>\n",
       "      <td>1480605680</td>\n",
       "      <td>76</td>\n",
       "      <td>34</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>77</td>\n",
       "      <td>34</td>\n",
       "      <td>22160.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990653</th>\n",
       "      <td>1480605680</td>\n",
       "      <td>76</td>\n",
       "      <td>123</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>77</td>\n",
       "      <td>123</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990806</th>\n",
       "      <td>1480605680</td>\n",
       "      <td>123</td>\n",
       "      <td>34</td>\n",
       "      <td>21</td>\n",
       "      <td>123</td>\n",
       "      <td>21</td>\n",
       "      <td>34</td>\n",
       "      <td>94360.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990845</th>\n",
       "      <td>1480605680</td>\n",
       "      <td>123</td>\n",
       "      <td>34</td>\n",
       "      <td>77</td>\n",
       "      <td>123</td>\n",
       "      <td>77</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990849</th>\n",
       "      <td>1480605680</td>\n",
       "      <td>123</td>\n",
       "      <td>34</td>\n",
       "      <td>76</td>\n",
       "      <td>123</td>\n",
       "      <td>76</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990945</th>\n",
       "      <td>1480605700</td>\n",
       "      <td>21</td>\n",
       "      <td>34</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12990970</th>\n",
       "      <td>1480605700</td>\n",
       "      <td>76</td>\n",
       "      <td>34</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>77</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991086</th>\n",
       "      <td>1480605700</td>\n",
       "      <td>123</td>\n",
       "      <td>34</td>\n",
       "      <td>21</td>\n",
       "      <td>123</td>\n",
       "      <td>21</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991129</th>\n",
       "      <td>1480605720</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991147</th>\n",
       "      <td>1480605720</td>\n",
       "      <td>21</td>\n",
       "      <td>34</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991157</th>\n",
       "      <td>1480605720</td>\n",
       "      <td>76</td>\n",
       "      <td>34</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>34</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991181</th>\n",
       "      <td>1480605720</td>\n",
       "      <td>76</td>\n",
       "      <td>34</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>77</td>\n",
       "      <td>34</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991209</th>\n",
       "      <td>1480605740</td>\n",
       "      <td>21</td>\n",
       "      <td>76</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991221</th>\n",
       "      <td>1480605740</td>\n",
       "      <td>127</td>\n",
       "      <td>44</td>\n",
       "      <td>116</td>\n",
       "      <td>127</td>\n",
       "      <td>116</td>\n",
       "      <td>44</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991227</th>\n",
       "      <td>1480605740</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>9</td>\n",
       "      <td>90</td>\n",
       "      <td>9</td>\n",
       "      <td>46</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991243</th>\n",
       "      <td>1480605760</td>\n",
       "      <td>46</td>\n",
       "      <td>24</td>\n",
       "      <td>116</td>\n",
       "      <td>46</td>\n",
       "      <td>116</td>\n",
       "      <td>24</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991257</th>\n",
       "      <td>1480605760</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>116</td>\n",
       "      <td>12</td>\n",
       "      <td>116</td>\n",
       "      <td>24</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991281</th>\n",
       "      <td>1480605780</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>116</td>\n",
       "      <td>12</td>\n",
       "      <td>116</td>\n",
       "      <td>24</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991288</th>\n",
       "      <td>1480605820</td>\n",
       "      <td>110</td>\n",
       "      <td>24</td>\n",
       "      <td>77</td>\n",
       "      <td>110</td>\n",
       "      <td>77</td>\n",
       "      <td>24</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991295</th>\n",
       "      <td>1480605920</td>\n",
       "      <td>110</td>\n",
       "      <td>109</td>\n",
       "      <td>77</td>\n",
       "      <td>110</td>\n",
       "      <td>77</td>\n",
       "      <td>109</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991305</th>\n",
       "      <td>1480605940</td>\n",
       "      <td>110</td>\n",
       "      <td>109</td>\n",
       "      <td>77</td>\n",
       "      <td>110</td>\n",
       "      <td>77</td>\n",
       "      <td>109</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991346</th>\n",
       "      <td>1480606160</td>\n",
       "      <td>53</td>\n",
       "      <td>30</td>\n",
       "      <td>47</td>\n",
       "      <td>53</td>\n",
       "      <td>47</td>\n",
       "      <td>30</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991367</th>\n",
       "      <td>1480606160</td>\n",
       "      <td>77</td>\n",
       "      <td>22</td>\n",
       "      <td>53</td>\n",
       "      <td>77</td>\n",
       "      <td>53</td>\n",
       "      <td>22</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991393</th>\n",
       "      <td>1480606180</td>\n",
       "      <td>77</td>\n",
       "      <td>22</td>\n",
       "      <td>53</td>\n",
       "      <td>77</td>\n",
       "      <td>53</td>\n",
       "      <td>22</td>\n",
       "      <td>20.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991407</th>\n",
       "      <td>1480606180</td>\n",
       "      <td>77</td>\n",
       "      <td>109</td>\n",
       "      <td>53</td>\n",
       "      <td>77</td>\n",
       "      <td>53</td>\n",
       "      <td>109</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991416</th>\n",
       "      <td>1480606180</td>\n",
       "      <td>22</td>\n",
       "      <td>109</td>\n",
       "      <td>53</td>\n",
       "      <td>22</td>\n",
       "      <td>53</td>\n",
       "      <td>109</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12991423</th>\n",
       "      <td>1480606180</td>\n",
       "      <td>22</td>\n",
       "      <td>109</td>\n",
       "      <td>77</td>\n",
       "      <td>22</td>\n",
       "      <td>77</td>\n",
       "      <td>109</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>52310 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Time  i_x  j_x  i_y  j_y    i    j         Diff\n",
       "3         1480486400  110  130    7  110    7  130          nan\n",
       "6         1480486440    9   21  125    9  125   21          nan\n",
       "9         1480486460    9   21  125    9  125   21     20.00000\n",
       "17        1480486580   21  120  125   21  125  120          nan\n",
       "21        1480486680    9   21  125    9  125   21    220.00000\n",
       "33        1480486700    9   21  125    9  125   21     20.00000\n",
       "37        1480486720    9   21  125    9  125   21     20.00000\n",
       "43        1480486740    9   21  125    9  125   21     20.00000\n",
       "46        1480486760    9   21  125    9  125   21     20.00000\n",
       "51        1480486780    9   21  125    9  125   21     20.00000\n",
       "59        1480486800    9   21  125    9  125   21     20.00000\n",
       "64        1480486800   76  120   40   76   40  120          nan\n",
       "70        1480486820    9   21  125    9  125   21     20.00000\n",
       "89        1480487020  130  120   21  130   21  120          nan\n",
       "97        1480487020   21  120   77   21   77  120          nan\n",
       "109       1480487040   21  120   77   21   77  120     20.00000\n",
       "150       1480487040   21  130    7   21    7  130          nan\n",
       "205       1480487060   21   76    7   21    7   76          nan\n",
       "214       1480487060   21  120   77   21   77  120     20.00000\n",
       "230       1480487060   21  120    7   21    7  120          nan\n",
       "254       1480487060  130  120    7  130    7  120          nan\n",
       "270       1480487060   76  120   21   76   21  120          nan\n",
       "290       1480487060   76  120    7   76    7  120          nan\n",
       "298       1480487080   21  120    7   21    7  120     20.00000\n",
       "304       1480487100   21   76    7   21    7   76     40.00000\n",
       "321       1480487240  114   21  125  114  125   21          nan\n",
       "337       1480487260  114   21  125  114  125   21     20.00000\n",
       "344       1480487280    9   21  125    9  125   21    460.00000\n",
       "354       1480487280    9  114  125    9  125  114          nan\n",
       "358       1480487300    9   21  125    9  125   21     20.00000\n",
       "363       1480487320    9   21  125    9  125   21     20.00000\n",
       "372       1480487340    9   21  125    9  125   21     20.00000\n",
       "377       1480487360    9   21  125    9  125   21     20.00000\n",
       "386       1480487360    9  114  125    9  125  114     80.00000\n",
       "391       1480487360  114   21  125  114  125   21    100.00000\n",
       "395       1480487360  114   21    9  114    9   21          nan\n",
       "404       1480487380    9   21  125    9  125   21     20.00000\n",
       "414       1480487380    9  114  125    9  125  114     20.00000\n",
       "418       1480487380  114   21  125  114  125   21     20.00000\n",
       "423       1480487380  114   21    9  114    9   21     20.00000\n",
       "433       1480487400    9   21  125    9  125   21     20.00000\n",
       "444       1480487400    9  114  125    9  125  114     20.00000\n",
       "449       1480487400  114   21  125  114  125   21     20.00000\n",
       "454       1480487400  114   21    9  114    9   21     20.00000\n",
       "464       1480487420    9   21  125    9  125   21     20.00000\n",
       "474       1480487420    9  114  125    9  125  114     20.00000\n",
       "478       1480487420  114   21  125  114  125   21     20.00000\n",
       "483       1480487420  114   21    9  114    9   21     20.00000\n",
       "493       1480487440    9   21  125    9  125   21     20.00000\n",
       "498       1480487460    9   21  125    9  125   21     20.00000\n",
       "509       1480487500   21   76  114   21  114   76          nan\n",
       "526       1480487600  125  110   77  125   77  110          nan\n",
       "538       1480487660   21   76  114   21  114   76    160.00000\n",
       "550       1480487680   21   76  114   21  114   76     20.00000\n",
       "552       1480487700   21   76  114   21  114   76     20.00000\n",
       "580       1480487760   66  113   13   66   13  113          nan\n",
       "585       1480487780   13   66   62   13   62   66          nan\n",
       "593       1480487780   13  113   62   13   62  113          nan\n",
       "605       1480487780   66  113   13   66   13  113     20.00000\n",
       "611       1480487780   66  113   62   66   62  113          nan\n",
       "621       1480487800   13  133   62   13   62  133          nan\n",
       "635       1480487800   13  113   62   13   62  113     20.00000\n",
       "643       1480487800  113  133   62  113   62  133          nan\n",
       "653       1480487800  113  133   13  113   13  133          nan\n",
       "663       1480487800   54  120  135   54  135  120          nan\n",
       "682       1480487820   66  113   13   66   13  113     40.00000\n",
       "686       1480487820   66  133   13   66   13  133          nan\n",
       "703       1480487820  113  133   66  113   66  133          nan\n",
       "708       1480487820  113  133   13  113   13  133     20.00000\n",
       "721       1480487840  113  133   66  113   66  133     20.00000\n",
       "737       1480487840  113  133   13  113   13  133     20.00000\n",
       "830       1480487840   13  133   62   13   62  133     40.00000\n",
       "857       1480487840   66  133   13   66   13  133     20.00000\n",
       "880       1480487840   66  113   13   66   13  113     20.00000\n",
       "893       1480487840   76  130    7   76    7  130          nan\n",
       "901       1480487860  113  133   66  113   66  133     20.00000\n",
       "914       1480487860  113  133   62  113   62  133     60.00000\n",
       "926       1480487860  113  133   13  113   13  133     20.00000\n",
       "942       1480487860   13  133   62   13   62  133     20.00000\n",
       "960       1480487860   13   66   62   13   62   66     80.00000\n",
       "973       1480487860   13  113   62   13   62  113     60.00000\n",
       "987       1480487860   66  113   62   66   62  113     80.00000\n",
       "1007      1480487860   66  113   13   66   13  113     20.00000\n",
       "1012      1480487860   66  133   62   66   62  133          nan\n",
       "1024      1480487860   66  133   13   66   13  133     20.00000\n",
       "1043      1480487880   13   66   62   13   62   66     20.00000\n",
       "1052      1480487880   13  133   62   13   62  133     20.00000\n",
       "1083      1480487880   66  113   13   66   13  113     20.00000\n",
       "1098      1480487880   66  133   13   66   13  133     20.00000\n",
       "1112      1480487880   66  133   62   66   62  133     20.00000\n",
       "1129      1480487880   76  130    7   76    7  130     40.00000\n",
       "1143      1480487900  113  133   13  113   13  133     40.00000\n",
       "1168      1480487900   66  113   13   66   13  113     20.00000\n",
       "1183      1480487920   13   66   62   13   62   66     40.00000\n",
       "1190      1480487920   13  133   62   13   62  133     40.00000\n",
       "1208      1480487920   13  113   62   13   62  113     60.00000\n",
       "1223      1480487920   66  113   13   66   13  113     20.00000\n",
       "1234      1480487920   66  113   62   66   62  113     60.00000\n",
       "1240      1480487920   66  133   13   66   13  133     40.00000\n",
       "1255      1480487920   66  133   62   66   62  133     40.00000\n",
       "1270      1480487920  113  133   66  113   66  133     60.00000\n",
       "1281      1480487920  113  133   62  113   62  133     60.00000\n",
       "1292      1480487920  113  133   13  113   13  133     20.00000\n",
       "1312      1480487940  113  133   66  113   66  133     20.00000\n",
       "1330      1480487940  113  133   62  113   62  133     20.00000\n",
       "1345      1480487940  113  133   13  113   13  133     20.00000\n",
       "1381      1480487940   62  133  115   62  115  133          nan\n",
       "1444      1480487940   13  133   62   13   62  133     20.00000\n",
       "1490      1480487940   13  113   62   13   62  113     20.00000\n",
       "1497      1480487940   66  133   13   66   13  133     20.00000\n",
       "1548      1480487940   66  113   13   66   13  113     20.00000\n",
       "1578      1480487960   62   13  115   62  115   13          nan\n",
       "1588      1480487960   62  133  115   62  115  133     20.00000\n",
       "1622      1480487960   62   66  115   62  115   66          nan\n",
       "1640      1480487960   13   66   62   13   62   66     40.00000\n",
       "1660      1480487960   13   66  115   13  115   66          nan\n",
       "1710      1480487960   13  133   62   13   62  133     20.00000\n",
       "1721      1480487960   13  133  115   13  115  133          nan\n",
       "1772      1480487960   13  113  115   13  115  113          nan\n",
       "1778      1480487960  113  133  115  113  115  133          nan\n",
       "1801      1480487960  113  133   13  113   13  133     20.00000\n",
       "1820      1480487960   66  133   13   66   13  133     20.00000\n",
       "1862      1480487960   66  133   62   66   62  133     40.00000\n",
       "1873      1480487960   66  133  115   66  115  133          nan\n",
       "1898      1480487980  113  133   62  113   62  133     40.00000\n",
       "1914      1480487980  113  133   13  113   13  133     20.00000\n",
       "1937      1480487980   62   13  115   62  115   13     20.00000\n",
       "1950      1480487980   62  133  115   62  115  133     20.00000\n",
       "2001      1480487980   62   66  115   62  115   66     20.00000\n",
       "2018      1480487980   13   66   62   13   62   66     20.00000\n",
       "2039      1480487980   13   66  115   13  115   66     20.00000\n",
       "2050      1480487980   13  133   62   13   62  133     20.00000\n",
       "2064      1480487980   13  133  115   13  115  133     20.00000\n",
       "2093      1480487980   13  113   62   13   62  113     40.00000\n",
       "2123      1480487980   66  133   13   66   13  133     20.00000\n",
       "2145      1480487980   66  133   62   66   62  133     20.00000\n",
       "2159      1480487980   66  133  115   66  115  133     20.00000\n",
       "2181      1480487980   21   76  114   21  114   76    280.00000\n",
       "2204      1480488000   62   13  115   62  115   13     20.00000\n",
       "2267      1480488000   62   66  115   62  115   66     20.00000\n",
       "2285      1480488000   13   66   62   13   62   66     20.00000\n",
       "2305      1480488000   13   66  115   13  115   66     20.00000\n",
       "2317      1480488000   13  133   62   13   62  133     20.00000\n",
       "2360      1480488000   13  113   62   13   62  113     20.00000\n",
       "2393      1480488000  113  133   62  113   62  133     20.00000\n",
       "2407      1480488000  113  133   13  113   13  133     20.00000\n",
       "2426      1480488000   66  133   13   66   13  133     20.00000\n",
       "2469      1480488000   66  133   62   66   62  133     20.00000\n",
       "2509      1480488020  113  133   66  113   66  133     80.00000\n",
       "2528      1480488020  113  133   62  113   62  133     20.00000\n",
       "2544      1480488020  113  133   13  113   13  133     20.00000\n",
       "2578      1480488020   13   66  115   13  115   66     20.00000\n",
       "2598      1480488020   13   66   62   13   62   66     20.00000\n",
       "2609      1480488020   13   66  117   13  117   66          nan\n",
       "2654      1480488020   13  133   62   13   62  133     20.00000\n",
       "2685      1480488020   13  133  117   13  117  133          nan\n",
       "2723      1480488020   13  113   62   13   62  113     20.00000\n",
       "2771      1480488020   66  113   13   66   13  113     80.00000\n",
       "2807      1480488020   66  113   62   66   62  113    100.00000\n",
       "2838      1480488020   66  133   13   66   13  133     20.00000\n",
       "2874      1480488020   66  133  117   66  117  133          nan\n",
       "2885      1480488020   66  133   62   66   62  133     20.00000\n",
       "2937      1480488020   62  133  117   62  117  133          nan\n",
       "2974      1480488020   62   13  117   62  117   13          nan\n",
       "2991      1480488020   62   13  115   62  115   13     20.00000\n",
       "3050      1480488020   62   66  117   62  117   66          nan\n",
       "3082      1480488020   62   66  115   62  115   66     20.00000\n",
       "3098      1480488040  113  133   66  113   66  133     20.00000\n",
       "3118      1480488040  113  133   62  113   62  133     20.00000\n",
       "3134      1480488040  113  133   13  113   13  133     20.00000\n",
       "3164      1480488040   62   13  117   62  117   13     20.00000\n",
       "3242      1480488040   62   66  117   62  117   66     20.00000\n",
       "3271      1480488040   13   66   62   13   62   66     20.00000\n",
       "3284      1480488040   13   66  117   13  117   66     20.00000\n",
       "3309      1480488040   13  137   62   13   62  137          nan\n",
       "3349      1480488040   13  133   62   13   62  133     20.00000\n",
       "3396      1480488040   13  113   62   13   62  113     20.00000\n",
       "3443      1480488040   66  113   13   66   13  113     20.00000\n",
       "3501      1480488040   66  113   62   66   62  113     20.00000\n",
       "3512      1480488040   66  133   13   66   13  133     20.00000\n",
       "3580      1480488040   66  133   62   66   62  133     20.00000\n",
       "3594      1480488040  137   66   13  137   13   66          nan\n",
       "3628      1480488040  137   66   62  137   62   66          nan\n",
       "3644      1480488060  113  133   66  113   66  133     20.00000\n",
       "3674      1480488060  113  133    2  113    2  133          nan\n",
       "3683      1480488060  113  133   62  113   62  133     20.00000\n",
       "3879      1480488060    2  113   62    2   62  113          nan\n",
       "3893      1480488060    2  133   62    2   62  133          nan\n",
       "3915      1480488060  117   13   10  117   10   13          nan\n",
       "3944      1480488060  117   96   10  117   10   96          nan\n",
       "3954      1480488080    2  133   62    2   62  133     20.00000\n",
       "4035      1480488080    2  113   62    2   62  113     20.00000\n",
       "4067      1480488080    2  113  117    2  117  113          nan\n",
       "4101      1480488080  113  133   66  113   66  133     20.00000\n",
       "4116      1480488080  113  133    2  113    2  133     20.00000\n",
       "4142      1480488080  113  133  115  113  115  133    120.00000\n",
       "4170      1480488080  113  133   62  113   62  133     20.00000\n",
       "4227      1480488080   66  113   62   66   62  113     40.00000\n",
       "4248      1480488080   66  113  115   66  115  113          nan\n",
       "4266      1480488080   66  133   62   66   62  133     40.00000\n",
       "4286      1480488080   66  133  115   66  115  133    100.00000\n",
       "4334      1480488080   62  133  115   62  115  133    100.00000\n",
       "4368      1480488080   62  113  115   62  115  113          nan\n",
       "4397      1480488080   62   66  115   62  115   66     60.00000\n",
       "4446      1480488080   13   96  117   13  117   96          nan\n",
       "4489      1480488080   13    2  117   13  117    2          nan\n",
       "4555      1480488100  113  133    2  113    2  133     20.00000\n",
       "4569      1480488100  113  133   62  113   62  133     20.00000\n",
       "4594      1480488100  113  133   13  113   13  133     60.00000\n",
       "4629      1480488100   62   13  115   62  115   13     80.00000\n",
       "4647      1480488100   62    2  115   62  115    2          nan\n",
       "4678      1480488100   62  133  115   62  115  133     20.00000\n",
       "4761      1480488100   62   66  115   62  115   66     20.00000\n",
       "4810      1480488100   13   66   62   13   62   66     60.00000\n",
       "4819      1480488100   13   66  115   13  115   66     80.00000\n",
       "4859      1480488100   13  133   62   13   62  133     60.00000\n",
       "4881      1480488100   13  133  115   13  115  133    120.00000\n",
       "4915      1480488100   13    2   62   13   62    2          nan\n",
       "4937      1480488100   13    2  115   13  115    2          nan\n",
       "4983      1480488100   13  113   62   13   62  113     60.00000\n",
       "5022      1480488100    2   66  115    2  115   66          nan\n",
       "5071      1480488100    2   66   62    2   62   66          nan\n",
       "5085      1480488100    2   66   13    2   13   66          nan\n",
       "5157      1480488100    2  113   62    2   62  113     20.00000\n",
       "5195      1480488100    2  113   13    2   13  113          nan\n",
       "5200      1480488100    2  133  115    2  115  133          nan\n",
       "5236      1480488100    2  133   62    2   62  133     20.00000\n",
       "5261      1480488100    2  133   13    2   13  133          nan\n",
       "5345      1480488100   66  133  115   66  115  133     20.00000\n",
       "5377      1480488100   66  133   13   66   13  133     60.00000\n",
       "5425      1480488100   66  133    2   66    2  133          nan\n",
       "5439      1480488100   66  133   62   66   62  133     20.00000\n",
       "5473      1480488120  113  133   66  113   66  133     40.00000\n",
       "5520      1480488120  113  133   13  113   13  133     20.00000\n",
       "5553      1480488120   62   13  115   62  115   13     20.00000\n",
       "5570      1480488120   62  133  115   62  115  133     20.00000\n",
       "5646      1480488120   13   66  115   13  115   66     20.00000\n",
       "5690      1480488120   13  137   62   13   62  137     80.00000\n",
       "5740      1480488120   13  133   62   13   62  133     20.00000\n",
       "5759      1480488120   13  133  115   13  115  133     20.00000\n",
       "5810      1480488120   13    2  115   13  115    2     20.00000\n",
       "5889      1480488120    2   66  115    2  115   66     20.00000\n",
       "5922      1480488120    2   66   13    2   13   66     20.00000\n",
       "5996      1480488120    2  113   13    2   13  113     20.00000\n",
       "6050      1480488120   66  113   13   66   13  113     80.00000\n",
       "6069      1480488120   66  113    2   66    2  113          nan\n",
       "6110      1480488120   66  133  115   66  115  133     20.00000\n",
       "6141      1480488120   66  133   13   66   13  133     20.00000\n",
       "6219      1480488120  137   66   13  137   13   66     80.00000\n",
       "6365      1480488140  115  133  117  115  117  133          nan\n",
       "...              ...  ...  ...  ...  ...  ...  ...          ...\n",
       "12976377  1480599040   65   34  119   65  119   34     20.00000\n",
       "12976410  1480599040   65   51  119   65  119   51     20.00000\n",
       "12976425  1480599040   23   20   83   23   83   20     20.00000\n",
       "12976481  1480599040   23   46   83   23   83   46     20.00000\n",
       "12976516  1480599040   20   46   83   20   83   46     20.00000\n",
       "12976533  1480599040   20   46   23   20   23   46     20.00000\n",
       "12976637  1480599040   77   39   80   77   80   39          nan\n",
       "12976805  1480599040   77   28  105   77  105   28          nan\n",
       "12976952  1480599040  125   39   80  125   80   39     20.00000\n",
       "12977017  1480599040   51   34   65   51   65   34     20.00000\n",
       "12977077  1480599040   51   34  119   51  119   34     20.00000\n",
       "12977181  1480599060   80   39  105   80  105   39          nan\n",
       "12977198  1480599060   80   28  105   80  105   28          nan\n",
       "12977304  1480599060  125    4   80  125   80    4          nan\n",
       "12977373  1480599060   65   34  119   65  119   34     20.00000\n",
       "12977408  1480599060   65   51  119   65  119   51     20.00000\n",
       "12977446  1480599060   23   46   83   23   83   46     20.00000\n",
       "12977518  1480599060  117    0  111  117  111    0          nan\n",
       "12977584  1480599060   39   28   80   39   80   28          nan\n",
       "12977642  1480599060   39   28  105   39  105   28          nan\n",
       "12977886  1480599060   77  125   80   77   80  125          nan\n",
       "12977942  1480599060   77   39   80   77   80   39     20.00000\n",
       "12978014  1480599060   51   34   65   51   65   34     20.00000\n",
       "12978076  1480599060   51   34  119   51  119   34     20.00000\n",
       "12978090  1480599060    4   39   80    4   80   39          nan\n",
       "12978174  1480599080   65   34  119   65  119   34     20.00000\n",
       "12978196  1480599080   65   51  119   65  119   51     20.00000\n",
       "12978206  1480599080   23   20   83   23   83   20     40.00000\n",
       "12978245  1480599080   23   46   83   23   83   46     20.00000\n",
       "12978267  1480599080  117    0  111  117  111    0     20.00000\n",
       "12978275  1480599080   51   34   65   51   65   34     20.00000\n",
       "12978318  1480599080   51   34  119   51  119   34     20.00000\n",
       "12978347  1480599100   65   34  119   65  119   34     20.00000\n",
       "12978374  1480599100   65   51  119   65  119   51     20.00000\n",
       "12978387  1480599100  110  129  111  110  111  129   5600.00000\n",
       "12978418  1480599100   23   20   83   23   83   20     20.00000\n",
       "12978462  1480599100   23   46   83   23   83   46     20.00000\n",
       "12978471  1480599100   51   34   65   51   65   34     20.00000\n",
       "12978521  1480599100   51   34  119   51  119   34     20.00000\n",
       "12978549  1480599100   20   46   83   20   83   46     60.00000\n",
       "12978565  1480599100   20   46   23   20   23   46     60.00000\n",
       "12978601  1480599120   51   34   65   51   65   34     20.00000\n",
       "12978635  1480599120   51   34  119   51  119   34     20.00000\n",
       "12978702  1480599120   23   20   83   23   83   20     20.00000\n",
       "12978746  1480599120   23   46   83   23   83   46     20.00000\n",
       "12978773  1480599120   65   51  119   65  119   51     20.00000\n",
       "12978803  1480599120   65   34  119   65  119   34     20.00000\n",
       "12978830  1480599120   20   46   83   20   83   46     20.00000\n",
       "12978844  1480599120   20   46   23   20   23   46     20.00000\n",
       "12978880  1480599120  121    2   10  121   10    2  97820.00000\n",
       "12978970  1480599140  119   34  105  119  105   34          nan\n",
       "12979129  1480599140   23   20   83   23   83   20     20.00000\n",
       "12979176  1480599140   23   46   83   23   83   46     20.00000\n",
       "12979204  1480599140   65   51  119   65  119   51     20.00000\n",
       "12979234  1480599140   20   46   83   20   83   46     20.00000\n",
       "12979248  1480599140   20   46   23   20   23   46     20.00000\n",
       "12979322  1480599140   51   34  119   51  119   34     20.00000\n",
       "12979344  1480599160   23   46   83   23   83   46     20.00000\n",
       "12979351  1480599160   20   46   23   20   23   46     20.00000\n",
       "12979362  1480599180   57  110  111   57  111  110    420.00000\n",
       "12979370  1480599220   23   46  105   23  105   46          nan\n",
       "12979404  1480599240   65   51  117   65  117   51          nan\n",
       "12979436  1480599260  117    2   10  117   10    2  22900.00000\n",
       "12979451  1480599280   93   57  111   93  111   57          nan\n",
       "12979475  1480599300   93   57  111   93  111   57     20.00000\n",
       "12979488  1480599300   93  110  111   93  111  110          nan\n",
       "12979497  1480599300   57  110   93   57   93  110          nan\n",
       "12979508  1480599300   57  110  111   57  111  110    120.00000\n",
       "12979546  1480599340   93    0  111   93  111    0          nan\n",
       "12979575  1480599340   57  110   93   57   93  110     40.00000\n",
       "12979583  1480599360   93   57  111   93  111   57     60.00000\n",
       "12979614  1480599360   57    0  111   57  111    0          nan\n",
       "12979644  1480599380   93   57  111   93  111   57     20.00000\n",
       "12979654  1480599400   93   57  111   93  111   57     20.00000\n",
       "12979693  1480599560  129    0  111  129  111    0  16760.00000\n",
       "12979766  1480599960  129    0  111  129  111    0    400.00000\n",
       "12979784  1480599980  110  129  111  110  111  129    880.00000\n",
       "12979806  1480599980  129    0  110  129  110    0   6560.00000\n",
       "12979849  1480600180  129    0  111  129  111    0    220.00000\n",
       "12979864  1480600260  129    0  111  129  111    0     80.00000\n",
       "12979874  1480600280  110    0  111  110  111    0  16200.00000\n",
       "12979879  1480600280  110  129  111  110  111  129    300.00000\n",
       "12979886  1480600280  129    0  110  129  110    0    300.00000\n",
       "12979904  1480600280  129    0  111  129  111    0     20.00000\n",
       "12979920  1480600460  129    0  110  129  110    0    180.00000\n",
       "12979936  1480600500  129    0  110  129  110    0     40.00000\n",
       "12979952  1480600500  110    0  111  110  111    0    220.00000\n",
       "12979969  1480600500  117    2   10  117   10    2   1240.00000\n",
       "12979972  1480600520  129    0  110  129  110    0     20.00000\n",
       "12980011  1480600560  129    0  111  129  111    0    280.00000\n",
       "12980013  1480600580  129    0  110  129  110    0     60.00000\n",
       "12980029  1480600600  129    0  110  129  110    0     20.00000\n",
       "12980045  1480600620  129    0  111  129  111    0     60.00000\n",
       "12980047  1480600620  129    0  110  129  110    0     20.00000\n",
       "12980064  1480600660  129    0  110  129  110    0     40.00000\n",
       "12980086  1480600660  129    0  111  129  111    0     40.00000\n",
       "12980122  1480600680  129    0  111  129  111    0     20.00000\n",
       "12980133  1480600700  110    0  111  110  111    0    200.00000\n",
       "12980153  1480600720  129    0  111  129  111    0     40.00000\n",
       "12980156  1480600720  110  129  111  110  111  129    440.00000\n",
       "12980164  1480600760  129    0  110  129  110    0    100.00000\n",
       "12980183  1480600760  129    0  111  129  111    0     40.00000\n",
       "12980217  1480600800  129    0  111  129  111    0     40.00000\n",
       "12980220  1480600800  110  129  111  110  111  129     80.00000\n",
       "12980237  1480600860  129    0  111  129  111    0     60.00000\n",
       "12980270  1480600880  129    0  111  129  111    0     20.00000\n",
       "12980286  1480600900  129    0  111  129  111    0     20.00000\n",
       "12980288  1480600920  129    0  110  129  110    0    160.00000\n",
       "12980304  1480600920  129    0  111  129  111    0     20.00000\n",
       "12980305  1480600940  129    0  110  129  110    0     20.00000\n",
       "12980324  1480600940  129    0  111  129  111    0     20.00000\n",
       "12980331  1480601020  117    2   10  117   10    2    520.00000\n",
       "12980332  1480601120  110  129  111  110  111  129    320.00000\n",
       "12980340  1480601160   51  129  111   51  111  129          nan\n",
       "12980353  1480601240  110  129  111  110  111  129    120.00000\n",
       "12980359  1480601260  129    0  110  129  110    0    320.00000\n",
       "12980376  1480601280  129    0  110  129  110    0     20.00000\n",
       "12980398  1480601280  129    0  111  129  111    0    340.00000\n",
       "12980419  1480601320  129    0  111  129  111    0     40.00000\n",
       "12980438  1480601360  129    0  111  129  111    0     40.00000\n",
       "12980446  1480601380  129    0  111  129  111    0     20.00000\n",
       "12980460  1480601400  129    0  111  129  111    0     20.00000\n",
       "12980490  1480601420  129    0  111  129  111    0     20.00000\n",
       "12980499  1480601440  129    0  111  129  111    0     20.00000\n",
       "12980506  1480601460  129    0  111  129  111    0     20.00000\n",
       "12980538  1480601480  117    2   10  117   10    2    460.00000\n",
       "12980558  1480601520  117    2   10  117   10    2     40.00000\n",
       "12980574  1480601540  129    0  111  129  111    0     80.00000\n",
       "12980581  1480601580  129    0  111  129  111    0     40.00000\n",
       "12980588  1480601600  129    0  111  129  111    0     20.00000\n",
       "12980596  1480601620  129    0  111  129  111    0     20.00000\n",
       "12980607  1480601640  129    0  111  129  111    0     20.00000\n",
       "12980644  1480601700  117    2   10  117   10    2    180.00000\n",
       "12980656  1480601700  129    0  111  129  111    0     60.00000\n",
       "12980677  1480601720  117    2   10  117   10    2     20.00000\n",
       "12980709  1480601740  117    2   10  117   10    2     20.00000\n",
       "12980725  1480601760  117    2   10  117   10    2     20.00000\n",
       "12980733  1480601780  117    2   10  117   10    2     20.00000\n",
       "12980759  1480601840  129    0  111  129  111    0    140.00000\n",
       "12980767  1480601860  129    0  111  129  111    0     20.00000\n",
       "12980777  1480601880  129    0  111  129  111    0     20.00000\n",
       "12980792  1480601920  129    0  111  129  111    0     40.00000\n",
       "12980816  1480601940  129    0  111  129  111    0     20.00000\n",
       "12980822  1480601960   22  120   12   22   12  120          nan\n",
       "12980846  1480601960  129    0  111  129  111    0     20.00000\n",
       "12980852  1480601960   76  120   12   76   12  120          nan\n",
       "12980863  1480601980  129    0  111  129  111    0     20.00000\n",
       "12980888  1480602000  129    0  111  129  111    0     20.00000\n",
       "12980913  1480602020  129    0  111  129  111    0     20.00000\n",
       "12980961  1480602460    1    2   10    1   10    2  84600.00000\n",
       "12981060  1480602760  117    2   10  117   10    2    980.00000\n",
       "12981124  1480603160  129    0  110  129  110    0   1880.00000\n",
       "12981165  1480603380  108   90   23  108   23   90  12720.00000\n",
       "12981168  1480603400  129    0  110  129  110    0    240.00000\n",
       "12981286  1480604080  127   25  119  127  119   25          nan\n",
       "12981294  1480604100  127   25  119  127  119   25     20.00000\n",
       "12981305  1480604140  127   25  119  127  119   25     40.00000\n",
       "12981331  1480604160  127   25  119  127  119   25     20.00000\n",
       "12981348  1480604280  127   25  119  127  119   25    120.00000\n",
       "12981369  1480604440  125  110  111  125  111  110          nan\n",
       "12981467  1480605060  101   66  111  101  111   66          nan\n",
       "12981480  1480605080   77  110  111   77  111  110   6300.00000\n",
       "12981541  1480605100   95  110  111   95  111  110          nan\n",
       "12981570  1480605520   96    2   10   96   10    2  12080.00000\n",
       "12981587  1480605520   79   34   52   79   52   34          nan\n",
       "12981613  1480605520   50   34   52   50   52   34          nan\n",
       "12981687  1480605540   36   34   10   36   10   34          nan\n",
       "12981848  1480605540    9  110  111    9  111  110  21860.00000\n",
       "12981945  1480605540   22  120   12   22   12  120   3580.00000\n",
       "12982070  1480605540   22   92   12   22   12   92          nan\n",
       "12982403  1480605540   96   39   10   96   10   39  12900.00000\n",
       "12982582  1480605540   96    2   10   96   10    2     20.00000\n",
       "12983354  1480605540   12   22   77   12   77   22          nan\n",
       "12984268  1480605540   49    7  116   49  116    7          nan\n",
       "12984346  1480605560   74    2   93   74   93    2 101280.00000\n",
       "12984616  1480605560   22   92   77   22   77   92          nan\n",
       "12984791  1480605560   22   76   77   22   77   76          nan\n",
       "12984893  1480605560    9  110  111    9  111  110     20.00000\n",
       "12984937  1480605560    9  110  108    9  108  110          nan\n",
       "12984968  1480605560   76   92   22   76   22   92          nan\n",
       "12985056  1480605560   76   92   77   76   77   92  22060.00000\n",
       "12985235  1480605560  137   34   36  137   36   34          nan\n",
       "12985421  1480605560  137   79   36  137   36   79          nan\n",
       "12985558  1480605560    2   79  137    2  137   79          nan\n",
       "12985760  1480605560   12   22   77   12   77   22     20.00000\n",
       "12985993  1480605560  108  110  111  108  111  110          nan\n",
       "12986043  1480605560  108    9  111  108  111    9          nan\n",
       "12986115  1480605560   79   34   36   79   36   34          nan\n",
       "12986185  1480605560   79   34  137   79  137   34          nan\n",
       "12986504  1480605580   98   34   80   98   80   34          nan\n",
       "12986589  1480605580   22   92   77   22   77   92     20.00000\n",
       "12986855  1480605580   79   34   80   79   80   34          nan\n",
       "12987031  1480605580  133   26   74  133   74   26          nan\n",
       "12987188  1480605580   42   34   98   42   98   34          nan\n",
       "12987461  1480605600   77  127  116   77  116  127          nan\n",
       "12987712  1480605600   22   90  108   22  108   90 107760.00000\n",
       "12987814  1480605600   22   46  108   22  108   46          nan\n",
       "12988134  1480605600  108   22   77  108   77   22          nan\n",
       "12988461  1480605600  137   79   42  137   42   79  88200.00000\n",
       "12988585  1480605600   79   34   42   79   42   34          nan\n",
       "12988629  1480605600   81   79  137   81  137   79          nan\n",
       "12988700  1480605600   42   34   38   42   38   34   7280.00000\n",
       "12988825  1480605600   90   46   22   90   22   46          nan\n",
       "12988889  1480605600   90   46  108   90  108   46  22100.00000\n",
       "12989082  1480605620   79  109  137   79  137  109          nan\n",
       "12989164  1480605620   79   34   23   79   23   34          nan\n",
       "12989194  1480605620   79   34  137   79  137   34     60.00000\n",
       "12989308  1480605620  137   34   22  137   22   34          nan\n",
       "12989348  1480605620  137  109   22  137   22  109          nan\n",
       "12989604  1480605620   90   46  108   90  108   46     20.00000\n",
       "12989606  1480605620  123  132   47  123   47  132          nan\n",
       "12989715  1480605620  108   90   23  108   23   90   2240.00000\n",
       "12989737  1480605620  108   46  126  108  126   46          nan\n",
       "12989822  1480605620   49    7  111   49  111    7          nan\n",
       "12989877  1480605620    2  133   62    2   62  133   6940.00000\n",
       "12990133  1480605620  109   34   79  109   79   34  12600.00000\n",
       "12990160  1480605620  109   34  137  109  137   34          nan\n",
       "12990232  1480605620  109   34   22  109   22   34          nan\n",
       "12990369  1480605640   22   81   23   22   23   81          nan\n",
       "12990439  1480605660   77   44  116   77  116   44          nan\n",
       "12990515  1480605660  120   24   12  120   12   24          nan\n",
       "12990578  1480605680   21  123   77   21   77  123          nan\n",
       "12990620  1480605680   21   34   77   21   77   34          nan\n",
       "12990645  1480605680   76   34   77   76   77   34  22160.00000\n",
       "12990653  1480605680   76  123   77   76   77  123          nan\n",
       "12990806  1480605680  123   34   21  123   21   34  94360.00000\n",
       "12990845  1480605680  123   34   77  123   77   34          nan\n",
       "12990849  1480605680  123   34   76  123   76   34          nan\n",
       "12990945  1480605700   21   34   77   21   77   34     20.00000\n",
       "12990970  1480605700   76   34   77   76   77   34     20.00000\n",
       "12991086  1480605700  123   34   21  123   21   34     20.00000\n",
       "12991129  1480605720   21   76   77   21   77   76          nan\n",
       "12991147  1480605720   21   34   77   21   77   34     20.00000\n",
       "12991157  1480605720   76   34   21   76   21   34          nan\n",
       "12991181  1480605720   76   34   77   76   77   34     20.00000\n",
       "12991209  1480605740   21   76   77   21   77   76     20.00000\n",
       "12991221  1480605740  127   44  116  127  116   44          nan\n",
       "12991227  1480605740   90   46    9   90    9   46          nan\n",
       "12991243  1480605760   46   24  116   46  116   24          nan\n",
       "12991257  1480605760   12   24  116   12  116   24          nan\n",
       "12991281  1480605780   12   24  116   12  116   24     20.00000\n",
       "12991288  1480605820  110   24   77  110   77   24          nan\n",
       "12991295  1480605920  110  109   77  110   77  109          nan\n",
       "12991305  1480605940  110  109   77  110   77  109     20.00000\n",
       "12991346  1480606160   53   30   47   53   47   30          nan\n",
       "12991367  1480606160   77   22   53   77   53   22          nan\n",
       "12991393  1480606180   77   22   53   77   53   22     20.00000\n",
       "12991407  1480606180   77  109   53   77   53  109          nan\n",
       "12991416  1480606180   22  109   53   22   53  109          nan\n",
       "12991423  1480606180   22  109   77   22   77  109          nan\n",
       "\n",
       "[52310 rows x 8 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter_triangle[\"Diff\"] = df_filter_triangle.groupby([\"i_x\", \"j_x\", \"i_y\"])[\"Time\"].diff()\n",
    "df_filter_triangle"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following steps are pretty much the same as in the calculate_contact_duration tutorial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "marker_list = []\n",
    "for key, value in df_filter_triangle.iterrows():\n",
    "    if value[\"Diff\"] > 20:\n",
    "        marker_list.append(1)\n",
    "    else:\n",
    "        marker_list.append(0)\n",
    "df_filter_triangle[\"Marker\"] = marker_list\n",
    "df_filter_triangle[\"Ind\"] = df_filter_triangle[\"Marker\"].cumsum()\n",
    "\n",
    "df_merge_dd_gb = df_filter_triangle.groupby([\"Ind\", \"i_x\", \"j_x\", \"i_y\"]).size().reset_index(name=\"Number\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "delta_t_list = []\n",
    "for key, value in df_merge_dd_gb.iterrows():\n",
    "    if value[\"Number\"] == 1:\n",
    "        delta_t = 20\n",
    "        delta_t_list.append(delta_t)\n",
    "    elif value[\"Number\"] > 1:\n",
    "        delta_t = value[\"Number\"] * 20\n",
    "        delta_t_list.append(delta_t)\n",
    "\n",
    "df_merge_dd_gb[\"DeltaT\"] = delta_t_list\n",
    "\n",
    "tij_amount_delta_t = df_merge_dd_gb.groupby(\"DeltaT\").size().reset_index(name=\"AmountOfDeltaT\")\n",
    "\n",
    "cumulated_contacts = 0\n",
    "for key, value in tij_amount_delta_t.iterrows():\n",
    "    cumulated_contacts += value[\"AmountOfDeltaT\"]\n",
    "\n",
    "x_delta_t = []\n",
    "y_probability = []\n",
    "for key, value in tij_amount_delta_t.iterrows():\n",
    "    x_delta_t.append(value[\"DeltaT\"])\n",
    "    y_probability.append(value[\"AmountOfDeltaT\"]/cumulated_contacts)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also calculate the probabilities for the contact and for the triangle duration by using a histogram. You have to import numpy for the linspace and the histogram function and math for the logarithm function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = 10**(np.linspace(math.log10(min(x_delta_t)), math.log10(max(x_delta_t)), 50)) # 17 ?\n",
    "\n",
    "n, bins = np.histogram(x_delta_t, bins=bins, density=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to implement the inter-contact duration function \n",
    "<a name=\"inter-contact_duration\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The last function of the distribution calculates the probabilities for the inter-contact duration. The inter-contact duration describes the time window in which a person switches the conversation partner. So it describes how long it takes that person A changes his contact from person B to person C. To do so we need to prepare our data set again."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At first we have to create a list to get all unique individuals that are part of this data set. To ensure that you get every individual you need to use both ID colums."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "individuals = list(set(list(df.interaction.i) + list(df.interaction.j)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the next step we have to check every occurence of a person in either the \"i\" or the \"j\" column to filter the timestamps. Right after that you can get the time differences by using the created time_stamp list and you have to filter time differences of 20 seconds, because this would be an ongoing conversation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "inter_event_duration = np.array([])\n",
    "for ind in individuals:\n",
    "    time_stamp = df.interaction[(df.interaction.i == ind) | (df.interaction.j == ind)].Time.values\n",
    "    diff = time_stamp[1:] - time_stamp[:-1]\n",
    "    inter_event_duration = np.append(inter_event_duration, diff[diff > 20])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Right after that you can measure the x and y values for a log-log-scaled distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = 10**np.linspace(np.log10(min(inter_event_duration)), np.log10(max(inter_event_duration)), 50)\n",
    "x_delta_t, y_probability = np.histogram(inter_event_duration, bins=bins, density=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After finishing this tutorial you should now be able to understand how you can model interaction data sets to be able to analyze them in terms of different kinds of interaction durations. If you want to see how you can use these functions in the toolbox and how to plot them you can have a look at \"probability_distribution_contact_duration\" tutorial. If you want to further analyse the resulting lists that contain all the $\\delta t$ in terms of their distribution you can have a look at the tutorials \"How_to_use_statistical_characterization\" and \"Statistical_characterization\"."
   ]
  }
 ],
 "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
}