6.0 Analysis TripUpdates.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "b2368a79",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T20:13:47.930036Z",
     "start_time": "2022-05-19T20:13:47.922690Z"
    }
   },
   "outputs": [],
   "source": [
    "from google.transit import gtfs_realtime_pb2\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import Point\n",
    "import contextily as cx\n",
    "import matplotlib.pyplot as plt\n",
    "from glob import glob\n",
    "from tqdm.notebook import tqdm\n",
    "import seaborn as sns\n",
    "from datetime import datetime, timedelta\n",
    "import sklearn\n",
    "\n",
    "pd.set_option('display.max_columns', 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44780b47",
   "metadata": {},
   "source": [
    "# Initialisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "ba17d591",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T18:59:41.308370Z",
     "start_time": "2022-05-19T18:59:41.261823Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>route_id</th>\n",
       "      <th>trip_id</th>\n",
       "      <th>direction_id</th>\n",
       "      <th>route_desc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1259</th>\n",
       "      <td>9011001003000000</td>\n",
       "      <td>14010000574685922</td>\n",
       "      <td>0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>9011001003000000</td>\n",
       "      <td>14010000581057015</td>\n",
       "      <td>0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>9011001003000000</td>\n",
       "      <td>14010000574858062</td>\n",
       "      <td>1</td>\n",
       "      <td>Tvärbanan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>9011001003000000</td>\n",
       "      <td>14010000586634410</td>\n",
       "      <td>1</td>\n",
       "      <td>Tvärbanan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>9011001003000000</td>\n",
       "      <td>14010000580369983</td>\n",
       "      <td>0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              route_id            trip_id  direction_id route_desc\n",
       "1259  9011001003000000  14010000574685922             0  Tvärbanan\n",
       "642   9011001003000000  14010000581057015             0  Tvärbanan\n",
       "81    9011001003000000  14010000574858062             1  Tvärbanan\n",
       "937   9011001003000000  14010000586634410             1  Tvärbanan\n",
       "611   9011001003000000  14010000580369983             0  Tvärbanan"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Trips and routes.\n",
    "trips = pd.read_csv('./data/2-working-data/tvarbanan-trips.csv', index_col=0)\n",
    "trips.trip_id = trips.trip_id.astype(str)\n",
    "trips = trips.drop(columns=['service_id', 'trip_headsign', 'agency_id', \n",
    "                            'shape_id', 'route_type', 'route_long_name', \n",
    "                            'route_short_name'])\n",
    "\n",
    "# Filter only Tvärbanan\n",
    "trips_selected = trips[trips.route_desc.str.contains('Tvär') == True]\n",
    "trips_selected.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8a437d28",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T15:23:00.125162Z",
     "start_time": "2022-05-19T15:22:08.741489Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ivo/opt/anaconda3/lib/python3.8/site-packages/pandas/core/dtypes/cast.py:112: ShapelyDeprecationWarning: The array interface is deprecated and will no longer work in Shapely 2.0. Convert the '.coords' to a numpy array instead.\n",
      "  values = construct_1d_object_array_from_listlike(values)\n"
     ]
    },
    {
     "data": {
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       "      <th>10916</th>\n",
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       "      <th>11105</th>\n",
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       "      <td>1</td>\n",
       "      <td>POINT (17.97045 59.36087)</td>\n",
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       "      <th>11106</th>\n",
       "      <td>9022001004543002</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>2</td>\n",
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       "      <th>12760</th>\n",
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       "      <td>1</td>\n",
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       "      <th>12761</th>\n",
       "      <td>9022001004505002</td>\n",
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       "                stop_id            stop_name  direction  \\\n",
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       "11106  9022001004543002  Sundbybergs centrum          2   \n",
       "12760  9022001004505001                Linde          1   \n",
       "12761  9022001004505002                Linde          2   \n",
       "\n",
       "                        geometry  \n",
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Stops selected for Tvärbanan\n",
    "stops = pd.read_csv('./data/2-working-data/tvarbanan-stops.csv', index_col=0)\n",
    "stops.stop_id = stops.stop_id.astype(str)\n",
    "\n",
    "# Change to GeoDataFrame\n",
    "stops['geometry'] = stops.apply(lambda x: Point(x.stop_lon, x.stop_lat), axis=1)\n",
    "stops = stops.drop(columns=['location_type', 'stop_lat', 'stop_lon', 'platform_code', 'parent_station'])\n",
    "stops = gpd.GeoDataFrame(stops, crs='EPSG:4326')\n",
    "\n",
    "# Plot out and show stops\n",
    "ax = stops.plot()\n",
    "cx.add_basemap(ax, crs=stops.crs)\n",
    "\n",
    "stops.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "30087a9d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T15:23:43.928615Z",
     "start_time": "2022-05-19T15:23:00.128019Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ivo/opt/anaconda3/lib/python3.8/site-packages/numpy/lib/arraysetops.py:583: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  mask |= (ar1 == a)\n"
     ]
    },
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>trip_id</th>\n",
       "      <th>rel</th>\n",
       "      <th>stop_id</th>\n",
       "      <th>arrival_ts</th>\n",
       "      <th>arrival_delay</th>\n",
       "      <th>departure_ts</th>\n",
       "      <th>departure_delay</th>\n",
       "      <th>arrival_ts_sched</th>\n",
       "      <th>departure_ts_sched</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-06-04 21:59:33</td>\n",
       "      <td>14010000574690033</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004539001</td>\n",
       "      <td>2021-06-04 21:50:58</td>\n",
       "      <td>28</td>\n",
       "      <td>2021-06-04 21:51:39</td>\n",
       "      <td>69</td>\n",
       "      <td>2021-06-04 21:50:30</td>\n",
       "      <td>2021-06-04 21:50:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-06-04 21:59:33</td>\n",
       "      <td>14010000574690033</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004541001</td>\n",
       "      <td>2021-06-04 21:53:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 21:53:52</td>\n",
       "      <td>52</td>\n",
       "      <td>2021-06-04 21:53:00</td>\n",
       "      <td>2021-06-04 21:53:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-06-04 21:59:33</td>\n",
       "      <td>14010000574690033</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004543001</td>\n",
       "      <td>2021-06-04 21:54:37</td>\n",
       "      <td>7</td>\n",
       "      <td>2021-06-04 21:55:18</td>\n",
       "      <td>48</td>\n",
       "      <td>2021-06-04 21:54:30</td>\n",
       "      <td>2021-06-04 21:54:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-06-04 21:59:33</td>\n",
       "      <td>14010000574690033</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004545001</td>\n",
       "      <td>2021-06-04 21:56:54</td>\n",
       "      <td>54</td>\n",
       "      <td>2021-06-04 21:57:28</td>\n",
       "      <td>88</td>\n",
       "      <td>2021-06-04 21:56:00</td>\n",
       "      <td>2021-06-04 21:56:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-06-04 21:59:33</td>\n",
       "      <td>14010000574690033</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004547001</td>\n",
       "      <td>2021-06-04 21:59:33</td>\n",
       "      <td>93</td>\n",
       "      <td>2021-06-04 22:00:10</td>\n",
       "      <td>130</td>\n",
       "      <td>2021-06-04 21:58:00</td>\n",
       "      <td>2021-06-04 21:58:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp            trip_id  rel           stop_id  \\\n",
       "0 2021-06-04 21:59:33  14010000574690033    0  9022001004539001   \n",
       "1 2021-06-04 21:59:33  14010000574690033    0  9022001004541001   \n",
       "2 2021-06-04 21:59:33  14010000574690033    0  9022001004543001   \n",
       "3 2021-06-04 21:59:33  14010000574690033    0  9022001004545001   \n",
       "4 2021-06-04 21:59:33  14010000574690033    0  9022001004547001   \n",
       "\n",
       "           arrival_ts  arrival_delay        departure_ts  departure_delay  \\\n",
       "0 2021-06-04 21:50:58             28 2021-06-04 21:51:39               69   \n",
       "1 2021-06-04 21:53:00              0 2021-06-04 21:53:52               52   \n",
       "2 2021-06-04 21:54:37              7 2021-06-04 21:55:18               48   \n",
       "3 2021-06-04 21:56:54             54 2021-06-04 21:57:28               88   \n",
       "4 2021-06-04 21:59:33             93 2021-06-04 22:00:10              130   \n",
       "\n",
       "     arrival_ts_sched  departure_ts_sched  \n",
       "0 2021-06-04 21:50:30 2021-06-04 21:50:30  \n",
       "1 2021-06-04 21:53:00 2021-06-04 21:53:00  \n",
       "2 2021-06-04 21:54:30 2021-06-04 21:54:30  \n",
       "3 2021-06-04 21:56:00 2021-06-04 21:56:00  \n",
       "4 2021-06-04 21:58:00 2021-06-04 21:58:00  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read in all csv's following a GLOB pattern.\n",
    "tu_df = pd.concat([\n",
    "    pd.read_csv(csv_file, index_col=0) \n",
    "    for csv_file in glob('./data/3-cleaned-data/TU-tvarbanan-202106*.csv')[:14]])\n",
    "\n",
    "# Allow for merging below\n",
    "tu_df.trip_id = tu_df.trip_id.astype(str)\n",
    "tu_df.stop_id = tu_df.stop_id.astype(str)\n",
    "\n",
    "# Interpret timestamps\n",
    "tu_df.timestamp    = pd.to_datetime(tu_df.timestamp, unit='s')\n",
    "tu_df.arrival_ts   = pd.to_datetime(tu_df.arrival_ts, unit='s')\n",
    "tu_df.departure_ts = pd.to_datetime(tu_df.departure_ts, unit='s')\n",
    "\n",
    "# Not necessary, it seems like trip_id is unique. \n",
    "# tu_df['week'] = tu_df.arrival_ts.dt.isocalendar().week\n",
    "\n",
    "# Reset records without valid timestamp, eg, 1970 unix zero.\n",
    "tu_df.loc[tu_df.arrival_ts.dt.year == 1970, 'arrival_ts'] = None\n",
    "tu_df.loc[tu_df.departure_ts.dt.year == 1970, 'departure_ts'] = None\n",
    "\n",
    "# Calculate true departure times\n",
    "tu_df['arrival_ts_sched']   = tu_df.arrival_ts - pd.to_timedelta(tu_df.arrival_delay, unit='s')\n",
    "tu_df['departure_ts_sched'] = tu_df.departure_ts - pd.to_timedelta(tu_df.departure_delay, unit='s')\n",
    "\n",
    "# Output head.\n",
    "tu_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2b29b92f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T15:24:05.276284Z",
     "start_time": "2022-05-19T15:23:43.930902Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>timestamp</th>\n",
       "      <th>trip_id</th>\n",
       "      <th>stop_id</th>\n",
       "      <th>arrival_delay</th>\n",
       "      <th>direction_id</th>\n",
       "      <th>departure_delay</th>\n",
       "      <th>route_desc</th>\n",
       "      <th>stop_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>939601</th>\n",
       "      <td>2021-06-11 06:38:41</td>\n",
       "      <td>14010000586385704</td>\n",
       "      <td>9022001004529002</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>Luma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11501111</th>\n",
       "      <td>2021-06-28 11:23:31</td>\n",
       "      <td>14010000586207802</td>\n",
       "      <td>9022001004549001</td>\n",
       "      <td>-89</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>Solna station</td>\n",
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       "    <tr>\n",
       "      <th>1367601</th>\n",
       "      <td>2021-06-10 05:07:48</td>\n",
       "      <td>14010000585743334</td>\n",
       "      <td>9022001004535001</td>\n",
       "      <td>-57</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>Johannesfred</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2056360</th>\n",
       "      <td>2021-06-10 17:23:36</td>\n",
       "      <td>14010000574684744</td>\n",
       "      <td>9022001004503002</td>\n",
       "      <td>521</td>\n",
       "      <td>0.0</td>\n",
       "      <td>554</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>Globen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2194830</th>\n",
       "      <td>2021-06-10 20:44:30</td>\n",
       "      <td>14010000574686647</td>\n",
       "      <td>9022001004501001</td>\n",
       "      <td>-64</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>Gullmarsplan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   timestamp            trip_id           stop_id  \\\n",
       "939601   2021-06-11 06:38:41  14010000586385704  9022001004529002   \n",
       "11501111 2021-06-28 11:23:31  14010000586207802  9022001004549001   \n",
       "1367601  2021-06-10 05:07:48  14010000585743334  9022001004535001   \n",
       "2056360  2021-06-10 17:23:36  14010000574684744  9022001004503002   \n",
       "2194830  2021-06-10 20:44:30  14010000574686647  9022001004501001   \n",
       "\n",
       "          arrival_delay  direction_id  departure_delay route_desc  \\\n",
       "939601                0           0.0                0  Tvärbanan   \n",
       "11501111            -89           0.0                0  Tvärbanan   \n",
       "1367601             -57           1.0               32  Tvärbanan   \n",
       "2056360             521           0.0              554  Tvärbanan   \n",
       "2194830             -64           1.0               19  Tvärbanan   \n",
       "\n",
       "              stop_name  \n",
       "939601             Luma  \n",
       "11501111  Solna station  \n",
       "1367601    Johannesfred  \n",
       "2056360          Globen  \n",
       "2194830    Gullmarsplan  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge trips, routes and stop-data into TripUpdate_df. \n",
    "tu_df_merged = tu_df.merge(stops, how='left', on='stop_id')\n",
    "tu_df_merged = tu_df_merged.merge(trips, how='left', on=['trip_id', 'direction_id'])\n",
    "tu_df_merged['trip_date'] = tu_df_merged.arrival_ts\n",
    "tu_df_merged[['timestamp', 'trip_id', 'stop_id', 'arrival_delay', 'direction_id',\n",
    "              'departure_delay', 'route_desc', 'stop_name']].sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "2dc65d17",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T20:38:40.845488Z",
     "start_time": "2022-05-19T20:38:40.497631Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>trip_id</th>\n",
       "      <th>rel</th>\n",
       "      <th>stop_id</th>\n",
       "      <th>arrival_ts</th>\n",
       "      <th>arrival_delay</th>\n",
       "      <th>departure_ts</th>\n",
       "      <th>departure_delay</th>\n",
       "      <th>arrival_ts_sched</th>\n",
       "      <th>departure_ts_sched</th>\n",
       "      <th>stop_name</th>\n",
       "      <th>direction</th>\n",
       "      <th>geometry</th>\n",
       "      <th>route_id</th>\n",
       "      <th>direction_id</th>\n",
       "      <th>route_desc</th>\n",
       "      <th>trip_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28238</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004549001</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>-89</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>Solna station</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.00824 59.36376)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
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       "    <tr>\n",
       "      <th>28239</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004547002</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.99627 59.36137)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28240</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004545002</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>Solna Business Park</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97994 59.35925)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28241</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004543002</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97036 59.36081)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28242</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004541002</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96289 59.36069)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28243</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004539002</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>Karlsbodavägen</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96128 59.35598)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28244</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004537002</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>Norra Ulvsunda</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96240 59.34980)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28245</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004535002</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>Johannesfred</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96967 59.34281)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28364</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004549001</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>-89</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>Solna station</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.00824 59.36376)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28365</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004547002</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.99627 59.36137)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28366</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004545002</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>Solna Business Park</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97994 59.35925)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28367</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004543002</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97036 59.36081)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28368</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004541002</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96289 59.36069)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28369</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004539002</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>Karlsbodavägen</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96128 59.35598)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28370</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004537002</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>Norra Ulvsunda</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96240 59.34980)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28371</th>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004535002</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>Johannesfred</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96967 59.34281)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28489</th>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004549001</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>-89</td>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>-52</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>Solna station</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.00824 59.36376)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28490</th>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004547002</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.99627 59.36137)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28491</th>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004545002</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>Solna Business Park</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97994 59.35925)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28492</th>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004543002</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97036 59.36081)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28493</th>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004541002</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96289 59.36069)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28494</th>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004539002</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>Karlsbodavägen</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96128 59.35598)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28495</th>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004537002</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>Norra Ulvsunda</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96240 59.34980)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28496</th>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004535002</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>Johannesfred</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96967 59.34281)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28614</th>\n",
       "      <td>2021-06-04 23:06:25</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004549001</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>-89</td>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>-52</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>Solna station</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.00824 59.36376)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28615</th>\n",
       "      <td>2021-06-04 23:06:25</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004547002</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.99627 59.36137)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28616</th>\n",
       "      <td>2021-06-04 23:06:25</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004545002</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>Solna Business Park</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97994 59.35925)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28617</th>\n",
       "      <td>2021-06-04 23:06:25</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004543002</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97036 59.36081)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28618</th>\n",
       "      <td>2021-06-04 23:06:25</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004541002</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96289 59.36069)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28619</th>\n",
       "      <td>2021-06-04 23:06:25</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004539002</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>Karlsbodavägen</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96128 59.35598)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28620</th>\n",
       "      <td>2021-06-04 23:06:25</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004537002</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>Norra Ulvsunda</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96240 59.34980)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28621</th>\n",
       "      <td>2021-06-04 23:06:25</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004535002</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>Johannesfred</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96967 59.34281)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28738</th>\n",
       "      <td>2021-06-04 23:06:45</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004549001</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>-89</td>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>-52</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>Solna station</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.00824 59.36376)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28739</th>\n",
       "      <td>2021-06-04 23:06:45</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004547002</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.99627 59.36137)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28740</th>\n",
       "      <td>2021-06-04 23:06:45</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004545002</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>Solna Business Park</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97994 59.35925)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28741</th>\n",
       "      <td>2021-06-04 23:06:45</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004543002</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97036 59.36081)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28742</th>\n",
       "      <td>2021-06-04 23:06:45</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004541002</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96289 59.36069)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28743</th>\n",
       "      <td>2021-06-04 23:06:45</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004539002</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>Karlsbodavägen</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96128 59.35598)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28744</th>\n",
       "      <td>2021-06-04 23:06:45</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004537002</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>Norra Ulvsunda</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96240 59.34980)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28745</th>\n",
       "      <td>2021-06-04 23:06:45</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004535002</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>Johannesfred</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96967 59.34281)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28862</th>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004549001</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>-89</td>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>-52</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>Solna station</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.00824 59.36376)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28863</th>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004547002</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.99627 59.36137)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28864</th>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004545002</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "      <td>Solna Business Park</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97994 59.35925)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:09:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28865</th>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004543002</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.97036 59.36081)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28866</th>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004541002</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96289 59.36069)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28867</th>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004539002</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "      <td>Karlsbodavägen</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96128 59.35598)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28868</th>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004537002</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "      <td>Norra Ulvsunda</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96240 59.34980)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:16:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28869</th>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004535002</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "      <td>Johannesfred</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.96967 59.34281)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28983</th>\n",
       "      <td>2021-06-04 23:07:29</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004549001</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "      <td>-89</td>\n",
       "      <td>2021-06-04 23:06:08</td>\n",
       "      <td>-52</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>2021-06-04 23:07:00</td>\n",
       "      <td>Solna station</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.00824 59.36376)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:05:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28984</th>\n",
       "      <td>2021-06-04 23:07:29</td>\n",
       "      <td>14010513453884215</td>\n",
       "      <td>1</td>\n",
       "      <td>9022001004547002</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (17.99627 59.36137)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-04 23:08:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                timestamp            trip_id  rel           stop_id  \\\n",
       "28238 2021-06-04 23:05:31  14010513453884215    1  9022001004549001   \n",
       "28239 2021-06-04 23:05:31  14010513453884215    1  9022001004547002   \n",
       "28240 2021-06-04 23:05:31  14010513453884215    1  9022001004545002   \n",
       "28241 2021-06-04 23:05:31  14010513453884215    1  9022001004543002   \n",
       "28242 2021-06-04 23:05:31  14010513453884215    1  9022001004541002   \n",
       "28243 2021-06-04 23:05:31  14010513453884215    1  9022001004539002   \n",
       "28244 2021-06-04 23:05:31  14010513453884215    1  9022001004537002   \n",
       "28245 2021-06-04 23:05:31  14010513453884215    1  9022001004535002   \n",
       "28364 2021-06-04 23:05:31  14010513453884215    1  9022001004549001   \n",
       "28365 2021-06-04 23:05:31  14010513453884215    1  9022001004547002   \n",
       "28366 2021-06-04 23:05:31  14010513453884215    1  9022001004545002   \n",
       "28367 2021-06-04 23:05:31  14010513453884215    1  9022001004543002   \n",
       "28368 2021-06-04 23:05:31  14010513453884215    1  9022001004541002   \n",
       "28369 2021-06-04 23:05:31  14010513453884215    1  9022001004539002   \n",
       "28370 2021-06-04 23:05:31  14010513453884215    1  9022001004537002   \n",
       "28371 2021-06-04 23:05:31  14010513453884215    1  9022001004535002   \n",
       "28489 2021-06-04 23:06:08  14010513453884215    1  9022001004549001   \n",
       "28490 2021-06-04 23:06:08  14010513453884215    1  9022001004547002   \n",
       "28491 2021-06-04 23:06:08  14010513453884215    1  9022001004545002   \n",
       "28492 2021-06-04 23:06:08  14010513453884215    1  9022001004543002   \n",
       "28493 2021-06-04 23:06:08  14010513453884215    1  9022001004541002   \n",
       "28494 2021-06-04 23:06:08  14010513453884215    1  9022001004539002   \n",
       "28495 2021-06-04 23:06:08  14010513453884215    1  9022001004537002   \n",
       "28496 2021-06-04 23:06:08  14010513453884215    1  9022001004535002   \n",
       "28614 2021-06-04 23:06:25  14010513453884215    1  9022001004549001   \n",
       "28615 2021-06-04 23:06:25  14010513453884215    1  9022001004547002   \n",
       "28616 2021-06-04 23:06:25  14010513453884215    1  9022001004545002   \n",
       "28617 2021-06-04 23:06:25  14010513453884215    1  9022001004543002   \n",
       "28618 2021-06-04 23:06:25  14010513453884215    1  9022001004541002   \n",
       "28619 2021-06-04 23:06:25  14010513453884215    1  9022001004539002   \n",
       "28620 2021-06-04 23:06:25  14010513453884215    1  9022001004537002   \n",
       "28621 2021-06-04 23:06:25  14010513453884215    1  9022001004535002   \n",
       "28738 2021-06-04 23:06:45  14010513453884215    1  9022001004549001   \n",
       "28739 2021-06-04 23:06:45  14010513453884215    1  9022001004547002   \n",
       "28740 2021-06-04 23:06:45  14010513453884215    1  9022001004545002   \n",
       "28741 2021-06-04 23:06:45  14010513453884215    1  9022001004543002   \n",
       "28742 2021-06-04 23:06:45  14010513453884215    1  9022001004541002   \n",
       "28743 2021-06-04 23:06:45  14010513453884215    1  9022001004539002   \n",
       "28744 2021-06-04 23:06:45  14010513453884215    1  9022001004537002   \n",
       "28745 2021-06-04 23:06:45  14010513453884215    1  9022001004535002   \n",
       "28862 2021-06-04 23:07:00  14010513453884215    1  9022001004549001   \n",
       "28863 2021-06-04 23:07:00  14010513453884215    1  9022001004547002   \n",
       "28864 2021-06-04 23:07:00  14010513453884215    1  9022001004545002   \n",
       "28865 2021-06-04 23:07:00  14010513453884215    1  9022001004543002   \n",
       "28866 2021-06-04 23:07:00  14010513453884215    1  9022001004541002   \n",
       "28867 2021-06-04 23:07:00  14010513453884215    1  9022001004539002   \n",
       "28868 2021-06-04 23:07:00  14010513453884215    1  9022001004537002   \n",
       "28869 2021-06-04 23:07:00  14010513453884215    1  9022001004535002   \n",
       "28983 2021-06-04 23:07:29  14010513453884215    1  9022001004549001   \n",
       "28984 2021-06-04 23:07:29  14010513453884215    1  9022001004547002   \n",
       "\n",
       "               arrival_ts  arrival_delay        departure_ts  departure_delay  \\\n",
       "28238 2021-06-04 23:05:31            -89 2021-06-04 23:07:00                0   \n",
       "28239 2021-06-04 23:08:00              0 2021-06-04 23:08:00                0   \n",
       "28240 2021-06-04 23:09:00              0 2021-06-04 23:09:00                0   \n",
       "28241 2021-06-04 23:10:00              0 2021-06-04 23:10:00                0   \n",
       "28242 2021-06-04 23:12:00              0 2021-06-04 23:12:00                0   \n",
       "28243 2021-06-04 23:14:00              0 2021-06-04 23:14:00                0   \n",
       "28244 2021-06-04 23:16:00              0 2021-06-04 23:16:00                0   \n",
       "28245 2021-06-04 23:18:00              0 2021-06-04 23:18:00                0   \n",
       "28364 2021-06-04 23:05:31            -89 2021-06-04 23:07:00                0   \n",
       "28365 2021-06-04 23:08:00              0 2021-06-04 23:08:00                0   \n",
       "28366 2021-06-04 23:09:00              0 2021-06-04 23:09:00                0   \n",
       "28367 2021-06-04 23:10:00              0 2021-06-04 23:10:00                0   \n",
       "28368 2021-06-04 23:12:00              0 2021-06-04 23:12:00                0   \n",
       "28369 2021-06-04 23:14:00              0 2021-06-04 23:14:00                0   \n",
       "28370 2021-06-04 23:16:00              0 2021-06-04 23:16:00                0   \n",
       "28371 2021-06-04 23:18:00              0 2021-06-04 23:18:00                0   \n",
       "28489 2021-06-04 23:05:31            -89 2021-06-04 23:06:08              -52   \n",
       "28490 2021-06-04 23:08:00              0 2021-06-04 23:08:00                0   \n",
       "28491 2021-06-04 23:09:00              0 2021-06-04 23:09:00                0   \n",
       "28492 2021-06-04 23:10:00              0 2021-06-04 23:10:00                0   \n",
       "28493 2021-06-04 23:12:00              0 2021-06-04 23:12:00                0   \n",
       "28494 2021-06-04 23:14:00              0 2021-06-04 23:14:00                0   \n",
       "28495 2021-06-04 23:16:00              0 2021-06-04 23:16:00                0   \n",
       "28496 2021-06-04 23:18:00              0 2021-06-04 23:18:00                0   \n",
       "28614 2021-06-04 23:05:31            -89 2021-06-04 23:06:08              -52   \n",
       "28615 2021-06-04 23:08:00              0 2021-06-04 23:08:00                0   \n",
       "28616 2021-06-04 23:09:00              0 2021-06-04 23:09:00                0   \n",
       "28617 2021-06-04 23:10:00              0 2021-06-04 23:10:00                0   \n",
       "28618 2021-06-04 23:12:00              0 2021-06-04 23:12:00                0   \n",
       "28619 2021-06-04 23:14:00              0 2021-06-04 23:14:00                0   \n",
       "28620 2021-06-04 23:16:00              0 2021-06-04 23:16:00                0   \n",
       "28621 2021-06-04 23:18:00              0 2021-06-04 23:18:00                0   \n",
       "28738 2021-06-04 23:05:31            -89 2021-06-04 23:06:08              -52   \n",
       "28739 2021-06-04 23:08:00              0 2021-06-04 23:08:00                0   \n",
       "28740 2021-06-04 23:09:00              0 2021-06-04 23:09:00                0   \n",
       "28741 2021-06-04 23:10:00              0 2021-06-04 23:10:00                0   \n",
       "28742 2021-06-04 23:12:00              0 2021-06-04 23:12:00                0   \n",
       "28743 2021-06-04 23:14:00              0 2021-06-04 23:14:00                0   \n",
       "28744 2021-06-04 23:16:00              0 2021-06-04 23:16:00                0   \n",
       "28745 2021-06-04 23:18:00              0 2021-06-04 23:18:00                0   \n",
       "28862 2021-06-04 23:05:31            -89 2021-06-04 23:06:08              -52   \n",
       "28863 2021-06-04 23:08:00              0 2021-06-04 23:08:00                0   \n",
       "28864 2021-06-04 23:09:00              0 2021-06-04 23:09:00                0   \n",
       "28865 2021-06-04 23:10:00              0 2021-06-04 23:10:00                0   \n",
       "28866 2021-06-04 23:12:00              0 2021-06-04 23:12:00                0   \n",
       "28867 2021-06-04 23:14:00              0 2021-06-04 23:14:00                0   \n",
       "28868 2021-06-04 23:16:00              0 2021-06-04 23:16:00                0   \n",
       "28869 2021-06-04 23:18:00              0 2021-06-04 23:18:00                0   \n",
       "28983 2021-06-04 23:05:31            -89 2021-06-04 23:06:08              -52   \n",
       "28984 2021-06-04 23:08:00              0 2021-06-04 23:08:00                0   \n",
       "\n",
       "         arrival_ts_sched  departure_ts_sched            stop_name  direction  \\\n",
       "28238 2021-06-04 23:07:00 2021-06-04 23:07:00        Solna station        1.0   \n",
       "28239 2021-06-04 23:08:00 2021-06-04 23:08:00        Solna centrum        2.0   \n",
       "28240 2021-06-04 23:09:00 2021-06-04 23:09:00  Solna Business Park        2.0   \n",
       "28241 2021-06-04 23:10:00 2021-06-04 23:10:00  Sundbybergs centrum        2.0   \n",
       "28242 2021-06-04 23:12:00 2021-06-04 23:12:00          Bällsta bro        2.0   \n",
       "28243 2021-06-04 23:14:00 2021-06-04 23:14:00       Karlsbodavägen        2.0   \n",
       "28244 2021-06-04 23:16:00 2021-06-04 23:16:00       Norra Ulvsunda        2.0   \n",
       "28245 2021-06-04 23:18:00 2021-06-04 23:18:00         Johannesfred        2.0   \n",
       "28364 2021-06-04 23:07:00 2021-06-04 23:07:00        Solna station        1.0   \n",
       "28365 2021-06-04 23:08:00 2021-06-04 23:08:00        Solna centrum        2.0   \n",
       "28366 2021-06-04 23:09:00 2021-06-04 23:09:00  Solna Business Park        2.0   \n",
       "28367 2021-06-04 23:10:00 2021-06-04 23:10:00  Sundbybergs centrum        2.0   \n",
       "28368 2021-06-04 23:12:00 2021-06-04 23:12:00          Bällsta bro        2.0   \n",
       "28369 2021-06-04 23:14:00 2021-06-04 23:14:00       Karlsbodavägen        2.0   \n",
       "28370 2021-06-04 23:16:00 2021-06-04 23:16:00       Norra Ulvsunda        2.0   \n",
       "28371 2021-06-04 23:18:00 2021-06-04 23:18:00         Johannesfred        2.0   \n",
       "28489 2021-06-04 23:07:00 2021-06-04 23:07:00        Solna station        1.0   \n",
       "28490 2021-06-04 23:08:00 2021-06-04 23:08:00        Solna centrum        2.0   \n",
       "28491 2021-06-04 23:09:00 2021-06-04 23:09:00  Solna Business Park        2.0   \n",
       "28492 2021-06-04 23:10:00 2021-06-04 23:10:00  Sundbybergs centrum        2.0   \n",
       "28493 2021-06-04 23:12:00 2021-06-04 23:12:00          Bällsta bro        2.0   \n",
       "28494 2021-06-04 23:14:00 2021-06-04 23:14:00       Karlsbodavägen        2.0   \n",
       "28495 2021-06-04 23:16:00 2021-06-04 23:16:00       Norra Ulvsunda        2.0   \n",
       "28496 2021-06-04 23:18:00 2021-06-04 23:18:00         Johannesfred        2.0   \n",
       "28614 2021-06-04 23:07:00 2021-06-04 23:07:00        Solna station        1.0   \n",
       "28615 2021-06-04 23:08:00 2021-06-04 23:08:00        Solna centrum        2.0   \n",
       "28616 2021-06-04 23:09:00 2021-06-04 23:09:00  Solna Business Park        2.0   \n",
       "28617 2021-06-04 23:10:00 2021-06-04 23:10:00  Sundbybergs centrum        2.0   \n",
       "28618 2021-06-04 23:12:00 2021-06-04 23:12:00          Bällsta bro        2.0   \n",
       "28619 2021-06-04 23:14:00 2021-06-04 23:14:00       Karlsbodavägen        2.0   \n",
       "28620 2021-06-04 23:16:00 2021-06-04 23:16:00       Norra Ulvsunda        2.0   \n",
       "28621 2021-06-04 23:18:00 2021-06-04 23:18:00         Johannesfred        2.0   \n",
       "28738 2021-06-04 23:07:00 2021-06-04 23:07:00        Solna station        1.0   \n",
       "28739 2021-06-04 23:08:00 2021-06-04 23:08:00        Solna centrum        2.0   \n",
       "28740 2021-06-04 23:09:00 2021-06-04 23:09:00  Solna Business Park        2.0   \n",
       "28741 2021-06-04 23:10:00 2021-06-04 23:10:00  Sundbybergs centrum        2.0   \n",
       "28742 2021-06-04 23:12:00 2021-06-04 23:12:00          Bällsta bro        2.0   \n",
       "28743 2021-06-04 23:14:00 2021-06-04 23:14:00       Karlsbodavägen        2.0   \n",
       "28744 2021-06-04 23:16:00 2021-06-04 23:16:00       Norra Ulvsunda        2.0   \n",
       "28745 2021-06-04 23:18:00 2021-06-04 23:18:00         Johannesfred        2.0   \n",
       "28862 2021-06-04 23:07:00 2021-06-04 23:07:00        Solna station        1.0   \n",
       "28863 2021-06-04 23:08:00 2021-06-04 23:08:00        Solna centrum        2.0   \n",
       "28864 2021-06-04 23:09:00 2021-06-04 23:09:00  Solna Business Park        2.0   \n",
       "28865 2021-06-04 23:10:00 2021-06-04 23:10:00  Sundbybergs centrum        2.0   \n",
       "28866 2021-06-04 23:12:00 2021-06-04 23:12:00          Bällsta bro        2.0   \n",
       "28867 2021-06-04 23:14:00 2021-06-04 23:14:00       Karlsbodavägen        2.0   \n",
       "28868 2021-06-04 23:16:00 2021-06-04 23:16:00       Norra Ulvsunda        2.0   \n",
       "28869 2021-06-04 23:18:00 2021-06-04 23:18:00         Johannesfred        2.0   \n",
       "28983 2021-06-04 23:07:00 2021-06-04 23:07:00        Solna station        1.0   \n",
       "28984 2021-06-04 23:08:00 2021-06-04 23:08:00        Solna centrum        2.0   \n",
       "\n",
       "                        geometry  route_id  direction_id route_desc  \\\n",
       "28238  POINT (18.00824 59.36376)       NaN           NaN        NaN   \n",
       "28239  POINT (17.99627 59.36137)       NaN           NaN        NaN   \n",
       "28240  POINT (17.97994 59.35925)       NaN           NaN        NaN   \n",
       "28241  POINT (17.97036 59.36081)       NaN           NaN        NaN   \n",
       "28242  POINT (17.96289 59.36069)       NaN           NaN        NaN   \n",
       "28243  POINT (17.96128 59.35598)       NaN           NaN        NaN   \n",
       "28244  POINT (17.96240 59.34980)       NaN           NaN        NaN   \n",
       "28245  POINT (17.96967 59.34281)       NaN           NaN        NaN   \n",
       "28364  POINT (18.00824 59.36376)       NaN           NaN        NaN   \n",
       "28365  POINT (17.99627 59.36137)       NaN           NaN        NaN   \n",
       "28366  POINT (17.97994 59.35925)       NaN           NaN        NaN   \n",
       "28367  POINT (17.97036 59.36081)       NaN           NaN        NaN   \n",
       "28368  POINT (17.96289 59.36069)       NaN           NaN        NaN   \n",
       "28369  POINT (17.96128 59.35598)       NaN           NaN        NaN   \n",
       "28370  POINT (17.96240 59.34980)       NaN           NaN        NaN   \n",
       "28371  POINT (17.96967 59.34281)       NaN           NaN        NaN   \n",
       "28489  POINT (18.00824 59.36376)       NaN           NaN        NaN   \n",
       "28490  POINT (17.99627 59.36137)       NaN           NaN        NaN   \n",
       "28491  POINT (17.97994 59.35925)       NaN           NaN        NaN   \n",
       "28492  POINT (17.97036 59.36081)       NaN           NaN        NaN   \n",
       "28493  POINT (17.96289 59.36069)       NaN           NaN        NaN   \n",
       "28494  POINT (17.96128 59.35598)       NaN           NaN        NaN   \n",
       "28495  POINT (17.96240 59.34980)       NaN           NaN        NaN   \n",
       "28496  POINT (17.96967 59.34281)       NaN           NaN        NaN   \n",
       "28614  POINT (18.00824 59.36376)       NaN           NaN        NaN   \n",
       "28615  POINT (17.99627 59.36137)       NaN           NaN        NaN   \n",
       "28616  POINT (17.97994 59.35925)       NaN           NaN        NaN   \n",
       "28617  POINT (17.97036 59.36081)       NaN           NaN        NaN   \n",
       "28618  POINT (17.96289 59.36069)       NaN           NaN        NaN   \n",
       "28619  POINT (17.96128 59.35598)       NaN           NaN        NaN   \n",
       "28620  POINT (17.96240 59.34980)       NaN           NaN        NaN   \n",
       "28621  POINT (17.96967 59.34281)       NaN           NaN        NaN   \n",
       "28738  POINT (18.00824 59.36376)       NaN           NaN        NaN   \n",
       "28739  POINT (17.99627 59.36137)       NaN           NaN        NaN   \n",
       "28740  POINT (17.97994 59.35925)       NaN           NaN        NaN   \n",
       "28741  POINT (17.97036 59.36081)       NaN           NaN        NaN   \n",
       "28742  POINT (17.96289 59.36069)       NaN           NaN        NaN   \n",
       "28743  POINT (17.96128 59.35598)       NaN           NaN        NaN   \n",
       "28744  POINT (17.96240 59.34980)       NaN           NaN        NaN   \n",
       "28745  POINT (17.96967 59.34281)       NaN           NaN        NaN   \n",
       "28862  POINT (18.00824 59.36376)       NaN           NaN        NaN   \n",
       "28863  POINT (17.99627 59.36137)       NaN           NaN        NaN   \n",
       "28864  POINT (17.97994 59.35925)       NaN           NaN        NaN   \n",
       "28865  POINT (17.97036 59.36081)       NaN           NaN        NaN   \n",
       "28866  POINT (17.96289 59.36069)       NaN           NaN        NaN   \n",
       "28867  POINT (17.96128 59.35598)       NaN           NaN        NaN   \n",
       "28868  POINT (17.96240 59.34980)       NaN           NaN        NaN   \n",
       "28869  POINT (17.96967 59.34281)       NaN           NaN        NaN   \n",
       "28983  POINT (18.00824 59.36376)       NaN           NaN        NaN   \n",
       "28984  POINT (17.99627 59.36137)       NaN           NaN        NaN   \n",
       "\n",
       "                trip_date  \n",
       "28238 2021-06-04 23:05:31  \n",
       "28239 2021-06-04 23:08:00  \n",
       "28240 2021-06-04 23:09:00  \n",
       "28241 2021-06-04 23:10:00  \n",
       "28242 2021-06-04 23:12:00  \n",
       "28243 2021-06-04 23:14:00  \n",
       "28244 2021-06-04 23:16:00  \n",
       "28245 2021-06-04 23:18:00  \n",
       "28364 2021-06-04 23:05:31  \n",
       "28365 2021-06-04 23:08:00  \n",
       "28366 2021-06-04 23:09:00  \n",
       "28367 2021-06-04 23:10:00  \n",
       "28368 2021-06-04 23:12:00  \n",
       "28369 2021-06-04 23:14:00  \n",
       "28370 2021-06-04 23:16:00  \n",
       "28371 2021-06-04 23:18:00  \n",
       "28489 2021-06-04 23:05:31  \n",
       "28490 2021-06-04 23:08:00  \n",
       "28491 2021-06-04 23:09:00  \n",
       "28492 2021-06-04 23:10:00  \n",
       "28493 2021-06-04 23:12:00  \n",
       "28494 2021-06-04 23:14:00  \n",
       "28495 2021-06-04 23:16:00  \n",
       "28496 2021-06-04 23:18:00  \n",
       "28614 2021-06-04 23:05:31  \n",
       "28615 2021-06-04 23:08:00  \n",
       "28616 2021-06-04 23:09:00  \n",
       "28617 2021-06-04 23:10:00  \n",
       "28618 2021-06-04 23:12:00  \n",
       "28619 2021-06-04 23:14:00  \n",
       "28620 2021-06-04 23:16:00  \n",
       "28621 2021-06-04 23:18:00  \n",
       "28738 2021-06-04 23:05:31  \n",
       "28739 2021-06-04 23:08:00  \n",
       "28740 2021-06-04 23:09:00  \n",
       "28741 2021-06-04 23:10:00  \n",
       "28742 2021-06-04 23:12:00  \n",
       "28743 2021-06-04 23:14:00  \n",
       "28744 2021-06-04 23:16:00  \n",
       "28745 2021-06-04 23:18:00  \n",
       "28862 2021-06-04 23:05:31  \n",
       "28863 2021-06-04 23:08:00  \n",
       "28864 2021-06-04 23:09:00  \n",
       "28865 2021-06-04 23:10:00  \n",
       "28866 2021-06-04 23:12:00  \n",
       "28867 2021-06-04 23:14:00  \n",
       "28868 2021-06-04 23:16:00  \n",
       "28869 2021-06-04 23:18:00  \n",
       "28983 2021-06-04 23:05:31  \n",
       "28984 2021-06-04 23:08:00  "
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tu_df_merged[tu_df_merged.direction_id.isna()].head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f7db51f1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T15:24:06.403865Z",
     "start_time": "2022-05-19T15:24:05.280355Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Solna station', 'Solna centrum', 'Solna Business Park', 'Sundbybergs centrum', 'Bällsta bro', 'Karlsbodavägen', 'Norra Ulvsunda', 'Johannesfred', 'Alvik', 'Alviks strand', 'Stora Essingen', 'Gröndal', 'Trekanten', 'Liljeholmen', 'Årstadal', 'Årstaberg', 'Årstafältet', 'Valla torg', 'Linde', 'Globen', 'Gullmarsplan', 'Mårtensdal', 'Luma', 'Sickla kaj', 'Sickla udde', 'Sickla']\n"
     ]
    }
   ],
   "source": [
    "# Apply categorical sorting to Stop Name from North to South\n",
    "sort_ns = tu_df_merged[tu_df_merged.trip_id=='14010000580361393']\n",
    "sort_ns = sort_ns.groupby('stop_id').apply(lambda x: x.loc[x.timestamp.idxmax()])\n",
    "sort_ns = sort_ns.sort_values('arrival_ts')\n",
    "print(sort_ns.stop_name.to_list())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "2ae9f624",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T19:19:02.672056Z",
     "start_time": "2022-05-19T19:18:26.277183Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>trip_id</th>\n",
       "      <th>rel</th>\n",
       "      <th>stop_id</th>\n",
       "      <th>arrival_ts</th>\n",
       "      <th>arrival_delay</th>\n",
       "      <th>departure_ts</th>\n",
       "      <th>departure_delay</th>\n",
       "      <th>arrival_ts_sched</th>\n",
       "      <th>departure_ts_sched</th>\n",
       "      <th>stop_name</th>\n",
       "      <th>direction</th>\n",
       "      <th>geometry</th>\n",
       "      <th>route_id</th>\n",
       "      <th>direction_id</th>\n",
       "      <th>route_desc</th>\n",
       "      <th>trip_date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trip_id</th>\n",
       "      <th>stop_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14010000586388334</th>\n",
       "      <th>9022001004501002</th>\n",
       "      <td>2021-06-17 16:13:31</td>\n",
       "      <td>14010000586388334</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004501002</td>\n",
       "      <td>2021-06-17 16:03:11</td>\n",
       "      <td>-49</td>\n",
       "      <td>2021-06-17 16:04:25</td>\n",
       "      <td>25</td>\n",
       "      <td>2021-06-17 16:04:00</td>\n",
       "      <td>2021-06-17 16:04:00</td>\n",
       "      <td>Gullmarsplan</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (18.080257 59.299565)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 16:03:11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14010000586210863</th>\n",
       "      <th>9022001004515002</th>\n",
       "      <td>2021-06-28 18:05:29</td>\n",
       "      <td>14010000586210863</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004515002</td>\n",
       "      <td>2021-06-28 17:54:31</td>\n",
       "      <td>31</td>\n",
       "      <td>2021-06-28 17:55:55</td>\n",
       "      <td>115</td>\n",
       "      <td>2021-06-28 17:54:00</td>\n",
       "      <td>2021-06-28 17:54:00</td>\n",
       "      <td>Liljeholmen</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (18.024826 59.310596)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-28 17:54:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14010000582148966</th>\n",
       "      <th>9022001004563001</th>\n",
       "      <td>2021-06-13 19:37:44</td>\n",
       "      <td>14010000582148966</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004563001</td>\n",
       "      <td>2021-06-13 19:40:43</td>\n",
       "      <td>73</td>\n",
       "      <td>2021-06-13 19:40:43</td>\n",
       "      <td>73</td>\n",
       "      <td>2021-06-13 19:39:30</td>\n",
       "      <td>2021-06-13 19:39:30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-06-13 19:40:43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             timestamp            trip_id  \\\n",
       "trip_id           stop_id                                                   \n",
       "14010000586388334 9022001004501002 2021-06-17 16:13:31  14010000586388334   \n",
       "14010000586210863 9022001004515002 2021-06-28 18:05:29  14010000586210863   \n",
       "14010000582148966 9022001004563001 2021-06-13 19:37:44  14010000582148966   \n",
       "\n",
       "                                    rel           stop_id          arrival_ts  \\\n",
       "trip_id           stop_id                                                       \n",
       "14010000586388334 9022001004501002    0  9022001004501002 2021-06-17 16:03:11   \n",
       "14010000586210863 9022001004515002    0  9022001004515002 2021-06-28 17:54:31   \n",
       "14010000582148966 9022001004563001    0  9022001004563001 2021-06-13 19:40:43   \n",
       "\n",
       "                                    arrival_delay        departure_ts  \\\n",
       "trip_id           stop_id                                               \n",
       "14010000586388334 9022001004501002            -49 2021-06-17 16:04:25   \n",
       "14010000586210863 9022001004515002             31 2021-06-28 17:55:55   \n",
       "14010000582148966 9022001004563001             73 2021-06-13 19:40:43   \n",
       "\n",
       "                                    departure_delay    arrival_ts_sched  \\\n",
       "trip_id           stop_id                                                 \n",
       "14010000586388334 9022001004501002               25 2021-06-17 16:04:00   \n",
       "14010000586210863 9022001004515002              115 2021-06-28 17:54:00   \n",
       "14010000582148966 9022001004563001               73 2021-06-13 19:39:30   \n",
       "\n",
       "                                    departure_ts_sched     stop_name  \\\n",
       "trip_id           stop_id                                              \n",
       "14010000586388334 9022001004501002 2021-06-17 16:04:00  Gullmarsplan   \n",
       "14010000586210863 9022001004515002 2021-06-28 17:54:00   Liljeholmen   \n",
       "14010000582148966 9022001004563001 2021-06-13 19:39:30           NaN   \n",
       "\n",
       "                                    direction                     geometry  \\\n",
       "trip_id           stop_id                                                    \n",
       "14010000586388334 9022001004501002        2.0  POINT (18.080257 59.299565)   \n",
       "14010000586210863 9022001004515002        2.0  POINT (18.024826 59.310596)   \n",
       "14010000582148966 9022001004563001        NaN                         None   \n",
       "\n",
       "                                        route_id  direction_id route_desc  \\\n",
       "trip_id           stop_id                                                   \n",
       "14010000586388334 9022001004501002  9.011001e+15           0.0  Tvärbanan   \n",
       "14010000586210863 9022001004515002  9.011001e+15           0.0  Tvärbanan   \n",
       "14010000582148966 9022001004563001           NaN           NaN        NaN   \n",
       "\n",
       "                                             trip_date  \n",
       "trip_id           stop_id                               \n",
       "14010000586388334 9022001004501002 2021-06-17 16:03:11  \n",
       "14010000586210863 9022001004515002 2021-06-28 17:54:31  \n",
       "14010000582148966 9022001004563001 2021-06-13 19:40:43  "
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group by trip and stop and then sort by timestamp to select latest update\n",
    "groupall = tu_df_merged.groupby(['trip_id', 'stop_id']).apply(\n",
    "    lambda x: x.loc[x.timestamp.idxmax()] if len(x) > 0 else None)\n",
    "\n",
    "# Show examples\n",
    "groupall.sample(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85cc5bd8",
   "metadata": {},
   "source": [
    "# Delay\n",
    "\n",
    "From: https://gtfs.org/realtime/reference/#message-stoptimeupdate\n",
    "\n",
    "* Positive is a delay\n",
    "* Negative is ahead of schedule\n",
    "\n",
    "Direction_id: \n",
    "* 0.0 Solna-Sickla (south-facing)\n",
    "* 1.0 Sickla-Solna (north-facing)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d987dad0",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "000614b4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T15:24:07.458742Z",
     "start_time": "2022-05-19T15:24:06.407342Z"
    },
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>trip_id</th>\n",
       "      <th>rel</th>\n",
       "      <th>stop_id</th>\n",
       "      <th>arrival_ts</th>\n",
       "      <th>arrival_delay</th>\n",
       "      <th>departure_ts</th>\n",
       "      <th>departure_delay</th>\n",
       "      <th>arrival_ts_sched</th>\n",
       "      <th>departure_ts_sched</th>\n",
       "      <th>stop_name</th>\n",
       "      <th>direction</th>\n",
       "      <th>geometry</th>\n",
       "      <th>route_id</th>\n",
       "      <th>direction_id</th>\n",
       "      <th>route_desc</th>\n",
       "      <th>trip_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2021-06-17 10:58:53</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001007611002</td>\n",
       "      <td>2021-06-17 10:46:01</td>\n",
       "      <td>-89</td>\n",
       "      <td>2021-06-17 10:47:20</td>\n",
       "      <td>-10</td>\n",
       "      <td>2021-06-17 10:47:30</td>\n",
       "      <td>2021-06-17 10:47:30</td>\n",
       "      <td>Sickla</td>\n",
       "      <td>2.0</td>\n",
       "      <td>POINT (18.121004 59.306828)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 10:46:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2021-06-17 10:58:53</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004533001</td>\n",
       "      <td>2021-06-17 10:48:51</td>\n",
       "      <td>-39</td>\n",
       "      <td>2021-06-17 10:49:32</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-06-17 10:49:30</td>\n",
       "      <td>2021-06-17 10:49:30</td>\n",
       "      <td>Sickla udde</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.108313 59.306292)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 10:48:51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2021-06-17 11:00:23</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004531001</td>\n",
       "      <td>2021-06-17 10:50:33</td>\n",
       "      <td>-27</td>\n",
       "      <td>2021-06-17 10:51:32</td>\n",
       "      <td>32</td>\n",
       "      <td>2021-06-17 10:51:00</td>\n",
       "      <td>2021-06-17 10:51:00</td>\n",
       "      <td>Sickla kaj</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.103485 59.302659)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 10:50:33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2021-06-17 11:02:24</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004529001</td>\n",
       "      <td>2021-06-17 10:52:52</td>\n",
       "      <td>-8</td>\n",
       "      <td>2021-06-17 10:52:52</td>\n",
       "      <td>-8</td>\n",
       "      <td>2021-06-17 10:53:00</td>\n",
       "      <td>2021-06-17 10:53:00</td>\n",
       "      <td>Luma</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.095406 59.304202)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 10:52:52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2021-06-17 11:04:51</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004527001</td>\n",
       "      <td>2021-06-17 10:54:24</td>\n",
       "      <td>-36</td>\n",
       "      <td>2021-06-17 10:54:24</td>\n",
       "      <td>-36</td>\n",
       "      <td>2021-06-17 10:55:00</td>\n",
       "      <td>2021-06-17 10:55:00</td>\n",
       "      <td>Mårtensdal</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.08764 59.302579)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 10:54:24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-06-17 11:08:03</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004501001</td>\n",
       "      <td>2021-06-17 10:55:59</td>\n",
       "      <td>-151</td>\n",
       "      <td>2021-06-17 10:57:57</td>\n",
       "      <td>-33</td>\n",
       "      <td>2021-06-17 10:58:30</td>\n",
       "      <td>2021-06-17 10:58:30</td>\n",
       "      <td>Gullmarsplan</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.080371 59.299419)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 10:55:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-06-17 11:09:05</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004503001</td>\n",
       "      <td>2021-06-17 10:58:53</td>\n",
       "      <td>-37</td>\n",
       "      <td>2021-06-17 10:59:30</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-06-17 10:59:30</td>\n",
       "      <td>2021-06-17 10:59:30</td>\n",
       "      <td>Globen</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.076131 59.294033)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 10:58:53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-06-17 11:10:39</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004505001</td>\n",
       "      <td>2021-06-17 11:00:23</td>\n",
       "      <td>-52</td>\n",
       "      <td>2021-06-17 11:01:17</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-06-17 11:01:15</td>\n",
       "      <td>2021-06-17 11:01:15</td>\n",
       "      <td>Linde</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.063864 59.293295)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:00:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-06-17 11:12:41</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004507001</td>\n",
       "      <td>2021-06-17 11:02:24</td>\n",
       "      <td>-51</td>\n",
       "      <td>2021-06-17 11:03:04</td>\n",
       "      <td>-11</td>\n",
       "      <td>2021-06-17 11:03:15</td>\n",
       "      <td>2021-06-17 11:03:15</td>\n",
       "      <td>Valla torg</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.047991 59.295104)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:02:24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-06-17 11:14:24</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004509001</td>\n",
       "      <td>2021-06-17 11:03:39</td>\n",
       "      <td>-66</td>\n",
       "      <td>2021-06-17 11:04:14</td>\n",
       "      <td>-31</td>\n",
       "      <td>2021-06-17 11:04:45</td>\n",
       "      <td>2021-06-17 11:04:45</td>\n",
       "      <td>Årstafältet</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.039206 59.296342)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:03:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2021-06-17 11:16:12</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004511001</td>\n",
       "      <td>2021-06-17 11:05:24</td>\n",
       "      <td>-66</td>\n",
       "      <td>2021-06-17 11:06:14</td>\n",
       "      <td>-16</td>\n",
       "      <td>2021-06-17 11:06:30</td>\n",
       "      <td>2021-06-17 11:06:30</td>\n",
       "      <td>Årstaberg</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.029421 59.299473)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:05:24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2021-06-17 11:17:05</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004513001</td>\n",
       "      <td>2021-06-17 11:07:12</td>\n",
       "      <td>-48</td>\n",
       "      <td>2021-06-17 11:07:50</td>\n",
       "      <td>-10</td>\n",
       "      <td>2021-06-17 11:08:00</td>\n",
       "      <td>2021-06-17 11:08:00</td>\n",
       "      <td>Årstadal</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.025454 59.305943)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:07:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2021-06-17 11:20:11</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004515001</td>\n",
       "      <td>2021-06-17 11:09:05</td>\n",
       "      <td>-85</td>\n",
       "      <td>2021-06-17 11:10:10</td>\n",
       "      <td>-20</td>\n",
       "      <td>2021-06-17 11:10:30</td>\n",
       "      <td>2021-06-17 11:10:30</td>\n",
       "      <td>Liljeholmen</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.024792 59.310615)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:09:05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2021-06-17 11:21:36</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004517001</td>\n",
       "      <td>2021-06-17 11:11:30</td>\n",
       "      <td>-30</td>\n",
       "      <td>2021-06-17 11:12:06</td>\n",
       "      <td>6</td>\n",
       "      <td>2021-06-17 11:12:00</td>\n",
       "      <td>2021-06-17 11:12:00</td>\n",
       "      <td>Trekanten</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.017806 59.3142)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:11:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2021-06-17 11:23:45</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004519001</td>\n",
       "      <td>2021-06-17 11:12:54</td>\n",
       "      <td>-66</td>\n",
       "      <td>2021-06-17 11:13:43</td>\n",
       "      <td>-17</td>\n",
       "      <td>2021-06-17 11:14:00</td>\n",
       "      <td>2021-06-17 11:14:00</td>\n",
       "      <td>Gröndal</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.011484 59.315994)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:12:54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2021-06-17 11:25:59</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004521001</td>\n",
       "      <td>2021-06-17 11:16:11</td>\n",
       "      <td>-49</td>\n",
       "      <td>2021-06-17 11:16:46</td>\n",
       "      <td>-14</td>\n",
       "      <td>2021-06-17 11:17:00</td>\n",
       "      <td>2021-06-17 11:17:00</td>\n",
       "      <td>Stora Essingen</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.992478 59.324882)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:16:11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2021-06-17 11:28:31</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004523001</td>\n",
       "      <td>2021-06-17 11:18:00</td>\n",
       "      <td>-60</td>\n",
       "      <td>2021-06-17 11:18:41</td>\n",
       "      <td>-19</td>\n",
       "      <td>2021-06-17 11:19:00</td>\n",
       "      <td>2021-06-17 11:19:00</td>\n",
       "      <td>Alviks strand</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.981972 59.329009)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2021-06-17 11:29:44</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004525001</td>\n",
       "      <td>2021-06-17 11:20:10</td>\n",
       "      <td>-80</td>\n",
       "      <td>2021-06-17 11:21:27</td>\n",
       "      <td>-3</td>\n",
       "      <td>2021-06-17 11:21:30</td>\n",
       "      <td>2021-06-17 11:21:30</td>\n",
       "      <td>Alvik</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.980188 59.333383)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:20:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2021-06-17 11:33:57</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004535001</td>\n",
       "      <td>2021-06-17 11:23:45</td>\n",
       "      <td>-45</td>\n",
       "      <td>2021-06-17 11:24:20</td>\n",
       "      <td>-10</td>\n",
       "      <td>2021-06-17 11:24:30</td>\n",
       "      <td>2021-06-17 11:24:30</td>\n",
       "      <td>Johannesfred</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.969767 59.342742)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:23:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2021-06-17 11:35:56</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004537001</td>\n",
       "      <td>2021-06-17 11:25:59</td>\n",
       "      <td>29</td>\n",
       "      <td>2021-06-17 11:26:32</td>\n",
       "      <td>62</td>\n",
       "      <td>2021-06-17 11:25:30</td>\n",
       "      <td>2021-06-17 11:25:30</td>\n",
       "      <td>Norra Ulvsunda</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.962553 59.34979)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:25:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2021-06-17 11:37:25</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004539001</td>\n",
       "      <td>2021-06-17 11:27:45</td>\n",
       "      <td>-15</td>\n",
       "      <td>2021-06-17 11:28:21</td>\n",
       "      <td>21</td>\n",
       "      <td>2021-06-17 11:28:00</td>\n",
       "      <td>2021-06-17 11:28:00</td>\n",
       "      <td>Karlsbodavägen</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.961403 59.35598)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:27:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2021-06-17 11:39:18</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004541001</td>\n",
       "      <td>2021-06-17 11:29:44</td>\n",
       "      <td>-106</td>\n",
       "      <td>2021-06-17 11:31:29</td>\n",
       "      <td>-1</td>\n",
       "      <td>2021-06-17 11:31:30</td>\n",
       "      <td>2021-06-17 11:31:30</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.963044 59.360669)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:29:44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2021-06-17 11:39:18</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004543001</td>\n",
       "      <td>2021-06-17 11:32:48</td>\n",
       "      <td>-12</td>\n",
       "      <td>2021-06-17 11:33:26</td>\n",
       "      <td>26</td>\n",
       "      <td>2021-06-17 11:33:00</td>\n",
       "      <td>2021-06-17 11:33:00</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.970454 59.360869)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:32:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2021-06-17 11:39:18</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004545001</td>\n",
       "      <td>2021-06-17 11:34:56</td>\n",
       "      <td>-4</td>\n",
       "      <td>2021-06-17 11:35:30</td>\n",
       "      <td>30</td>\n",
       "      <td>2021-06-17 11:35:00</td>\n",
       "      <td>2021-06-17 11:35:00</td>\n",
       "      <td>Solna Business Park</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.979046 59.359693)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:34:56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2021-06-17 11:39:18</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004547001</td>\n",
       "      <td>2021-06-17 11:37:25</td>\n",
       "      <td>-5</td>\n",
       "      <td>2021-06-17 11:38:03</td>\n",
       "      <td>33</td>\n",
       "      <td>2021-06-17 11:37:30</td>\n",
       "      <td>2021-06-17 11:37:30</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (17.996282 59.361338)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:37:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2021-06-17 11:39:18</td>\n",
       "      <td>14010000586634258</td>\n",
       "      <td>0</td>\n",
       "      <td>9022001004549001</td>\n",
       "      <td>2021-06-17 11:39:18</td>\n",
       "      <td>-132</td>\n",
       "      <td>2021-06-17 11:39:18</td>\n",
       "      <td>-132</td>\n",
       "      <td>2021-06-17 11:41:30</td>\n",
       "      <td>2021-06-17 11:41:30</td>\n",
       "      <td>Solna station</td>\n",
       "      <td>1.0</td>\n",
       "      <td>POINT (18.008237 59.363759)</td>\n",
       "      <td>9.011001e+15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Tvärbanan</td>\n",
       "      <td>2021-06-17 11:39:18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             timestamp            trip_id  rel           stop_id  \\\n",
       "25 2021-06-17 10:58:53  14010000586634258    0  9022001007611002   \n",
       "16 2021-06-17 10:58:53  14010000586634258    0  9022001004533001   \n",
       "15 2021-06-17 11:00:23  14010000586634258    0  9022001004531001   \n",
       "14 2021-06-17 11:02:24  14010000586634258    0  9022001004529001   \n",
       "13 2021-06-17 11:04:51  14010000586634258    0  9022001004527001   \n",
       "0  2021-06-17 11:08:03  14010000586634258    0  9022001004501001   \n",
       "1  2021-06-17 11:09:05  14010000586634258    0  9022001004503001   \n",
       "2  2021-06-17 11:10:39  14010000586634258    0  9022001004505001   \n",
       "3  2021-06-17 11:12:41  14010000586634258    0  9022001004507001   \n",
       "4  2021-06-17 11:14:24  14010000586634258    0  9022001004509001   \n",
       "5  2021-06-17 11:16:12  14010000586634258    0  9022001004511001   \n",
       "6  2021-06-17 11:17:05  14010000586634258    0  9022001004513001   \n",
       "7  2021-06-17 11:20:11  14010000586634258    0  9022001004515001   \n",
       "8  2021-06-17 11:21:36  14010000586634258    0  9022001004517001   \n",
       "9  2021-06-17 11:23:45  14010000586634258    0  9022001004519001   \n",
       "10 2021-06-17 11:25:59  14010000586634258    0  9022001004521001   \n",
       "11 2021-06-17 11:28:31  14010000586634258    0  9022001004523001   \n",
       "12 2021-06-17 11:29:44  14010000586634258    0  9022001004525001   \n",
       "17 2021-06-17 11:33:57  14010000586634258    0  9022001004535001   \n",
       "18 2021-06-17 11:35:56  14010000586634258    0  9022001004537001   \n",
       "19 2021-06-17 11:37:25  14010000586634258    0  9022001004539001   \n",
       "20 2021-06-17 11:39:18  14010000586634258    0  9022001004541001   \n",
       "21 2021-06-17 11:39:18  14010000586634258    0  9022001004543001   \n",
       "22 2021-06-17 11:39:18  14010000586634258    0  9022001004545001   \n",
       "23 2021-06-17 11:39:18  14010000586634258    0  9022001004547001   \n",
       "24 2021-06-17 11:39:18  14010000586634258    0  9022001004549001   \n",
       "\n",
       "            arrival_ts  arrival_delay        departure_ts  departure_delay  \\\n",
       "25 2021-06-17 10:46:01            -89 2021-06-17 10:47:20              -10   \n",
       "16 2021-06-17 10:48:51            -39 2021-06-17 10:49:32                2   \n",
       "15 2021-06-17 10:50:33            -27 2021-06-17 10:51:32               32   \n",
       "14 2021-06-17 10:52:52             -8 2021-06-17 10:52:52               -8   \n",
       "13 2021-06-17 10:54:24            -36 2021-06-17 10:54:24              -36   \n",
       "0  2021-06-17 10:55:59           -151 2021-06-17 10:57:57              -33   \n",
       "1  2021-06-17 10:58:53            -37 2021-06-17 10:59:30                0   \n",
       "2  2021-06-17 11:00:23            -52 2021-06-17 11:01:17                2   \n",
       "3  2021-06-17 11:02:24            -51 2021-06-17 11:03:04              -11   \n",
       "4  2021-06-17 11:03:39            -66 2021-06-17 11:04:14              -31   \n",
       "5  2021-06-17 11:05:24            -66 2021-06-17 11:06:14              -16   \n",
       "6  2021-06-17 11:07:12            -48 2021-06-17 11:07:50              -10   \n",
       "7  2021-06-17 11:09:05            -85 2021-06-17 11:10:10              -20   \n",
       "8  2021-06-17 11:11:30            -30 2021-06-17 11:12:06                6   \n",
       "9  2021-06-17 11:12:54            -66 2021-06-17 11:13:43              -17   \n",
       "10 2021-06-17 11:16:11            -49 2021-06-17 11:16:46              -14   \n",
       "11 2021-06-17 11:18:00            -60 2021-06-17 11:18:41              -19   \n",
       "12 2021-06-17 11:20:10            -80 2021-06-17 11:21:27               -3   \n",
       "17 2021-06-17 11:23:45            -45 2021-06-17 11:24:20              -10   \n",
       "18 2021-06-17 11:25:59             29 2021-06-17 11:26:32               62   \n",
       "19 2021-06-17 11:27:45            -15 2021-06-17 11:28:21               21   \n",
       "20 2021-06-17 11:29:44           -106 2021-06-17 11:31:29               -1   \n",
       "21 2021-06-17 11:32:48            -12 2021-06-17 11:33:26               26   \n",
       "22 2021-06-17 11:34:56             -4 2021-06-17 11:35:30               30   \n",
       "23 2021-06-17 11:37:25             -5 2021-06-17 11:38:03               33   \n",
       "24 2021-06-17 11:39:18           -132 2021-06-17 11:39:18             -132   \n",
       "\n",
       "      arrival_ts_sched  departure_ts_sched            stop_name  direction  \\\n",
       "25 2021-06-17 10:47:30 2021-06-17 10:47:30               Sickla        2.0   \n",
       "16 2021-06-17 10:49:30 2021-06-17 10:49:30          Sickla udde        1.0   \n",
       "15 2021-06-17 10:51:00 2021-06-17 10:51:00           Sickla kaj        1.0   \n",
       "14 2021-06-17 10:53:00 2021-06-17 10:53:00                 Luma        1.0   \n",
       "13 2021-06-17 10:55:00 2021-06-17 10:55:00           Mårtensdal        1.0   \n",
       "0  2021-06-17 10:58:30 2021-06-17 10:58:30         Gullmarsplan        1.0   \n",
       "1  2021-06-17 10:59:30 2021-06-17 10:59:30               Globen        1.0   \n",
       "2  2021-06-17 11:01:15 2021-06-17 11:01:15                Linde        1.0   \n",
       "3  2021-06-17 11:03:15 2021-06-17 11:03:15           Valla torg        1.0   \n",
       "4  2021-06-17 11:04:45 2021-06-17 11:04:45          Årstafältet        1.0   \n",
       "5  2021-06-17 11:06:30 2021-06-17 11:06:30            Årstaberg        1.0   \n",
       "6  2021-06-17 11:08:00 2021-06-17 11:08:00             Årstadal        1.0   \n",
       "7  2021-06-17 11:10:30 2021-06-17 11:10:30          Liljeholmen        1.0   \n",
       "8  2021-06-17 11:12:00 2021-06-17 11:12:00            Trekanten        1.0   \n",
       "9  2021-06-17 11:14:00 2021-06-17 11:14:00              Gröndal        1.0   \n",
       "10 2021-06-17 11:17:00 2021-06-17 11:17:00       Stora Essingen        1.0   \n",
       "11 2021-06-17 11:19:00 2021-06-17 11:19:00        Alviks strand        1.0   \n",
       "12 2021-06-17 11:21:30 2021-06-17 11:21:30                Alvik        1.0   \n",
       "17 2021-06-17 11:24:30 2021-06-17 11:24:30         Johannesfred        1.0   \n",
       "18 2021-06-17 11:25:30 2021-06-17 11:25:30       Norra Ulvsunda        1.0   \n",
       "19 2021-06-17 11:28:00 2021-06-17 11:28:00       Karlsbodavägen        1.0   \n",
       "20 2021-06-17 11:31:30 2021-06-17 11:31:30          Bällsta bro        1.0   \n",
       "21 2021-06-17 11:33:00 2021-06-17 11:33:00  Sundbybergs centrum        1.0   \n",
       "22 2021-06-17 11:35:00 2021-06-17 11:35:00  Solna Business Park        1.0   \n",
       "23 2021-06-17 11:37:30 2021-06-17 11:37:30        Solna centrum        1.0   \n",
       "24 2021-06-17 11:41:30 2021-06-17 11:41:30        Solna station        1.0   \n",
       "\n",
       "                       geometry      route_id  direction_id route_desc  \\\n",
       "25  POINT (18.121004 59.306828)  9.011001e+15           1.0  Tvärbanan   \n",
       "16  POINT (18.108313 59.306292)  9.011001e+15           1.0  Tvärbanan   \n",
       "15  POINT (18.103485 59.302659)  9.011001e+15           1.0  Tvärbanan   \n",
       "14  POINT (18.095406 59.304202)  9.011001e+15           1.0  Tvärbanan   \n",
       "13   POINT (18.08764 59.302579)  9.011001e+15           1.0  Tvärbanan   \n",
       "0   POINT (18.080371 59.299419)  9.011001e+15           1.0  Tvärbanan   \n",
       "1   POINT (18.076131 59.294033)  9.011001e+15           1.0  Tvärbanan   \n",
       "2   POINT (18.063864 59.293295)  9.011001e+15           1.0  Tvärbanan   \n",
       "3   POINT (18.047991 59.295104)  9.011001e+15           1.0  Tvärbanan   \n",
       "4   POINT (18.039206 59.296342)  9.011001e+15           1.0  Tvärbanan   \n",
       "5   POINT (18.029421 59.299473)  9.011001e+15           1.0  Tvärbanan   \n",
       "6   POINT (18.025454 59.305943)  9.011001e+15           1.0  Tvärbanan   \n",
       "7   POINT (18.024792 59.310615)  9.011001e+15           1.0  Tvärbanan   \n",
       "8     POINT (18.017806 59.3142)  9.011001e+15           1.0  Tvärbanan   \n",
       "9   POINT (18.011484 59.315994)  9.011001e+15           1.0  Tvärbanan   \n",
       "10  POINT (17.992478 59.324882)  9.011001e+15           1.0  Tvärbanan   \n",
       "11  POINT (17.981972 59.329009)  9.011001e+15           1.0  Tvärbanan   \n",
       "12  POINT (17.980188 59.333383)  9.011001e+15           1.0  Tvärbanan   \n",
       "17  POINT (17.969767 59.342742)  9.011001e+15           1.0  Tvärbanan   \n",
       "18   POINT (17.962553 59.34979)  9.011001e+15           1.0  Tvärbanan   \n",
       "19   POINT (17.961403 59.35598)  9.011001e+15           1.0  Tvärbanan   \n",
       "20  POINT (17.963044 59.360669)  9.011001e+15           1.0  Tvärbanan   \n",
       "21  POINT (17.970454 59.360869)  9.011001e+15           1.0  Tvärbanan   \n",
       "22  POINT (17.979046 59.359693)  9.011001e+15           1.0  Tvärbanan   \n",
       "23  POINT (17.996282 59.361338)  9.011001e+15           1.0  Tvärbanan   \n",
       "24  POINT (18.008237 59.363759)  9.011001e+15           1.0  Tvärbanan   \n",
       "\n",
       "             trip_date  \n",
       "25 2021-06-17 10:46:01  \n",
       "16 2021-06-17 10:48:51  \n",
       "15 2021-06-17 10:50:33  \n",
       "14 2021-06-17 10:52:52  \n",
       "13 2021-06-17 10:54:24  \n",
       "0  2021-06-17 10:55:59  \n",
       "1  2021-06-17 10:58:53  \n",
       "2  2021-06-17 11:00:23  \n",
       "3  2021-06-17 11:02:24  \n",
       "4  2021-06-17 11:03:39  \n",
       "5  2021-06-17 11:05:24  \n",
       "6  2021-06-17 11:07:12  \n",
       "7  2021-06-17 11:09:05  \n",
       "8  2021-06-17 11:11:30  \n",
       "9  2021-06-17 11:12:54  \n",
       "10 2021-06-17 11:16:11  \n",
       "11 2021-06-17 11:18:00  \n",
       "12 2021-06-17 11:20:10  \n",
       "17 2021-06-17 11:23:45  \n",
       "18 2021-06-17 11:25:59  \n",
       "19 2021-06-17 11:27:45  \n",
       "20 2021-06-17 11:29:44  \n",
       "21 2021-06-17 11:32:48  \n",
       "22 2021-06-17 11:34:56  \n",
       "23 2021-06-17 11:37:25  \n",
       "24 2021-06-17 11:39:18  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# EXAMPLE: Delay details of a random trip on a random day at 14:51. \n",
    "single = tu_df_merged[tu_df_merged.trip_id == '14010000586634258']\n",
    "single = single.groupby('stop_id').apply(lambda x: x.loc[x.timestamp.idxmax()])\n",
    "single = single.reset_index(drop=True)\n",
    "\n",
    "# Apply sorting system\n",
    "single.stop_name = pd.Categorical(single.stop_name, sort_ns.stop_name)\n",
    "single.sort_values('stop_name', ascending=False) #.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10901752",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Departure delay per station per trip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e9a3e85",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T14:43:43.649840Z",
     "start_time": "2022-05-19T14:43:41.874Z"
    },
    "hidden": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "groupall_filtered = (groupall[groupall.departure_delay < 450])\n",
    "\n",
    "delays_north = groupall_filtered.loc[1.0].pivot_table('departure_delay', 'stop_name', 'trip_id')\n",
    "delays_south = groupall_filtered.loc[0.0].pivot_table('departure_delay', 'stop_name', 'trip_id')\n",
    "\n",
    "delays_north = delays_north.fillna(0)\n",
    "delays_south = delays_south.fillna(0)\n",
    "\n",
    "delays_north.index = pd.Categorical(delays_north.index, sort_ns.stop_name)\n",
    "delays_south.index = pd.Categorical(delays_south.index, sort_ns.stop_name)\n",
    "\n",
    "delays_north = delays_north.sort_index(ascending=False)\n",
    "delays_south = delays_south.sort_index(ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "582af1da",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T14:43:43.652465Z",
     "start_time": "2022-05-19T14:43:41.876Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "fig, axs = plt.subplots(nrows=2, figsize=(20, 15))\n",
    "\n",
    "sns.lineplot(data=delays_north,\n",
    "             ax=axs[0],\n",
    "             legend=False,\n",
    "             dashes=False,\n",
    "             palette='Spectral', \n",
    "             sort=False)\n",
    "axs[0].set_title(f\"\"\"Trip Sickla-Solna (n={delays_south.size})\"\"\")\n",
    "axs[0].set_ylabel('Cumulative delay in Seconds')\n",
    "axs[0].tick_params(labelrotation=45)\n",
    "\n",
    "sns.lineplot(data=delays_south,\n",
    "             ax=axs[1],\n",
    "             legend=False,\n",
    "             dashes=False,\n",
    "             palette='Spectral', \n",
    "             sort=False)\n",
    "axs[1].set_title(f\"\"\"Trip Solna-Sickla (n={delays_north.size})\"\"\")\n",
    "axs[1].set_ylabel('Cumulative delay in Seconds')\n",
    "axs[1].tick_params(labelrotation=45)\n",
    "\n",
    "fig.subplots_adjust(hspace=0.3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00da800c",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Dwell Time per station distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4e6c2c8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T14:43:43.654315Z",
     "start_time": "2022-05-19T14:43:41.878Z"
    },
    "hidden": true
   },
   "outputs": [],
   "source": [
    "dwell_time = groupall.reset_index()\n",
    "dwell_time['dwell'] = (dwell_time.departure_delay - dwell_time.arrival_delay)#.dt.seconds\n",
    "dwell_time.hist(by=dwell_time['stop_name'], figsize=(20,20))\n",
    "\n",
    "dwell_time.groupby('stop_name').mean()[['departure_delay', 'dwell']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15ae89fe",
   "metadata": {},
   "source": [
    "### Travel time between stations\n",
    "* Calculate time to travel between two stops, time between departure time and arrival time in seconds.\n",
    "* Compare this time to the scheduled travel time (departure_ts-departure_delay)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "280ddd65",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T15:28:27.615954Z",
     "start_time": "2022-05-19T15:28:27.592489Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>direction_id</th>\n",
       "      <th>order</th>\n",
       "      <th>start</th>\n",
       "      <th>start_stop_id</th>\n",
       "      <th>end</th>\n",
       "      <th>end_stop_id</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>23</td>\n",
       "      <td>Luma</td>\n",
       "      <td>9022001004529001</td>\n",
       "      <td>Sickla kaj</td>\n",
       "      <td>9022001004531001</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>24</td>\n",
       "      <td>Sickla kaj</td>\n",
       "      <td>9022001004531001</td>\n",
       "      <td>Sickla udde</td>\n",
       "      <td>9022001004533001</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>Sickla udde</td>\n",
       "      <td>9022001004533001</td>\n",
       "      <td>Sickla</td>\n",
       "      <td>9022001007611002</td>\n",
       "      <td>35</td>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td>67.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1.0</td>\n",
       "      <td>25</td>\n",
       "      <td>Solna station</td>\n",
       "      <td>9022001004549002</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>9022001004547002</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    direction_id  order          start     start_stop_id            end  \\\n",
       "22           0.0     23           Luma  9022001004529001     Sickla kaj   \n",
       "23           0.0     24     Sickla kaj  9022001004531001    Sickla udde   \n",
       "24           0.0     25    Sickla udde  9022001004533001         Sickla   \n",
       "25           1.0     25  Solna station  9022001004549002  Solna centrum   \n",
       "\n",
       "         end_stop_id   A    B    C  quality  \n",
       "22  9022001004531001   0    0  100      0.0  \n",
       "23  9022001004533001   0    0  100      0.0  \n",
       "24  9022001007611002  35   65    0     67.5  \n",
       "25  9022001004547002   0  100    0     50.0  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "row = pd.read_csv('./data/2-working-data/routes_row.csv', index_col=0)\n",
    "row.start_stop_id = row.start_stop_id.astype(str)\n",
    "row.end_stop_id   = row.end_stop_id.astype(str)\n",
    "row['quality'] = 100 - 0*row.A - 0.5*row.B - 1*row.C\n",
    "row.iloc[22:26]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "512b5b62",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T19:08:44.325633Z",
     "start_time": "2022-05-19T19:08:44.318424Z"
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Lambda Function to merge two stop records with arrival and departure time\n",
    "#  into one single row with a point-to-point trip with departure & arrival time.\n",
    "def stops_to_p2p_trips(trip):\n",
    "    trip_out = trip[[\n",
    "        'trip_id', 'stop_id', 'stop_name', 'departure_ts', 'departure_ts_sched'\n",
    "    ]]\n",
    "\n",
    "    trip_out = trip_out.merge(row[[\n",
    "        'order', 'start_stop_id', 'end_stop_id', 'start',\n",
    "        'end', 'A', 'B', 'C', 'quality'\n",
    "    ]],\n",
    "                              how='left',\n",
    "                              left_on='stop_id',\n",
    "                              right_on='start_stop_id')\n",
    "\n",
    "    trip_out = trip_out.merge(\n",
    "        trip[['arrival_ts', 'arrival_ts_sched', 'stop_id', 'stop_name']],\n",
    "        how='left',\n",
    "        left_on=['end_stop_id'],\n",
    "        right_on='stop_id',\n",
    "        suffixes=('', '_to'),\n",
    "    )\n",
    "\n",
    "    return trip_out  #.sort_values('order')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "bed3394e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T19:46:53.706773Z",
     "start_time": "2022-05-19T19:46:40.558461Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trip_id</th>\n",
       "      <th>stop_id</th>\n",
       "      <th>stop_name</th>\n",
       "      <th>departure_ts</th>\n",
       "      <th>departure_ts_sched</th>\n",
       "      <th>order</th>\n",
       "      <th>start_stop_id</th>\n",
       "      <th>end_stop_id</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>quality</th>\n",
       "      <th>arrival_ts</th>\n",
       "      <th>arrival_ts_sched</th>\n",
       "      <th>stop_id_to</th>\n",
       "      <th>stop_name_to</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2097</th>\n",
       "      <td>14010000574850211</td>\n",
       "      <td>9022001004543002</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>2021-06-13 05:50:10</td>\n",
       "      <td>2021-06-13 05:49:30</td>\n",
       "      <td>22.0</td>\n",
       "      <td>9022001004543002</td>\n",
       "      <td>9022001004541002</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021-06-13 05:50:58</td>\n",
       "      <td>2021-06-13 05:52:00</td>\n",
       "      <td>9022001004541002</td>\n",
       "      <td>Bällsta bro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21992</th>\n",
       "      <td>14010000591118518</td>\n",
       "      <td>9022001004537001</td>\n",
       "      <td>Norra Ulvsunda</td>\n",
       "      <td>2021-06-28 12:26:30</td>\n",
       "      <td>2021-06-28 12:26:30</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9022001004537001</td>\n",
       "      <td>9022001004535001</td>\n",
       "      <td>Norra Ulvsunda</td>\n",
       "      <td>Johannesfred</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2021-06-28 12:24:07</td>\n",
       "      <td>2021-06-28 12:25:30</td>\n",
       "      <td>9022001004535001</td>\n",
       "      <td>Johannesfred</td>\n",
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       "      <th>25587</th>\n",
       "      <td>14010513462802262</td>\n",
       "      <td>9022001004513001</td>\n",
       "      <td>Årstadal</td>\n",
       "      <td>2021-06-17 17:19:32</td>\n",
       "      <td>2021-06-17 17:21:00</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9022001004513001</td>\n",
       "      <td>9022001004511001</td>\n",
       "      <td>Årstadal</td>\n",
       "      <td>Årstaberg</td>\n",
       "      <td>80.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>2021-06-17 17:17:24</td>\n",
       "      <td>2021-06-17 17:19:00</td>\n",
       "      <td>9022001004511001</td>\n",
       "      <td>Årstaberg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14909</th>\n",
       "      <td>14010000586219362</td>\n",
       "      <td>9022001004509001</td>\n",
       "      <td>Årstafältet</td>\n",
       "      <td>2021-06-28 13:44:08</td>\n",
       "      <td>2021-06-28 13:42:30</td>\n",
       "      <td>17.0</td>\n",
       "      <td>9022001004509001</td>\n",
       "      <td>9022001004507001</td>\n",
       "      <td>Årstafältet</td>\n",
       "      <td>Valla torg</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2021-06-28 13:41:46</td>\n",
       "      <td>2021-06-28 13:40:45</td>\n",
       "      <td>9022001004507001</td>\n",
       "      <td>Valla torg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24109</th>\n",
       "      <td>14010513428021990</td>\n",
       "      <td>9022001004519002</td>\n",
       "      <td>Gröndal</td>\n",
       "      <td>2021-06-17 02:33:25</td>\n",
       "      <td>2021-06-17 02:44:00</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9022001004519002</td>\n",
       "      <td>9022001004517002</td>\n",
       "      <td>Gröndal</td>\n",
       "      <td>Trekanten</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021-06-17 02:34:26</td>\n",
       "      <td>2021-06-17 02:46:00</td>\n",
       "      <td>9022001004517002</td>\n",
       "      <td>Trekanten</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 trip_id           stop_id            stop_name  \\\n",
       "2097   14010000574850211  9022001004543002  Sundbybergs centrum   \n",
       "21992  14010000591118518  9022001004537001       Norra Ulvsunda   \n",
       "25587  14010513462802262  9022001004513001             Årstadal   \n",
       "14909  14010000586219362  9022001004509001          Årstafältet   \n",
       "24109  14010513428021990  9022001004519002              Gröndal   \n",
       "\n",
       "             departure_ts  departure_ts_sched  order     start_stop_id  \\\n",
       "2097  2021-06-13 05:50:10 2021-06-13 05:49:30   22.0  9022001004543002   \n",
       "21992 2021-06-28 12:26:30 2021-06-28 12:26:30    7.0  9022001004537001   \n",
       "25587 2021-06-17 17:19:32 2021-06-17 17:21:00   15.0  9022001004513001   \n",
       "14909 2021-06-28 13:44:08 2021-06-28 13:42:30   17.0  9022001004509001   \n",
       "24109 2021-06-17 02:33:25 2021-06-17 02:44:00   14.0  9022001004519002   \n",
       "\n",
       "            end_stop_id                start           end      A      B  \\\n",
       "2097   9022001004541002  Sundbybergs centrum   Bällsta bro    0.0    0.0   \n",
       "21992  9022001004535001       Norra Ulvsunda  Johannesfred  100.0    0.0   \n",
       "25587  9022001004511001             Årstadal     Årstaberg   80.0   20.0   \n",
       "14909  9022001004507001          Årstafältet    Valla torg    0.0  100.0   \n",
       "24109  9022001004517002              Gröndal     Trekanten    0.0    0.0   \n",
       "\n",
       "           C  quality          arrival_ts    arrival_ts_sched  \\\n",
       "2097   100.0      0.0 2021-06-13 05:50:58 2021-06-13 05:52:00   \n",
       "21992    0.0    100.0 2021-06-28 12:24:07 2021-06-28 12:25:30   \n",
       "25587    0.0     90.0 2021-06-17 17:17:24 2021-06-17 17:19:00   \n",
       "14909    0.0     50.0 2021-06-28 13:41:46 2021-06-28 13:40:45   \n",
       "24109  100.0      0.0 2021-06-17 02:34:26 2021-06-17 02:46:00   \n",
       "\n",
       "             stop_id_to  stop_name_to  \n",
       "2097   9022001004541002   Bällsta bro  \n",
       "21992  9022001004535001  Johannesfred  \n",
       "25587  9022001004511001     Årstaberg  \n",
       "14909  9022001004507001    Valla torg  \n",
       "24109  9022001004517002     Trekanten  "
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "groupall_s = groupall.reset_index(drop=True)\n",
    "\n",
    "groupall_s.loc[groupall_s.stop_name=='Solna station', 'stop_id'] = 9022001004549001\n",
    "groupall_s.loc[groupall_s.stop_name=='Sickla',        'stop_id'] = 9022001007611002\n",
    "\n",
    "p2p_trips = groupall_s.groupby(['trip_id']).apply(stops_to_p2p_trips)\n",
    "p2p_trips = p2p_trips.reset_index(drop=True)\n",
    "\n",
    "p2p_trips.sample(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "cc6e7282",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T19:46:53.741715Z",
     "start_time": "2022-05-19T19:46:53.709040Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>scheduled_s</th>\n",
       "      <th>realised_s</th>\n",
       "      <th>diff_s</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Gullmarsplan</td>\n",
       "      <td>Mårtensdal</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.0</td>\n",
       "      <td>Globen</td>\n",
       "      <td>Gullmarsplan</td>\n",
       "      <td>150.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>-87.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.0</td>\n",
       "      <td>Linde</td>\n",
       "      <td>Globen</td>\n",
       "      <td>90.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>-22.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8.0</td>\n",
       "      <td>Valla torg</td>\n",
       "      <td>Linde</td>\n",
       "      <td>120.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>-56.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.0</td>\n",
       "      <td>Årstafältet</td>\n",
       "      <td>Valla torg</td>\n",
       "      <td>75.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>-28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25911</th>\n",
       "      <td>21.0</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>Karlsbodavägen</td>\n",
       "      <td>120.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>-39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25912</th>\n",
       "      <td>22.0</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>Bällsta bro</td>\n",
       "      <td>120.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>-67.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25913</th>\n",
       "      <td>23.0</td>\n",
       "      <td>Solna Business Park</td>\n",
       "      <td>Sundbybergs centrum</td>\n",
       "      <td>60.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25914</th>\n",
       "      <td>24.0</td>\n",
       "      <td>Solna centrum</td>\n",
       "      <td>Solna Business Park</td>\n",
       "      <td>60.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25915</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25916 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       order                start                  end  scheduled_s  \\\n",
       "0        5.0         Gullmarsplan           Mårtensdal        150.0   \n",
       "1        6.0               Globen         Gullmarsplan        150.0   \n",
       "2        7.0                Linde               Globen         90.0   \n",
       "3        8.0           Valla torg                Linde        120.0   \n",
       "4        9.0          Årstafältet           Valla torg         75.0   \n",
       "...      ...                  ...                  ...          ...   \n",
       "25911   21.0          Bällsta bro       Karlsbodavägen        120.0   \n",
       "25912   22.0  Sundbybergs centrum          Bällsta bro        120.0   \n",
       "25913   23.0  Solna Business Park  Sundbybergs centrum         60.0   \n",
       "25914   24.0        Solna centrum  Solna Business Park         60.0   \n",
       "25915    NaN                  NaN                  NaN          NaN   \n",
       "\n",
       "       realised_s  diff_s      A      B      C  quality  \n",
       "0           150.0     0.0   80.0    0.0   20.0     80.0  \n",
       "1            63.0   -87.0  100.0    0.0    0.0    100.0  \n",
       "2            68.0   -22.0  100.0    0.0    0.0    100.0  \n",
       "3            64.0   -56.0  100.0    0.0    0.0    100.0  \n",
       "4            47.0   -28.0    0.0  100.0    0.0     50.0  \n",
       "...           ...     ...    ...    ...    ...      ...  \n",
       "25911        81.0   -39.0    0.0  100.0    0.0     50.0  \n",
       "25912        53.0   -67.0    0.0    0.0  100.0      0.0  \n",
       "25913       126.0    66.0   40.0    0.0   60.0     40.0  \n",
       "25914       115.0    55.0    0.0   75.0   25.0     37.5  \n",
       "25915         NaN     NaN    NaN    NaN    NaN      NaN  \n",
       "\n",
       "[25916 rows x 10 columns]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p2p_trips['scheduled_s'] = (p2p_trips.arrival_ts_sched -\n",
    "                            p2p_trips.departure_ts_sched).dt.total_seconds()\n",
    "p2p_trips['realised_s'] = (p2p_trips.arrival_ts -\n",
    "                           p2p_trips.departure_ts).dt.total_seconds()\n",
    "p2p_trips['diff_s'] = p2p_trips.realised_s - p2p_trips.scheduled_s\n",
    "\n",
    "p2p_trips[[\n",
    "    'order', 'start', 'end', 'scheduled_s', 'realised_s', 'diff_s', 'A', 'B',\n",
    "    'C', 'quality'\n",
    "]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "eb51da6c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T20:28:53.562585Z",
     "start_time": "2022-05-19T20:28:53.391297Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[-4.67747836e+11, -3.43617641e+10,  3.99024308e+11,\n",
       "          8.66772144e+11]]),\n",
       " array([-3.99024308e+13]))"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p2p_trips_non = p2p_trips.dropna(subset=['A', 'B', 'C', 'quality', 'diff_s'])\n",
    "p2p_trips_non = p2p_trips_non[  ~(p2p_trips_non.diff_s > p2p_trips_non.diff_s.quantile(0.99))\n",
    "                              & ~(p2p_trips_non.diff_s < p2p_trips_non.diff_s.quantile(0.01))]\n",
    "\n",
    "\n",
    "reg = sklearn.linear_model.LinearRegression()\n",
    "reg.fit(p2p_trips_non[['A', 'B', 'C', 'quality']], p2p_trips_non[['diff_s']])\n",
    "\n",
    "plt.scatter(p2p_trips_non.quality, p2p_trips_non.diff_s)\n",
    "\n",
    "reg.coef_, reg.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "bed9b9ce",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-19T20:28:59.355486Z",
     "start_time": "2022-05-19T20:28:59.342982Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.038802448097151276"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sklearn.metrics.r2_score(\n",
    "    p2p_trips_non[['diff_s']],\n",
    "    reg.predict(p2p_trips_non[['A', 'B', 'C', 'quality']])\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8b99408",
   "metadata": {},
   "source": [
    "# ToDo\n",
    "\n",
    "* Average stop delay\n",
    "* Variance in stop delay\n",
    "* Seeing how much prediction of stop delay is actually realistic: is it too pessimistic or too optimistic? Is it accurate?\n",
    "* Seeing if stops exist where trams always arrive early\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae9106d4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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    "version": 3
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
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  "notify_time": "5",
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     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
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    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
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   },
   "position": {
    "height": "241.85px",
    "left": "1021px",
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