volumes/miovision/dev_notebooks/02 - Test New Data Insertion.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test New Data Insertion\n",
    "\n",
    "Following extensive discussions with Raph and Aakash ([#323](https://github.com/CityofToronto/bdit_data-sources/issues/323), [#329](https://github.com/CityofToronto/bdit_data-sources/issues/329)), made a few changes to `intersection_tmc.py`. Miovision made changes to their API in summer 2020 (Mohan Thomas e-mail June 30, 2020 4:58 PM) that:\n",
    "- Moved streetcar counts from buses to general unsorted motorized vehicles.\n",
    "- Folded work vans into light autos.\n",
    "\n",
    "We need to find an intersection with missing data as close to September 2020 as possible, to avoid conflicts. Happily, the one Raph found (Danforth / Woodbine; `uid = 38`, `id = 6174c193-13a9-4056-832b-f80783eaf333`) has has missing data in late August and no work vans:\n",
    "\n",
    "```sql\n",
    "SELECT COUNT(*)\n",
    "FROM miovision_api.volumes\n",
    "WHERE intersection_uid = 38 AND classification_uid = 8 AND datetime_bin BETWEEN '2020-08-22 00:00:00' AND '2020-08-24 00:00:00';\n",
    "```\n",
    "\n",
    "returns 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import psycopg2\n",
    "import math\n",
    "import pytz\n",
    "import datetime\n",
    "import dateutil\n",
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "import pathlib\n",
    "import configparser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Grab Postgres and Miovision credentials.\n",
    "config = configparser.ConfigParser()\n",
    "config.read(pathlib.Path.home().joinpath('.charlesconfig').as_posix())\n",
    "postgres_settings = config['POSTGRES']\n",
    "miov_token = config['MIOVISION']['key']\n",
    "\n",
    "local_tz = pytz.timezone('US/Eastern')\n",
    "\n",
    "url = 'https://api.miovision.com/intersections/' \n",
    "tmc_endpoint = '/tmc'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Diagnostic Functions\n",
    "\n",
    "Functions to extract data from the Miovision API into Pandas. Based off of discussion and code snippets in [#323](https://github.com/CityofToronto/bdit_data-sources/issues/323)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "headers = {'Content-Type':'application/json', 'Authorization': miov_token}\n",
    "\n",
    "# Generator for cycling through 6-hour time blocks.\n",
    "def timerange(start_time, end_time, dt):\n",
    "    for i in range(math.ceil((end_time - start_time) / dt)):\n",
    "        c_start = start_time + i * dt\n",
    "        c_end = min(c_start + dt, end_time)\n",
    "        yield (c_start, c_end)\n",
    "\n",
    "\n",
    "def get_raw_api_call(start_time, end_time, dt, intersection_id):\n",
    "    tmc_all = []\n",
    "\n",
    "    for (c_start_t, c_end_t) in timerange(start_time, end_time, dt):\n",
    "        params = {'endTime': c_end_t, 'startTime' : c_start_t} \n",
    "        response=requests.get(url + intersection_id + tmc_endpoint,\n",
    "                              params=params, headers=headers)\n",
    "        tmc = json.loads(response.content.decode('utf-8'))\n",
    "        tmc_all += tmc\n",
    "    return tmc_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Functions from intersections_tmc.py for encoding movement and class.\n",
    "def get_movement(entrance, exit_dir):\n",
    "    if (entrance == 'N' and exit_dir =='S'):\n",
    "        return '1'\n",
    "    elif entrance == 'S' and exit_dir =='N':\n",
    "        return '1'\n",
    "    elif entrance == 'W' and exit_dir =='E':\n",
    "        return '1'\n",
    "    elif entrance == 'E' and exit_dir =='W':\n",
    "        return '1'\n",
    "    elif entrance == 'S' and exit_dir =='W':\n",
    "        return '2'\n",
    "    elif entrance == 'N' and exit_dir =='E':\n",
    "        return '2'\n",
    "    elif entrance == 'W' and exit_dir =='N':\n",
    "        return '2'\n",
    "    elif entrance == 'E' and exit_dir =='S':\n",
    "        return '2'\n",
    "    elif entrance == 'S' and exit_dir =='E':\n",
    "        return '3'\n",
    "    elif entrance == 'E' and exit_dir =='N':\n",
    "        return '3'\n",
    "    elif entrance == 'N' and exit_dir =='W':\n",
    "        return '3'\n",
    "    elif entrance == 'W' and exit_dir =='S':\n",
    "        return '3'\n",
    "    return '4'\n",
    "\n",
    "def apply_get_movement(row):\n",
    "    return get_movement(row[\"entrance\"], row[\"exit\"])\n",
    "\n",
    "def get_classification(veh_class):\n",
    "    if (veh_class == 'Pedestrian'):\n",
    "        return '6'\n",
    "    elif veh_class == 'Light':\n",
    "        return '1'\n",
    "    elif veh_class == 'Bicycle':\n",
    "        return '2'\n",
    "    elif veh_class == 'Bus':\n",
    "        return '3'\n",
    "    elif veh_class == 'SingleUnitTruck':\n",
    "        return '4'\n",
    "    elif veh_class == 'ArticulatedTruck':\n",
    "        return '5'\n",
    "    elif veh_class == 'WorkVan':\n",
    "        return '8'\n",
    "    elif veh_class == 'MotorizedVehicle':\n",
    "        return '9'\n",
    "    raise ValueError(\"vehicle class {0} not recognized!\".format(veh_class))\n",
    "\n",
    "# Convert to Pandas DataFrame.\n",
    "def convert_raw_api_to_df(tmc_all):\n",
    "    df_tmc = pd.DataFrame(tmc_all)\n",
    "    df_tmc[\"movement_uid\"] = df_tmc.apply(apply_get_movement, axis=1).astype(int)\n",
    "    df_tmc[\"classification_uid\"] = df_tmc[\"class\"].apply(get_classification).astype(int)\n",
    "    df_tmc['datetime_bin'] = pd.to_datetime(df_tmc['timestamp']).dt.tz_convert(local_tz)\n",
    "    df_tmc.rename(columns={'qty': \"volume\"}, inplace=True)\n",
    "    df_tmc[\"leg\"] = df_tmc[\"entrance\"]\n",
    "    df_tmc['in_api'] = True\n",
    "    return df_tmc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experiment\n",
    "\n",
    "### Postgres Bulk Statistics Before Data Refresh\n",
    "\n",
    "Before we try to fill missing values with `intersection_tmc.py`, alter the classification IDs of class 0 counts to class 9:\n",
    "\n",
    "```sql\n",
    "UPDATE miovision_api.volumes\n",
    "SET classification_uid = 9\n",
    "WHERE intersection_uid = 38 AND classification_uid = 0 AND datetime_bin BETWEEN '2020-08-22 00:00:00' AND '2020-08-24 00:00:00';\n",
    "```\n",
    "\n",
    "There are 82 class 9 vehicles during this time.\n",
    "\n",
    "Before updating the data, the command\n",
    "\n",
    "```sql\n",
    "SELECT COUNT(*)\n",
    "FROM miovision_api.volumes\n",
    "WHERE intersection_uid = 38 AND classification_uid != 6 AND datetime_bin BETWEEN '2020-08-22 00:00:00' AND '2020-08-24 00:00:00'\n",
    "```\n",
    "\n",
    "returns 18367\n",
    "\n",
    "```sql\n",
    "SELECT COUNT(DISTINCT datetime_bin)\n",
    "FROM miovision_api.volumes\n",
    "WHERE intersection_uid = 38 AND classification_uid != 6 AND datetime_bin BETWEEN '2020-08-22 00:00:00' AND '2020-08-24 00:00:00'\n",
    "```\n",
    "\n",
    "returns 2190, a far cry from the 2881 we'd expect from two full days plus midnight on the third day.\n",
    "\n",
    "```sql\n",
    "SELECT classification_uid, COUNT(*)\n",
    "FROM miovision_api.volumes\n",
    "WHERE intersection_uid = 38 AND classification_uid != 6 AND datetime_bin BETWEEN '2020-08-22 00:00:00' AND '2020-08-24 00:00:00'\n",
    "GROUP BY classification_uid\n",
    "ORDER BY classification_uid\n",
    "```\n",
    "\n",
    "gives\n",
    "\n",
    "```\n",
    "1\t14623\n",
    "2\t2493\n",
    "3\t766\n",
    "4\t390\n",
    "5\t13\n",
    "9\t82\n",
    "```\n",
    "\n",
    "How does that compare with the API?\n",
    "\n",
    "### API Bulk Statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract all non-pedestrian values using the Miovision API from 2020-08-22\n",
    "# to 2020-08-24 (inclusive) with a cadence of 6 hours.\n",
    "start_time = local_tz.localize(datetime.datetime(2020, 8, 22))\n",
    "end_time = local_tz.localize(datetime.datetime(2020, 8, 24, 0, 1, 0))\n",
    "dt = datetime.timedelta(hours=6)\n",
    "# Equivalent to intersection_uid = 38\n",
    "intersection_id = \"6174c193-13a9-4056-832b-f80783eaf333\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_tmc = get_raw_api_call(start_time, end_time, dt, intersection_id)\n",
    "df_tmc = convert_raw_api_to_df(raw_tmc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2876,)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tmc[\"datetime_bin\"].unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    19989\n",
       "2     3156\n",
       "3      962\n",
       "4      447\n",
       "9       90\n",
       "5       16\n",
       "Name: classification_uid, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tmc[\"classification_uid\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So we have way more vehicles in every category.\n",
    "\n",
    "### Run Data Refresh\n",
    "\n",
    "Run\n",
    "\n",
    "```\n",
    "python intersection_tmc.py run-api --path /etc/airflow/data_scripts/volumes/miovision/api/config.cfg --start_date 2020-08-22 --end_date 2020-08-24 --intersection 38\n",
    "```\n",
    "\n",
    "Now\n",
    "\n",
    "```sql\n",
    "SELECT COUNT(*)\n",
    "FROM miovision_api.volumes\n",
    "WHERE intersection_uid = 38 AND classification_uid != 6 AND datetime_bin BETWEEN '2020-08-22 00:00:00' AND '2020-08-24 00:00:00'\n",
    "```\n",
    "\n",
    "returns 24660\n",
    "\n",
    "```sql\n",
    "SELECT COUNT(DISTINCT datetime_bin)\n",
    "FROM miovision_api.volumes\n",
    "WHERE intersection_uid = 38 AND classification_uid != 6 AND datetime_bin BETWEEN '2020-08-22 00:00:00' AND '2020-08-24 00:00:00'\n",
    "```\n",
    "\n",
    "returns 2876\n",
    "\n",
    "```sql\n",
    "SELECT classification_uid, COUNT(*)\n",
    "FROM miovision_api.volumes\n",
    "WHERE intersection_uid = 38 AND classification_uid != 6 AND datetime_bin BETWEEN '2020-08-22 00:00:00' AND '2020-08-24 00:00:00'\n",
    "GROUP BY classification_uid\n",
    "ORDER BY classification_uid\n",
    "```\n",
    "\n",
    "returns\n",
    "\n",
    "```\n",
    "1\t19989\n",
    "2\t3156\n",
    "3\t962\n",
    "4\t447\n",
    "5\t16\n",
    "9\t90\n",
    "```\n",
    "\n",
    "These stats are identical to the API ones! We just need to check that the data are indeed now the same using a row-by-row join."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieve data from the Postgres raw data.\n",
    "sql_query = \"\"\"SELECT *\n",
    "FROM miovision_api.volumes\n",
    "WHERE intersection_uid = 38 AND classification_uid != 6 AND datetime_bin BETWEEN '2020-08-22 00:00:00' AND '2020-08-24 00:00:00'\n",
    "\"\"\"\n",
    "\n",
    "with psycopg2.connect(database='bigdata', **postgres_settings) as db_con:\n",
    "    df_pg = pd.read_sql(sql_query, db_con)\n",
    "    df_pg['datetime_bin'] = df_pg['datetime_bin'].dt.tz_localize(local_tz)\n",
    "    df_pg['in_postgres'] = True\n",
    "    df_pg['new_insert'] = df_pg['volume_uid'] >= 700000000\n",
    "\n",
    "# Merge all unique\n",
    "df_combined = pd.merge(\n",
    "    df_pg[['datetime_bin', 'classification_uid', 'leg', 'movement_uid',\n",
    "           'volume', 'in_postgres', 'volume_uid', 'new_insert']],\n",
    "    df_tmc[['datetime_bin', 'classification_uid', 'leg', 'movement_uid', 'volume', 'in_api']],\n",
    "    how=\"outer\",\n",
    "    on=['datetime_bin', 'classification_uid', 'leg', 'movement_uid', 'volume'])\n",
    "df_combined.sort_values(['datetime_bin', 'classification_uid', 'leg', 'movement_uid', 'volume'], inplace=True)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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       "      <th>classification_uid</th>\n",
       "      <th>leg</th>\n",
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       "                   datetime_bin  classification_uid leg  movement_uid  volume  \\\n",
       "24660 2020-08-22 17:41:00-04:00                   1   N             3       4   \n",
       "\n",
       "      in_postgres  volume_uid new_insert in_api  \n",
       "24660         NaN         NaN        NaN   True  "
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    "df_combined.loc[df_combined['in_postgres'].isna(), :]"
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       "      <th>classification_uid</th>\n",
       "      <th>leg</th>\n",
       "      <th>movement_uid</th>\n",
       "      <th>volume</th>\n",
       "      <th>in_postgres</th>\n",
       "      <th>volume_uid</th>\n",
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       "                  datetime_bin  classification_uid leg  movement_uid  volume  \\\n",
       "4960 2020-08-22 17:41:00-04:00                   1   N             3       3   \n",
       "\n",
       "     in_postgres   volume_uid new_insert in_api  \n",
       "4960        True  753228023.0       True    NaN  "
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     "execution_count": 18,
     "metadata": {},
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    "df_combined.loc[df_combined['in_api'].isna(), :]"
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   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "1    19988\n",
       "2     3156\n",
       "3      962\n",
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       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "\n",
    "ax.plot(df_combined.loc[df_combined['in_postgres'].isna(), 'datetime_bin'],\n",
    "        df_combined.loc[df_combined['in_postgres'].isna(), 'volume'], ms=2, marker=\"o\", ls=\"none\",\n",
    "        label=\"Only in Postgres\")\n",
    "ax.plot(df_combined.loc[df_combined['in_api'].isna(), 'datetime_bin'],\n",
    "        df_combined.loc[df_combined['in_api'].isna(), 'volume'], ms=2, mew=5, marker=\"+\", ls=\"none\",\n",
    "        label=\"Only from API\")\n",
    "ax.set_xlabel(\"time\")\n",
    "ax.set_ylabel(\"volume\")\n",
    "ax.set_xlim([df_combined['datetime_bin'].min(), df_combined['datetime_bin'].max()])\n",
    "ax.legend(loc=2);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So there is still a single difference between API and Postgres - a count of 4 instead of 3 light vehicles in on `2020-08-22 17:41:00-04:00`."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.6.9 64-bit ('bditto': venv)",
   "language": "python",
   "name": "python36964bitbdittovenvd56842b7ca0c4929925d70f8c4c7f13a"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}