Untitled2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import sqlite3\n",
    "import numpy as np\n",
    "import mysql.connector\n",
    "import pandas as pd\n",
    "import getpass\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly\n",
    "plotly.tools.set_credentials_file(username='mainakchain', api_key='B9m4DVrYYmsoW3jDSiok')\n",
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "from plotly import __version__\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
    "import cufflinks as cf\n",
    "init_notebook_mode(connected=True)\n",
    "import plotly.figure_factory as ff\n",
    "from scipy import stats\n",
    "from sklearn.utils import shuffle\n",
    "from sklearn.neural_network import MLPRegressor\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "from datetime import timedelta\n",
    "from sklearn.ensemble import RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "toll_time = pd.read_csv('toll_time.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:1: UserWarning:\n",
      "\n",
      "Boolean Series key will be reindexed to match DataFrame index.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "new_toll_time = toll_time[toll_time['origin'] == 'Jamshedpur'][toll_time['destination'] == 'HOSUR']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(990, 18)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_toll_time.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 574,
   "metadata": {},
   "outputs": [],
   "source": [
    "# maximum late 24 OR11J1747\n",
    "# maximum early 45 OR04M5329\n",
    "# maximum 24 OR07W2988\n",
    "# maximum delayed WB23C9411"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 575,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_test_df = new_toll_time[new_toll_time['late_by_hrs'] == 182.23333333299999]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 584,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "n_test_df['distance_travelled'] = n_test_df['distance_travelled'] + 1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 476,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "113"
      ]
     },
     "execution_count": 476,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_toll_time[new_toll_time['vehicle_no'].isin(['OR11J1747', 'OR04M5329', 'OR07W2988'])].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 500,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>toll_both</th>\n",
       "      <th>delivery_status</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>late_by_hrs</th>\n",
       "      <th>time_taken</th>\n",
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       "      <th>3904</th>\n",
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       "      <td>624.41</td>\n",
       "      <td>-18.422500</td>\n",
       "      <td>117.954722</td>\n",
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       "      <td>-146.132500</td>\n",
       "      <td>50.225833</td>\n",
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       "      <td>-46.453333</td>\n",
       "      <td>96.115278</td>\n",
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       "      <th>3918</th>\n",
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       "      <td>36.514722</td>\n",
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       "      <td>374.07</td>\n",
       "      <td>-18.422500</td>\n",
       "      <td>102.600278</td>\n",
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       "    <tr>\n",
       "      <th>3921</th>\n",
       "      <td>3</td>\n",
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       "      <td>309.55</td>\n",
       "      <td>-148.627222</td>\n",
       "      <td>52.959722</td>\n",
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       "      <th>3922</th>\n",
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       "      <td>37.898333</td>\n",
       "      <td>70.165556</td>\n",
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       "      <th>3923</th>\n",
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       "      <td>340.90</td>\n",
       "      <td>-54.055278</td>\n",
       "      <td>55.426111</td>\n",
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       "      <th>3924</th>\n",
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       "      <td>317.47</td>\n",
       "      <td>-37.319444</td>\n",
       "      <td>74.640278</td>\n",
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       "      <th>3927</th>\n",
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       "      <td>374.83</td>\n",
       "      <td>-131.355000</td>\n",
       "      <td>73.006111</td>\n",
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       "      <th>3928</th>\n",
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       "      <td>85.191111</td>\n",
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       "      <td>375.33</td>\n",
       "      <td>-52.380278</td>\n",
       "      <td>56.948333</td>\n",
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       "      <th>3931</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>377.35</td>\n",
       "      <td>-35.853611</td>\n",
       "      <td>61.943889</td>\n",
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       "    <tr>\n",
       "      <th>3934</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>374.29</td>\n",
       "      <td>-157.355556</td>\n",
       "      <td>48.120000</td>\n",
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       "    <tr>\n",
       "      <th>3935</th>\n",
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       "      <td>1</td>\n",
       "      <td>375.37</td>\n",
       "      <td>-83.953333</td>\n",
       "      <td>56.562778</td>\n",
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       "    <tr>\n",
       "      <th>3936</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.22</td>\n",
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       "      <td>74.304444</td>\n",
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       "      <th>3937</th>\n",
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       "      <td>97.788333</td>\n",
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       "      <th>3940</th>\n",
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       "      <td>62.874167</td>\n",
       "      <td>44.333056</td>\n",
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       "      <th>4859</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1237.33</td>\n",
       "      <td>37.898333</td>\n",
       "      <td>131.999444</td>\n",
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       "    <tr>\n",
       "      <th>4860</th>\n",
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       "      <td>1148.58</td>\n",
       "      <td>-160.581389</td>\n",
       "      <td>86.249444</td>\n",
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       "      <th>4861</th>\n",
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       "      <td>1</td>\n",
       "      <td>1206.47</td>\n",
       "      <td>-54.055278</td>\n",
       "      <td>101.757500</td>\n",
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       "    <tr>\n",
       "      <th>4862</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1183.98</td>\n",
       "      <td>-37.319444</td>\n",
       "      <td>106.932500</td>\n",
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       "    <tr>\n",
       "      <th>4863</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1239.16</td>\n",
       "      <td>-178.224444</td>\n",
       "      <td>75.267778</td>\n",
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       "    <tr>\n",
       "      <th>4864</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1184.21</td>\n",
       "      <td>-34.744722</td>\n",
       "      <td>67.336667</td>\n",
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       "    <tr>\n",
       "      <th>4865</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1232.79</td>\n",
       "      <td>-131.355000</td>\n",
       "      <td>124.061111</td>\n",
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       "    <tr>\n",
       "      <th>4866</th>\n",
       "      <td>33</td>\n",
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       "      <td>1244.22</td>\n",
       "      <td>-8.215000</td>\n",
       "      <td>126.439722</td>\n",
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       "    <tr>\n",
       "      <th>4867</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1241.51</td>\n",
       "      <td>-63.261111</td>\n",
       "      <td>123.666111</td>\n",
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       "    <tr>\n",
       "      <th>4868</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1243.21</td>\n",
       "      <td>-52.380278</td>\n",
       "      <td>104.476389</td>\n",
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       "    <tr>\n",
       "      <th>4869</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1239.02</td>\n",
       "      <td>-91.938611</td>\n",
       "      <td>93.427222</td>\n",
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       "      <th>4870</th>\n",
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       "      <td>1241.19</td>\n",
       "      <td>-6.259167</td>\n",
       "      <td>116.616944</td>\n",
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       "      <th>4872</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1258.57</td>\n",
       "      <td>-76.999444</td>\n",
       "      <td>65.675278</td>\n",
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       "      <th>4873</th>\n",
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       "      <td>-35.853611</td>\n",
       "      <td>105.451944</td>\n",
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       "      <th>4876</th>\n",
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       "      <td>1239.92</td>\n",
       "      <td>-157.355556</td>\n",
       "      <td>72.578056</td>\n",
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       "      <td>-33.843889</td>\n",
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       "      <td>92.376944</td>\n",
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       "      <td>106.054167</td>\n",
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       "      <td>1235.68</td>\n",
       "      <td>54.730833</td>\n",
       "      <td>105.322778</td>\n",
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       "      <td>-13.696944</td>\n",
       "      <td>103.493056</td>\n",
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       "    <tr>\n",
       "      <th>4882</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1236.13</td>\n",
       "      <td>-77.831944</td>\n",
       "      <td>76.960556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4883</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1237.24</td>\n",
       "      <td>13.138333</td>\n",
       "      <td>159.320833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4884</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>261.40</td>\n",
       "      <td>-53.949167</td>\n",
       "      <td>158.821389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4887</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1250.55</td>\n",
       "      <td>62.874167</td>\n",
       "      <td>91.514722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1233.81</td>\n",
       "      <td>-54.420556</td>\n",
       "      <td>105.121667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1244.73</td>\n",
       "      <td>-200.899167</td>\n",
       "      <td>63.616111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4891</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1234.21</td>\n",
       "      <td>-146.132500</td>\n",
       "      <td>94.075556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4892</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1165.77</td>\n",
       "      <td>-22.176389</td>\n",
       "      <td>90.697222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4893</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1242.01</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>189.460833</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>877 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      toll_both  delivery_status  distance_travelled  late_by_hrs  time_taken\n",
       "3904          1                1              624.41   -18.422500  117.954722\n",
       "3905          1                1              627.52  -146.132500   50.225833\n",
       "3906          2                1             1610.77   -58.860833   93.539722\n",
       "3907          2                1             1641.28   -76.999444   90.695556\n",
       "3909          2                1             1611.30   -77.831944   91.681111\n",
       "3912          2                1             1509.52   -22.176389  106.604444\n",
       "3913          3                1              376.19  -153.696667   31.972222\n",
       "3914          3                1              375.88  -157.554167   23.936944\n",
       "3915          3                2              374.88     1.582500  108.903611\n",
       "3916          3                1              375.83   -58.860833   53.285000\n",
       "3917          3                1              374.49   -46.453333   96.115278\n",
       "3918          3                1              375.67  -104.985833   74.775278\n",
       "3919          3                1              375.35   -92.159444   36.514722\n",
       "3920          3                1              374.07   -18.422500  102.600278\n",
       "3921          3                1              309.55  -148.627222   52.959722\n",
       "3922          3                3              374.88    37.898333   70.165556\n",
       "3923          3                1              340.90   -54.055278   55.426111\n",
       "3924          3                1              317.47   -37.319444   74.640278\n",
       "3925          3                1              374.92  -178.224444   27.213333\n",
       "3926          3                1              281.54   -34.744722   28.898889\n",
       "3927          3                1              374.83  -131.355000   73.006111\n",
       "3928          3                2              375.27    -8.215000   73.193611\n",
       "3929          3                1              375.65   -63.261111   85.191111\n",
       "3930          3                1              375.33   -52.380278   56.948333\n",
       "3931          3                1              377.35   -35.853611   61.943889\n",
       "3934          3                1              374.29  -157.355556   48.120000\n",
       "3935          3                1              375.37   -83.953333   56.562778\n",
       "3936          3                1              375.22  -128.069167   74.304444\n",
       "3937          3                3              374.45    13.138333   97.788333\n",
       "3940          3                3              379.11    62.874167   44.333056\n",
       "...         ...              ...                 ...          ...         ...\n",
       "4859         33                3             1237.33    37.898333  131.999444\n",
       "4860         33                1             1148.58  -160.581389   86.249444\n",
       "4861         33                1             1206.47   -54.055278  101.757500\n",
       "4862         33                1             1183.98   -37.319444  106.932500\n",
       "4863         33                1             1239.16  -178.224444   75.267778\n",
       "4864         33                1             1184.21   -34.744722   67.336667\n",
       "4865         33                1             1232.79  -131.355000  124.061111\n",
       "4866         33                2             1244.22    -8.215000  126.439722\n",
       "4867         33                1             1241.51   -63.261111  123.666111\n",
       "4868         33                1             1243.21   -52.380278  104.476389\n",
       "4869         33                1             1239.02   -91.938611   93.427222\n",
       "4870         33                1             1243.67   -43.525000  112.322778\n",
       "4871         33                2             1241.19    -6.259167  116.616944\n",
       "4872         33                1             1258.57   -76.999444   65.675278\n",
       "4873         33                1             1262.04   -35.853611  105.451944\n",
       "4876         33                1             1239.92  -157.355556   72.578056\n",
       "4877         33                1             1235.53   -33.843889  138.364167\n",
       "4878         33                1             1239.06   -83.953333   92.376944\n",
       "4879         33                1             1243.76  -128.069167  106.054167\n",
       "4880         33                3             1235.68    54.730833  105.322778\n",
       "4881         33                1             1231.91   -13.696944  103.493056\n",
       "4882         33                1             1236.13   -77.831944   76.960556\n",
       "4883         33                3             1237.24    13.138333  159.320833\n",
       "4884         33                1              261.40   -53.949167  158.821389\n",
       "4887         33                3             1250.55    62.874167   91.514722\n",
       "4888         33                1             1233.81   -54.420556  105.121667\n",
       "4890         33                1             1244.73  -200.899167   63.616111\n",
       "4891         33                1             1234.21  -146.132500   94.075556\n",
       "4892         33                1             1165.77   -22.176389   90.697222\n",
       "4893         33                3             1242.01   182.233333  189.460833\n",
       "\n",
       "[877 rows x 5 columns]"
      ]
     },
     "execution_count": 500,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 477,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "maximum = 0\n",
    "maximum_ = 0\n",
    "count = 0\n",
    "status = 'on-time'\n",
    "vehicle_no = ''\n",
    "vehicle_no_ = ''\n",
    "for truck in new_toll_time['vehicle_no'].unique().tolist():\n",
    "    count = new_toll_time[new_toll_time['vehicle_no'] == truck][new_toll_time['delivery_status'] == status].shape[0]\n",
    "    if count > maximum:\n",
    "        vehicle_no = truck\n",
    "        maximum = count\n",
    "print 'max:', vehicle_no, maximum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 573,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>origin</th>\n",
       "      <th>destination</th>\n",
       "      <th>toll_both</th>\n",
       "      <th>vehicle_no</th>\n",
       "      <th>loading_out_time</th>\n",
       "      <th>odometer_km</th>\n",
       "      <th>ist_timestamp</th>\n",
       "      <th>distance_from_toll</th>\n",
       "      <th>loading_in_time</th>\n",
       "      <th>start_date</th>\n",
       "      <th>eta</th>\n",
       "      <th>unloading_in_time</th>\n",
       "      <th>slug</th>\n",
       "      <th>delivery_status</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>late_by_hrs</th>\n",
       "      <th>time_taken</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3946</th>\n",
       "      <td>4878</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>1941.59</td>\n",
       "      <td>2017-11-11 19:17:00</td>\n",
       "      <td>0.898872</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>374.70</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>44.262778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3990</th>\n",
       "      <td>4888</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bolapalli</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2616.34</td>\n",
       "      <td>2017-11-13 21:30:27</td>\n",
       "      <td>0.470322</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>1049.45</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>94.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4033</th>\n",
       "      <td>4891</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Budanam</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2839.79</td>\n",
       "      <td>2017-11-19 07:42:35</td>\n",
       "      <td>0.613729</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>1272.90</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>224.689167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4077</th>\n",
       "      <td>4880</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Chilakapalem</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2083.99</td>\n",
       "      <td>2017-11-12 05:35:31</td>\n",
       "      <td>0.967463</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>517.10</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>54.571389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4113</th>\n",
       "      <td>4892</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Gaddurur</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>3057.25</td>\n",
       "      <td>2017-11-19 19:06:34</td>\n",
       "      <td>0.737468</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>1490.36</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>236.088889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4158</th>\n",
       "      <td>4876</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Gudipada (Old Gangapada)</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>1769.82</td>\n",
       "      <td>2017-11-11 05:00:43</td>\n",
       "      <td>0.838725</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>202.93</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>29.991389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4204</th>\n",
       "      <td>4877</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Gurapalli</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>1857.94</td>\n",
       "      <td>2017-11-11 12:43:25</td>\n",
       "      <td>0.755291</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>291.05</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>37.703056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4268</th>\n",
       "      <td>4885</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Kalaparru</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2467.50</td>\n",
       "      <td>2017-11-13 13:04:18</td>\n",
       "      <td>0.390640</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>900.61</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>86.051111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4311</th>\n",
       "      <td>4887</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Kaza</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2534.46</td>\n",
       "      <td>2017-11-13 15:03:27</td>\n",
       "      <td>0.433520</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>967.57</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>88.036944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4362</th>\n",
       "      <td>4884</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Krishnavaram</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2322.44</td>\n",
       "      <td>2017-11-12 22:04:57</td>\n",
       "      <td>0.515078</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>755.55</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>71.061944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4406</th>\n",
       "      <td>4881</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Laxmipuram</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2124.06</td>\n",
       "      <td>2017-11-12 07:03:41</td>\n",
       "      <td>0.783816</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>557.17</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>56.040833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4451</th>\n",
       "      <td>4879</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Madapam</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2057.42</td>\n",
       "      <td>2017-11-12 04:49:31</td>\n",
       "      <td>0.367379</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>490.53</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>53.804722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4500</th>\n",
       "      <td>4875</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Manguli</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>1714.16</td>\n",
       "      <td>2017-11-11 03:31:33</td>\n",
       "      <td>0.325873</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>147.27</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>28.505278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4535</th>\n",
       "      <td>4893</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Mulbagal</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>3088.11</td>\n",
       "      <td>2017-11-20 11:01:55</td>\n",
       "      <td>0.523898</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>1521.22</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>252.011389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4579</th>\n",
       "      <td>4882</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Nathavalasa/ Vizianagaram</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2124.06</td>\n",
       "      <td>2017-11-12 07:03:41</td>\n",
       "      <td>0.787747</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>557.17</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>56.040833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4629</th>\n",
       "      <td>4874</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Panikholi</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>1659.77</td>\n",
       "      <td>2017-11-11 02:03:33</td>\n",
       "      <td>0.993660</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>92.88</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>27.038611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4673</th>\n",
       "      <td>4886</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Pottipadu</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2488.91</td>\n",
       "      <td>2017-11-13 13:41:27</td>\n",
       "      <td>0.491189</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>922.02</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>86.670278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4716</th>\n",
       "      <td>4873</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Sergrarh</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>1566.89</td>\n",
       "      <td>2017-11-10 23:36:14</td>\n",
       "      <td>0.575165</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>0.00</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>24.583333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4760</th>\n",
       "      <td>4889</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Sunambatti (Musunur)</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2742.26</td>\n",
       "      <td>2017-11-17 18:23:36</td>\n",
       "      <td>0.495381</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>1175.37</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>187.372778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4850</th>\n",
       "      <td>4883</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Vempadu</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2252.56</td>\n",
       "      <td>2017-11-12 19:23:31</td>\n",
       "      <td>0.544617</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>685.67</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>68.371389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4893</th>\n",
       "      <td>4890</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2808.90</td>\n",
       "      <td>2017-11-17 20:28:53</td>\n",
       "      <td>0.870039</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>1242.01</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>189.460833</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0      origin destination                           toll_both  \\\n",
       "3946        4878  Jamshedpur       HOSUR                           Bellupada   \n",
       "3990        4888  Jamshedpur       HOSUR                           Bolapalli   \n",
       "4033        4891  Jamshedpur       HOSUR                             Budanam   \n",
       "4077        4880  Jamshedpur       HOSUR                        Chilakapalem   \n",
       "4113        4892  Jamshedpur       HOSUR                            Gaddurur   \n",
       "4158        4876  Jamshedpur       HOSUR            Gudipada (Old Gangapada)   \n",
       "4204        4877  Jamshedpur       HOSUR                           Gurapalli   \n",
       "4268        4885  Jamshedpur       HOSUR                           Kalaparru   \n",
       "4311        4887  Jamshedpur       HOSUR                                Kaza   \n",
       "4362        4884  Jamshedpur       HOSUR                        Krishnavaram   \n",
       "4406        4881  Jamshedpur       HOSUR                          Laxmipuram   \n",
       "4451        4879  Jamshedpur       HOSUR                             Madapam   \n",
       "4500        4875  Jamshedpur       HOSUR                             Manguli   \n",
       "4535        4893  Jamshedpur       HOSUR                            Mulbagal   \n",
       "4579        4882  Jamshedpur       HOSUR           Nathavalasa/ Vizianagaram   \n",
       "4629        4874  Jamshedpur       HOSUR                           Panikholi   \n",
       "4673        4886  Jamshedpur       HOSUR                           Pottipadu   \n",
       "4716        4873  Jamshedpur       HOSUR                            Sergrarh   \n",
       "4760        4889  Jamshedpur       HOSUR                Sunambatti (Musunur)   \n",
       "4850        4883  Jamshedpur       HOSUR                             Vempadu   \n",
       "4893        4890  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "\n",
       "     vehicle_no     loading_out_time  odometer_km        ist_timestamp  \\\n",
       "3946  WB23C9411  2017-11-09 23:01:14      1941.59  2017-11-11 19:17:00   \n",
       "3990  WB23C9411  2017-11-09 23:01:14      2616.34  2017-11-13 21:30:27   \n",
       "4033  WB23C9411  2017-11-09 23:01:14      2839.79  2017-11-19 07:42:35   \n",
       "4077  WB23C9411  2017-11-09 23:01:14      2083.99  2017-11-12 05:35:31   \n",
       "4113  WB23C9411  2017-11-09 23:01:14      3057.25  2017-11-19 19:06:34   \n",
       "4158  WB23C9411  2017-11-09 23:01:14      1769.82  2017-11-11 05:00:43   \n",
       "4204  WB23C9411  2017-11-09 23:01:14      1857.94  2017-11-11 12:43:25   \n",
       "4268  WB23C9411  2017-11-09 23:01:14      2467.50  2017-11-13 13:04:18   \n",
       "4311  WB23C9411  2017-11-09 23:01:14      2534.46  2017-11-13 15:03:27   \n",
       "4362  WB23C9411  2017-11-09 23:01:14      2322.44  2017-11-12 22:04:57   \n",
       "4406  WB23C9411  2017-11-09 23:01:14      2124.06  2017-11-12 07:03:41   \n",
       "4451  WB23C9411  2017-11-09 23:01:14      2057.42  2017-11-12 04:49:31   \n",
       "4500  WB23C9411  2017-11-09 23:01:14      1714.16  2017-11-11 03:31:33   \n",
       "4535  WB23C9411  2017-11-09 23:01:14      3088.11  2017-11-20 11:01:55   \n",
       "4579  WB23C9411  2017-11-09 23:01:14      2124.06  2017-11-12 07:03:41   \n",
       "4629  WB23C9411  2017-11-09 23:01:14      1659.77  2017-11-11 02:03:33   \n",
       "4673  WB23C9411  2017-11-09 23:01:14      2488.91  2017-11-13 13:41:27   \n",
       "4716  WB23C9411  2017-11-09 23:01:14      1566.89  2017-11-10 23:36:14   \n",
       "4760  WB23C9411  2017-11-09 23:01:14      2742.26  2017-11-17 18:23:36   \n",
       "4850  WB23C9411  2017-11-09 23:01:14      2252.56  2017-11-12 19:23:31   \n",
       "4893  WB23C9411  2017-11-09 23:01:14      2808.90  2017-11-17 20:28:53   \n",
       "\n",
       "      distance_from_toll      loading_in_time           start_date  \\\n",
       "3946            0.898872  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "3990            0.470322  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4033            0.613729  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4077            0.967463  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4113            0.737468  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4158            0.838725  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4204            0.755291  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4268            0.390640  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4311            0.433520  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4362            0.515078  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4406            0.783816  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4451            0.367379  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4500            0.325873  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4535            0.523898  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4579            0.787747  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4629            0.993660  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4673            0.491189  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4716            0.575165  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4760            0.495381  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4850            0.544617  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "4893            0.870039  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "\n",
       "                      eta    unloading_in_time      slug delivery_status  \\\n",
       "3946  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "3990  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4033  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4077  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4113  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4158  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4204  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4268  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4311  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4362  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4406  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4451  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4500  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4535  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4579  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4629  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4673  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4716  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4760  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4850  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "4893  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "\n",
       "      distance_travelled  late_by_hrs  time_taken  \n",
       "3946              374.70   182.233333   44.262778  \n",
       "3990             1049.45   182.233333   94.486944  \n",
       "4033             1272.90   182.233333  224.689167  \n",
       "4077              517.10   182.233333   54.571389  \n",
       "4113             1490.36   182.233333  236.088889  \n",
       "4158              202.93   182.233333   29.991389  \n",
       "4204              291.05   182.233333   37.703056  \n",
       "4268              900.61   182.233333   86.051111  \n",
       "4311              967.57   182.233333   88.036944  \n",
       "4362              755.55   182.233333   71.061944  \n",
       "4406              557.17   182.233333   56.040833  \n",
       "4451              490.53   182.233333   53.804722  \n",
       "4500              147.27   182.233333   28.505278  \n",
       "4535             1521.22   182.233333  252.011389  \n",
       "4579              557.17   182.233333   56.040833  \n",
       "4629               92.88   182.233333   27.038611  \n",
       "4673              922.02   182.233333   86.670278  \n",
       "4716                0.00   182.233333   24.583333  \n",
       "4760             1175.37   182.233333  187.372778  \n",
       "4850              685.67   182.233333   68.371389  \n",
       "4893             1242.01   182.233333  189.460833  "
      ]
     },
     "execution_count": 573,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_toll_time[new_toll_time['late_by_hrs'] == 182.23333333299999]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 571,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>origin</th>\n",
       "      <th>destination</th>\n",
       "      <th>toll_both</th>\n",
       "      <th>vehicle_no</th>\n",
       "      <th>loading_out_time</th>\n",
       "      <th>odometer_km</th>\n",
       "      <th>ist_timestamp</th>\n",
       "      <th>distance_from_toll</th>\n",
       "      <th>loading_in_time</th>\n",
       "      <th>start_date</th>\n",
       "      <th>eta</th>\n",
       "      <th>unloading_in_time</th>\n",
       "      <th>slug</th>\n",
       "      <th>delivery_status</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>late_by_hrs</th>\n",
       "      <th>time_taken</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3904</th>\n",
       "      <td>4099</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Aganampudi</td>\n",
       "      <td>JH01AE6027</td>\n",
       "      <td>2017-11-06 00:16:58</td>\n",
       "      <td>7915.73</td>\n",
       "      <td>2017-11-10 22:14:15</td>\n",
       "      <td>0.898483</td>\n",
       "      <td>2017-11-04 20:05:00</td>\n",
       "      <td>2017-11-04 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-13 01:39:39</td>\n",
       "      <td>ETJ0E000</td>\n",
       "      <td>early</td>\n",
       "      <td>624.41</td>\n",
       "      <td>-18.422500</td>\n",
       "      <td>117.954722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3905</th>\n",
       "      <td>4837</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Aganampudi</td>\n",
       "      <td>TN36Y9906</td>\n",
       "      <td>2017-11-04 23:23:59</td>\n",
       "      <td>6810.38</td>\n",
       "      <td>2017-11-07 01:37:32</td>\n",
       "      <td>0.805438</td>\n",
       "      <td>2017-11-04 05:45:21</td>\n",
       "      <td>2017-11-04 00:00:00</td>\n",
       "      <td>2017-11-16 00:00:00</td>\n",
       "      <td>2017-11-10 03:37:24</td>\n",
       "      <td>ETOYD000</td>\n",
       "      <td>early</td>\n",
       "      <td>627.52</td>\n",
       "      <td>-146.132500</td>\n",
       "      <td>50.225833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3906</th>\n",
       "      <td>4022</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>BR02GA3943</td>\n",
       "      <td>2017-12-01 00:18:48</td>\n",
       "      <td>9133.44</td>\n",
       "      <td>2017-12-04 21:51:11</td>\n",
       "      <td>0.977303</td>\n",
       "      <td>2017-11-30 05:35:54</td>\n",
       "      <td>2017-11-30 00:00:00</td>\n",
       "      <td>2017-12-08 00:00:00</td>\n",
       "      <td>2017-12-05 18:44:15</td>\n",
       "      <td>ETF9G000</td>\n",
       "      <td>early</td>\n",
       "      <td>1610.77</td>\n",
       "      <td>-58.860833</td>\n",
       "      <td>93.539722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3907</th>\n",
       "      <td>4436</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>OD07M1151</td>\n",
       "      <td>2017-11-30 04:58:30</td>\n",
       "      <td>9912.20</td>\n",
       "      <td>2017-12-03 23:40:14</td>\n",
       "      <td>0.672070</td>\n",
       "      <td>2017-11-29 05:00:12</td>\n",
       "      <td>2017-11-29 00:00:00</td>\n",
       "      <td>2017-12-07 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:14</td>\n",
       "      <td>ET46G000</td>\n",
       "      <td>early</td>\n",
       "      <td>1641.28</td>\n",
       "      <td>-76.999444</td>\n",
       "      <td>90.695556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3908</th>\n",
       "      <td>4503</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>2017-11-27 03:32:37</td>\n",
       "      <td>7302.32</td>\n",
       "      <td>2017-11-30 23:16:39</td>\n",
       "      <td>0.902463</td>\n",
       "      <td>2017-11-25 05:57:26</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-07 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>ETXSF000</td>\n",
       "      <td>early</td>\n",
       "      <td>1620.49</td>\n",
       "      <td>-77.942500</td>\n",
       "      <td>91.733889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3909</th>\n",
       "      <td>4656</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>OR07V0091</td>\n",
       "      <td>2017-11-27 03:16:12</td>\n",
       "      <td>11154.36</td>\n",
       "      <td>2017-11-30 22:57:04</td>\n",
       "      <td>0.861116</td>\n",
       "      <td>2017-11-25 06:03:58</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-07 00:00:00</td>\n",
       "      <td>2017-12-04 00:14:03</td>\n",
       "      <td>ETZSF000</td>\n",
       "      <td>early</td>\n",
       "      <td>1611.30</td>\n",
       "      <td>-77.831944</td>\n",
       "      <td>91.681111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3910</th>\n",
       "      <td>4732</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>2017-11-26 22:59:12</td>\n",
       "      <td>5659.67</td>\n",
       "      <td>2017-12-02 00:41:59</td>\n",
       "      <td>0.957378</td>\n",
       "      <td>2017-11-25 14:02:01</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:00</td>\n",
       "      <td>2017-12-04 08:19:42</td>\n",
       "      <td>ETHUF000</td>\n",
       "      <td>on-time</td>\n",
       "      <td>1615.10</td>\n",
       "      <td>-5.705278</td>\n",
       "      <td>121.713056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3911</th>\n",
       "      <td>4805</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>2017-11-24 23:00:25</td>\n",
       "      <td>5947.85</td>\n",
       "      <td>2017-12-02 22:12:30</td>\n",
       "      <td>0.896532</td>\n",
       "      <td>2017-11-24 06:20:40</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-02 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>ETDPF000</td>\n",
       "      <td>late</td>\n",
       "      <td>1625.30</td>\n",
       "      <td>17.667222</td>\n",
       "      <td>191.201389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3912</th>\n",
       "      <td>4872</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>WB23B7298</td>\n",
       "      <td>2017-11-30 14:58:09</td>\n",
       "      <td>6820.49</td>\n",
       "      <td>2017-12-05 01:34:25</td>\n",
       "      <td>0.931364</td>\n",
       "      <td>2017-11-28 11:02:52</td>\n",
       "      <td>2017-11-28 00:00:00</td>\n",
       "      <td>2017-12-06 00:00:00</td>\n",
       "      <td>2017-12-05 12:52:17</td>\n",
       "      <td>ETU3G000</td>\n",
       "      <td>early</td>\n",
       "      <td>1509.52</td>\n",
       "      <td>-22.176389</td>\n",
       "      <td>106.604444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3913</th>\n",
       "      <td>3909</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>AP04TX2171</td>\n",
       "      <td>2017-11-22 19:30:49</td>\n",
       "      <td>8130.89</td>\n",
       "      <td>2017-11-24 03:29:09</td>\n",
       "      <td>0.250613</td>\n",
       "      <td>2017-11-22 14:50:16</td>\n",
       "      <td>2017-11-22 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:00</td>\n",
       "      <td>2017-11-28 05:08:28</td>\n",
       "      <td>ETAHF000</td>\n",
       "      <td>early</td>\n",
       "      <td>376.19</td>\n",
       "      <td>-153.696667</td>\n",
       "      <td>31.972222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3914</th>\n",
       "      <td>3924</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>AP05TF2187</td>\n",
       "      <td>2017-11-02 23:14:24</td>\n",
       "      <td>10629.83</td>\n",
       "      <td>2017-11-03 23:10:37</td>\n",
       "      <td>0.019795</td>\n",
       "      <td>2017-11-02 03:55:34</td>\n",
       "      <td>2017-11-02 00:00:00</td>\n",
       "      <td>2017-11-14 00:00:00</td>\n",
       "      <td>2017-11-07 14:22:19</td>\n",
       "      <td>ETOSD000</td>\n",
       "      <td>early</td>\n",
       "      <td>375.88</td>\n",
       "      <td>-157.554167</td>\n",
       "      <td>23.936944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3915</th>\n",
       "      <td>3971</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>AP07TU2566</td>\n",
       "      <td>2017-11-19 14:40:40</td>\n",
       "      <td>5239.46</td>\n",
       "      <td>2017-11-24 03:34:53</td>\n",
       "      <td>0.586977</td>\n",
       "      <td>2017-11-19 03:36:54</td>\n",
       "      <td>2017-11-19 00:00:00</td>\n",
       "      <td>2017-11-28 00:00:00</td>\n",
       "      <td>2017-11-28 05:11:51</td>\n",
       "      <td>ETD6F000</td>\n",
       "      <td>on-time</td>\n",
       "      <td>374.88</td>\n",
       "      <td>1.582500</td>\n",
       "      <td>108.903611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3916</th>\n",
       "      <td>4004</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>BR02GA3943</td>\n",
       "      <td>2017-12-01 00:18:48</td>\n",
       "      <td>7898.50</td>\n",
       "      <td>2017-12-03 05:35:54</td>\n",
       "      <td>0.651159</td>\n",
       "      <td>2017-11-30 05:35:54</td>\n",
       "      <td>2017-11-30 00:00:00</td>\n",
       "      <td>2017-12-08 00:00:00</td>\n",
       "      <td>2017-12-05 18:44:15</td>\n",
       "      <td>ETF9G000</td>\n",
       "      <td>early</td>\n",
       "      <td>375.83</td>\n",
       "      <td>-58.860833</td>\n",
       "      <td>53.285000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3917</th>\n",
       "      <td>4028</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>CG04DK4870</td>\n",
       "      <td>2017-11-16 04:16:28</td>\n",
       "      <td>8004.95</td>\n",
       "      <td>2017-11-20 04:23:23</td>\n",
       "      <td>0.969638</td>\n",
       "      <td>2017-11-15 04:41:42</td>\n",
       "      <td>2017-11-15 00:00:00</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-22 06:14:30</td>\n",
       "      <td>ETNUE000</td>\n",
       "      <td>early</td>\n",
       "      <td>374.49</td>\n",
       "      <td>-46.453333</td>\n",
       "      <td>96.115278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3918</th>\n",
       "      <td>4051</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>CG04FB5095</td>\n",
       "      <td>2017-11-29 04:48:49</td>\n",
       "      <td>5580.21</td>\n",
       "      <td>2017-12-02 07:35:20</td>\n",
       "      <td>0.639690</td>\n",
       "      <td>2017-11-28 04:23:30</td>\n",
       "      <td>2017-11-28 00:00:00</td>\n",
       "      <td>2017-12-10 00:00:00</td>\n",
       "      <td>2017-12-05 19:24:21</td>\n",
       "      <td>ETV2G000</td>\n",
       "      <td>early</td>\n",
       "      <td>375.67</td>\n",
       "      <td>-104.985833</td>\n",
       "      <td>74.775278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3919</th>\n",
       "      <td>4073</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>CG08L3445</td>\n",
       "      <td>2017-11-25 04:00:27</td>\n",
       "      <td>6095.94</td>\n",
       "      <td>2017-11-26 16:31:20</td>\n",
       "      <td>0.309588</td>\n",
       "      <td>2017-11-23 20:14:09</td>\n",
       "      <td>2017-11-23 00:00:00</td>\n",
       "      <td>2017-12-02 00:00:00</td>\n",
       "      <td>2017-11-29 00:04:35</td>\n",
       "      <td>ETHOF000</td>\n",
       "      <td>early</td>\n",
       "      <td>375.35</td>\n",
       "      <td>-92.159444</td>\n",
       "      <td>36.514722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3920</th>\n",
       "      <td>4093</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>JH01AE6027</td>\n",
       "      <td>2017-11-06 00:16:58</td>\n",
       "      <td>7665.39</td>\n",
       "      <td>2017-11-10 06:52:59</td>\n",
       "      <td>0.865285</td>\n",
       "      <td>2017-11-04 20:05:00</td>\n",
       "      <td>2017-11-04 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-13 01:39:39</td>\n",
       "      <td>ETJ0E000</td>\n",
       "      <td>early</td>\n",
       "      <td>374.07</td>\n",
       "      <td>-18.422500</td>\n",
       "      <td>102.600278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3921</th>\n",
       "      <td>4115</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>JH01AE6027</td>\n",
       "      <td>2017-11-29 01:25:09</td>\n",
       "      <td>4964.13</td>\n",
       "      <td>2017-12-01 06:22:44</td>\n",
       "      <td>0.492805</td>\n",
       "      <td>2017-11-28 04:45:02</td>\n",
       "      <td>2017-11-28 00:00:00</td>\n",
       "      <td>2017-12-10 00:00:00</td>\n",
       "      <td>2017-12-04 00:07:24</td>\n",
       "      <td>ET93G000</td>\n",
       "      <td>early</td>\n",
       "      <td>309.55</td>\n",
       "      <td>-148.627222</td>\n",
       "      <td>52.959722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3922</th>\n",
       "      <td>4124</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>JH02M1289</td>\n",
       "      <td>2017-11-29 23:09:26</td>\n",
       "      <td>7439.05</td>\n",
       "      <td>2017-12-02 21:19:22</td>\n",
       "      <td>0.862849</td>\n",
       "      <td>2017-11-28 12:44:22</td>\n",
       "      <td>2017-11-28 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:00</td>\n",
       "      <td>2017-12-06 02:38:16</td>\n",
       "      <td>ET04G000</td>\n",
       "      <td>late</td>\n",
       "      <td>374.88</td>\n",
       "      <td>37.898333</td>\n",
       "      <td>70.165556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3923</th>\n",
       "      <td>4166</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>JH05AE4540</td>\n",
       "      <td>2017-11-25 22:40:42</td>\n",
       "      <td>8857.59</td>\n",
       "      <td>2017-11-28 06:06:16</td>\n",
       "      <td>0.706134</td>\n",
       "      <td>2017-11-24 06:15:14</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:00</td>\n",
       "      <td>2017-12-01 00:11:55</td>\n",
       "      <td>ET9PF000</td>\n",
       "      <td>early</td>\n",
       "      <td>340.90</td>\n",
       "      <td>-54.055278</td>\n",
       "      <td>55.426111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3924</th>\n",
       "      <td>4189</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>JH05BQ1509</td>\n",
       "      <td>2017-11-14 22:58:28</td>\n",
       "      <td>5354.79</td>\n",
       "      <td>2017-11-18 01:36:53</td>\n",
       "      <td>0.420274</td>\n",
       "      <td>2017-11-12 16:55:44</td>\n",
       "      <td>2017-11-12 00:00:00</td>\n",
       "      <td>2017-11-21 00:00:00</td>\n",
       "      <td>2017-11-20 03:36:34</td>\n",
       "      <td>ET9NE000</td>\n",
       "      <td>early</td>\n",
       "      <td>317.47</td>\n",
       "      <td>-37.319444</td>\n",
       "      <td>74.640278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3925</th>\n",
       "      <td>4209</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>JH05V5242</td>\n",
       "      <td>2017-11-03 02:33:06</td>\n",
       "      <td>4399.99</td>\n",
       "      <td>2017-11-04 05:45:54</td>\n",
       "      <td>0.336488</td>\n",
       "      <td>2017-11-02 05:29:47</td>\n",
       "      <td>2017-11-02 00:00:00</td>\n",
       "      <td>2017-11-14 00:00:00</td>\n",
       "      <td>2017-11-06 19:16:19</td>\n",
       "      <td>ETUSD000</td>\n",
       "      <td>early</td>\n",
       "      <td>374.92</td>\n",
       "      <td>-178.224444</td>\n",
       "      <td>27.213333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3926</th>\n",
       "      <td>4230</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>JH10BR9134</td>\n",
       "      <td>2017-11-16 02:42:03</td>\n",
       "      <td>3576.00</td>\n",
       "      <td>2017-11-17 07:35:59</td>\n",
       "      <td>0.579414</td>\n",
       "      <td>2017-11-12 04:19:43</td>\n",
       "      <td>2017-11-12 00:00:00</td>\n",
       "      <td>2017-11-21 00:00:00</td>\n",
       "      <td>2017-11-19 17:35:02</td>\n",
       "      <td>ETCME000</td>\n",
       "      <td>early</td>\n",
       "      <td>281.54</td>\n",
       "      <td>-34.744722</td>\n",
       "      <td>28.898889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3927</th>\n",
       "      <td>4253</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>NL01N5129</td>\n",
       "      <td>2017-11-08 01:40:00</td>\n",
       "      <td>2292.00</td>\n",
       "      <td>2017-11-11 02:40:22</td>\n",
       "      <td>0.726055</td>\n",
       "      <td>2017-11-07 11:34:36</td>\n",
       "      <td>2017-11-06 00:00:00</td>\n",
       "      <td>2017-11-18 00:00:00</td>\n",
       "      <td>2017-11-14 00:13:18</td>\n",
       "      <td>ETR2E000</td>\n",
       "      <td>early</td>\n",
       "      <td>374.83</td>\n",
       "      <td>-131.355000</td>\n",
       "      <td>73.006111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3928</th>\n",
       "      <td>4276</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>OD04D0605</td>\n",
       "      <td>2017-11-17 23:55:19</td>\n",
       "      <td>6260.34</td>\n",
       "      <td>2017-11-21 01:06:56</td>\n",
       "      <td>0.943187</td>\n",
       "      <td>2017-11-17 03:30:32</td>\n",
       "      <td>2017-11-17 00:00:00</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-23 19:17:38</td>\n",
       "      <td>ETQ1F000</td>\n",
       "      <td>on-time</td>\n",
       "      <td>375.27</td>\n",
       "      <td>-8.215000</td>\n",
       "      <td>73.193611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3929</th>\n",
       "      <td>4298</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>OD04D5891</td>\n",
       "      <td>2017-11-22 04:08:15</td>\n",
       "      <td>10211.63</td>\n",
       "      <td>2017-11-25 17:19:43</td>\n",
       "      <td>0.404579</td>\n",
       "      <td>2017-11-21 12:35:07</td>\n",
       "      <td>2017-11-21 00:00:00</td>\n",
       "      <td>2017-11-30 00:00:00</td>\n",
       "      <td>2017-11-27 21:19:27</td>\n",
       "      <td>ETVAF000</td>\n",
       "      <td>early</td>\n",
       "      <td>375.65</td>\n",
       "      <td>-63.261111</td>\n",
       "      <td>85.191111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3930</th>\n",
       "      <td>4335</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>OD04F2036</td>\n",
       "      <td>2017-11-17 00:23:36</td>\n",
       "      <td>7918.89</td>\n",
       "      <td>2017-11-19 09:20:30</td>\n",
       "      <td>0.195008</td>\n",
       "      <td>2017-11-15 04:28:47</td>\n",
       "      <td>2017-11-15 00:00:00</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-22 00:05:58</td>\n",
       "      <td>ETBUE000</td>\n",
       "      <td>early</td>\n",
       "      <td>375.33</td>\n",
       "      <td>-52.380278</td>\n",
       "      <td>56.948333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3931</th>\n",
       "      <td>4442</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>OR01S7415</td>\n",
       "      <td>2017-11-21 23:28:00</td>\n",
       "      <td>6177.34</td>\n",
       "      <td>2017-11-24 13:24:38</td>\n",
       "      <td>0.388891</td>\n",
       "      <td>2017-11-20 15:38:34</td>\n",
       "      <td>2017-11-19 00:00:00</td>\n",
       "      <td>2017-11-27 00:00:00</td>\n",
       "      <td>2017-11-27 03:47:21</td>\n",
       "      <td>ETF6F000</td>\n",
       "      <td>early</td>\n",
       "      <td>377.35</td>\n",
       "      <td>-35.853611</td>\n",
       "      <td>61.943889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3932</th>\n",
       "      <td>4464</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>2017-11-05 08:50:35</td>\n",
       "      <td>3828.23</td>\n",
       "      <td>2017-11-08 08:46:18</td>\n",
       "      <td>0.772920</td>\n",
       "      <td>2017-11-05 03:29:14</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-18 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>ETC1E000</td>\n",
       "      <td>early</td>\n",
       "      <td>375.60</td>\n",
       "      <td>-172.486944</td>\n",
       "      <td>71.928611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3933</th>\n",
       "      <td>4486</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>2017-11-27 03:32:37</td>\n",
       "      <td>6057.61</td>\n",
       "      <td>2017-11-28 09:39:14</td>\n",
       "      <td>0.305959</td>\n",
       "      <td>2017-11-25 05:57:26</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-07 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>ETXSF000</td>\n",
       "      <td>early</td>\n",
       "      <td>375.78</td>\n",
       "      <td>-77.942500</td>\n",
       "      <td>30.110278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4864</th>\n",
       "      <td>4245</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>JH10BR9134</td>\n",
       "      <td>2017-11-16 02:42:03</td>\n",
       "      <td>4478.67</td>\n",
       "      <td>2017-11-18 22:02:15</td>\n",
       "      <td>0.625615</td>\n",
       "      <td>2017-11-12 04:19:43</td>\n",
       "      <td>2017-11-12 00:00:00</td>\n",
       "      <td>2017-11-21 00:00:00</td>\n",
       "      <td>2017-11-19 17:35:02</td>\n",
       "      <td>ETCME000</td>\n",
       "      <td>early</td>\n",
       "      <td>1184.21</td>\n",
       "      <td>-34.744722</td>\n",
       "      <td>67.336667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4865</th>\n",
       "      <td>4266</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>NL01N5129</td>\n",
       "      <td>2017-11-08 01:40:00</td>\n",
       "      <td>3149.96</td>\n",
       "      <td>2017-11-13 05:43:40</td>\n",
       "      <td>0.753633</td>\n",
       "      <td>2017-11-07 11:34:36</td>\n",
       "      <td>2017-11-06 00:00:00</td>\n",
       "      <td>2017-11-18 00:00:00</td>\n",
       "      <td>2017-11-14 00:13:18</td>\n",
       "      <td>ETR2E000</td>\n",
       "      <td>early</td>\n",
       "      <td>1232.79</td>\n",
       "      <td>-131.355000</td>\n",
       "      <td>124.061111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4866</th>\n",
       "      <td>4289</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OD04D0605</td>\n",
       "      <td>2017-11-17 23:55:19</td>\n",
       "      <td>7129.29</td>\n",
       "      <td>2017-11-23 06:21:42</td>\n",
       "      <td>0.633657</td>\n",
       "      <td>2017-11-17 03:30:32</td>\n",
       "      <td>2017-11-17 00:00:00</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-23 19:17:38</td>\n",
       "      <td>ETQ1F000</td>\n",
       "      <td>on-time</td>\n",
       "      <td>1244.22</td>\n",
       "      <td>-8.215000</td>\n",
       "      <td>126.439722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4867</th>\n",
       "      <td>4311</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OD04D5891</td>\n",
       "      <td>2017-11-22 04:08:15</td>\n",
       "      <td>11077.49</td>\n",
       "      <td>2017-11-27 07:48:13</td>\n",
       "      <td>0.540692</td>\n",
       "      <td>2017-11-21 12:35:07</td>\n",
       "      <td>2017-11-21 00:00:00</td>\n",
       "      <td>2017-11-30 00:00:00</td>\n",
       "      <td>2017-11-27 21:19:27</td>\n",
       "      <td>ETVAF000</td>\n",
       "      <td>early</td>\n",
       "      <td>1241.51</td>\n",
       "      <td>-63.261111</td>\n",
       "      <td>123.666111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4868</th>\n",
       "      <td>4348</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OD04F2036</td>\n",
       "      <td>2017-11-17 00:23:36</td>\n",
       "      <td>8786.77</td>\n",
       "      <td>2017-11-21 08:52:11</td>\n",
       "      <td>0.996598</td>\n",
       "      <td>2017-11-15 04:28:47</td>\n",
       "      <td>2017-11-15 00:00:00</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-22 00:05:58</td>\n",
       "      <td>ETBUE000</td>\n",
       "      <td>early</td>\n",
       "      <td>1243.21</td>\n",
       "      <td>-52.380278</td>\n",
       "      <td>104.476389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4869</th>\n",
       "      <td>4368</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OD04G4791</td>\n",
       "      <td>2017-11-03 10:25:26</td>\n",
       "      <td>5165.14</td>\n",
       "      <td>2017-11-07 07:51:04</td>\n",
       "      <td>0.623074</td>\n",
       "      <td>2017-11-02 15:21:26</td>\n",
       "      <td>2017-11-02 00:00:00</td>\n",
       "      <td>2017-11-11 00:00:00</td>\n",
       "      <td>2017-11-07 19:25:07</td>\n",
       "      <td>ETFTD000</td>\n",
       "      <td>early</td>\n",
       "      <td>1239.02</td>\n",
       "      <td>-91.938611</td>\n",
       "      <td>93.427222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4870</th>\n",
       "      <td>4388</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OD04G4791</td>\n",
       "      <td>2017-11-24 15:01:49</td>\n",
       "      <td>7680.15</td>\n",
       "      <td>2017-11-29 07:21:11</td>\n",
       "      <td>0.890431</td>\n",
       "      <td>2017-11-23 00:00:59</td>\n",
       "      <td>2017-11-23 00:00:00</td>\n",
       "      <td>2017-12-02 00:00:00</td>\n",
       "      <td>2017-11-30 04:29:29</td>\n",
       "      <td>ETBLF000</td>\n",
       "      <td>early</td>\n",
       "      <td>1243.67</td>\n",
       "      <td>-43.525000</td>\n",
       "      <td>112.322778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4871</th>\n",
       "      <td>4410</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OD04H5921</td>\n",
       "      <td>2017-11-24 10:43:11</td>\n",
       "      <td>6967.66</td>\n",
       "      <td>2017-11-29 07:20:12</td>\n",
       "      <td>0.882570</td>\n",
       "      <td>2017-11-22 02:40:50</td>\n",
       "      <td>2017-11-22 00:00:00</td>\n",
       "      <td>2017-11-30 00:00:00</td>\n",
       "      <td>2017-11-29 20:25:17</td>\n",
       "      <td>ET3JF000</td>\n",
       "      <td>on-time</td>\n",
       "      <td>1241.19</td>\n",
       "      <td>-6.259167</td>\n",
       "      <td>116.616944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4872</th>\n",
       "      <td>4431</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OD07M1151</td>\n",
       "      <td>2017-11-30 04:58:30</td>\n",
       "      <td>9529.49</td>\n",
       "      <td>2017-12-02 22:39:01</td>\n",
       "      <td>0.790957</td>\n",
       "      <td>2017-11-29 05:00:12</td>\n",
       "      <td>2017-11-29 00:00:00</td>\n",
       "      <td>2017-12-07 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:14</td>\n",
       "      <td>ET46G000</td>\n",
       "      <td>early</td>\n",
       "      <td>1258.57</td>\n",
       "      <td>-76.999444</td>\n",
       "      <td>65.675278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4873</th>\n",
       "      <td>4455</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR01S7415</td>\n",
       "      <td>2017-11-21 23:28:00</td>\n",
       "      <td>7062.03</td>\n",
       "      <td>2017-11-26 08:55:07</td>\n",
       "      <td>0.668996</td>\n",
       "      <td>2017-11-20 15:38:34</td>\n",
       "      <td>2017-11-19 00:00:00</td>\n",
       "      <td>2017-11-27 00:00:00</td>\n",
       "      <td>2017-11-27 03:47:21</td>\n",
       "      <td>ETF6F000</td>\n",
       "      <td>early</td>\n",
       "      <td>1262.04</td>\n",
       "      <td>-35.853611</td>\n",
       "      <td>105.451944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4874</th>\n",
       "      <td>4476</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>2017-11-05 08:50:35</td>\n",
       "      <td>4678.48</td>\n",
       "      <td>2017-11-09 22:21:41</td>\n",
       "      <td>0.014158</td>\n",
       "      <td>2017-11-05 03:29:14</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-18 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>ETC1E000</td>\n",
       "      <td>early</td>\n",
       "      <td>1225.85</td>\n",
       "      <td>-172.486944</td>\n",
       "      <td>109.518333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4875</th>\n",
       "      <td>4498</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>2017-11-27 03:32:37</td>\n",
       "      <td>6925.91</td>\n",
       "      <td>2017-11-29 23:32:19</td>\n",
       "      <td>0.775342</td>\n",
       "      <td>2017-11-25 05:57:26</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-07 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>ETXSF000</td>\n",
       "      <td>early</td>\n",
       "      <td>1244.08</td>\n",
       "      <td>-77.942500</td>\n",
       "      <td>67.995000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4876</th>\n",
       "      <td>4522</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR04M6922</td>\n",
       "      <td>2017-12-01 04:19:37</td>\n",
       "      <td>10034.88</td>\n",
       "      <td>2017-12-04 04:54:18</td>\n",
       "      <td>0.964172</td>\n",
       "      <td>2017-11-30 13:22:01</td>\n",
       "      <td>2017-11-30 00:00:00</td>\n",
       "      <td>2017-12-12 00:00:00</td>\n",
       "      <td>2017-12-06 00:00:41</td>\n",
       "      <td>ETNAG000</td>\n",
       "      <td>early</td>\n",
       "      <td>1239.92</td>\n",
       "      <td>-157.355556</td>\n",
       "      <td>72.578056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4877</th>\n",
       "      <td>4542</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR05AJ1525</td>\n",
       "      <td>2017-11-29 10:21:45</td>\n",
       "      <td>10038.21</td>\n",
       "      <td>2017-12-05 04:43:36</td>\n",
       "      <td>0.831852</td>\n",
       "      <td>2017-11-29 05:15:06</td>\n",
       "      <td>2017-11-29 00:00:00</td>\n",
       "      <td>2017-12-07 00:00:00</td>\n",
       "      <td>2017-12-05 19:24:28</td>\n",
       "      <td>ETD6G000</td>\n",
       "      <td>early</td>\n",
       "      <td>1235.53</td>\n",
       "      <td>-33.843889</td>\n",
       "      <td>138.364167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4878</th>\n",
       "      <td>4564</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR05AJ4215</td>\n",
       "      <td>2017-11-17 01:37:52</td>\n",
       "      <td>8913.62</td>\n",
       "      <td>2017-11-20 22:00:29</td>\n",
       "      <td>0.273659</td>\n",
       "      <td>2017-11-16 10:35:39</td>\n",
       "      <td>2017-11-16 00:00:00</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-11-21 22:38:27</td>\n",
       "      <td>ETMYE000</td>\n",
       "      <td>early</td>\n",
       "      <td>1239.06</td>\n",
       "      <td>-83.953333</td>\n",
       "      <td>92.376944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4879</th>\n",
       "      <td>4587</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR05AJ8915</td>\n",
       "      <td>2017-11-25 02:04:10</td>\n",
       "      <td>6387.49</td>\n",
       "      <td>2017-11-29 12:07:25</td>\n",
       "      <td>0.660231</td>\n",
       "      <td>2017-11-23 13:41:43</td>\n",
       "      <td>2017-11-23 00:00:00</td>\n",
       "      <td>2017-12-05 00:00:00</td>\n",
       "      <td>2017-11-30 05:37:34</td>\n",
       "      <td>ETOMF000</td>\n",
       "      <td>early</td>\n",
       "      <td>1243.76</td>\n",
       "      <td>-128.069167</td>\n",
       "      <td>106.054167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4880</th>\n",
       "      <td>4609</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR05U6821</td>\n",
       "      <td>2017-11-17 03:04:44</td>\n",
       "      <td>7876.92</td>\n",
       "      <td>2017-11-21 12:24:06</td>\n",
       "      <td>0.492098</td>\n",
       "      <td>2017-11-15 19:16:02</td>\n",
       "      <td>2017-11-15 00:00:00</td>\n",
       "      <td>2017-11-19 00:00:00</td>\n",
       "      <td>2017-11-22 01:59:53</td>\n",
       "      <td>ETOWE000</td>\n",
       "      <td>late</td>\n",
       "      <td>1235.68</td>\n",
       "      <td>54.730833</td>\n",
       "      <td>105.322778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4881</th>\n",
       "      <td>4631</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR07J9793</td>\n",
       "      <td>2017-11-16 10:55:02</td>\n",
       "      <td>6166.72</td>\n",
       "      <td>2017-11-20 18:24:37</td>\n",
       "      <td>0.992554</td>\n",
       "      <td>2017-11-12 20:03:47</td>\n",
       "      <td>2017-11-12 00:00:00</td>\n",
       "      <td>2017-11-21 00:00:00</td>\n",
       "      <td>2017-11-21 06:21:58</td>\n",
       "      <td>ETANE000</td>\n",
       "      <td>early</td>\n",
       "      <td>1231.91</td>\n",
       "      <td>-13.696944</td>\n",
       "      <td>103.493056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4882</th>\n",
       "      <td>4651</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR07V0091</td>\n",
       "      <td>2017-11-27 03:16:12</td>\n",
       "      <td>10779.19</td>\n",
       "      <td>2017-11-30 08:13:50</td>\n",
       "      <td>0.543652</td>\n",
       "      <td>2017-11-25 06:03:58</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-07 00:00:00</td>\n",
       "      <td>2017-12-04 00:14:03</td>\n",
       "      <td>ETZSF000</td>\n",
       "      <td>early</td>\n",
       "      <td>1236.13</td>\n",
       "      <td>-77.831944</td>\n",
       "      <td>76.960556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4883</th>\n",
       "      <td>4675</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR07V2855</td>\n",
       "      <td>2017-11-25 16:07:11</td>\n",
       "      <td>6921.81</td>\n",
       "      <td>2017-12-02 07:26:26</td>\n",
       "      <td>0.609538</td>\n",
       "      <td>2017-11-23 05:08:47</td>\n",
       "      <td>2017-11-23 00:00:00</td>\n",
       "      <td>2017-12-02 00:00:00</td>\n",
       "      <td>2017-12-02 18:17:05</td>\n",
       "      <td>ETDLF000</td>\n",
       "      <td>late</td>\n",
       "      <td>1237.24</td>\n",
       "      <td>13.138333</td>\n",
       "      <td>159.320833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4884</th>\n",
       "      <td>4685</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR07V5231</td>\n",
       "      <td>2017-11-28 00:14:13</td>\n",
       "      <td>6489.94</td>\n",
       "      <td>2017-12-04 15:03:30</td>\n",
       "      <td>0.368364</td>\n",
       "      <td>2017-11-26 04:50:55</td>\n",
       "      <td>2017-11-26 00:00:00</td>\n",
       "      <td>2017-12-08 00:00:00</td>\n",
       "      <td>2017-12-05 22:53:58</td>\n",
       "      <td>ETBXF000</td>\n",
       "      <td>early</td>\n",
       "      <td>261.40</td>\n",
       "      <td>-53.949167</td>\n",
       "      <td>158.821389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4885</th>\n",
       "      <td>4706</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>2017-11-08 23:03:05</td>\n",
       "      <td>3569.31</td>\n",
       "      <td>2017-11-12 09:07:28</td>\n",
       "      <td>0.996979</td>\n",
       "      <td>2017-11-05 03:50:03</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-17 00:00:00</td>\n",
       "      <td>2017-11-12 21:21:39</td>\n",
       "      <td>ETB1E000</td>\n",
       "      <td>early</td>\n",
       "      <td>1128.01</td>\n",
       "      <td>-102.473333</td>\n",
       "      <td>82.073056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4886</th>\n",
       "      <td>4727</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>2017-11-26 22:59:12</td>\n",
       "      <td>5284.57</td>\n",
       "      <td>2017-11-30 17:08:40</td>\n",
       "      <td>0.545015</td>\n",
       "      <td>2017-11-25 14:02:01</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:00</td>\n",
       "      <td>2017-12-04 08:19:42</td>\n",
       "      <td>ETHUF000</td>\n",
       "      <td>on-time</td>\n",
       "      <td>1240.00</td>\n",
       "      <td>-5.705278</td>\n",
       "      <td>90.157778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4887</th>\n",
       "      <td>4751</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR07Y7231</td>\n",
       "      <td>2017-11-23 23:58:17</td>\n",
       "      <td>11809.22</td>\n",
       "      <td>2017-11-27 19:29:10</td>\n",
       "      <td>0.406553</td>\n",
       "      <td>2017-11-18 02:42:47</td>\n",
       "      <td>2017-11-18 00:00:00</td>\n",
       "      <td>2017-11-26 00:00:00</td>\n",
       "      <td>2017-11-28 17:35:14</td>\n",
       "      <td>ETS4F000</td>\n",
       "      <td>late</td>\n",
       "      <td>1250.55</td>\n",
       "      <td>62.874167</td>\n",
       "      <td>91.514722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>4778</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR07Y9451</td>\n",
       "      <td>2017-11-25 03:56:05</td>\n",
       "      <td>7896.21</td>\n",
       "      <td>2017-11-29 13:03:23</td>\n",
       "      <td>0.382273</td>\n",
       "      <td>2017-11-23 20:27:29</td>\n",
       "      <td>2017-11-23 00:00:00</td>\n",
       "      <td>2017-12-02 00:00:00</td>\n",
       "      <td>2017-11-30 14:02:15</td>\n",
       "      <td>ETIOF000</td>\n",
       "      <td>early</td>\n",
       "      <td>1233.81</td>\n",
       "      <td>-54.420556</td>\n",
       "      <td>105.121667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4889</th>\n",
       "      <td>4800</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>2017-11-24 23:00:25</td>\n",
       "      <td>5570.52</td>\n",
       "      <td>2017-12-01 15:05:09</td>\n",
       "      <td>0.419097</td>\n",
       "      <td>2017-11-24 06:20:40</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-02 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>ETDPF000</td>\n",
       "      <td>late</td>\n",
       "      <td>1247.97</td>\n",
       "      <td>17.667222</td>\n",
       "      <td>160.078889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>4824</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>TN30BC5699</td>\n",
       "      <td>2017-11-03 14:57:08</td>\n",
       "      <td>5179.15</td>\n",
       "      <td>2017-11-06 06:34:06</td>\n",
       "      <td>0.827115</td>\n",
       "      <td>2017-11-03 03:23:06</td>\n",
       "      <td>2017-11-03 00:00:00</td>\n",
       "      <td>2017-11-15 00:00:00</td>\n",
       "      <td>2017-11-06 18:29:09</td>\n",
       "      <td>ETXUD000</td>\n",
       "      <td>early</td>\n",
       "      <td>1244.73</td>\n",
       "      <td>-200.899167</td>\n",
       "      <td>63.616111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4891</th>\n",
       "      <td>4846</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>TN36Y9906</td>\n",
       "      <td>2017-11-04 23:23:59</td>\n",
       "      <td>7417.07</td>\n",
       "      <td>2017-11-08 21:28:31</td>\n",
       "      <td>0.576954</td>\n",
       "      <td>2017-11-04 05:45:21</td>\n",
       "      <td>2017-11-04 00:00:00</td>\n",
       "      <td>2017-11-16 00:00:00</td>\n",
       "      <td>2017-11-10 03:37:24</td>\n",
       "      <td>ETOYD000</td>\n",
       "      <td>early</td>\n",
       "      <td>1234.21</td>\n",
       "      <td>-146.132500</td>\n",
       "      <td>94.075556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4892</th>\n",
       "      <td>4867</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>WB23B7298</td>\n",
       "      <td>2017-11-30 14:58:09</td>\n",
       "      <td>6476.74</td>\n",
       "      <td>2017-12-04 09:39:59</td>\n",
       "      <td>0.369053</td>\n",
       "      <td>2017-11-28 11:02:52</td>\n",
       "      <td>2017-11-28 00:00:00</td>\n",
       "      <td>2017-12-06 00:00:00</td>\n",
       "      <td>2017-12-05 12:52:17</td>\n",
       "      <td>ETU3G000</td>\n",
       "      <td>early</td>\n",
       "      <td>1165.77</td>\n",
       "      <td>-22.176389</td>\n",
       "      <td>90.697222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4893</th>\n",
       "      <td>4890</td>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>WB23C9411</td>\n",
       "      <td>2017-11-09 23:01:14</td>\n",
       "      <td>2808.90</td>\n",
       "      <td>2017-11-17 20:28:53</td>\n",
       "      <td>0.870039</td>\n",
       "      <td>2017-11-05 14:17:59</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-13 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>ET42E000</td>\n",
       "      <td>late</td>\n",
       "      <td>1242.01</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>189.460833</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>990 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0      origin destination                           toll_both  \\\n",
       "3904        4099  Jamshedpur       HOSUR                          Aganampudi   \n",
       "3905        4837  Jamshedpur       HOSUR                          Aganampudi   \n",
       "3906        4022  Jamshedpur       HOSUR                     Attibele (BETL)   \n",
       "3907        4436  Jamshedpur       HOSUR                     Attibele (BETL)   \n",
       "3908        4503  Jamshedpur       HOSUR                     Attibele (BETL)   \n",
       "3909        4656  Jamshedpur       HOSUR                     Attibele (BETL)   \n",
       "3910        4732  Jamshedpur       HOSUR                     Attibele (BETL)   \n",
       "3911        4805  Jamshedpur       HOSUR                     Attibele (BETL)   \n",
       "3912        4872  Jamshedpur       HOSUR                     Attibele (BETL)   \n",
       "3913        3909  Jamshedpur       HOSUR                           Bellupada   \n",
       "3914        3924  Jamshedpur       HOSUR                           Bellupada   \n",
       "3915        3971  Jamshedpur       HOSUR                           Bellupada   \n",
       "3916        4004  Jamshedpur       HOSUR                           Bellupada   \n",
       "3917        4028  Jamshedpur       HOSUR                           Bellupada   \n",
       "3918        4051  Jamshedpur       HOSUR                           Bellupada   \n",
       "3919        4073  Jamshedpur       HOSUR                           Bellupada   \n",
       "3920        4093  Jamshedpur       HOSUR                           Bellupada   \n",
       "3921        4115  Jamshedpur       HOSUR                           Bellupada   \n",
       "3922        4124  Jamshedpur       HOSUR                           Bellupada   \n",
       "3923        4166  Jamshedpur       HOSUR                           Bellupada   \n",
       "3924        4189  Jamshedpur       HOSUR                           Bellupada   \n",
       "3925        4209  Jamshedpur       HOSUR                           Bellupada   \n",
       "3926        4230  Jamshedpur       HOSUR                           Bellupada   \n",
       "3927        4253  Jamshedpur       HOSUR                           Bellupada   \n",
       "3928        4276  Jamshedpur       HOSUR                           Bellupada   \n",
       "3929        4298  Jamshedpur       HOSUR                           Bellupada   \n",
       "3930        4335  Jamshedpur       HOSUR                           Bellupada   \n",
       "3931        4442  Jamshedpur       HOSUR                           Bellupada   \n",
       "3932        4464  Jamshedpur       HOSUR                           Bellupada   \n",
       "3933        4486  Jamshedpur       HOSUR                           Bellupada   \n",
       "...          ...         ...         ...                                 ...   \n",
       "4864        4245  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4865        4266  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4866        4289  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4867        4311  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4868        4348  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4869        4368  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4870        4388  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4871        4410  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4872        4431  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4873        4455  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4874        4476  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4875        4498  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4876        4522  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4877        4542  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4878        4564  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4879        4587  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4880        4609  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4881        4631  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4882        4651  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4883        4675  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4884        4685  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4885        4706  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4886        4727  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4887        4751  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4888        4778  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4889        4800  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4890        4824  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4891        4846  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4892        4867  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "4893        4890  Jamshedpur       HOSUR  Venkatachallam &#160;(Old Nellore)   \n",
       "\n",
       "      vehicle_no     loading_out_time  odometer_km        ist_timestamp  \\\n",
       "3904  JH01AE6027  2017-11-06 00:16:58      7915.73  2017-11-10 22:14:15   \n",
       "3905   TN36Y9906  2017-11-04 23:23:59      6810.38  2017-11-07 01:37:32   \n",
       "3906  BR02GA3943  2017-12-01 00:18:48      9133.44  2017-12-04 21:51:11   \n",
       "3907   OD07M1151  2017-11-30 04:58:30      9912.20  2017-12-03 23:40:14   \n",
       "3908   OR04M5329  2017-11-27 03:32:37      7302.32  2017-11-30 23:16:39   \n",
       "3909   OR07V0091  2017-11-27 03:16:12     11154.36  2017-11-30 22:57:04   \n",
       "3910   OR07W2988  2017-11-26 22:59:12      5659.67  2017-12-02 00:41:59   \n",
       "3911   OR11J1747  2017-11-24 23:00:25      5947.85  2017-12-02 22:12:30   \n",
       "3912   WB23B7298  2017-11-30 14:58:09      6820.49  2017-12-05 01:34:25   \n",
       "3913  AP04TX2171  2017-11-22 19:30:49      8130.89  2017-11-24 03:29:09   \n",
       "3914  AP05TF2187  2017-11-02 23:14:24     10629.83  2017-11-03 23:10:37   \n",
       "3915  AP07TU2566  2017-11-19 14:40:40      5239.46  2017-11-24 03:34:53   \n",
       "3916  BR02GA3943  2017-12-01 00:18:48      7898.50  2017-12-03 05:35:54   \n",
       "3917  CG04DK4870  2017-11-16 04:16:28      8004.95  2017-11-20 04:23:23   \n",
       "3918  CG04FB5095  2017-11-29 04:48:49      5580.21  2017-12-02 07:35:20   \n",
       "3919   CG08L3445  2017-11-25 04:00:27      6095.94  2017-11-26 16:31:20   \n",
       "3920  JH01AE6027  2017-11-06 00:16:58      7665.39  2017-11-10 06:52:59   \n",
       "3921  JH01AE6027  2017-11-29 01:25:09      4964.13  2017-12-01 06:22:44   \n",
       "3922   JH02M1289  2017-11-29 23:09:26      7439.05  2017-12-02 21:19:22   \n",
       "3923  JH05AE4540  2017-11-25 22:40:42      8857.59  2017-11-28 06:06:16   \n",
       "3924  JH05BQ1509  2017-11-14 22:58:28      5354.79  2017-11-18 01:36:53   \n",
       "3925   JH05V5242  2017-11-03 02:33:06      4399.99  2017-11-04 05:45:54   \n",
       "3926  JH10BR9134  2017-11-16 02:42:03      3576.00  2017-11-17 07:35:59   \n",
       "3927   NL01N5129  2017-11-08 01:40:00      2292.00  2017-11-11 02:40:22   \n",
       "3928   OD04D0605  2017-11-17 23:55:19      6260.34  2017-11-21 01:06:56   \n",
       "3929   OD04D5891  2017-11-22 04:08:15     10211.63  2017-11-25 17:19:43   \n",
       "3930   OD04F2036  2017-11-17 00:23:36      7918.89  2017-11-19 09:20:30   \n",
       "3931   OR01S7415  2017-11-21 23:28:00      6177.34  2017-11-24 13:24:38   \n",
       "3932   OR04M5329  2017-11-05 08:50:35      3828.23  2017-11-08 08:46:18   \n",
       "3933   OR04M5329  2017-11-27 03:32:37      6057.61  2017-11-28 09:39:14   \n",
       "...          ...                  ...          ...                  ...   \n",
       "4864  JH10BR9134  2017-11-16 02:42:03      4478.67  2017-11-18 22:02:15   \n",
       "4865   NL01N5129  2017-11-08 01:40:00      3149.96  2017-11-13 05:43:40   \n",
       "4866   OD04D0605  2017-11-17 23:55:19      7129.29  2017-11-23 06:21:42   \n",
       "4867   OD04D5891  2017-11-22 04:08:15     11077.49  2017-11-27 07:48:13   \n",
       "4868   OD04F2036  2017-11-17 00:23:36      8786.77  2017-11-21 08:52:11   \n",
       "4869   OD04G4791  2017-11-03 10:25:26      5165.14  2017-11-07 07:51:04   \n",
       "4870   OD04G4791  2017-11-24 15:01:49      7680.15  2017-11-29 07:21:11   \n",
       "4871   OD04H5921  2017-11-24 10:43:11      6967.66  2017-11-29 07:20:12   \n",
       "4872   OD07M1151  2017-11-30 04:58:30      9529.49  2017-12-02 22:39:01   \n",
       "4873   OR01S7415  2017-11-21 23:28:00      7062.03  2017-11-26 08:55:07   \n",
       "4874   OR04M5329  2017-11-05 08:50:35      4678.48  2017-11-09 22:21:41   \n",
       "4875   OR04M5329  2017-11-27 03:32:37      6925.91  2017-11-29 23:32:19   \n",
       "4876   OR04M6922  2017-12-01 04:19:37     10034.88  2017-12-04 04:54:18   \n",
       "4877  OR05AJ1525  2017-11-29 10:21:45     10038.21  2017-12-05 04:43:36   \n",
       "4878  OR05AJ4215  2017-11-17 01:37:52      8913.62  2017-11-20 22:00:29   \n",
       "4879  OR05AJ8915  2017-11-25 02:04:10      6387.49  2017-11-29 12:07:25   \n",
       "4880   OR05U6821  2017-11-17 03:04:44      7876.92  2017-11-21 12:24:06   \n",
       "4881   OR07J9793  2017-11-16 10:55:02      6166.72  2017-11-20 18:24:37   \n",
       "4882   OR07V0091  2017-11-27 03:16:12     10779.19  2017-11-30 08:13:50   \n",
       "4883   OR07V2855  2017-11-25 16:07:11      6921.81  2017-12-02 07:26:26   \n",
       "4884   OR07V5231  2017-11-28 00:14:13      6489.94  2017-12-04 15:03:30   \n",
       "4885   OR07W2988  2017-11-08 23:03:05      3569.31  2017-11-12 09:07:28   \n",
       "4886   OR07W2988  2017-11-26 22:59:12      5284.57  2017-11-30 17:08:40   \n",
       "4887   OR07Y7231  2017-11-23 23:58:17     11809.22  2017-11-27 19:29:10   \n",
       "4888   OR07Y9451  2017-11-25 03:56:05      7896.21  2017-11-29 13:03:23   \n",
       "4889   OR11J1747  2017-11-24 23:00:25      5570.52  2017-12-01 15:05:09   \n",
       "4890  TN30BC5699  2017-11-03 14:57:08      5179.15  2017-11-06 06:34:06   \n",
       "4891   TN36Y9906  2017-11-04 23:23:59      7417.07  2017-11-08 21:28:31   \n",
       "4892   WB23B7298  2017-11-30 14:58:09      6476.74  2017-12-04 09:39:59   \n",
       "4893   WB23C9411  2017-11-09 23:01:14      2808.90  2017-11-17 20:28:53   \n",
       "\n",
       "      distance_from_toll      loading_in_time           start_date  \\\n",
       "3904            0.898483  2017-11-04 20:05:00  2017-11-04 00:00:00   \n",
       "3905            0.805438  2017-11-04 05:45:21  2017-11-04 00:00:00   \n",
       "3906            0.977303  2017-11-30 05:35:54  2017-11-30 00:00:00   \n",
       "3907            0.672070  2017-11-29 05:00:12  2017-11-29 00:00:00   \n",
       "3908            0.902463  2017-11-25 05:57:26  2017-11-25 00:00:00   \n",
       "3909            0.861116  2017-11-25 06:03:58  2017-11-25 00:00:00   \n",
       "3910            0.957378  2017-11-25 14:02:01  2017-11-25 00:00:00   \n",
       "3911            0.896532  2017-11-24 06:20:40  2017-11-24 00:00:00   \n",
       "3912            0.931364  2017-11-28 11:02:52  2017-11-28 00:00:00   \n",
       "3913            0.250613  2017-11-22 14:50:16  2017-11-22 00:00:00   \n",
       "3914            0.019795  2017-11-02 03:55:34  2017-11-02 00:00:00   \n",
       "3915            0.586977  2017-11-19 03:36:54  2017-11-19 00:00:00   \n",
       "3916            0.651159  2017-11-30 05:35:54  2017-11-30 00:00:00   \n",
       "3917            0.969638  2017-11-15 04:41:42  2017-11-15 00:00:00   \n",
       "3918            0.639690  2017-11-28 04:23:30  2017-11-28 00:00:00   \n",
       "3919            0.309588  2017-11-23 20:14:09  2017-11-23 00:00:00   \n",
       "3920            0.865285  2017-11-04 20:05:00  2017-11-04 00:00:00   \n",
       "3921            0.492805  2017-11-28 04:45:02  2017-11-28 00:00:00   \n",
       "3922            0.862849  2017-11-28 12:44:22  2017-11-28 00:00:00   \n",
       "3923            0.706134  2017-11-24 06:15:14  2017-11-24 00:00:00   \n",
       "3924            0.420274  2017-11-12 16:55:44  2017-11-12 00:00:00   \n",
       "3925            0.336488  2017-11-02 05:29:47  2017-11-02 00:00:00   \n",
       "3926            0.579414  2017-11-12 04:19:43  2017-11-12 00:00:00   \n",
       "3927            0.726055  2017-11-07 11:34:36  2017-11-06 00:00:00   \n",
       "3928            0.943187  2017-11-17 03:30:32  2017-11-17 00:00:00   \n",
       "3929            0.404579  2017-11-21 12:35:07  2017-11-21 00:00:00   \n",
       "3930            0.195008  2017-11-15 04:28:47  2017-11-15 00:00:00   \n",
       "3931            0.388891  2017-11-20 15:38:34  2017-11-19 00:00:00   \n",
       "3932            0.772920  2017-11-05 03:29:14  2017-11-05 00:00:00   \n",
       "3933            0.305959  2017-11-25 05:57:26  2017-11-25 00:00:00   \n",
       "...                  ...                  ...                  ...   \n",
       "4864            0.625615  2017-11-12 04:19:43  2017-11-12 00:00:00   \n",
       "4865            0.753633  2017-11-07 11:34:36  2017-11-06 00:00:00   \n",
       "4866            0.633657  2017-11-17 03:30:32  2017-11-17 00:00:00   \n",
       "4867            0.540692  2017-11-21 12:35:07  2017-11-21 00:00:00   \n",
       "4868            0.996598  2017-11-15 04:28:47  2017-11-15 00:00:00   \n",
       "4869            0.623074  2017-11-02 15:21:26  2017-11-02 00:00:00   \n",
       "4870            0.890431  2017-11-23 00:00:59  2017-11-23 00:00:00   \n",
       "4871            0.882570  2017-11-22 02:40:50  2017-11-22 00:00:00   \n",
       "4872            0.790957  2017-11-29 05:00:12  2017-11-29 00:00:00   \n",
       "4873            0.668996  2017-11-20 15:38:34  2017-11-19 00:00:00   \n",
       "4874            0.014158  2017-11-05 03:29:14  2017-11-05 00:00:00   \n",
       "4875            0.775342  2017-11-25 05:57:26  2017-11-25 00:00:00   \n",
       "4876            0.964172  2017-11-30 13:22:01  2017-11-30 00:00:00   \n",
       "4877            0.831852  2017-11-29 05:15:06  2017-11-29 00:00:00   \n",
       "4878            0.273659  2017-11-16 10:35:39  2017-11-16 00:00:00   \n",
       "4879            0.660231  2017-11-23 13:41:43  2017-11-23 00:00:00   \n",
       "4880            0.492098  2017-11-15 19:16:02  2017-11-15 00:00:00   \n",
       "4881            0.992554  2017-11-12 20:03:47  2017-11-12 00:00:00   \n",
       "4882            0.543652  2017-11-25 06:03:58  2017-11-25 00:00:00   \n",
       "4883            0.609538  2017-11-23 05:08:47  2017-11-23 00:00:00   \n",
       "4884            0.368364  2017-11-26 04:50:55  2017-11-26 00:00:00   \n",
       "4885            0.996979  2017-11-05 03:50:03  2017-11-05 00:00:00   \n",
       "4886            0.545015  2017-11-25 14:02:01  2017-11-25 00:00:00   \n",
       "4887            0.406553  2017-11-18 02:42:47  2017-11-18 00:00:00   \n",
       "4888            0.382273  2017-11-23 20:27:29  2017-11-23 00:00:00   \n",
       "4889            0.419097  2017-11-24 06:20:40  2017-11-24 00:00:00   \n",
       "4890            0.827115  2017-11-03 03:23:06  2017-11-03 00:00:00   \n",
       "4891            0.576954  2017-11-04 05:45:21  2017-11-04 00:00:00   \n",
       "4892            0.369053  2017-11-28 11:02:52  2017-11-28 00:00:00   \n",
       "4893            0.870039  2017-11-05 14:17:59  2017-11-05 00:00:00   \n",
       "\n",
       "                      eta    unloading_in_time      slug delivery_status  \\\n",
       "3904  2017-11-13 00:00:00  2017-11-13 01:39:39  ETJ0E000           early   \n",
       "3905  2017-11-16 00:00:00  2017-11-10 03:37:24  ETOYD000           early   \n",
       "3906  2017-12-08 00:00:00  2017-12-05 18:44:15  ETF9G000           early   \n",
       "3907  2017-12-07 00:00:00  2017-12-04 00:00:14  ET46G000           early   \n",
       "3908  2017-12-07 00:00:00  2017-12-04 00:00:53  ETXSF000           early   \n",
       "3909  2017-12-07 00:00:00  2017-12-04 00:14:03  ETZSF000           early   \n",
       "3910  2017-12-04 00:00:00  2017-12-04 08:19:42  ETHUF000         on-time   \n",
       "3911  2017-12-02 00:00:00  2017-12-03 00:00:42  ETDPF000            late   \n",
       "3912  2017-12-06 00:00:00  2017-12-05 12:52:17  ETU3G000           early   \n",
       "3913  2017-12-04 00:00:00  2017-11-28 05:08:28  ETAHF000           early   \n",
       "3914  2017-11-14 00:00:00  2017-11-07 14:22:19  ETOSD000           early   \n",
       "3915  2017-11-28 00:00:00  2017-11-28 05:11:51  ETD6F000         on-time   \n",
       "3916  2017-12-08 00:00:00  2017-12-05 18:44:15  ETF9G000           early   \n",
       "3917  2017-11-24 00:00:00  2017-11-22 06:14:30  ETNUE000           early   \n",
       "3918  2017-12-10 00:00:00  2017-12-05 19:24:21  ETV2G000           early   \n",
       "3919  2017-12-02 00:00:00  2017-11-29 00:04:35  ETHOF000           early   \n",
       "3920  2017-11-13 00:00:00  2017-11-13 01:39:39  ETJ0E000           early   \n",
       "3921  2017-12-10 00:00:00  2017-12-04 00:07:24  ET93G000           early   \n",
       "3922  2017-12-04 00:00:00  2017-12-06 02:38:16  ET04G000            late   \n",
       "3923  2017-12-03 00:00:00  2017-12-01 00:11:55  ET9PF000           early   \n",
       "3924  2017-11-21 00:00:00  2017-11-20 03:36:34  ET9NE000           early   \n",
       "3925  2017-11-14 00:00:00  2017-11-06 19:16:19  ETUSD000           early   \n",
       "3926  2017-11-21 00:00:00  2017-11-19 17:35:02  ETCME000           early   \n",
       "3927  2017-11-18 00:00:00  2017-11-14 00:13:18  ETR2E000           early   \n",
       "3928  2017-11-24 00:00:00  2017-11-23 19:17:38  ETQ1F000         on-time   \n",
       "3929  2017-11-30 00:00:00  2017-11-27 21:19:27  ETVAF000           early   \n",
       "3930  2017-11-24 00:00:00  2017-11-22 00:05:58  ETBUE000           early   \n",
       "3931  2017-11-27 00:00:00  2017-11-27 03:47:21  ETF6F000           early   \n",
       "3932  2017-11-18 00:00:00  2017-11-10 23:00:01  ETC1E000           early   \n",
       "3933  2017-12-07 00:00:00  2017-12-04 00:00:53  ETXSF000           early   \n",
       "...                   ...                  ...       ...             ...   \n",
       "4864  2017-11-21 00:00:00  2017-11-19 17:35:02  ETCME000           early   \n",
       "4865  2017-11-18 00:00:00  2017-11-14 00:13:18  ETR2E000           early   \n",
       "4866  2017-11-24 00:00:00  2017-11-23 19:17:38  ETQ1F000         on-time   \n",
       "4867  2017-11-30 00:00:00  2017-11-27 21:19:27  ETVAF000           early   \n",
       "4868  2017-11-24 00:00:00  2017-11-22 00:05:58  ETBUE000           early   \n",
       "4869  2017-11-11 00:00:00  2017-11-07 19:25:07  ETFTD000           early   \n",
       "4870  2017-12-02 00:00:00  2017-11-30 04:29:29  ETBLF000           early   \n",
       "4871  2017-11-30 00:00:00  2017-11-29 20:25:17  ET3JF000         on-time   \n",
       "4872  2017-12-07 00:00:00  2017-12-04 00:00:14  ET46G000           early   \n",
       "4873  2017-11-27 00:00:00  2017-11-27 03:47:21  ETF6F000           early   \n",
       "4874  2017-11-18 00:00:00  2017-11-10 23:00:01  ETC1E000           early   \n",
       "4875  2017-12-07 00:00:00  2017-12-04 00:00:53  ETXSF000           early   \n",
       "4876  2017-12-12 00:00:00  2017-12-06 00:00:41  ETNAG000           early   \n",
       "4877  2017-12-07 00:00:00  2017-12-05 19:24:28  ETD6G000           early   \n",
       "4878  2017-11-25 00:00:00  2017-11-21 22:38:27  ETMYE000           early   \n",
       "4879  2017-12-05 00:00:00  2017-11-30 05:37:34  ETOMF000           early   \n",
       "4880  2017-11-19 00:00:00  2017-11-22 01:59:53  ETOWE000            late   \n",
       "4881  2017-11-21 00:00:00  2017-11-21 06:21:58  ETANE000           early   \n",
       "4882  2017-12-07 00:00:00  2017-12-04 00:14:03  ETZSF000           early   \n",
       "4883  2017-12-02 00:00:00  2017-12-02 18:17:05  ETDLF000            late   \n",
       "4884  2017-12-08 00:00:00  2017-12-05 22:53:58  ETBXF000           early   \n",
       "4885  2017-11-17 00:00:00  2017-11-12 21:21:39  ETB1E000           early   \n",
       "4886  2017-12-04 00:00:00  2017-12-04 08:19:42  ETHUF000         on-time   \n",
       "4887  2017-11-26 00:00:00  2017-11-28 17:35:14  ETS4F000            late   \n",
       "4888  2017-12-02 00:00:00  2017-11-30 14:02:15  ETIOF000           early   \n",
       "4889  2017-12-02 00:00:00  2017-12-03 00:00:42  ETDPF000            late   \n",
       "4890  2017-11-15 00:00:00  2017-11-06 18:29:09  ETXUD000           early   \n",
       "4891  2017-11-16 00:00:00  2017-11-10 03:37:24  ETOYD000           early   \n",
       "4892  2017-12-06 00:00:00  2017-12-05 12:52:17  ETU3G000           early   \n",
       "4893  2017-11-13 00:00:00  2017-11-21 04:31:59  ET42E000            late   \n",
       "\n",
       "      distance_travelled  late_by_hrs  time_taken  \n",
       "3904              624.41   -18.422500  117.954722  \n",
       "3905              627.52  -146.132500   50.225833  \n",
       "3906             1610.77   -58.860833   93.539722  \n",
       "3907             1641.28   -76.999444   90.695556  \n",
       "3908             1620.49   -77.942500   91.733889  \n",
       "3909             1611.30   -77.831944   91.681111  \n",
       "3910             1615.10    -5.705278  121.713056  \n",
       "3911             1625.30    17.667222  191.201389  \n",
       "3912             1509.52   -22.176389  106.604444  \n",
       "3913              376.19  -153.696667   31.972222  \n",
       "3914              375.88  -157.554167   23.936944  \n",
       "3915              374.88     1.582500  108.903611  \n",
       "3916              375.83   -58.860833   53.285000  \n",
       "3917              374.49   -46.453333   96.115278  \n",
       "3918              375.67  -104.985833   74.775278  \n",
       "3919              375.35   -92.159444   36.514722  \n",
       "3920              374.07   -18.422500  102.600278  \n",
       "3921              309.55  -148.627222   52.959722  \n",
       "3922              374.88    37.898333   70.165556  \n",
       "3923              340.90   -54.055278   55.426111  \n",
       "3924              317.47   -37.319444   74.640278  \n",
       "3925              374.92  -178.224444   27.213333  \n",
       "3926              281.54   -34.744722   28.898889  \n",
       "3927              374.83  -131.355000   73.006111  \n",
       "3928              375.27    -8.215000   73.193611  \n",
       "3929              375.65   -63.261111   85.191111  \n",
       "3930              375.33   -52.380278   56.948333  \n",
       "3931              377.35   -35.853611   61.943889  \n",
       "3932              375.60  -172.486944   71.928611  \n",
       "3933              375.78   -77.942500   30.110278  \n",
       "...                  ...          ...         ...  \n",
       "4864             1184.21   -34.744722   67.336667  \n",
       "4865             1232.79  -131.355000  124.061111  \n",
       "4866             1244.22    -8.215000  126.439722  \n",
       "4867             1241.51   -63.261111  123.666111  \n",
       "4868             1243.21   -52.380278  104.476389  \n",
       "4869             1239.02   -91.938611   93.427222  \n",
       "4870             1243.67   -43.525000  112.322778  \n",
       "4871             1241.19    -6.259167  116.616944  \n",
       "4872             1258.57   -76.999444   65.675278  \n",
       "4873             1262.04   -35.853611  105.451944  \n",
       "4874             1225.85  -172.486944  109.518333  \n",
       "4875             1244.08   -77.942500   67.995000  \n",
       "4876             1239.92  -157.355556   72.578056  \n",
       "4877             1235.53   -33.843889  138.364167  \n",
       "4878             1239.06   -83.953333   92.376944  \n",
       "4879             1243.76  -128.069167  106.054167  \n",
       "4880             1235.68    54.730833  105.322778  \n",
       "4881             1231.91   -13.696944  103.493056  \n",
       "4882             1236.13   -77.831944   76.960556  \n",
       "4883             1237.24    13.138333  159.320833  \n",
       "4884              261.40   -53.949167  158.821389  \n",
       "4885             1128.01  -102.473333   82.073056  \n",
       "4886             1240.00    -5.705278   90.157778  \n",
       "4887             1250.55    62.874167   91.514722  \n",
       "4888             1233.81   -54.420556  105.121667  \n",
       "4889             1247.97    17.667222  160.078889  \n",
       "4890             1244.73  -200.899167   63.616111  \n",
       "4891             1234.21  -146.132500   94.075556  \n",
       "4892             1165.77   -22.176389   90.697222  \n",
       "4893             1242.01   182.233333  189.460833  \n",
       "\n",
       "[990 rows x 18 columns]"
      ]
     },
     "execution_count": 571,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_toll_time[(new_toll_time['unloading_in_time'] - new_toll_time['loading_out_time'])tot > 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 478,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_toll_time = new_toll_time[['toll_both','vehicle_no','delivery_status','distance_travelled','late_by_hrs','time_taken']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 479,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_toll_time['delivery_status'] = new_toll_time['delivery_status'].replace({'early':1,'on-time':2,'late':3})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 592,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_test_x['delivery_status'] = n_test_x['delivery_status'].replace({'early':1,'on-time':2,'late':3})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [],
   "source": [
    "# new_toll_time.toll_both.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 480,
   "metadata": {},
   "outputs": [],
   "source": [
    "num = 1\n",
    "dict_toll_both = {}\n",
    "for toll in new_toll_time['toll_both'].unique().tolist():\n",
    "    new_toll_time['toll_both'] = new_toll_time['toll_both'].replace({toll: num})\n",
    "    dict_vehicle_no[num] = toll\n",
    "    num += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 458,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>toll_both</th>\n",
       "      <th>delivery_status</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>late_by_hrs</th>\n",
       "      <th>time_taken</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3904</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>624.41</td>\n",
       "      <td>-18.422500</td>\n",
       "      <td>117.954722</td>\n",
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       "      <th>3905</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>627.52</td>\n",
       "      <td>-146.132500</td>\n",
       "      <td>50.225833</td>\n",
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       "      <th>3906</th>\n",
       "      <td>2</td>\n",
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       "      <td>-58.860833</td>\n",
       "      <td>93.539722</td>\n",
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       "      <th>3907</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1641.28</td>\n",
       "      <td>-76.999444</td>\n",
       "      <td>90.695556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3908</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1620.49</td>\n",
       "      <td>-77.942500</td>\n",
       "      <td>91.733889</td>\n",
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       "    <tr>\n",
       "      <th>3909</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1611.30</td>\n",
       "      <td>-77.831944</td>\n",
       "      <td>91.681111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3910</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1615.10</td>\n",
       "      <td>-5.705278</td>\n",
       "      <td>121.713056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3911</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1625.30</td>\n",
       "      <td>17.667222</td>\n",
       "      <td>191.201389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3912</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1509.52</td>\n",
       "      <td>-22.176389</td>\n",
       "      <td>106.604444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3913</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>376.19</td>\n",
       "      <td>-153.696667</td>\n",
       "      <td>31.972222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3914</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.88</td>\n",
       "      <td>-157.554167</td>\n",
       "      <td>23.936944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3915</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>374.88</td>\n",
       "      <td>1.582500</td>\n",
       "      <td>108.903611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3916</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.83</td>\n",
       "      <td>-58.860833</td>\n",
       "      <td>53.285000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3917</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>374.49</td>\n",
       "      <td>-46.453333</td>\n",
       "      <td>96.115278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3918</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.67</td>\n",
       "      <td>-104.985833</td>\n",
       "      <td>74.775278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3919</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.35</td>\n",
       "      <td>-92.159444</td>\n",
       "      <td>36.514722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3920</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>374.07</td>\n",
       "      <td>-18.422500</td>\n",
       "      <td>102.600278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3921</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>309.55</td>\n",
       "      <td>-148.627222</td>\n",
       "      <td>52.959722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3922</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>374.88</td>\n",
       "      <td>37.898333</td>\n",
       "      <td>70.165556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3923</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>340.90</td>\n",
       "      <td>-54.055278</td>\n",
       "      <td>55.426111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3924</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>317.47</td>\n",
       "      <td>-37.319444</td>\n",
       "      <td>74.640278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3925</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>374.92</td>\n",
       "      <td>-178.224444</td>\n",
       "      <td>27.213333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3926</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>281.54</td>\n",
       "      <td>-34.744722</td>\n",
       "      <td>28.898889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3927</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>374.83</td>\n",
       "      <td>-131.355000</td>\n",
       "      <td>73.006111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3928</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>375.27</td>\n",
       "      <td>-8.215000</td>\n",
       "      <td>73.193611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3929</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.65</td>\n",
       "      <td>-63.261111</td>\n",
       "      <td>85.191111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3930</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.33</td>\n",
       "      <td>-52.380278</td>\n",
       "      <td>56.948333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3931</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>377.35</td>\n",
       "      <td>-35.853611</td>\n",
       "      <td>61.943889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3932</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.60</td>\n",
       "      <td>-172.486944</td>\n",
       "      <td>71.928611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3933</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.78</td>\n",
       "      <td>-77.942500</td>\n",
       "      <td>30.110278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4864</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1184.21</td>\n",
       "      <td>-34.744722</td>\n",
       "      <td>67.336667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4865</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1232.79</td>\n",
       "      <td>-131.355000</td>\n",
       "      <td>124.061111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4866</th>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>1244.22</td>\n",
       "      <td>-8.215000</td>\n",
       "      <td>126.439722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4867</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1241.51</td>\n",
       "      <td>-63.261111</td>\n",
       "      <td>123.666111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4868</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1243.21</td>\n",
       "      <td>-52.380278</td>\n",
       "      <td>104.476389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4869</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1239.02</td>\n",
       "      <td>-91.938611</td>\n",
       "      <td>93.427222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4870</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1243.67</td>\n",
       "      <td>-43.525000</td>\n",
       "      <td>112.322778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4871</th>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>1241.19</td>\n",
       "      <td>-6.259167</td>\n",
       "      <td>116.616944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4872</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1258.57</td>\n",
       "      <td>-76.999444</td>\n",
       "      <td>65.675278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4873</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1262.04</td>\n",
       "      <td>-35.853611</td>\n",
       "      <td>105.451944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4874</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1225.85</td>\n",
       "      <td>-172.486944</td>\n",
       "      <td>109.518333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4875</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1244.08</td>\n",
       "      <td>-77.942500</td>\n",
       "      <td>67.995000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4876</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1239.92</td>\n",
       "      <td>-157.355556</td>\n",
       "      <td>72.578056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4877</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1235.53</td>\n",
       "      <td>-33.843889</td>\n",
       "      <td>138.364167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4878</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1239.06</td>\n",
       "      <td>-83.953333</td>\n",
       "      <td>92.376944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4879</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1243.76</td>\n",
       "      <td>-128.069167</td>\n",
       "      <td>106.054167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4880</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1235.68</td>\n",
       "      <td>54.730833</td>\n",
       "      <td>105.322778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4881</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1231.91</td>\n",
       "      <td>-13.696944</td>\n",
       "      <td>103.493056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4882</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1236.13</td>\n",
       "      <td>-77.831944</td>\n",
       "      <td>76.960556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4883</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1237.24</td>\n",
       "      <td>13.138333</td>\n",
       "      <td>159.320833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4884</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>261.40</td>\n",
       "      <td>-53.949167</td>\n",
       "      <td>158.821389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4885</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1128.01</td>\n",
       "      <td>-102.473333</td>\n",
       "      <td>82.073056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4886</th>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>1240.00</td>\n",
       "      <td>-5.705278</td>\n",
       "      <td>90.157778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4887</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1250.55</td>\n",
       "      <td>62.874167</td>\n",
       "      <td>91.514722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1233.81</td>\n",
       "      <td>-54.420556</td>\n",
       "      <td>105.121667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4889</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1247.97</td>\n",
       "      <td>17.667222</td>\n",
       "      <td>160.078889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1244.73</td>\n",
       "      <td>-200.899167</td>\n",
       "      <td>63.616111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4891</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1234.21</td>\n",
       "      <td>-146.132500</td>\n",
       "      <td>94.075556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4892</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1165.77</td>\n",
       "      <td>-22.176389</td>\n",
       "      <td>90.697222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4893</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1242.01</td>\n",
       "      <td>182.233333</td>\n",
       "      <td>189.460833</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>990 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      toll_both  delivery_status  distance_travelled  late_by_hrs  time_taken\n",
       "3904          1                1              624.41   -18.422500  117.954722\n",
       "3905          1                1              627.52  -146.132500   50.225833\n",
       "3906          2                1             1610.77   -58.860833   93.539722\n",
       "3907          2                1             1641.28   -76.999444   90.695556\n",
       "3908          2                1             1620.49   -77.942500   91.733889\n",
       "3909          2                1             1611.30   -77.831944   91.681111\n",
       "3910          2                2             1615.10    -5.705278  121.713056\n",
       "3911          2                3             1625.30    17.667222  191.201389\n",
       "3912          2                1             1509.52   -22.176389  106.604444\n",
       "3913          3                1              376.19  -153.696667   31.972222\n",
       "3914          3                1              375.88  -157.554167   23.936944\n",
       "3915          3                2              374.88     1.582500  108.903611\n",
       "3916          3                1              375.83   -58.860833   53.285000\n",
       "3917          3                1              374.49   -46.453333   96.115278\n",
       "3918          3                1              375.67  -104.985833   74.775278\n",
       "3919          3                1              375.35   -92.159444   36.514722\n",
       "3920          3                1              374.07   -18.422500  102.600278\n",
       "3921          3                1              309.55  -148.627222   52.959722\n",
       "3922          3                3              374.88    37.898333   70.165556\n",
       "3923          3                1              340.90   -54.055278   55.426111\n",
       "3924          3                1              317.47   -37.319444   74.640278\n",
       "3925          3                1              374.92  -178.224444   27.213333\n",
       "3926          3                1              281.54   -34.744722   28.898889\n",
       "3927          3                1              374.83  -131.355000   73.006111\n",
       "3928          3                2              375.27    -8.215000   73.193611\n",
       "3929          3                1              375.65   -63.261111   85.191111\n",
       "3930          3                1              375.33   -52.380278   56.948333\n",
       "3931          3                1              377.35   -35.853611   61.943889\n",
       "3932          3                1              375.60  -172.486944   71.928611\n",
       "3933          3                1              375.78   -77.942500   30.110278\n",
       "...         ...              ...                 ...          ...         ...\n",
       "4864         33                1             1184.21   -34.744722   67.336667\n",
       "4865         33                1             1232.79  -131.355000  124.061111\n",
       "4866         33                2             1244.22    -8.215000  126.439722\n",
       "4867         33                1             1241.51   -63.261111  123.666111\n",
       "4868         33                1             1243.21   -52.380278  104.476389\n",
       "4869         33                1             1239.02   -91.938611   93.427222\n",
       "4870         33                1             1243.67   -43.525000  112.322778\n",
       "4871         33                2             1241.19    -6.259167  116.616944\n",
       "4872         33                1             1258.57   -76.999444   65.675278\n",
       "4873         33                1             1262.04   -35.853611  105.451944\n",
       "4874         33                1             1225.85  -172.486944  109.518333\n",
       "4875         33                1             1244.08   -77.942500   67.995000\n",
       "4876         33                1             1239.92  -157.355556   72.578056\n",
       "4877         33                1             1235.53   -33.843889  138.364167\n",
       "4878         33                1             1239.06   -83.953333   92.376944\n",
       "4879         33                1             1243.76  -128.069167  106.054167\n",
       "4880         33                3             1235.68    54.730833  105.322778\n",
       "4881         33                1             1231.91   -13.696944  103.493056\n",
       "4882         33                1             1236.13   -77.831944   76.960556\n",
       "4883         33                3             1237.24    13.138333  159.320833\n",
       "4884         33                1              261.40   -53.949167  158.821389\n",
       "4885         33                1             1128.01  -102.473333   82.073056\n",
       "4886         33                2             1240.00    -5.705278   90.157778\n",
       "4887         33                3             1250.55    62.874167   91.514722\n",
       "4888         33                1             1233.81   -54.420556  105.121667\n",
       "4889         33                3             1247.97    17.667222  160.078889\n",
       "4890         33                1             1244.73  -200.899167   63.616111\n",
       "4891         33                1             1234.21  -146.132500   94.075556\n",
       "4892         33                1             1165.77   -22.176389   90.697222\n",
       "4893         33                3             1242.01   182.233333  189.460833\n",
       "\n",
       "[990 rows x 5 columns]"
      ]
     },
     "execution_count": 458,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_toll_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = new_toll_time.loc[:,new_toll_time.columns != 'time_taken']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = new_toll_time['time_taken']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(new_toll_time, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 481,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = new_toll_time[new_toll_time['vehicle_no'].isin(['OR11J1747', 'OR04M5329', 'OR07W2988']) == False]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 482,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_df = new_toll_time[new_toll_time['vehicle_no'].isin(['OR11J1747', 'OR04M5329', 'OR07W2988'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 483,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((877, 6), (113, 6))"
      ]
     },
     "execution_count": 483,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.shape, test_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 585,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_test_y = n_test_df['time_taken']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 588,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_test_x = n_test_df.loc[:,n_test_df.columns != 'time_taken']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'n_train_x' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-99817260834a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mn_test_x\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mn_train_x\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreset_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'n_train_x' is not defined"
     ]
    }
   ],
   "source": [
    "n_test_x = n_train_x.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 590,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_test_y = n_test_y.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 493,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_y = test_df['time_taken']\n",
    "test_y = test_df['time_taken']\n",
    "\n",
    "train_y = train_y.reset_index(drop=True)\n",
    "test_y = test_y.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 494,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "labels ['vehicle_no'] not contained in axis",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-494-aa0298424028>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;31m#     dict_vehicle_no[num] = truck\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;31m#     num += 1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mtrain_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'vehicle_no'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0mtest_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'vehicle_no'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python2.7/dist-packages/pandas/core/generic.pyc\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, axis, level, inplace, errors)\u001b[0m\n\u001b[1;32m   2159\u001b[0m                 \u001b[0mnew_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2160\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2161\u001b[0;31m                 \u001b[0mnew_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2162\u001b[0m             \u001b[0mdropped\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0maxis_name\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnew_axis\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2163\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python2.7/dist-packages/pandas/core/indexes/base.pyc\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, errors)\u001b[0m\n\u001b[1;32m   3622\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'ignore'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3623\u001b[0m                 raise ValueError('labels %s not contained in axis' %\n\u001b[0;32m-> 3624\u001b[0;31m                                  labels[mask])\n\u001b[0m\u001b[1;32m   3625\u001b[0m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m~\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3626\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: labels ['vehicle_no'] not contained in axis"
     ]
    }
   ],
   "source": [
    "# num = 1\n",
    "# dict_vehicle_no = {}\n",
    "# for truck in new_toll_time['vehicle_no'].unique().tolist():\n",
    "#     new_toll_time['vehicle_no'] = new_toll_time['vehicle_no'].replace({truck: num})\n",
    "#     dict_vehicle_no[num] = truck \n",
    "#     num += 1\n",
    "train_df.drop(['vehicle_no'], axis=1, inplace=True)\n",
    "test_df.drop(['vehicle_no'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 501,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_x = train_df.loc[:,train_df.columns != 'time_taken']\n",
    "test_x = test_df.loc[:,train_df.columns != 'time_taken']\n",
    "\n",
    "test_x = test_x.reset_index(drop=True)\n",
    "train_x = test_x.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 503,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((113, 4), (113, 4), (113,), (113,))"
      ]
     },
     "execution_count": 503,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_x.shape, test_x.shape, train_y.shape, train_y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 601,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((21, 4), (113, 4))"
      ]
     },
     "execution_count": 601,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_test_x.shape, train_x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 600,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "n_test_x.drop(['vehicle_no'], axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 604,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:4: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num = 1\n",
    "dict_toll_both = {}\n",
    "for toll in n_test_x['toll_both'].unique().tolist():\n",
    "    n_test_x['toll_both'] = n_test_x['toll_both'].replace({toll: num})\n",
    "    dict_vehicle_no[num] = toll\n",
    "    num += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 597,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_test_x = n_test_x[['toll_both','vehicle_no','delivery_status','distance_travelled','late_by_hrs']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 605,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "scale= StandardScaler()\n",
    "X_train_std = scale.fit_transform(train_x)\n",
    "X_test_std = scale.fit_transform(n_test_x)\n",
    "\n",
    "# label_encoder = LabelEncoder()\n",
    "# y_train_std = label_encoder.fit_transform(y_train)\n",
    "# y_test_std = label_encoder.fit_transform(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 606,
   "metadata": {},
   "outputs": [],
   "source": [
    "clf_mlp = MLPRegressor( hidden_layer_sizes=(10,),  activation='relu', solver='adam', alpha=0.001, batch_size='auto',\n",
    "    learning_rate='constant', learning_rate_init=0.01, power_t=0.5, max_iter=1000, shuffle=True,\n",
    "    random_state=9, tol=0.0001, verbose=False, warm_start=False, momentum=0.9, nesterovs_momentum=True,\n",
    "    early_stopping=False, validation_fraction=0.1, beta_1=0.9, beta_2=0.999, epsilon=1e-08)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 607,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MLPRegressor(activation='relu', alpha=0.001, batch_size='auto', beta_1=0.9,\n",
       "       beta_2=0.999, early_stopping=False, epsilon=1e-08,\n",
       "       hidden_layer_sizes=(10,), learning_rate='constant',\n",
       "       learning_rate_init=0.01, max_iter=1000, momentum=0.9,\n",
       "       nesterovs_momentum=True, power_t=0.5, random_state=9, shuffle=True,\n",
       "       solver='adam', tol=0.0001, validation_fraction=0.1, verbose=False,\n",
       "       warm_start=False)"
      ]
     },
     "execution_count": 607,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf_mlp.fit(X_train_std, train_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions = clf_mlp.predict(X_test_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 613,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  29.57325894,   67.73091271,   81.05306812,   36.30227463,\n",
       "         99.93971362,   17.8124734 ,   23.10908664,   59.32891507,\n",
       "         63.37066633,   50.86792814,   39.17408964,   35.29289377,\n",
       "         15.0071647 ,  106.00496393,   39.45724616,   15.51953135,\n",
       "         61.2357051 ,   15.04935946,   78.50295143,   47.43169111,\n",
       "         84.93508472])"
      ]
     },
     "execution_count": 613,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 616,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Score: 19.6351630605\n"
     ]
    }
   ],
   "source": [
    "print 'Score:', clf_mlp.score(X_test_std, n_test_y)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 513,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe2a9d55550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## The line / model\n",
    "plt.scatter(test_y, predictions)\n",
    "# plt.scatter(X,Y1,color='red')\n",
    "# plt.scatter(X,Y2,color='blue')\n",
    "plt.xlabel('True Values')\n",
    "plt.ylabel('Predictions')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 514,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~mainakchain/10.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 514,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trace = go.Scatter(\n",
    "    x = test_y,\n",
    "    y = predictions\n",
    ")\n",
    "\n",
    "data = [trace]\n",
    "\n",
    "py.iplot(data, filename='predictions')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 516,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "predictions_df = pd.DataFrame({'Actual test values': test_y,'Predictions made': predictions })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 533,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Actual test values</th>\n",
       "      <th>Predictions made</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>91.733889</td>\n",
       "      <td>102.385693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>121.713056</td>\n",
       "      <td>115.469159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>191.201389</td>\n",
       "      <td>180.831629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>71.928611</td>\n",
       "      <td>75.784771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>30.110278</td>\n",
       "      <td>36.668348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>51.859722</td>\n",
       "      <td>46.192910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>37.868611</td>\n",
       "      <td>46.123147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>115.501111</td>\n",
       "      <td>111.001101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>102.793611</td>\n",
       "      <td>101.230906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>62.318333</td>\n",
       "      <td>66.107025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>75.110556</td>\n",
       "      <td>69.379741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>74.258333</td>\n",
       "      <td>83.757378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>154.418056</td>\n",
       "      <td>148.978298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>117.354444</td>\n",
       "      <td>112.924001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>75.521111</td>\n",
       "      <td>78.207562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>82.984722</td>\n",
       "      <td>80.961796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>90.931944</td>\n",
       "      <td>96.314242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>164.408056</td>\n",
       "      <td>161.563696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>77.934444</td>\n",
       "      <td>79.698252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>35.636944</td>\n",
       "      <td>40.688672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>56.189167</td>\n",
       "      <td>50.333482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>43.390833</td>\n",
       "      <td>54.212494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>118.896667</td>\n",
       "      <td>119.112268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>126.166944</td>\n",
       "      <td>123.499434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>84.823056</td>\n",
       "      <td>92.260801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>109.203056</td>\n",
       "      <td>108.577929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>179.472778</td>\n",
       "      <td>173.853120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>65.085278</td>\n",
       "      <td>70.285521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>25.381944</td>\n",
       "      <td>29.175782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>45.605000</td>\n",
       "      <td>39.384067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>100.467500</td>\n",
       "      <td>96.186358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>92.144167</td>\n",
       "      <td>90.841827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>57.628611</td>\n",
       "      <td>56.338173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>71.538056</td>\n",
       "      <td>58.355578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>70.935833</td>\n",
       "      <td>77.600152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>143.588056</td>\n",
       "      <td>142.624692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>59.829722</td>\n",
       "      <td>68.959044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>20.059444</td>\n",
       "      <td>27.844204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>39.755833</td>\n",
       "      <td>38.512005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>25.682222</td>\n",
       "      <td>27.970755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>94.164444</td>\n",
       "      <td>91.037945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>107.716944</td>\n",
       "      <td>102.602067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>66.374444</td>\n",
       "      <td>73.161614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>80.576389</td>\n",
       "      <td>73.890582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>88.707222</td>\n",
       "      <td>91.887789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>156.925278</td>\n",
       "      <td>157.107031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>105.004167</td>\n",
       "      <td>100.126090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>76.709722</td>\n",
       "      <td>71.564979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>87.309722</td>\n",
       "      <td>88.471273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>155.735000</td>\n",
       "      <td>153.688836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>84.769167</td>\n",
       "      <td>86.461814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>49.626389</td>\n",
       "      <td>49.198887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>63.850000</td>\n",
       "      <td>58.221234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>63.391111</td>\n",
       "      <td>64.738067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>130.636389</td>\n",
       "      <td>129.698826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>109.518333</td>\n",
       "      <td>110.329651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>67.995000</td>\n",
       "      <td>82.228255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>82.073056</td>\n",
       "      <td>81.559657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>90.157778</td>\n",
       "      <td>95.896226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>160.078889</td>\n",
       "      <td>161.133931</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>113 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Actual test values  Predictions made\n",
       "0             91.733889        102.385693\n",
       "1            121.713056        115.469159\n",
       "2            191.201389        180.831629\n",
       "3             71.928611         75.784771\n",
       "4             30.110278         36.668348\n",
       "5             51.859722         46.192910\n",
       "6             37.868611         46.123147\n",
       "7            115.501111        111.001101\n",
       "8            102.793611        101.230906\n",
       "9             62.318333         66.107025\n",
       "10            75.110556         69.379741\n",
       "11            74.258333         83.757378\n",
       "12           154.418056        148.978298\n",
       "13           117.354444        112.924001\n",
       "14            75.521111         78.207562\n",
       "15            82.984722         80.961796\n",
       "16            90.931944         96.314242\n",
       "17           164.408056        161.563696\n",
       "18            77.934444         79.698252\n",
       "19            35.636944         40.688672\n",
       "20            56.189167         50.333482\n",
       "21            43.390833         54.212494\n",
       "22           118.896667        119.112268\n",
       "23           126.166944        123.499434\n",
       "24            84.823056         92.260801\n",
       "25           109.203056        108.577929\n",
       "26           179.472778        173.853120\n",
       "27            65.085278         70.285521\n",
       "28            25.381944         29.175782\n",
       "29            45.605000         39.384067\n",
       "..                  ...               ...\n",
       "83           100.467500         96.186358\n",
       "84            92.144167         90.841827\n",
       "85            57.628611         56.338173\n",
       "86            71.538056         58.355578\n",
       "87            70.935833         77.600152\n",
       "88           143.588056        142.624692\n",
       "89            59.829722         68.959044\n",
       "90            20.059444         27.844204\n",
       "91            39.755833         38.512005\n",
       "92            25.682222         27.970755\n",
       "93            94.164444         91.037945\n",
       "94           107.716944        102.602067\n",
       "95            66.374444         73.161614\n",
       "96            80.576389         73.890582\n",
       "97            88.707222         91.887789\n",
       "98           156.925278        157.107031\n",
       "99           105.004167        100.126090\n",
       "100           76.709722         71.564979\n",
       "101           87.309722         88.471273\n",
       "102          155.735000        153.688836\n",
       "103           84.769167         86.461814\n",
       "104           49.626389         49.198887\n",
       "105           63.850000         58.221234\n",
       "106           63.391111         64.738067\n",
       "107          130.636389        129.698826\n",
       "108          109.518333        110.329651\n",
       "109           67.995000         82.228255\n",
       "110           82.073056         81.559657\n",
       "111           90.157778         95.896226\n",
       "112          160.078889        161.133931\n",
       "\n",
       "[113 rows x 2 columns]"
      ]
     },
     "execution_count": 533,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 559,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_df = new_toll_time[new_toll_time['vehicle_no'].isin(['OR11J1747', 'OR04M5329', 'OR07W2988'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 560,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(113, 18)"
      ]
     },
     "execution_count": 560,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 519,
   "metadata": {},
   "outputs": [],
   "source": [
    "toll_time_copy = toll_time.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 520,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>toll_both</th>\n",
       "      <th>delivery_status</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>late_by_hrs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1620.49</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1615.10</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1625.30</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.60</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>375.78</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>359.42</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>374.83</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>376.37</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1036.63</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1050.78</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>941.91</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1046.67</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1054.34</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1255.00</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1274.80</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1158.28</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>1270.29</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1278.47</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>515.44</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>518.41</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>505.19</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>516.97</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>518.90</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>1468.76</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>1492.71</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>1487.04</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>1495.68</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>203.32</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>203.53</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>184.61</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>93.65</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>909.26</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>922.81</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>809.64</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>918.69</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>26</td>\n",
       "      <td>3</td>\n",
       "      <td>922.85</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1160.23</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1177.20</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1063.46</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>1172.43</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>28</td>\n",
       "      <td>3</td>\n",
       "      <td>1180.07</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>1099.81</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>1005.79</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>1110.55</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1118.16</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>679.35</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>686.57</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>686.11</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "      <td>683.91</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>32</td>\n",
       "      <td>3</td>\n",
       "      <td>686.93</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1225.85</td>\n",
       "      <td>-172.486944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1244.08</td>\n",
       "      <td>-77.942500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1128.01</td>\n",
       "      <td>-102.473333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>1240.00</td>\n",
       "      <td>-5.705278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>1247.97</td>\n",
       "      <td>17.667222</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>113 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     toll_both  delivery_status  distance_travelled  late_by_hrs\n",
       "0            2                1             1620.49   -77.942500\n",
       "1            2                2             1615.10    -5.705278\n",
       "2            2                3             1625.30    17.667222\n",
       "3            3                1              375.60  -172.486944\n",
       "4            3                1              375.78   -77.942500\n",
       "5            3                1              359.42  -102.473333\n",
       "6            3                2              374.83    -5.705278\n",
       "7            3                3              376.37    17.667222\n",
       "8            4                1             1036.63  -172.486944\n",
       "9            4                1             1050.78   -77.942500\n",
       "10           4                1              941.91  -102.473333\n",
       "11           4                2             1046.67    -5.705278\n",
       "12           4                3             1054.34    17.667222\n",
       "13           5                1             1255.00  -172.486944\n",
       "14           5                1             1274.80   -77.942500\n",
       "15           5                1             1158.28  -102.473333\n",
       "16           5                2             1270.29    -5.705278\n",
       "17           5                3             1278.47    17.667222\n",
       "18           6                1              515.44  -172.486944\n",
       "19           6                1              518.41   -77.942500\n",
       "20           6                1              505.19  -102.473333\n",
       "21           6                2              516.97    -5.705278\n",
       "22           6                3              518.90    17.667222\n",
       "23           8                1             1468.76  -172.486944\n",
       "24           8                1             1492.71   -77.942500\n",
       "25           8                2             1487.04    -5.705278\n",
       "26           8                3             1495.68    17.667222\n",
       "27           9                1              203.32  -172.486944\n",
       "28           9                1              203.53   -77.942500\n",
       "29           9                1              184.61  -102.473333\n",
       "..         ...              ...                 ...          ...\n",
       "83          25                3               93.65    17.667222\n",
       "84          26                1              909.26  -172.486944\n",
       "85          26                1              922.81   -77.942500\n",
       "86          26                1              809.64  -102.473333\n",
       "87          26                2              918.69    -5.705278\n",
       "88          26                3              922.85    17.667222\n",
       "89          27                1                0.00  -172.486944\n",
       "90          27                1                0.00   -77.942500\n",
       "91          27                1                0.00  -102.473333\n",
       "92          27                2                0.00    -5.705278\n",
       "93          27                3                0.00    17.667222\n",
       "94          28                1             1160.23  -172.486944\n",
       "95          28                1             1177.20   -77.942500\n",
       "96          28                1             1063.46  -102.473333\n",
       "97          28                2             1172.43    -5.705278\n",
       "98          28                3             1180.07    17.667222\n",
       "99          29                1             1099.81  -172.486944\n",
       "100         29                1             1005.79  -102.473333\n",
       "101         29                2             1110.55    -5.705278\n",
       "102         29                3             1118.16    17.667222\n",
       "103         32                1              679.35  -172.486944\n",
       "104         32                1              686.57   -77.942500\n",
       "105         32                1              686.11  -102.473333\n",
       "106         32                2              683.91    -5.705278\n",
       "107         32                3              686.93    17.667222\n",
       "108         33                1             1225.85  -172.486944\n",
       "109         33                1             1244.08   -77.942500\n",
       "110         33                1             1128.01  -102.473333\n",
       "111         33                2             1240.00    -5.705278\n",
       "112         33                3             1247.97    17.667222\n",
       "\n",
       "[113 rows x 4 columns]"
      ]
     },
     "execution_count": 520,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "final_df = train_x.iloc[predictions_df.index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_df = final_df.sort_values(['vehicle_no','distance_travelled'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 544,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(113, 11)"
      ]
     },
     "execution_count": 544,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 561,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_df = final_df[['origin','destination','vehicle_no','toll_both','delivery_status','start_date','unloading_in_time','distance_travelled','time_taken']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 562,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      102.385693\n",
       "1      115.469159\n",
       "2      180.831629\n",
       "3       75.784771\n",
       "4       36.668348\n",
       "5       46.192910\n",
       "6       46.123147\n",
       "7      111.001101\n",
       "8      101.230906\n",
       "9       66.107025\n",
       "10      69.379741\n",
       "11      83.757378\n",
       "12     148.978298\n",
       "13     112.924001\n",
       "14      78.207562\n",
       "15      80.961796\n",
       "16      96.314242\n",
       "17     161.563696\n",
       "18      79.698252\n",
       "19      40.688672\n",
       "20      50.333482\n",
       "21      54.212494\n",
       "22     119.112268\n",
       "23     123.499434\n",
       "24      92.260801\n",
       "25     108.577929\n",
       "26     173.853120\n",
       "27      70.285521\n",
       "28      29.175782\n",
       "29      39.384067\n",
       "          ...    \n",
       "83      96.186358\n",
       "84      90.841827\n",
       "85      56.338173\n",
       "86      58.355578\n",
       "87      77.600152\n",
       "88     142.624692\n",
       "89      68.959044\n",
       "90      27.844204\n",
       "91      38.512005\n",
       "92      27.970755\n",
       "93      91.037945\n",
       "94     102.602067\n",
       "95      73.161614\n",
       "96      73.890582\n",
       "97      91.887789\n",
       "98     157.107031\n",
       "99     100.126090\n",
       "100     71.564979\n",
       "101     88.471273\n",
       "102    153.688836\n",
       "103     86.461814\n",
       "104     49.198887\n",
       "105     58.221234\n",
       "106     64.738067\n",
       "107    129.698826\n",
       "108    110.329651\n",
       "109     82.228255\n",
       "110     81.559657\n",
       "111     95.896226\n",
       "112    161.133931\n",
       "Name: Predictions made, Length: 113, dtype: float64"
      ]
     },
     "execution_count": 562,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions_df['Predictions made']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 563,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_df = final_df.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 564,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_df['Predict'] = predictions_df['Predictions made']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 570,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>origin</th>\n",
       "      <th>destination</th>\n",
       "      <th>vehicle_no</th>\n",
       "      <th>toll_both</th>\n",
       "      <th>delivery_status</th>\n",
       "      <th>start_date</th>\n",
       "      <th>unloading_in_time</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>time_taken</th>\n",
       "      <th>Predict</th>\n",
       "      <th>compare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Sergrarh</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>59.829722</td>\n",
       "      <td>68.959044</td>\n",
       "      <td>9.129322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Sergrarh</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>20.059444</td>\n",
       "      <td>27.844204</td>\n",
       "      <td>7.784760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Panikholi</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>93.42</td>\n",
       "      <td>62.149167</td>\n",
       "      <td>70.826670</td>\n",
       "      <td>8.677503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Panikholi</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>93.87</td>\n",
       "      <td>22.245833</td>\n",
       "      <td>29.722759</td>\n",
       "      <td>7.476926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Manguli</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>147.15</td>\n",
       "      <td>63.651944</td>\n",
       "      <td>71.128400</td>\n",
       "      <td>7.476455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Manguli</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>147.47</td>\n",
       "      <td>23.729444</td>\n",
       "      <td>30.021331</td>\n",
       "      <td>6.291887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Gudipada (Old Gangapada)</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>203.32</td>\n",
       "      <td>65.085278</td>\n",
       "      <td>70.285521</td>\n",
       "      <td>5.200244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Gudipada (Old Gangapada)</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>203.53</td>\n",
       "      <td>25.381944</td>\n",
       "      <td>29.175782</td>\n",
       "      <td>3.793837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Gurapalli</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>291.19</td>\n",
       "      <td>69.220278</td>\n",
       "      <td>72.620287</td>\n",
       "      <td>3.400009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Gurapalli</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>291.73</td>\n",
       "      <td>27.318056</td>\n",
       "      <td>31.518562</td>\n",
       "      <td>4.200507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>375.60</td>\n",
       "      <td>71.928611</td>\n",
       "      <td>75.784771</td>\n",
       "      <td>3.856160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>375.78</td>\n",
       "      <td>30.110278</td>\n",
       "      <td>36.668348</td>\n",
       "      <td>6.558070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Madapam</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>489.33</td>\n",
       "      <td>77.204444</td>\n",
       "      <td>79.037722</td>\n",
       "      <td>1.833278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Madapam</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>491.05</td>\n",
       "      <td>34.882500</td>\n",
       "      <td>37.964656</td>\n",
       "      <td>3.082156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Chilakapalem</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>515.44</td>\n",
       "      <td>77.934444</td>\n",
       "      <td>79.698252</td>\n",
       "      <td>1.763808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Chilakapalem</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>518.41</td>\n",
       "      <td>35.636944</td>\n",
       "      <td>40.688672</td>\n",
       "      <td>5.051728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Laxmipuram</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>553.85</td>\n",
       "      <td>79.242778</td>\n",
       "      <td>80.404091</td>\n",
       "      <td>1.161313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Nathavalasa/ Vizianagaram</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>553.85</td>\n",
       "      <td>79.242778</td>\n",
       "      <td>81.407315</td>\n",
       "      <td>2.164537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Laxmipuram</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>558.20</td>\n",
       "      <td>37.248056</td>\n",
       "      <td>39.394901</td>\n",
       "      <td>2.146845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Nathavalasa/ Vizianagaram</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>558.20</td>\n",
       "      <td>37.248056</td>\n",
       "      <td>40.398125</td>\n",
       "      <td>3.150069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Vempadu</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>679.35</td>\n",
       "      <td>84.769167</td>\n",
       "      <td>86.461814</td>\n",
       "      <td>1.692647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Vempadu</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>686.57</td>\n",
       "      <td>49.626389</td>\n",
       "      <td>49.198887</td>\n",
       "      <td>-0.427502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Krishnavaram</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>747.75</td>\n",
       "      <td>86.603611</td>\n",
       "      <td>84.912745</td>\n",
       "      <td>-1.690866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Krishnavaram</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>756.30</td>\n",
       "      <td>52.279722</td>\n",
       "      <td>44.992965</td>\n",
       "      <td>-7.286757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Kalaparru</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>888.86</td>\n",
       "      <td>91.179167</td>\n",
       "      <td>90.634435</td>\n",
       "      <td>-0.544731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Kalaparru</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>901.74</td>\n",
       "      <td>57.011944</td>\n",
       "      <td>53.954575</td>\n",
       "      <td>-3.057369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Pottipadu</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>909.26</td>\n",
       "      <td>92.144167</td>\n",
       "      <td>90.841827</td>\n",
       "      <td>-1.302339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Pottipadu</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>922.81</td>\n",
       "      <td>57.628611</td>\n",
       "      <td>56.338173</td>\n",
       "      <td>-1.290438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Kaza</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>968.52</td>\n",
       "      <td>59.279722</td>\n",
       "      <td>57.231359</td>\n",
       "      <td>-2.048363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Bolapalli</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-10 23:00:01</td>\n",
       "      <td>1036.63</td>\n",
       "      <td>102.793611</td>\n",
       "      <td>101.230906</td>\n",
       "      <td>-1.562705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>Budanam</td>\n",
       "      <td>on-time</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 08:19:42</td>\n",
       "      <td>1270.29</td>\n",
       "      <td>90.931944</td>\n",
       "      <td>96.314242</td>\n",
       "      <td>5.382298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>Krishnagiri</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-12 21:21:39</td>\n",
       "      <td>1482.41</td>\n",
       "      <td>94.059444</td>\n",
       "      <td>98.896782</td>\n",
       "      <td>4.837338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>Gaddurur</td>\n",
       "      <td>on-time</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 08:19:42</td>\n",
       "      <td>1487.04</td>\n",
       "      <td>109.203056</td>\n",
       "      <td>108.577929</td>\n",
       "      <td>-0.625126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>Mulbagal</td>\n",
       "      <td>on-time</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 08:19:42</td>\n",
       "      <td>1517.61</td>\n",
       "      <td>110.007222</td>\n",
       "      <td>111.228070</td>\n",
       "      <td>1.220848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>Hoskote</td>\n",
       "      <td>on-time</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 08:19:42</td>\n",
       "      <td>1578.99</td>\n",
       "      <td>112.044167</td>\n",
       "      <td>113.936796</td>\n",
       "      <td>1.892629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>on-time</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 08:19:42</td>\n",
       "      <td>1615.10</td>\n",
       "      <td>121.713056</td>\n",
       "      <td>115.469159</td>\n",
       "      <td>-6.243897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Sergrarh</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>0.00</td>\n",
       "      <td>94.164444</td>\n",
       "      <td>91.037945</td>\n",
       "      <td>-3.126499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Panikholi</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>93.65</td>\n",
       "      <td>100.467500</td>\n",
       "      <td>96.186358</td>\n",
       "      <td>-4.281142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Manguli</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>147.45</td>\n",
       "      <td>101.817222</td>\n",
       "      <td>98.968426</td>\n",
       "      <td>-2.848796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Gudipada (Old Gangapada)</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>203.95</td>\n",
       "      <td>103.086944</td>\n",
       "      <td>101.627983</td>\n",
       "      <td>-1.458961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Gurapalli</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>292.36</td>\n",
       "      <td>105.640000</td>\n",
       "      <td>106.620011</td>\n",
       "      <td>0.980011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Bellupada</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>376.37</td>\n",
       "      <td>115.501111</td>\n",
       "      <td>111.001101</td>\n",
       "      <td>-4.500010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Madapam</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>491.59</td>\n",
       "      <td>118.126944</td>\n",
       "      <td>118.131452</td>\n",
       "      <td>0.004508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Chilakapalem</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>518.90</td>\n",
       "      <td>118.896667</td>\n",
       "      <td>119.112268</td>\n",
       "      <td>0.215602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Laxmipuram</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>558.73</td>\n",
       "      <td>120.105556</td>\n",
       "      <td>121.842259</td>\n",
       "      <td>1.736703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Nathavalasa/ Vizianagaram</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>558.73</td>\n",
       "      <td>120.105556</td>\n",
       "      <td>122.070236</td>\n",
       "      <td>1.964680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Vempadu</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>686.93</td>\n",
       "      <td>130.636389</td>\n",
       "      <td>129.698826</td>\n",
       "      <td>-0.937563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Krishnavaram</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>756.20</td>\n",
       "      <td>135.525000</td>\n",
       "      <td>132.844871</td>\n",
       "      <td>-2.680129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Kalaparru</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>900.98</td>\n",
       "      <td>142.965000</td>\n",
       "      <td>140.808351</td>\n",
       "      <td>-2.156649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Pottipadu</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>922.85</td>\n",
       "      <td>143.588056</td>\n",
       "      <td>142.624692</td>\n",
       "      <td>-0.963364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Kaza</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>972.06</td>\n",
       "      <td>147.058056</td>\n",
       "      <td>144.830786</td>\n",
       "      <td>-2.227269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Bolapalli</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>1054.34</td>\n",
       "      <td>154.418056</td>\n",
       "      <td>148.978298</td>\n",
       "      <td>-5.439757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Tangutur</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>1118.16</td>\n",
       "      <td>155.735000</td>\n",
       "      <td>153.688836</td>\n",
       "      <td>-2.046164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Sunambatti (Musunur)</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>1180.07</td>\n",
       "      <td>156.925278</td>\n",
       "      <td>157.107031</td>\n",
       "      <td>0.181753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>1247.97</td>\n",
       "      <td>160.078889</td>\n",
       "      <td>161.133931</td>\n",
       "      <td>1.055042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Budanam</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>1278.47</td>\n",
       "      <td>164.408056</td>\n",
       "      <td>161.563696</td>\n",
       "      <td>-2.844359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Gaddurur</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>1495.68</td>\n",
       "      <td>179.472778</td>\n",
       "      <td>173.853120</td>\n",
       "      <td>-5.619658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Mulbagal</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>1526.00</td>\n",
       "      <td>180.882778</td>\n",
       "      <td>176.142228</td>\n",
       "      <td>-4.740550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Hoskote</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>1588.94</td>\n",
       "      <td>184.901667</td>\n",
       "      <td>179.253286</td>\n",
       "      <td>-5.648381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR11J1747</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-12-03 00:00:42</td>\n",
       "      <td>1625.30</td>\n",
       "      <td>191.201389</td>\n",
       "      <td>180.831629</td>\n",
       "      <td>-10.369759</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>113 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         origin destination vehicle_no                           toll_both  \\\n",
       "89   Jamshedpur       HOSUR  OR04M5329                            Sergrarh   \n",
       "90   Jamshedpur       HOSUR  OR04M5329                            Sergrarh   \n",
       "79   Jamshedpur       HOSUR  OR04M5329                           Panikholi   \n",
       "80   Jamshedpur       HOSUR  OR04M5329                           Panikholi   \n",
       "65   Jamshedpur       HOSUR  OR04M5329                             Manguli   \n",
       "66   Jamshedpur       HOSUR  OR04M5329                             Manguli   \n",
       "27   Jamshedpur       HOSUR  OR04M5329            Gudipada (Old Gangapada)   \n",
       "28   Jamshedpur       HOSUR  OR04M5329            Gudipada (Old Gangapada)   \n",
       "32   Jamshedpur       HOSUR  OR04M5329                           Gurapalli   \n",
       "33   Jamshedpur       HOSUR  OR04M5329                           Gurapalli   \n",
       "3    Jamshedpur       HOSUR  OR04M5329                           Bellupada   \n",
       "4    Jamshedpur       HOSUR  OR04M5329                           Bellupada   \n",
       "60   Jamshedpur       HOSUR  OR04M5329                             Madapam   \n",
       "61   Jamshedpur       HOSUR  OR04M5329                             Madapam   \n",
       "18   Jamshedpur       HOSUR  OR04M5329                        Chilakapalem   \n",
       "19   Jamshedpur       HOSUR  OR04M5329                        Chilakapalem   \n",
       "55   Jamshedpur       HOSUR  OR04M5329                          Laxmipuram   \n",
       "74   Jamshedpur       HOSUR  OR04M5329           Nathavalasa/ Vizianagaram   \n",
       "56   Jamshedpur       HOSUR  OR04M5329                          Laxmipuram   \n",
       "75   Jamshedpur       HOSUR  OR04M5329           Nathavalasa/ Vizianagaram   \n",
       "103  Jamshedpur       HOSUR  OR04M5329                             Vempadu   \n",
       "104  Jamshedpur       HOSUR  OR04M5329                             Vempadu   \n",
       "51   Jamshedpur       HOSUR  OR04M5329                        Krishnavaram   \n",
       "52   Jamshedpur       HOSUR  OR04M5329                        Krishnavaram   \n",
       "41   Jamshedpur       HOSUR  OR04M5329                           Kalaparru   \n",
       "42   Jamshedpur       HOSUR  OR04M5329                           Kalaparru   \n",
       "84   Jamshedpur       HOSUR  OR04M5329                           Pottipadu   \n",
       "85   Jamshedpur       HOSUR  OR04M5329                           Pottipadu   \n",
       "46   Jamshedpur       HOSUR  OR04M5329                                Kaza   \n",
       "8    Jamshedpur       HOSUR  OR04M5329                           Bolapalli   \n",
       "..          ...         ...        ...                                 ...   \n",
       "16   Jamshedpur       HOSUR  OR07W2988                             Budanam   \n",
       "50   Jamshedpur       HOSUR  OR07W2988                         Krishnagiri   \n",
       "25   Jamshedpur       HOSUR  OR07W2988                            Gaddurur   \n",
       "72   Jamshedpur       HOSUR  OR07W2988                            Mulbagal   \n",
       "39   Jamshedpur       HOSUR  OR07W2988                             Hoskote   \n",
       "1    Jamshedpur       HOSUR  OR07W2988                     Attibele (BETL)   \n",
       "93   Jamshedpur       HOSUR  OR11J1747                            Sergrarh   \n",
       "83   Jamshedpur       HOSUR  OR11J1747                           Panikholi   \n",
       "69   Jamshedpur       HOSUR  OR11J1747                             Manguli   \n",
       "31   Jamshedpur       HOSUR  OR11J1747            Gudipada (Old Gangapada)   \n",
       "36   Jamshedpur       HOSUR  OR11J1747                           Gurapalli   \n",
       "7    Jamshedpur       HOSUR  OR11J1747                           Bellupada   \n",
       "64   Jamshedpur       HOSUR  OR11J1747                             Madapam   \n",
       "22   Jamshedpur       HOSUR  OR11J1747                        Chilakapalem   \n",
       "59   Jamshedpur       HOSUR  OR11J1747                          Laxmipuram   \n",
       "78   Jamshedpur       HOSUR  OR11J1747           Nathavalasa/ Vizianagaram   \n",
       "107  Jamshedpur       HOSUR  OR11J1747                             Vempadu   \n",
       "54   Jamshedpur       HOSUR  OR11J1747                        Krishnavaram   \n",
       "45   Jamshedpur       HOSUR  OR11J1747                           Kalaparru   \n",
       "88   Jamshedpur       HOSUR  OR11J1747                           Pottipadu   \n",
       "49   Jamshedpur       HOSUR  OR11J1747                                Kaza   \n",
       "12   Jamshedpur       HOSUR  OR11J1747                           Bolapalli   \n",
       "102  Jamshedpur       HOSUR  OR11J1747                            Tangutur   \n",
       "98   Jamshedpur       HOSUR  OR11J1747                Sunambatti (Musunur)   \n",
       "112  Jamshedpur       HOSUR  OR11J1747  Venkatachallam &#160;(Old Nellore)   \n",
       "17   Jamshedpur       HOSUR  OR11J1747                             Budanam   \n",
       "26   Jamshedpur       HOSUR  OR11J1747                            Gaddurur   \n",
       "73   Jamshedpur       HOSUR  OR11J1747                            Mulbagal   \n",
       "40   Jamshedpur       HOSUR  OR11J1747                             Hoskote   \n",
       "2    Jamshedpur       HOSUR  OR11J1747                     Attibele (BETL)   \n",
       "\n",
       "    delivery_status           start_date    unloading_in_time  \\\n",
       "89            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "90            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "79            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "80            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "65            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "66            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "27            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "28            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "32            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "33            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "3             early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "4             early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "60            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "61            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "18            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "19            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "55            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "74            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "56            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "75            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "103           early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "104           early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "51            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "52            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "41            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "42            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "84            early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "85            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "46            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "8             early  2017-11-05 00:00:00  2017-11-10 23:00:01   \n",
       "..              ...                  ...                  ...   \n",
       "16          on-time  2017-11-25 00:00:00  2017-12-04 08:19:42   \n",
       "50            early  2017-11-05 00:00:00  2017-11-12 21:21:39   \n",
       "25          on-time  2017-11-25 00:00:00  2017-12-04 08:19:42   \n",
       "72          on-time  2017-11-25 00:00:00  2017-12-04 08:19:42   \n",
       "39          on-time  2017-11-25 00:00:00  2017-12-04 08:19:42   \n",
       "1           on-time  2017-11-25 00:00:00  2017-12-04 08:19:42   \n",
       "93             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "83             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "69             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "31             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "36             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "7              late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "64             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "22             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "59             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "78             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "107            late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "54             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "45             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "88             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "49             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "12             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "102            late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "98             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "112            late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "17             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "26             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "73             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "40             late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "2              late  2017-11-24 00:00:00  2017-12-03 00:00:42   \n",
       "\n",
       "     distance_travelled  time_taken     Predict    compare  \n",
       "89                 0.00   59.829722   68.959044   9.129322  \n",
       "90                 0.00   20.059444   27.844204   7.784760  \n",
       "79                93.42   62.149167   70.826670   8.677503  \n",
       "80                93.87   22.245833   29.722759   7.476926  \n",
       "65               147.15   63.651944   71.128400   7.476455  \n",
       "66               147.47   23.729444   30.021331   6.291887  \n",
       "27               203.32   65.085278   70.285521   5.200244  \n",
       "28               203.53   25.381944   29.175782   3.793837  \n",
       "32               291.19   69.220278   72.620287   3.400009  \n",
       "33               291.73   27.318056   31.518562   4.200507  \n",
       "3                375.60   71.928611   75.784771   3.856160  \n",
       "4                375.78   30.110278   36.668348   6.558070  \n",
       "60               489.33   77.204444   79.037722   1.833278  \n",
       "61               491.05   34.882500   37.964656   3.082156  \n",
       "18               515.44   77.934444   79.698252   1.763808  \n",
       "19               518.41   35.636944   40.688672   5.051728  \n",
       "55               553.85   79.242778   80.404091   1.161313  \n",
       "74               553.85   79.242778   81.407315   2.164537  \n",
       "56               558.20   37.248056   39.394901   2.146845  \n",
       "75               558.20   37.248056   40.398125   3.150069  \n",
       "103              679.35   84.769167   86.461814   1.692647  \n",
       "104              686.57   49.626389   49.198887  -0.427502  \n",
       "51               747.75   86.603611   84.912745  -1.690866  \n",
       "52               756.30   52.279722   44.992965  -7.286757  \n",
       "41               888.86   91.179167   90.634435  -0.544731  \n",
       "42               901.74   57.011944   53.954575  -3.057369  \n",
       "84               909.26   92.144167   90.841827  -1.302339  \n",
       "85               922.81   57.628611   56.338173  -1.290438  \n",
       "46               968.52   59.279722   57.231359  -2.048363  \n",
       "8               1036.63  102.793611  101.230906  -1.562705  \n",
       "..                  ...         ...         ...        ...  \n",
       "16              1270.29   90.931944   96.314242   5.382298  \n",
       "50              1482.41   94.059444   98.896782   4.837338  \n",
       "25              1487.04  109.203056  108.577929  -0.625126  \n",
       "72              1517.61  110.007222  111.228070   1.220848  \n",
       "39              1578.99  112.044167  113.936796   1.892629  \n",
       "1               1615.10  121.713056  115.469159  -6.243897  \n",
       "93                 0.00   94.164444   91.037945  -3.126499  \n",
       "83                93.65  100.467500   96.186358  -4.281142  \n",
       "69               147.45  101.817222   98.968426  -2.848796  \n",
       "31               203.95  103.086944  101.627983  -1.458961  \n",
       "36               292.36  105.640000  106.620011   0.980011  \n",
       "7                376.37  115.501111  111.001101  -4.500010  \n",
       "64               491.59  118.126944  118.131452   0.004508  \n",
       "22               518.90  118.896667  119.112268   0.215602  \n",
       "59               558.73  120.105556  121.842259   1.736703  \n",
       "78               558.73  120.105556  122.070236   1.964680  \n",
       "107              686.93  130.636389  129.698826  -0.937563  \n",
       "54               756.20  135.525000  132.844871  -2.680129  \n",
       "45               900.98  142.965000  140.808351  -2.156649  \n",
       "88               922.85  143.588056  142.624692  -0.963364  \n",
       "49               972.06  147.058056  144.830786  -2.227269  \n",
       "12              1054.34  154.418056  148.978298  -5.439757  \n",
       "102             1118.16  155.735000  153.688836  -2.046164  \n",
       "98              1180.07  156.925278  157.107031   0.181753  \n",
       "112             1247.97  160.078889  161.133931   1.055042  \n",
       "17              1278.47  164.408056  161.563696  -2.844359  \n",
       "26              1495.68  179.472778  173.853120  -5.619658  \n",
       "73              1526.00  180.882778  176.142228  -4.740550  \n",
       "40              1588.94  184.901667  179.253286  -5.648381  \n",
       "2               1625.30  191.201389  180.831629 -10.369759  \n",
       "\n",
       "[113 rows x 11 columns]"
      ]
     },
     "execution_count": 570,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.sort_values(['vehicle_no','distance_travelled'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_df[]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 566,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "98.004588651756649"
      ]
     },
     "execution_count": 566,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf_mlp.score(X_test_std,test_y)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:4: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num = 1\n",
    "dict_vehicle_no = {}\n",
    "for truck in final_df['vehicle_no'].unique().tolist():\n",
    "    final_df['vehicle_no'] = final_df['vehicle_no'].replace({truck: num})\n",
    "    dict_vehicle_no[num] = truck \n",
    "    num += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "final_df['truck_route'] = final_df['vehicle_no'].apply(str)+ '  ' + final_df['toll_both']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4114               1  Gudipada (Old Gangapada)\n",
       "4804                                1  Vempadu\n",
       "4455                                2  Manguli\n",
       "3914                              2  Bellupada\n",
       "4225                              2  Kalaparru\n",
       "4761                               2  Tangutur\n",
       "4501                               2  Mulbagal\n",
       "4632                              3  Pottipadu\n",
       "3948                              4  Bolapalli\n",
       "3992                                4  Budanam\n",
       "4117               5  Gudipada (Old Gangapada)\n",
       "4410                                5  Madapam\n",
       "4808                                5  Vempadu\n",
       "4634                              5  Pottipadu\n",
       "4588                              6  Panikholi\n",
       "4164                              7  Gurapalli\n",
       "4324                           7  Krishnavaram\n",
       "4635                              7  Pottipadu\n",
       "4720                   7  Sunambatti (Musunur)\n",
       "4165                              8  Gurapalli\n",
       "4542              8  Nathavalasa/ Vizianagaram\n",
       "4721                   8  Sunambatti (Musunur)\n",
       "4461                                9  Manguli\n",
       "4040                           9  Chilakapalem\n",
       "4812                                9  Vempadu\n",
       "4232                              9  Kalaparru\n",
       "4122              10  Gudipada (Old Gangapada)\n",
       "4041                          10  Chilakapalem\n",
       "4371                            10  Laxmipuram\n",
       "4327                          10  Krishnavaram\n",
       "                         ...                  \n",
       "4263                             39  Kalaparru\n",
       "4668                             39  Pottipadu\n",
       "4796                              39  Tangutur\n",
       "4625                             40  Panikholi\n",
       "3943                             40  Bellupada\n",
       "4403                            40  Laxmipuram\n",
       "4576             40  Nathavalasa/ Vizianagaram\n",
       "4756                  40  Sunambatti (Musunur)\n",
       "4889    40  Venkatachallam &#160;(Old Nellore)\n",
       "4222                               40  Hoskote\n",
       "4448                               41  Madapam\n",
       "4404                            41  Laxmipuram\n",
       "4577             41  Nathavalasa/ Vizianagaram\n",
       "4802                           41  Vaniyambadi\n",
       "4714                              42  Sergrarh\n",
       "4449                               42  Madapam\n",
       "4266                             42  Kalaparru\n",
       "4671                             42  Pottipadu\n",
       "4891    42  Venkatachallam &#160;(Old Nellore)\n",
       "4203                             43  Gurapalli\n",
       "4405                            43  Laxmipuram\n",
       "4361                          43  Krishnavaram\n",
       "4267                             43  Kalaparru\n",
       "4759                  43  Sunambatti (Musunur)\n",
       "4534                              43  Mulbagal\n",
       "4223                               43  Hoskote\n",
       "4500                               44  Manguli\n",
       "4158              44  Gudipada (Old Gangapada)\n",
       "3990                             44  Bolapalli\n",
       "4113                              44  Gaddurur\n",
       "Name: truck_route, Length: 198, dtype: object"
      ]
     },
     "execution_count": 378,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.truck_route"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 567,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_df['compare'] = (final_df['Predict'] - final_df['time_taken'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 568,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>origin</th>\n",
       "      <th>destination</th>\n",
       "      <th>vehicle_no</th>\n",
       "      <th>toll_both</th>\n",
       "      <th>delivery_status</th>\n",
       "      <th>start_date</th>\n",
       "      <th>unloading_in_time</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>time_taken</th>\n",
       "      <th>Predict</th>\n",
       "      <th>compare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Hoskote</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>1584.69</td>\n",
       "      <td>90.010833</td>\n",
       "      <td>100.625874</td>\n",
       "      <td>10.615041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Attibele (BETL)</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>1620.49</td>\n",
       "      <td>91.733889</td>\n",
       "      <td>102.385693</td>\n",
       "      <td>10.651805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR07W2988</td>\n",
       "      <td>Chilakapalem</td>\n",
       "      <td>on-time</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 08:19:42</td>\n",
       "      <td>516.97</td>\n",
       "      <td>43.390833</td>\n",
       "      <td>54.212494</td>\n",
       "      <td>10.821661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Mulbagal</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>1523.88</td>\n",
       "      <td>86.005278</td>\n",
       "      <td>97.962883</td>\n",
       "      <td>11.957605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OR04M5329</td>\n",
       "      <td>Venkatachallam &amp;#160;(Old Nellore)</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-25 00:00:00</td>\n",
       "      <td>2017-12-04 00:00:53</td>\n",
       "      <td>1244.08</td>\n",
       "      <td>67.995000</td>\n",
       "      <td>82.228255</td>\n",
       "      <td>14.233255</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         origin destination vehicle_no                           toll_both  \\\n",
       "38   Jamshedpur       HOSUR  OR04M5329                             Hoskote   \n",
       "0    Jamshedpur       HOSUR  OR04M5329                     Attibele (BETL)   \n",
       "21   Jamshedpur       HOSUR  OR07W2988                        Chilakapalem   \n",
       "71   Jamshedpur       HOSUR  OR04M5329                            Mulbagal   \n",
       "109  Jamshedpur       HOSUR  OR04M5329  Venkatachallam &#160;(Old Nellore)   \n",
       "\n",
       "    delivery_status           start_date    unloading_in_time  \\\n",
       "38            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "0             early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "21          on-time  2017-11-25 00:00:00  2017-12-04 08:19:42   \n",
       "71            early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "109           early  2017-11-25 00:00:00  2017-12-04 00:00:53   \n",
       "\n",
       "     distance_travelled  time_taken     Predict    compare  \n",
       "38              1584.69   90.010833  100.625874  10.615041  \n",
       "0               1620.49   91.733889  102.385693  10.651805  \n",
       "21               516.97   43.390833   54.212494  10.821661  \n",
       "71              1523.88   86.005278   97.962883  11.957605  \n",
       "109             1244.08   67.995000   82.228255  14.233255  "
      ]
     },
     "execution_count": 568,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.sort_values(['compare']).tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 569,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.46046842748608435,\n",
       " 0.4343291863725014,\n",
       " 14.233255101389645,\n",
       " -13.182477955681421)"
      ]
     },
     "execution_count": 569,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df['compare'].mean(), final_df['compare'].median(), final_df['compare'].max(), final_df['compare'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 409,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>origin</th>\n",
       "      <th>destination</th>\n",
       "      <th>vehicle_no</th>\n",
       "      <th>toll_both</th>\n",
       "      <th>delivery_status</th>\n",
       "      <th>start_date</th>\n",
       "      <th>unloading_in_time</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>time_taken</th>\n",
       "      <th>Predicted time taken</th>\n",
       "      <th>truck_route</th>\n",
       "      <th>compare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4113</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>44</td>\n",
       "      <td>Gaddurur</td>\n",
       "      <td>late</td>\n",
       "      <td>2017-11-05 00:00:00</td>\n",
       "      <td>2017-11-21 04:31:59</td>\n",
       "      <td>1490.36</td>\n",
       "      <td>236.088889</td>\n",
       "      <td>277.498204</td>\n",
       "      <td>44  Gaddurur</td>\n",
       "      <td>41.409315</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          origin destination  vehicle_no toll_both delivery_status  \\\n",
       "4113  Jamshedpur       HOSUR          44  Gaddurur            late   \n",
       "\n",
       "               start_date    unloading_in_time  distance_travelled  \\\n",
       "4113  2017-11-05 00:00:00  2017-11-21 04:31:59             1490.36   \n",
       "\n",
       "      time_taken  Predicted time taken   truck_route    compare  \n",
       "4113  236.088889            277.498204  44  Gaddurur  41.409315  "
      ]
     },
     "execution_count": 409,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df[final_df['compare'] == 41.409314775984086]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 410,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>delivery_status</th>\n",
       "      <th>start_date</th>\n",
       "      <th>unloading_in_time</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>time_taken</th>\n",
       "      <th>Predicted time taken</th>\n",
       "      <th>truck_route</th>\n",
       "      <th>compare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4714</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>42</td>\n",
       "      <td>Sergrarh</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-04 00:00:00</td>\n",
       "      <td>2017-11-10 03:37:24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.106667</td>\n",
       "      <td>12.170794</td>\n",
       "      <td>42  Sergrarh</td>\n",
       "      <td>-9.935873</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          origin destination  vehicle_no toll_both delivery_status  \\\n",
       "4714  Jamshedpur       HOSUR          42  Sergrarh           early   \n",
       "\n",
       "               start_date    unloading_in_time  distance_travelled  \\\n",
       "4714  2017-11-04 00:00:00  2017-11-10 03:37:24                 0.0   \n",
       "\n",
       "      time_taken  Predicted time taken   truck_route   compare  \n",
       "4714   22.106667             12.170794  42  Sergrarh -9.935873  "
      ]
     },
     "execution_count": 410,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df[final_df['compare'] == -9.9358726737970464]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 426,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "final_df['vehicle_no'] = final_df['vehicle_no'].replace(dict_vehicle_no)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 429,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 429,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.vehicle_no.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>origin</th>\n",
       "      <th>destination</th>\n",
       "      <th>vehicle_no</th>\n",
       "      <th>toll_both</th>\n",
       "      <th>delivery_status</th>\n",
       "      <th>start_date</th>\n",
       "      <th>unloading_in_time</th>\n",
       "      <th>distance_travelled</th>\n",
       "      <th>time_taken</th>\n",
       "      <th>Predicted time taken</th>\n",
       "      <th>truck_route</th>\n",
       "      <th>compare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4691</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OD04F1729</td>\n",
       "      <td>Sergrarh</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-29 00:39:38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>44.056389</td>\n",
       "      <td>38.528958</td>\n",
       "      <td>21  Sergrarh</td>\n",
       "      <td>-5.527431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4426</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OD04F1729</td>\n",
       "      <td>Madapam</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-29 00:39:38</td>\n",
       "      <td>476.22</td>\n",
       "      <td>59.438333</td>\n",
       "      <td>57.683643</td>\n",
       "      <td>21  Madapam</td>\n",
       "      <td>-1.754690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4382</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OD04F1729</td>\n",
       "      <td>Laxmipuram</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-29 00:39:38</td>\n",
       "      <td>541.77</td>\n",
       "      <td>61.170556</td>\n",
       "      <td>59.840804</td>\n",
       "      <td>21  Laxmipuram</td>\n",
       "      <td>-1.329752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4649</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OD04F1729</td>\n",
       "      <td>Pottipadu</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-29 00:39:38</td>\n",
       "      <td>719.15</td>\n",
       "      <td>74.790833</td>\n",
       "      <td>76.788036</td>\n",
       "      <td>21  Pottipadu</td>\n",
       "      <td>1.997203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4286</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OD04F1729</td>\n",
       "      <td>Kaza</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-29 00:39:38</td>\n",
       "      <td>764.62</td>\n",
       "      <td>76.024444</td>\n",
       "      <td>78.332229</td>\n",
       "      <td>21  Kaza</td>\n",
       "      <td>2.307785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3964</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OD04F1729</td>\n",
       "      <td>Bolapalli</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-29 00:39:38</td>\n",
       "      <td>837.86</td>\n",
       "      <td>77.828056</td>\n",
       "      <td>80.584650</td>\n",
       "      <td>21  Bolapalli</td>\n",
       "      <td>2.756595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4777</th>\n",
       "      <td>Jamshedpur</td>\n",
       "      <td>HOSUR</td>\n",
       "      <td>OD04F1729</td>\n",
       "      <td>Tangutur</td>\n",
       "      <td>early</td>\n",
       "      <td>2017-11-24 00:00:00</td>\n",
       "      <td>2017-11-29 00:39:38</td>\n",
       "      <td>883.44</td>\n",
       "      <td>79.942222</td>\n",
       "      <td>83.198698</td>\n",
       "      <td>21  Tangutur</td>\n",
       "      <td>3.256476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          origin destination vehicle_no   toll_both delivery_status  \\\n",
       "4691  Jamshedpur       HOSUR  OD04F1729    Sergrarh           early   \n",
       "4426  Jamshedpur       HOSUR  OD04F1729     Madapam           early   \n",
       "4382  Jamshedpur       HOSUR  OD04F1729  Laxmipuram           early   \n",
       "4649  Jamshedpur       HOSUR  OD04F1729   Pottipadu           early   \n",
       "4286  Jamshedpur       HOSUR  OD04F1729        Kaza           early   \n",
       "3964  Jamshedpur       HOSUR  OD04F1729   Bolapalli           early   \n",
       "4777  Jamshedpur       HOSUR  OD04F1729    Tangutur           early   \n",
       "\n",
       "               start_date    unloading_in_time  distance_travelled  \\\n",
       "4691  2017-11-24 00:00:00  2017-11-29 00:39:38                0.00   \n",
       "4426  2017-11-24 00:00:00  2017-11-29 00:39:38              476.22   \n",
       "4382  2017-11-24 00:00:00  2017-11-29 00:39:38              541.77   \n",
       "4649  2017-11-24 00:00:00  2017-11-29 00:39:38              719.15   \n",
       "4286  2017-11-24 00:00:00  2017-11-29 00:39:38              764.62   \n",
       "3964  2017-11-24 00:00:00  2017-11-29 00:39:38              837.86   \n",
       "4777  2017-11-24 00:00:00  2017-11-29 00:39:38              883.44   \n",
       "\n",
       "      time_taken  Predicted time taken     truck_route   compare  \n",
       "4691   44.056389             38.528958    21  Sergrarh -5.527431  \n",
       "4426   59.438333             57.683643     21  Madapam -1.754690  \n",
       "4382   61.170556             59.840804  21  Laxmipuram -1.329752  \n",
       "4649   74.790833             76.788036   21  Pottipadu  1.997203  \n",
       "4286   76.024444             78.332229        21  Kaza  2.307785  \n",
       "3964   77.828056             80.584650   21  Bolapalli  2.756595  \n",
       "4777   79.942222             83.198698    21  Tangutur  3.256476  "
      ]
     },
     "execution_count": 430,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df[final_df['vehicle_no'] == 'OD04F1729']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~mainakchain/12.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 392,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trace0 = go.Scatter(\n",
    "    x = final_df.sort_values(['truck_route']).truck_route.tolist(),\n",
    "    y = final_df['Predicted time taken'].tolist(),\n",
    "    mode = 'lines',\n",
    "    name = 'lines'\n",
    ")\n",
    "trace1 = go.Scatter(\n",
    "    x = final_df.sort_values(['truck_route']).truck_route.tolist(),\n",
    "    y = final_df['time_taken'].tolist(),\n",
    "    mode = 'lines',\n",
    "    name = 'lines'\n",
    ")\n",
    "data = [trace0, trace1]\n",
    "\n",
    "py.iplot(data, filename='compare predicted data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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