9.2. Results - Speed.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original NE: POINT (31.5 66.8)\n",
      "Original SW: POINT (8.5 53)\n",
      "Transformed NE: (697681.2863658136, 7416224.9393330095)\n",
      "Transformed SW: (-735260.4063631196, 6033964.466017238)\n",
      "col_count 573\n",
      "row_count 552\n",
      "grid_size 316296\n",
      "Original NE: POINT (31.5 66.8)\n",
      "Original SW: POINT (8.5 53)\n",
      "Transformed NE: (697681.2863658136, 7416224.9393330095)\n",
      "Transformed SW: (-735260.4063631196, 6033964.466017238)\n",
      "col_count 286\n",
      "row_count 276\n",
      "grid_size 78936\n"
     ]
    }
   ],
   "source": [
    "##### from pygradu import gridify\n",
    "from pygradu import shortest_path\n",
    "from pygradu import gridify\n",
    "from pygradu import portcalls\n",
    "\n",
    "import shapely.geometry\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import importlib\n",
    "\n",
    "RESULTS_DIR = 'data/results/'\n",
    "DATASET_DIR = 'data/datasets/'\n",
    "SHAPES_DIR = 'data/shapes/'\n",
    "\n",
    "importlib.reload(gridify)\n",
    "\n",
    "grid_2500m = gridify.area_to_grid(side_length=2500)\n",
    "grid_5km = gridify.area_to_grid(side_length=5000)\n",
    "\n",
    "validation_voyages_summer = pd.read_csv(DATASET_DIR + 'validation_set_summer.csv', index_col=0, parse_dates = ['timestamp', 'ata', 'atd'])\n",
    "validation_voyages_winter = pd.read_csv(DATASET_DIR + 'validation_set_winter.csv', index_col=0, parse_dates = ['timestamp', 'ata', 'atd'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from shapely.geometry import shape, Point\n",
    "# depending on your version, use: from shapely.geometry import shape, Point\n",
    "\n",
    "# load GeoJSON file containing sectors\n",
    "with open(SHAPES_DIR + 'sea_areas.geojson') as f:\n",
    "    sea_areas = json.load(f)\n",
    "\n",
    "def get_sea_area_from_latlon(sea_areas, lat, lon):\n",
    "    point = Point(lon, lat)\n",
    "    # check each polygon to see if it contains the point\n",
    "    for feature in sea_areas['features']:\n",
    "        polygon = shape(feature['geometry'])\n",
    "        if polygon.contains(point):\n",
    "            return feature['properties']['id']\n",
    "    return -1\n",
    "\n",
    "def get_sea_area_name_from_latlon(sea_areas, lat, lon):\n",
    "    point = Point(lon, lat)\n",
    "    # check each polygon to see if it contains the point\n",
    "    for feature in sea_areas['features']:\n",
    "        polygon = shape(feature['geometry'])\n",
    "        if polygon.contains(point):\n",
    "            return feature['properties']['name']\n",
    "    return 'South'\n",
    "\n",
    "def get_sea_area_name(sea_areas, _id):\n",
    "    # check each polygon to see if it contains the point\n",
    "    for feature in sea_areas['features']:\n",
    "        polygon = shape(feature['geometry'])\n",
    "        if int(feature['properties']['id']) == int(_id):\n",
    "            return feature['properties']['name']\n",
    "    return 'South'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "157\n"
     ]
    }
   ],
   "source": [
    "ports = pd.read_csv(DATASET_DIR + 'ports.csv')\n",
    "ports = ports[['port_id', 'lat', 'lon']]\n",
    "print(len(ports))\n",
    "\n",
    "ais_ports = pd.read_csv(DATASET_DIR + 'ports_calculated_from_ais.csv')\n",
    "ais_ports = ais_ports[['id', 'lat', 'lon']]\n",
    "ais_ports.columns=['port_id', 'lat', 'lon']\n",
    "\n",
    "ports = ports.append(ais_ports)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>voyage</th>\n",
       "      <th>vessel_type</th>\n",
       "      <th>end_port</th>\n",
       "      <th>end_port_sea_area</th>\n",
       "      <th>start_time</th>\n",
       "      <th>pred_time</th>\n",
       "      <th>mins_to_future</th>\n",
       "      <th>actual_lat</th>\n",
       "      <th>actual_lon</th>\n",
       "      <th>pred_lat</th>\n",
       "      <th>pred_lon</th>\n",
       "      <th>actual_speed</th>\n",
       "      <th>pred_speed</th>\n",
       "      <th>acc_distance_nm</th>\n",
       "      <th>error_rate_lat</th>\n",
       "      <th>error_rate_lon</th>\n",
       "      <th>error_rate_speed</th>\n",
       "      <th>correct_node</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14</td>\n",
       "      <td>GC</td>\n",
       "      <td>19942</td>\n",
       "      <td>-1</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>53.974982</td>\n",
       "      <td>11.340805</td>\n",
       "      <td>53.974982</td>\n",
       "      <td>11.340805</td>\n",
       "      <td>4.63</td>\n",
       "      <td>4.649501</td>\n",
       "      <td>3.819239e-13</td>\n",
       "      <td>1.316430e-14</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.421189</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14</td>\n",
       "      <td>GC</td>\n",
       "      <td>19942</td>\n",
       "      <td>-1</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>2019-06-07 11:35:43</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>53.992868</td>\n",
       "      <td>11.331420</td>\n",
       "      <td>53.992051</td>\n",
       "      <td>11.357935</td>\n",
       "      <td>4.63</td>\n",
       "      <td>4.649501</td>\n",
       "      <td>9.371762e-01</td>\n",
       "      <td>1.513326e-03</td>\n",
       "      <td>0.233991</td>\n",
       "      <td>0.421189</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>14</td>\n",
       "      <td>GC</td>\n",
       "      <td>19942</td>\n",
       "      <td>-1</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>2019-06-07 11:41:43</td>\n",
       "      <td>13.900000</td>\n",
       "      <td>54.007890</td>\n",
       "      <td>11.331562</td>\n",
       "      <td>54.005014</td>\n",
       "      <td>11.370954</td>\n",
       "      <td>4.63</td>\n",
       "      <td>4.649501</td>\n",
       "      <td>1.400651e+00</td>\n",
       "      <td>5.325419e-03</td>\n",
       "      <td>0.347631</td>\n",
       "      <td>0.421189</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14</td>\n",
       "      <td>GC</td>\n",
       "      <td>19942</td>\n",
       "      <td>-1</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>2019-06-07 11:47:53</td>\n",
       "      <td>20.066667</td>\n",
       "      <td>54.018665</td>\n",
       "      <td>11.345753</td>\n",
       "      <td>54.018335</td>\n",
       "      <td>11.384343</td>\n",
       "      <td>4.42</td>\n",
       "      <td>4.649501</td>\n",
       "      <td>1.361401e+00</td>\n",
       "      <td>6.107745e-04</td>\n",
       "      <td>0.340124</td>\n",
       "      <td>5.192332</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14</td>\n",
       "      <td>GC</td>\n",
       "      <td>19942</td>\n",
       "      <td>-1</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>2019-06-07 11:52:59</td>\n",
       "      <td>25.166667</td>\n",
       "      <td>54.020092</td>\n",
       "      <td>11.367012</td>\n",
       "      <td>54.029351</td>\n",
       "      <td>11.395423</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.649501</td>\n",
       "      <td>1.145939e+00</td>\n",
       "      <td>1.714044e-02</td>\n",
       "      <td>0.249943</td>\n",
       "      <td>2.637993</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   voyage vessel_type  end_port  end_port_sea_area          start_time  \\\n",
       "0      14          GC     19942                 -1 2019-06-07 11:27:49   \n",
       "1      14          GC     19942                 -1 2019-06-07 11:27:49   \n",
       "2      14          GC     19942                 -1 2019-06-07 11:27:49   \n",
       "3      14          GC     19942                 -1 2019-06-07 11:27:49   \n",
       "4      14          GC     19942                 -1 2019-06-07 11:27:49   \n",
       "\n",
       "            pred_time  mins_to_future  actual_lat  actual_lon   pred_lat  \\\n",
       "0 2019-06-07 11:27:49        0.000000   53.974982   11.340805  53.974982   \n",
       "1 2019-06-07 11:35:43        7.900000   53.992868   11.331420  53.992051   \n",
       "2 2019-06-07 11:41:43       13.900000   54.007890   11.331562  54.005014   \n",
       "3 2019-06-07 11:47:53       20.066667   54.018665   11.345753  54.018335   \n",
       "4 2019-06-07 11:52:59       25.166667   54.020092   11.367012  54.029351   \n",
       "\n",
       "    pred_lon  actual_speed  pred_speed  acc_distance_nm  error_rate_lat  \\\n",
       "0  11.340805          4.63    4.649501     3.819239e-13    1.316430e-14   \n",
       "1  11.357935          4.63    4.649501     9.371762e-01    1.513326e-03   \n",
       "2  11.370954          4.63    4.649501     1.400651e+00    5.325419e-03   \n",
       "3  11.384343          4.42    4.649501     1.361401e+00    6.107745e-04   \n",
       "4  11.395423          4.53    4.649501     1.145939e+00    1.714044e-02   \n",
       "\n",
       "   error_rate_lon  error_rate_speed  correct_node  \n",
       "0        0.000000          0.421189             1  \n",
       "1        0.233991          0.421189             1  \n",
       "2        0.347631          0.421189             1  \n",
       "3        0.340124          5.192332             0  \n",
       "4        0.249943          2.637993             0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summer_results_5km_adj = pd.read_csv(RESULTS_DIR + 'summer_results_5km_adj_to_end.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "summer_results_5km_ship = pd.read_csv(RESULTS_DIR + 'summer_results_5km_ship_to_end.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "summer_results_2500m_adj = pd.read_csv(RESULTS_DIR + 'summer_results_2500m_adj_to_end.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "\n",
    "winter_results_5km_adj_no_dirway = pd.read_csv(RESULTS_DIR + 'winter_results_to_end_5km_adj_no_dirways.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "winter_results_5km_adj_dirway = pd.read_csv(RESULTS_DIR + 'winter_results_to_end_5km_adj_dirways.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "winter_results_5km_ship_no_dirway = pd.read_csv(RESULTS_DIR + 'winter_results_5km_ship_to_end_no_dirways.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "winter_results_5km_ship_dirway = pd.read_csv(RESULTS_DIR + 'winter_results_5km_ship_to_end_dirways.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "winter_results_2500m_adj_no_dirway = pd.read_csv(RESULTS_DIR + 'winter_results_2500m_ship_to_end_no_dirways.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "winter_results_2500m_adj_dirway = pd.read_csv(RESULTS_DIR + 'winter_results_2500m_ship_to_end_dirways.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "summer_results_5km_adj.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 21.7 s, sys: 63.3 ms, total: 21.8 s\n",
      "Wall time: 21.8 s\n",
      "CPU times: user 11.2 s, sys: 30.9 ms, total: 11.2 s\n",
      "Wall time: 11.2 s\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\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>voyage</th>\n",
       "      <th>voyage_length</th>\n",
       "      <th>start_end_length</th>\n",
       "      <th>difference</th>\n",
       "      <th>travel_time</th>\n",
       "      <th>avg_speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14</td>\n",
       "      <td>393.001082</td>\n",
       "      <td>331.910305</td>\n",
       "      <td>18.405809</td>\n",
       "      <td>1366.066667</td>\n",
       "      <td>4.801574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>67</td>\n",
       "      <td>509.627510</td>\n",
       "      <td>457.719607</td>\n",
       "      <td>11.340546</td>\n",
       "      <td>1442.483333</td>\n",
       "      <td>5.888805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>88</td>\n",
       "      <td>612.745803</td>\n",
       "      <td>438.626106</td>\n",
       "      <td>39.696611</td>\n",
       "      <td>1723.316667</td>\n",
       "      <td>5.917536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>93</td>\n",
       "      <td>1330.034728</td>\n",
       "      <td>1137.075860</td>\n",
       "      <td>16.969745</td>\n",
       "      <td>3856.666667</td>\n",
       "      <td>5.751125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>94</td>\n",
       "      <td>842.476910</td>\n",
       "      <td>616.033928</td>\n",
       "      <td>36.758200</td>\n",
       "      <td>2349.216667</td>\n",
       "      <td>5.984929</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   voyage  voyage_length  start_end_length  difference  travel_time  avg_speed\n",
       "0      14     393.001082        331.910305   18.405809  1366.066667   4.801574\n",
       "1      67     509.627510        457.719607   11.340546  1442.483333   5.888805\n",
       "2      88     612.745803        438.626106   39.696611  1723.316667   5.917536\n",
       "3      93    1330.034728       1137.075860   16.969745  3856.666667   5.751125\n",
       "4      94     842.476910        616.033928   36.758200  2349.216667   5.984929"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importlib.reload(portcalls)\n",
    "\n",
    "%time voyages_summer_lengths = portcalls.get_voyage_lengths(validation_voyages_summer)\n",
    "%time voyages_winter_lengths = portcalls.get_voyage_lengths(validation_voyages_winter)\n",
    "voyages_summer_lengths.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "importlib.reload(portcalls)\n",
    "\n",
    "voyages_summer = summer_results_5km_adj[['voyage', 'vessel_type', 'end_port', 'end_port_sea_area', 'start_time']].drop_duplicates()\n",
    "voyages_summer['start_lat'] = voyages_summer.apply(lambda row: summer_results_5km_adj[summer_results_5km_adj.voyage == row.voyage].head(1).iloc[0].actual_lat, axis=1)\n",
    "voyages_summer['start_lon'] = voyages_summer.apply(lambda row: summer_results_5km_adj[summer_results_5km_adj.voyage == row.voyage].head(1).iloc[0].actual_lon, axis=1)\n",
    "voyages_summer['start_sea_area'] = voyages_summer.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.start_lat, row.start_lon), axis=1)\n",
    "voyages_summer['start_port'] = voyages_summer.apply(lambda row: portcalls.get_port_id(row, ports), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "importlib.reload(portcalls)\n",
    "\n",
    "voyages_winter = winter_results_5km_adj_no_dirway[['voyage', 'vessel_type', 'end_port', 'end_port_sea_area', 'start_time']].drop_duplicates()\n",
    "voyages_winter['start_lat'] = voyages_winter.apply(lambda row: winter_results_5km_adj_no_dirway[winter_results_5km_adj_no_dirway.voyage == row.voyage].head(1).iloc[0].actual_lat, axis=1)\n",
    "voyages_winter['start_lon'] = voyages_winter.apply(lambda row: winter_results_5km_adj_no_dirway[winter_results_5km_adj_no_dirway.voyage == row.voyage].head(1).iloc[0].actual_lon, axis=1)\n",
    "voyages_winter['start_sea_area'] = voyages_winter.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.start_lat, row.start_lon), axis=1)\n",
    "voyages_winter['start_port'] = voyages_summer.apply(lambda row: portcalls.get_port_id(row, ports), axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summer results by sea areas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "summer_results_5km_ship['speed_diff'] = abs(summer_results_5km_ship['actual_speed'] - summer_results_5km_ship['pred_speed'])\n",
    "winter_results_5km_ship_no_dirway['speed_diff'] = abs(winter_results_5km_ship_no_dirway['actual_speed'] - winter_results_5km_ship_no_dirway['pred_speed'])\n",
    "winter_results_5km_ship_dirway['speed_diff'] = abs(winter_results_5km_ship_dirway['actual_speed'] - winter_results_5km_ship_dirway['pred_speed'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    71399.000000\n",
       "mean         0.908226\n",
       "std          0.918529\n",
       "min          0.000043\n",
       "25%          0.321938\n",
       "50%          0.679479\n",
       "75%          1.230140\n",
       "max         10.580000\n",
       "Name: speed_diff, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summer_results_5km_ship.speed_diff.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    37144.000000\n",
       "mean         0.960745\n",
       "std          0.967622\n",
       "min          0.000000\n",
       "25%          0.319199\n",
       "50%          0.711657\n",
       "75%          1.336714\n",
       "max          8.069000\n",
       "Name: speed_diff, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winter_results_5km_ship_no_dirway.speed_diff.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    37867.000000\n",
       "mean         0.995967\n",
       "std          1.008669\n",
       "min          0.000047\n",
       "25%          0.330271\n",
       "50%          0.720893\n",
       "75%          1.365304\n",
       "max          7.656451\n",
       "Name: speed_diff, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winter_results_5km_ship_dirway.speed_diff.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def plot_intervals(results, col_x, col_y, interval):\n",
    "    bins = []\n",
    "    labels = []\n",
    "\n",
    "    i = 0\n",
    "    while i < results[col_x].max():\n",
    "        bins.append(i)\n",
    "        labels.append(int(i))\n",
    "        i += interval\n",
    "    del labels[0]\n",
    "\n",
    "    results['interval'] = pd.cut(results[col_x], bins=bins, labels=labels)\n",
    "\n",
    "    x = []\n",
    "    y = []\n",
    "\n",
    "    for group, voyage_results in results.groupby('interval'):\n",
    "        if(len(voyage_results)) < 5:\n",
    "            continue\n",
    "        y.append(voyage_results[col_y].median())\n",
    "        if np.isnan(group):\n",
    "            group = 0\n",
    "        x.append(group/60)\n",
    "        \n",
    "    return x, y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.interpolate import make_interp_spline, BSpline\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(30,15))\n",
    "plt.rcParams.update({'font.size': 36})\n",
    "\n",
    "x, y = plot_intervals(summer_results_5km_ship,'mins_to_future', 'speed_diff', 60)\n",
    "plt.plot(x, y, alpha=1, linewidth=2, c='tab:orange', label='Summer')\n",
    "\n",
    "x, y = plot_intervals(winter_results_5km_ship_no_dirway,'mins_to_future', 'speed_diff', 60)\n",
    "plt.plot(x, y, alpha=1, linewidth=2, c='tab:purple', label='Winter (Dirways OFF)')\n",
    "\n",
    "x, y = plot_intervals(winter_results_5km_ship_dirway,'mins_to_future', 'speed_diff', 60)\n",
    "plt.plot(x, y, alpha=1, linewidth=2, c='tab:cyan', label='Winter (Dirways ON)')\n",
    "\n",
    "\n",
    "plt.xticks(np.arange(0, 90, 5)) \n",
    "plt.yticks(np.arange(0, 3, 0.25))\n",
    "plt.grid(axis='y', alpha=1)\n",
    "\n",
    "plt.title(f\"Speed Prediction Error over Voyage Duration\")\n",
    "plt.ylabel(\"Median Error in m/s\")\n",
    "plt.xlabel(\"Voyage Duration in Hours\")\n",
    "handles, labels = plt.gca().get_legend_handles_labels()\n",
    "newLabels, newHandles = [], []\n",
    "for handle, label in zip(handles, labels):\n",
    "  if label not in newLabels:\n",
    "    newLabels.append(label)\n",
    "    newHandles.append(handle)\n",
    "plt.legend(newHandles, newLabels)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Actual Speed Compared to the Predicted Speed over Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.interpolate import make_interp_spline, BSpline\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(30,15))\n",
    "plt.rcParams.update({'font.size': 36})\n",
    "\n",
    "x, y = plot_intervals(summer_results_5km_ship,'mins_to_future', 'actual_speed', 60)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:blue', label='Actual Speed')\n",
    "\n",
    "x, y = plot_intervals(summer_results_5km_ship,'mins_to_future', 'pred_speed', 60)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:red', label='Pred Speed')\n",
    "\n",
    "\n",
    "plt.xticks(np.arange(0, 90, 5)) \n",
    "plt.yticks(np.arange(4.5, 8, 0.25))\n",
    "plt.grid(axis='y', alpha=1)\n",
    "\n",
    "plt.title(f\"Actual Speed Compared to the Predicted Speed over Time\")\n",
    "plt.ylabel(\"Speed in m/s\")\n",
    "plt.xlabel(\"Voyage Duration in Hours\")\n",
    "handles, labels = plt.gca().get_legend_handles_labels()\n",
    "newLabels, newHandles = [], []\n",
    "for handle, label in zip(handles, labels):\n",
    "  if label not in newLabels:\n",
    "    newLabels.append(label)\n",
    "    newHandles.append(handle)\n",
    "plt.legend(newHandles, newLabels)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "summer_results_5km_ship['in_sea_area'] = summer_results_5km_ship.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.actual_lat, row.actual_lon), axis=1)\n",
    "winter_results_5km_ship_dirway['in_sea_area'] = winter_results_5km_ship_dirway.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.actual_lat, row.actual_lon), axis=1)\n",
    "winter_results_5km_ship_no_dirway['in_sea_area'] = winter_results_5km_ship_no_dirway.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.actual_lat, row.actual_lon), axis=1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Exam speed results by sea areas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "sea_area_ids = []\n",
    "for feature in sea_areas['features']:\n",
    "    sea_area_ids.append(feature['properties']['id'])\n",
    "\n",
    "def calculate_speed_results(route_results, voyage_lengts):\n",
    "    \n",
    "    sea_area_accuracies = []\n",
    "    for sea_area in sea_area_ids:\n",
    "        if(sea_area == -1):\n",
    "            continue\n",
    "        voyage_in_sea_areas = route_results[route_results.in_sea_area == sea_area][['voyage', 'in_sea_area']].drop_duplicates()\n",
    "        sea_area_results = route_results[route_results.voyage.isin(voyage_in_sea_areas.voyage.values)]\n",
    "        voyage_lengths = voyage_lengts[voyage_lengts.voyage.isin(sea_area_results.voyage.drop_duplicates().values)].voyage_length\n",
    "        sea_area_accuracies.append([sea_area, sea_area_results.median().speed_diff, sea_area_results.mean().speed_diff, sea_area_results.std().speed_diff, len(sea_area_results)])\n",
    "\n",
    "    sea_area_accuracies = pd.DataFrame(data=sea_area_accuracies, columns=['sea_area', 'median_speed_diff', 'mean_speed_diff', 'std_speed_diff', 'count'])\n",
    "    sea_area_accuracies['sea_area_name'] = sea_area_accuracies.apply(lambda row: get_sea_area_name(sea_areas, row.sea_area), axis=1)\n",
    "    sea_area_accuracies = sea_area_accuracies[['sea_area_name', 'median_speed_diff', 'mean_speed_diff', 'std_speed_diff', 'count']].sort_values(by='median_speed_diff')\n",
    "    return sea_area_accuracies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>sea_area_name</th>\n",
       "      <th>median_speed_diff</th>\n",
       "      <th>mean_speed_diff</th>\n",
       "      <th>std_speed_diff</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Saimaa</td>\n",
       "      <td>0.504999</td>\n",
       "      <td>0.799475</td>\n",
       "      <td>0.820255</td>\n",
       "      <td>2224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bothnian Bay</td>\n",
       "      <td>0.571885</td>\n",
       "      <td>0.808483</td>\n",
       "      <td>0.878069</td>\n",
       "      <td>12512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gulf of Riga</td>\n",
       "      <td>0.643623</td>\n",
       "      <td>0.774676</td>\n",
       "      <td>0.654207</td>\n",
       "      <td>8735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Gdansk Basin</td>\n",
       "      <td>0.653717</td>\n",
       "      <td>0.912361</td>\n",
       "      <td>1.062656</td>\n",
       "      <td>10718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Arkona Basin &amp; Bomholm Basin</td>\n",
       "      <td>0.657076</td>\n",
       "      <td>0.888920</td>\n",
       "      <td>0.911195</td>\n",
       "      <td>29817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bothnian Sea &amp; The Quark</td>\n",
       "      <td>0.661403</td>\n",
       "      <td>0.894093</td>\n",
       "      <td>0.920342</td>\n",
       "      <td>29048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gotland Basin</td>\n",
       "      <td>0.670956</td>\n",
       "      <td>0.890441</td>\n",
       "      <td>0.920893</td>\n",
       "      <td>46673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gulf of Finland</td>\n",
       "      <td>0.688888</td>\n",
       "      <td>0.858340</td>\n",
       "      <td>0.781711</td>\n",
       "      <td>20386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Northern Baltic Proper</td>\n",
       "      <td>0.689881</td>\n",
       "      <td>0.900852</td>\n",
       "      <td>0.922465</td>\n",
       "      <td>45162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Åland Sea</td>\n",
       "      <td>0.699553</td>\n",
       "      <td>0.887564</td>\n",
       "      <td>0.856049</td>\n",
       "      <td>35624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>St. Petersburg</td>\n",
       "      <td>1.333636</td>\n",
       "      <td>1.111936</td>\n",
       "      <td>0.718663</td>\n",
       "      <td>878</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sea_area_name  median_speed_diff  mean_speed_diff  \\\n",
       "9                         Saimaa           0.504999         0.799475   \n",
       "0                   Bothnian Bay           0.571885         0.808483   \n",
       "5                   Gulf of Riga           0.643623         0.774676   \n",
       "7                   Gdansk Basin           0.653717         0.912361   \n",
       "8   Arkona Basin & Bomholm Basin           0.657076         0.888920   \n",
       "1       Bothnian Sea & The Quark           0.661403         0.894093   \n",
       "6                  Gotland Basin           0.670956         0.890441   \n",
       "3                Gulf of Finland           0.688888         0.858340   \n",
       "4         Northern Baltic Proper           0.689881         0.900852   \n",
       "2                      Åland Sea           0.699553         0.887564   \n",
       "10                St. Petersburg           1.333636         1.111936   \n",
       "\n",
       "    std_speed_diff  count  \n",
       "9         0.820255   2224  \n",
       "0         0.878069  12512  \n",
       "5         0.654207   8735  \n",
       "7         1.062656  10718  \n",
       "8         0.911195  29817  \n",
       "1         0.920342  29048  \n",
       "6         0.920893  46673  \n",
       "3         0.781711  20386  \n",
       "4         0.922465  45162  \n",
       "2         0.856049  35624  \n",
       "10        0.718663    878  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calculate_speed_results(summer_results_5km_ship, voyages_summer_lengths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        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>sea_area_name</th>\n",
       "      <th>median_speed_diff</th>\n",
       "      <th>mean_speed_diff</th>\n",
       "      <th>std_speed_diff</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gulf of Riga</td>\n",
       "      <td>0.492187</td>\n",
       "      <td>0.659395</td>\n",
       "      <td>0.837773</td>\n",
       "      <td>1748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gulf of Finland</td>\n",
       "      <td>0.559759</td>\n",
       "      <td>0.694605</td>\n",
       "      <td>0.712903</td>\n",
       "      <td>2230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bothnian Bay</td>\n",
       "      <td>0.706280</td>\n",
       "      <td>0.984305</td>\n",
       "      <td>1.004965</td>\n",
       "      <td>37050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bothnian Sea &amp; The Quark</td>\n",
       "      <td>0.719175</td>\n",
       "      <td>0.974870</td>\n",
       "      <td>0.966700</td>\n",
       "      <td>36713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Northern Baltic Proper</td>\n",
       "      <td>0.730000</td>\n",
       "      <td>0.968739</td>\n",
       "      <td>0.932808</td>\n",
       "      <td>32122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Åland Sea</td>\n",
       "      <td>0.731205</td>\n",
       "      <td>0.969779</td>\n",
       "      <td>0.933848</td>\n",
       "      <td>33104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gotland Basin</td>\n",
       "      <td>0.755992</td>\n",
       "      <td>0.994456</td>\n",
       "      <td>0.952591</td>\n",
       "      <td>29912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Arkona Basin &amp; Bomholm Basin</td>\n",
       "      <td>0.859546</td>\n",
       "      <td>1.069966</td>\n",
       "      <td>0.986762</td>\n",
       "      <td>23615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Gdansk Basin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Saimaa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>St. Petersburg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sea_area_name  median_speed_diff  mean_speed_diff  \\\n",
       "5                   Gulf of Riga           0.492187         0.659395   \n",
       "3                Gulf of Finland           0.559759         0.694605   \n",
       "0                   Bothnian Bay           0.706280         0.984305   \n",
       "1       Bothnian Sea & The Quark           0.719175         0.974870   \n",
       "4         Northern Baltic Proper           0.730000         0.968739   \n",
       "2                      Åland Sea           0.731205         0.969779   \n",
       "6                  Gotland Basin           0.755992         0.994456   \n",
       "8   Arkona Basin & Bomholm Basin           0.859546         1.069966   \n",
       "7                   Gdansk Basin                NaN              NaN   \n",
       "9                         Saimaa                NaN              NaN   \n",
       "10                St. Petersburg                NaN              NaN   \n",
       "\n",
       "    std_speed_diff  count  \n",
       "5         0.837773   1748  \n",
       "3         0.712903   2230  \n",
       "0         1.004965  37050  \n",
       "1         0.966700  36713  \n",
       "4         0.932808  32122  \n",
       "2         0.933848  33104  \n",
       "6         0.952591  29912  \n",
       "8         0.986762  23615  \n",
       "7              NaN      0  \n",
       "9              NaN      0  \n",
       "10             NaN      0  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calculate_speed_results(winter_results_5km_ship_dirway, voyages_winter_lengths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "        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>sea_area_name</th>\n",
       "      <th>median_speed_diff</th>\n",
       "      <th>mean_speed_diff</th>\n",
       "      <th>std_speed_diff</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gulf of Finland</td>\n",
       "      <td>0.499506</td>\n",
       "      <td>0.655485</td>\n",
       "      <td>0.697886</td>\n",
       "      <td>2221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gulf of Riga</td>\n",
       "      <td>0.505503</td>\n",
       "      <td>0.591854</td>\n",
       "      <td>0.503067</td>\n",
       "      <td>1133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bothnian Bay</td>\n",
       "      <td>0.692557</td>\n",
       "      <td>0.947412</td>\n",
       "      <td>0.962065</td>\n",
       "      <td>36361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bothnian Sea &amp; The Quark</td>\n",
       "      <td>0.707671</td>\n",
       "      <td>0.942833</td>\n",
       "      <td>0.932860</td>\n",
       "      <td>36039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Northern Baltic Proper</td>\n",
       "      <td>0.724396</td>\n",
       "      <td>0.945098</td>\n",
       "      <td>0.913398</td>\n",
       "      <td>31707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Åland Sea</td>\n",
       "      <td>0.725171</td>\n",
       "      <td>0.945825</td>\n",
       "      <td>0.913872</td>\n",
       "      <td>32678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gotland Basin</td>\n",
       "      <td>0.741089</td>\n",
       "      <td>0.968339</td>\n",
       "      <td>0.937142</td>\n",
       "      <td>28998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Arkona Basin &amp; Bomholm Basin</td>\n",
       "      <td>0.848528</td>\n",
       "      <td>1.042114</td>\n",
       "      <td>0.963906</td>\n",
       "      <td>23332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Gdansk Basin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Saimaa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>St. Petersburg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sea_area_name  median_speed_diff  mean_speed_diff  \\\n",
       "3                Gulf of Finland           0.499506         0.655485   \n",
       "5                   Gulf of Riga           0.505503         0.591854   \n",
       "0                   Bothnian Bay           0.692557         0.947412   \n",
       "1       Bothnian Sea & The Quark           0.707671         0.942833   \n",
       "4         Northern Baltic Proper           0.724396         0.945098   \n",
       "2                      Åland Sea           0.725171         0.945825   \n",
       "6                  Gotland Basin           0.741089         0.968339   \n",
       "8   Arkona Basin & Bomholm Basin           0.848528         1.042114   \n",
       "7                   Gdansk Basin                NaN              NaN   \n",
       "9                         Saimaa                NaN              NaN   \n",
       "10                St. Petersburg                NaN              NaN   \n",
       "\n",
       "    std_speed_diff  count  \n",
       "3         0.697886   2221  \n",
       "5         0.503067   1133  \n",
       "0         0.962065  36361  \n",
       "1         0.932860  36039  \n",
       "4         0.913398  31707  \n",
       "2         0.913872  32678  \n",
       "6         0.937142  28998  \n",
       "8         0.963906  23332  \n",
       "7              NaN      0  \n",
       "9              NaN      0  \n",
       "10             NaN      0  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calculate_speed_results(winter_results_5km_ship_no_dirway, voyages_winter_lengths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
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