stations_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6e526b98",
   "metadata": {},
   "source": [
    "## Import data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "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": "a9ed93f1",
   "metadata": {},
   "source": [
    "## Graph a random station"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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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   "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"
   ]
  },
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   "cell_type": "markdown",
   "id": "c82faaa2",
   "metadata": {},
   "source": [
    "## Changes in station bike availability by hour of day"
   ]
  },
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    "# Graph the number of times 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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            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "updatemenudefaults": {
           "bgcolor": "#506784",
           "borderwidth": 0
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "#283442",
           "linecolor": "#506784",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#283442",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "#283442",
           "linecolor": "#506784",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#283442",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Absolute change in availability of bikes"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Hour of day"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Number of bike availability changes"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Graph the absolute change in number of bikes at a station by the 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",
    "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': 'Number of bike availability changes', 'last_reported': 'Hour of day'}\n",
    ")\n",
    "fig.update_layout(title='Absolute change in availability of bikes')\n",
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "c241fe1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build an hour by hour heatmap of number of available bikes and docks \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",
    "    mean_available_bikes=('num_bikes_available', 'mean'), \n",
    "    mean_available_docks=('num_docks_available', 'mean'),\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 = np.r_[1:24, 0:1]\n",
    "fig = go.Figure(data=[\n",
    "    go.Bar(\n",
    "        x=station.mean_available_bikes,\n",
    "        y=station.index.get_level_values(level=2),\n",
    "        name='Average available bikes',\n",
    "        orientation='h',\n",
    "        hovertemplate='Average number of bikes between %{y}:00 and %{customdata}:00 - %{x}<extra></extra>',\n",
    "        customdata=custom_data,\n",
    "    ), \n",
    "    go.Bar(\n",
    "        x=station.mean_available_docks,\n",
    "        y=station.index.get_level_values(level=2),\n",
    "        name='Average available docks',\n",
    "        hovertemplate='Average number of docks between %{y}:00 and %{customdata}:00 - %{x}<extra></extra>',\n",
    "        orientation='h',\n",
    "        customdata=custom_data,\n",
    "    ),\n",
    "])\n",
    "\n",
    "title = 'Average dock and bike availability 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='Count',\n",
    "    yaxis_title='Hour of day',\n",
    "    yaxis=dict(range=[0, 23]),\n",
    "    barmode='stack',\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",
    "center_x = (station.mean_available_bikes[0] + station.mean_available_docks[0]) / 2\n",
    "fig.add_annotation(\n",
    "    x=center_x, 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",
    "\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",
    "    station_chart = stations_heatmap.loc[station.name]\n",
    "    station_data = [\n",
    "        [station_chart.mean_available_bikes, station_chart.index], \n",
    "        [station_chart.mean_available_docks, station_chart.index]\n",
    "    ],\n",
    "    all_station_data.append(\n",
    "        dict(\n",
    "            args=[ {'x': [station_chart.mean_available_bikes, station_chart.mean_available_docks] } ], \n",
    "            label=station.name, \n",
    "            method='update',\n",
    "        )\n",
    "    )\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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