stations_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6e526b98",
   "metadata": {},
   "source": [
    "## Import data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2da9c5ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "# Read our station csv files, join them and do some date processing\n",
    "station_status = pd.read_csv('station_status.csv')\n",
    "station_information = pd.read_csv('station_information.csv')\n",
    "stations = station_information.join(\n",
    "    station_status.reset_index().set_index('station_id'), on='station_id', lsuffix='_information'\n",
    ")\n",
    "stations = stations.reset_index()\n",
    "stations['last_reported'] = pd.to_datetime(stations['last_reported'], unit='s')\n",
    "stations['last_reported'] = stations['last_reported'].dt.tz_localize('UTC').dt.tz_convert('Europe/Oslo')\n",
    "stations = stations.sort_values(by=['station_id', 'last_reported'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54973611",
   "metadata": {},
   "source": [
    "## Overall statistics\n",
    "\n",
    "Let's see how many stations, docks and bikes there are in the system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "24fb835b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    2388.000000\n",
      "mean     2154.332077\n",
      "std        68.509592\n",
      "min      1905.000000\n",
      "25%      2108.000000\n",
      "50%      2159.000000\n",
      "75%      2202.250000\n",
      "max      2311.000000\n",
      "Name: num_bikes_available, dtype: float64\n",
      "Average number of parked bikes: 2154.3320770519263\n",
      "Total system capacity: 5783\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# print the average of the total amount of available bikes in the system\n",
    "total_bikes = stations.groupby('last_reported').sum('num_bikes_available')\n",
    "print(total_bikes['num_bikes_available'].describe())\n",
    "print('Average number of parked bikes: ' + str(total_bikes['num_bikes_available'].mean()))\n",
    "print('Total system capacity: ' + str(station_information['capacity'].sum()))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9ed93f1",
   "metadata": {},
   "source": [
    "## Graph a random station"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f35c39ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "variable=Available bikes<br>last_reported=%{x}<br>value=%{y}<extra></extra>",
         "legendgroup": "Available bikes",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "Available bikes",
         "showlegend": true,
         "type": "scattergl",
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        },
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   "source": [
    "# let's pick a random station and graph its available bikes and docks\n",
    "import numpy as np\n",
    "import plotly.io as pio\n",
    "pio.templates.default = \"plotly_dark\"\n",
    "import plotly.express as px\n",
    "import plotly.offline as py\n",
    "\n",
    "random_station_id = stations['station_id'][np.random.randint(len(stations))]\n",
    "selected_station = stations[stations['station_id'] == random_station_id]\n",
    "fig = px.line(\n",
    "    selected_station, x='last_reported', y=['num_bikes_available', 'num_docks_available'],\n",
    ")\n",
    "station_name = selected_station['name'].iloc[0]\n",
    "fig.update_layout(\n",
    "    title='Bysykkel station ' + station_name + ' bike and dock availability',\n",
    "    xaxis_title='Date / Time', yaxis_title='Number', \n",
    "    legend_title='Metric',\n",
    ")\n",
    "trace_names = {'num_bikes_available': 'Available bikes', 'num_docks_available': 'Available docks'} \n",
    "fig.for_each_trace(lambda t: t.update(\n",
    "        name = trace_names[t.name],\n",
    "        legendgroup = trace_names[t.name],\n",
    "        hovertemplate = t.hovertemplate.replace(t.name, trace_names[t.name])\n",
    "    )\n",
    ")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c82faaa2",
   "metadata": {},
   "source": [
    "## Changes in station bike availability by hour of day"
   ]
  },
  {
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    "# Graph how often the number of bikes at a station changes by the hour of day\n",
    "stations['same_station_as_previous_row'] = stations['station_id'] == stations['station_id'].shift(-1)\n",
    "stations['change_in_bikes'] = stations['same_station_as_previous_row'] * stations['num_bikes_available'] != stations['num_bikes_available'].shift(-1)\n",
    "changed_by_hour = stations.groupby(stations.last_reported.dt.hour).change_in_bikes.sum()\n",
    "fig = px.line(\n",
    "    changed_by_hour, y='change_in_bikes', labels={'change_in_bikes': 'Changes in station bike availability', 'last_reported':'Hour of day'}\n",
    ")\n",
    "fig.update_layout(\n",
    "    title='Changes in station bike availability',\n",
    "    xaxis_title='Hour of day',\n",
    ")\n",
    "fig\n"
   ]
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    "## Proportional changes in bike numbers by hour"
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         "text": "Proportion of availability changes of bikes<br><sup>Based on 2388 station statuses from 260 stations between 2024-08-23 and 2024-10-02</sup>"
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   "source": [
    "# Graph the proportion of bike changes that happen in the system by hour of day\n",
    "stations.change_in_bikes = abs(stations['num_bikes_available'] - stations['num_bikes_available'].shift(-1)) * stations['station_id'] == stations['station_id'].shift(-1)\n",
    "stations['change_in_bikes'] = stations['same_station_as_previous_row'] * abs(stations['num_bikes_available'] - stations['num_bikes_available'].shift(-1))\n",
    "\n",
    "# Group by hour and sum the changes\n",
    "changed_by_hour = stations.groupby(stations.last_reported.dt.hour)['change_in_bikes'].sum()\n",
    "# Calculate the proportion of changes for each hour\n",
    "proportion_changes_by_hour = changed_by_hour / changed_by_hour.sum() * 100\n",
    "\n",
    "fig = px.line(\n",
    "    proportion_changes_by_hour.round(0), y='change_in_bikes', labels={'change_in_bikes': 'Percentage of bike availability changes<br>', 'last_reported': 'Hour of day'}\n",
    ")\n",
    "subtitle = '<br><sup>Based on {0} station statuses from {1} stations between {2} and {3}</sup>'.format(\n",
    "    stations['last_reported'].nunique(),  stations['station_id'].nunique(), stations['last_reported'].min().strftime('%Y-%m-%d'), stations['last_reported'].max().strftime('%Y-%m-%d')\n",
    ")\n",
    "fig.update_layout(title='Proportion of availability changes of bikes'+subtitle)\n",
    "fig.update_xaxes(tickvals=[0, 4, 8, 12, 16, 20])\n",
    "fig.write_image('./charts/bysykkel-system-availability-changes-by-hour.png')\n",
    "\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d4222e3",
   "metadata": {},
   "source": [
    "## Heatmap of bike and dock availability by hour of day per station\n",
    "\n",
    "How often will you find an empty bike station? How often will you want to park your bike at a station only to find all the docks full?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c241fe1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skovveien station not found\n",
      "Linaaes gate station not found\n",
      "St. Olavs gate station not found\n",
      "Ullevål sykehus station not found\n",
      "Majorstuen T-bane station not found\n",
      "Søndre gate station not found\n",
      "Hammersborg Torg station not found\n",
      "Marienlyst station not found\n"
     ]
    }
   ],
   "source": [
    "# Build an hour by hour heatmap of the proportion of times where there is at least one available bike and dock at a given station \n",
    "import plotly.graph_objects as go\n",
    "\n",
    "stations_heatmap = stations.groupby(\n",
    "    [stations.name, stations.station_id, stations.last_reported.dt.hour],\n",
    ").agg(\n",
    "    proportion_non_zero_bikes=('num_bikes_available', lambda x: (x != 0).mean() * 100), \n",
    "    proportion_non_zero_docks=('num_docks_available', lambda x: (x != 0).mean() * 100),\n",
    "    count=('last_reported', np.count_nonzero),\n",
    "    start=('last_reported', 'min'),\n",
    "    end=('last_reported', 'max'),\n",
    ").round(0)\n",
    "\n",
    "stations_heatmap.index.names = ['station_name', 'station_id', 'hour_of_day']\n",
    "\n",
    "# build a graph with the first station\n",
    "station = stations_heatmap.loc[[stations_heatmap.index.levels[0][0]]]\n",
    "custom_data = [1] + list(range(6, 25))\n",
    "fig = go.Figure(data=[\n",
    "    go.Bar(\n",
    "        x=station.proportion_non_zero_bikes,\n",
    "        y=station.index.get_level_values(level=2),\n",
    "        name='Bikes',\n",
    "        orientation='h',\n",
    "        hovertemplate='One or more bikes between %{y}:00 and %{customdata}:00 - %{x}%<extra></extra>',\n",
    "        customdata=custom_data,\n",
    "    ), \n",
    "    go.Bar(\n",
    "        x=station.proportion_non_zero_docks,\n",
    "        y=station.index.get_level_values(level=2),\n",
    "        name='Docks',\n",
    "        hovertemplate='One or more docks between %{y}:00 and %{customdata}:00 - %{x}%<extra></extra>',\n",
    "        orientation='h',\n",
    "        customdata=custom_data,\n",
    "    ),\n",
    "])\n",
    "\n",
    "title = 'How often is there at least one dock/bike available at OsloBysykkel.no stations<br><sup>Based on {0} station statuses between {1} and {2}</sup>'.format(\n",
    "    station['count'].sum(), station['start'].iloc[0].strftime('%Y-%m-%d'), station['end'].iloc[0].strftime('%Y-%m-%d')\n",
    ")\n",
    "title += '<br><sup>See github.com/kalli/bysykkel-data for more information.</sup>'\n",
    "\n",
    "fig.update_layout(\n",
    "    title=title,\n",
    "    xaxis_title='Percentage of times when there is at least one bike/dock available',\n",
    "    yaxis_title='Hour of day',\n",
    "    yaxis=dict(range=[0, 23]),\n",
    "    barmode='group',\n",
    ")\n",
    "\n",
    "# Add an annotation about when the system is closed\n",
    "annotation = 'The Bysykkel system is closed between 01:00 and 05:00'\n",
    "fig.add_annotation(\n",
    "    x=50, y=3, height=50, text=annotation, showarrow=False, \n",
    "    bgcolor='#000000',\n",
    ")\n",
    "fig['layout']['yaxis']['autorange'] = 'reversed'\n",
    "\n",
    "fig.update_yaxes(range=[0, 23])\n",
    "fig.update_yaxes(tickvals=[0, 4, 8, 12, 16, 20])\n",
    "fig.update_xaxes(range=[0, 100])\n",
    "\n",
    "# Build a dropdown so that the user can select information for a specific station\n",
    "all_station_data = []\n",
    "for station in station_information.itertuples():\n",
    "    try:\n",
    "        station_chart = stations_heatmap.loc[station.name]\n",
    "        station_data = [\n",
    "            [station_chart.proportion_non_zero_bikes, station_chart.index], \n",
    "            [station_chart.proportion_non_zero_docks, station_chart.index]\n",
    "        ],\n",
    "        all_station_data.append(\n",
    "            dict(\n",
    "                args=[ {'x': [station_chart.proportion_non_zero_bikes, station_chart.proportion_non_zero_docks] } ], \n",
    "                label=station.name, \n",
    "                method='update',\n",
    "            )\n",
    "        )\n",
    "    except KeyError:\n",
    "        print(station.name + ' station not found')\n",
    "all_station_data.sort(key=lambda x: x['label'])\n",
    "fig.update_layout(\n",
    "    updatemenus=[\n",
    "        dict(\n",
    "            buttons=all_station_data,\n",
    "            direction=\"down\",\n",
    "            pad={\"r\": 10, \"t\": 10},\n",
    "            showactive=True,\n",
    "        ),\n",
    "    ]\n",
    ")\n",
    "fig.write_html('./charts/bysykkel-station-hour-by-hour-availability.html')"
   ]
  }
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