Vessels.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fbddb21f-e04b-4575-b06d-e1148d9415d5",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import shutil, requests, os, glob\n",
    "import subprocess\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import glob\n",
    "import matplotlib.pyplot as plt\n",
    "import shapely\n",
    "import contextily as ctx"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1685e01b-f10b-4571-81a5-7e9e5f5beaaf",
   "metadata": {},
   "source": [
    "## Download vessel activity data for first 20 days at around 0AM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "795158ed-1d87-467f-b2a8-ed98355b4b8c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "local_dir = '/Volumes/LuMas2324/OHW23_data/california-pam/'\n",
    "def download_file(url):\n",
    "    local_filename = os.path.join(local_dir,url.split('/')[-1])\n",
    "    with requests.get(url, stream=True) as r:\n",
    "        with open(local_filename, 'wb') as f:\n",
    "            shutil.copyfileobj(r.raw, f)\n",
    "\n",
    "    return local_filename"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f2158918-b49f-4bf0-a177-0170dfa16e42",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20']\n"
     ]
    }
   ],
   "source": [
    "# download vessel data for first 20 days\n",
    "days = [f'{day:02d}' for day in range(1, 21)]\n",
    "print(days)\n",
    "urls = [f\"https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_{day}.zip\" for day in days]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f3828b9a-0525-4456-ac77-22a44c774c01",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_01.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_02.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_03.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_04.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_05.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_06.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_07.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_08.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_09.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_10.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_11.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_12.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_13.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_14.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_15.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_16.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_17.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_18.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_19.zip', 'https://coast.noaa.gov/htdata/CMSP/AISDataHandler/2021/AIS_2021_01_20.zip']\n"
     ]
    }
   ],
   "source": [
    "print(urls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5052599e-c91d-46ac-948d-a5e50587869b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for url in urls:\n",
    "    download_file(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "70fd0eaf-834c-4a7d-b58b-7a450d67cab6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_09.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_10.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_11.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_02.zip\n",
      "  inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_10.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_09.csv  Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_12.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_01.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_03.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_04.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_05.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_06.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_07.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_08.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_13.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_14.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_15.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_16.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_17.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_18.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_19.zip\n",
      "Archive:  /Volumes/LuMas2324/OHW23_data/california-pam/AIS_2021_01_20.zip\n",
      "  inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_02.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_11.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_14.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_13.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_01.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_04.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_19.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_08.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_18.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_20.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_12.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_15.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_07.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_03.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_16.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_06.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_17.csv    inflating: /Volumes/LuMas2324/OHW23_data/california-pam/vessel/AIS_2021_01_05.csv  "
     ]
    }
   ],
   "source": [
    "# unzip files\n",
    "for file in glob.glob(local_dir + '/AIS_2021*.zip'):\n",
    "    subprocess.Popen(['unzip', file, '-d', local_dir + 'vessel'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b45455ed-c6b9-476a-9313-f97b07db31b3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: geopandas in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (0.9.0)\n",
      "Requirement already satisfied: fiona in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (1.8.21)\n",
      "Requirement already satisfied: shapely in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (1.8.4)\n",
      "Requirement already satisfied: pandas>=0.24.0 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from geopandas) (1.3.5)\n",
      "Requirement already satisfied: pyproj>=2.2.0 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from geopandas) (3.3.1)\n",
      "Requirement already satisfied: attrs>=17 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from fiona) (22.1.0)\n",
      "Requirement already satisfied: certifi in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from fiona) (2023.5.7)\n",
      "Requirement already satisfied: click>=4.0 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from fiona) (8.0.4)\n",
      "Requirement already satisfied: cligj>=0.5 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from fiona) (0.7.2)\n",
      "Requirement already satisfied: click-plugins>=1.0 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from fiona) (1.1.1)\n",
      "Requirement already satisfied: six>=1.7 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from fiona) (1.16.0)\n",
      "Requirement already satisfied: munch in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from fiona) (2.5.0)\n",
      "Requirement already satisfied: setuptools in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from fiona) (67.8.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from pandas>=0.24.0->geopandas) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2017.3 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from pandas>=0.24.0->geopandas) (2022.7)\n",
      "Requirement already satisfied: numpy>=1.17.3 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from pandas>=0.24.0->geopandas) (1.21.6)\n"
     ]
    }
   ],
   "source": [
    "! pip install geopandas fiona shapely"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1d7e3051",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pyarrow\n",
      "  Downloading pyarrow-12.0.1-cp39-cp39-macosx_10_14_x86_64.whl (24.8 MB)\n",
      "\u001b[2K     \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.8/24.8 MB\u001b[0m \u001b[31m5.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0mm eta \u001b[36m0:00:01\u001b[0m[36m0:00:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: numpy>=1.16.6 in /Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages (from pyarrow) (1.21.6)\n",
      "Installing collected packages: pyarrow\n",
      "Successfully installed pyarrow-12.0.1\n"
     ]
    }
   ],
   "source": [
    "! pip install pyarrow"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "511c7ed2-81fa-4d57-acb0-c01a54892505",
   "metadata": {},
   "source": [
    "# Read files\n",
    "\n",
    "Attempt to count vessel activity within area at around 0AM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "08ca5d02-7abb-48ee-b7a4-ce218b1a4dd1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "lat = 36.713\n",
    "lon = -122.186"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "1f2b58a5-84b0-4434-ba88-eaf00cb5701d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# develop function to output number of ships\n",
    "def get_vessel_activity(data_path):\n",
    "    # data path has date, so we can keep track of time\n",
    "    date = os.path.basename(data_path)[4:-4]\n",
    "    \n",
    "    df = pd.read_csv(data_path, engine='pyarrow')\n",
    "    query_time = df[df['BaseDateTime'].dt.hour == 13]\n",
    "    query_boundingbox = f\"LAT > {lat-0.25} & LAT < {lat + 0.25} & LON > {lon-0.25} & LON < {lon+0.25}\"\n",
    "    res = query_time.query(query_boundingbox)\n",
    "    print(f\"{date} has {len(res)} within bounding box\")\n",
    "    return res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "c456ef2b-00e4-433b-8bd1-87f2c7f9c0db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021_01_09 has 43 within bounding box\n",
      "2021_01_02 has 1 within bounding box\n",
      "2021_01_11 has 121 within bounding box\n",
      "2021_01_12 has 23 within bounding box\n",
      "2021_01_15 has 5 within bounding box\n",
      "2021_01_13 has 28 within bounding box\n",
      "2021_01_14 has 0 within bounding box\n",
      "2021_01_17 has 0 within bounding box\n",
      "2021_01_16 has 0 within bounding box\n",
      "2021_01_18 has 0 within bounding box\n",
      "2021_01_08 has 0 within bounding box\n",
      "2021_01_05 has 51 within bounding box\n",
      "2021_01_06 has 7 within bounding box\n",
      "2021_01_03 has 2 within bounding box\n",
      "2021_01_07 has 0 within bounding box\n",
      "2021_01_19 has 39 within bounding box\n",
      "2021_01_04 has 0 within bounding box\n",
      "2021_01_20 has 54 within bounding box\n",
      "2021_01_01 has 37 within bounding box\n"
     ]
    }
   ],
   "source": [
    "results = {}\n",
    "for f in glob.glob(local_dir + '/vessel/AIS*.csv'):\n",
    "    res =get_vessel_activity(f)\n",
    "    results[f] = res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "8029a4aa-c826-401e-a874-ebb61200fda4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021_01_09 has 1 vessels within bounding box\n",
      "2021_01_02 has 1 vessels within bounding box\n",
      "2021_01_11 has 3 vessels within bounding box\n",
      "2021_01_12 has 1 vessels within bounding box\n",
      "2021_01_15 has 1 vessels within bounding box\n",
      "2021_01_13 has 2 vessels within bounding box\n",
      "2021_01_14 has 0 vessels within bounding box\n",
      "2021_01_17 has 0 vessels within bounding box\n",
      "2021_01_16 has 0 vessels within bounding box\n",
      "2021_01_18 has 0 vessels within bounding box\n",
      "2021_01_08 has 0 vessels within bounding box\n",
      "2021_01_05 has 1 vessels within bounding box\n",
      "2021_01_06 has 1 vessels within bounding box\n",
      "2021_01_03 has 1 vessels within bounding box\n",
      "2021_01_07 has 0 vessels within bounding box\n",
      "2021_01_19 has 2 vessels within bounding box\n",
      "2021_01_04 has 0 vessels within bounding box\n",
      "2021_01_20 has 2 vessels within bounding box\n",
      "2021_01_01 has 1 vessels within bounding box\n"
     ]
    }
   ],
   "source": [
    "for d, res in results.items():\n",
    "    date = os.path.basename(d)[4:-4]\n",
    "    unique_vessels = len(res['MMSI'].unique())\n",
    "    print(f\"{date} has {unique_vessels} vessels within bounding box\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "5f1ed379-f7ce-4246-8280-0a0ca459d3c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "      <th>LAT</th>\n",
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       "      <th>SOG</th>\n",
       "      <th>COG</th>\n",
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       "      <th>CallSign</th>\n",
       "      <th>VesselType</th>\n",
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       "      <th>Length</th>\n",
       "      <th>Width</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>6221987</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:08:01</td>\n",
       "      <td>36.94728</td>\n",
       "      <td>-122.01049</td>\n",
       "      <td>8.6</td>\n",
       "      <td>252.0</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3046747</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:09:33</td>\n",
       "      <td>36.94582</td>\n",
       "      <td>-122.01540</td>\n",
       "      <td>9.6</td>\n",
       "      <td>249.2</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3052338</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:11:02</td>\n",
       "      <td>36.94447</td>\n",
       "      <td>-122.02015</td>\n",
       "      <td>9.5</td>\n",
       "      <td>251.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3154690</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:12:32</td>\n",
       "      <td>36.94303</td>\n",
       "      <td>-122.02493</td>\n",
       "      <td>9.5</td>\n",
       "      <td>251.8</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3090710</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:15:01</td>\n",
       "      <td>36.94067</td>\n",
       "      <td>-122.03288</td>\n",
       "      <td>9.9</td>\n",
       "      <td>250.8</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3169913</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:16:32</td>\n",
       "      <td>36.93923</td>\n",
       "      <td>-122.03764</td>\n",
       "      <td>10.4</td>\n",
       "      <td>246.5</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3106447</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:18:33</td>\n",
       "      <td>36.93728</td>\n",
       "      <td>-122.04410</td>\n",
       "      <td>9.2</td>\n",
       "      <td>251.3</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3113255</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:20:01</td>\n",
       "      <td>36.93597</td>\n",
       "      <td>-122.04860</td>\n",
       "      <td>9.4</td>\n",
       "      <td>250.3</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3077041</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:21:31</td>\n",
       "      <td>36.93451</td>\n",
       "      <td>-122.05346</td>\n",
       "      <td>9.9</td>\n",
       "      <td>253.1</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3080058</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:22:33</td>\n",
       "      <td>36.93357</td>\n",
       "      <td>-122.05670</td>\n",
       "      <td>9.5</td>\n",
       "      <td>250.3</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3193769</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:24:01</td>\n",
       "      <td>36.93220</td>\n",
       "      <td>-122.06143</td>\n",
       "      <td>10.1</td>\n",
       "      <td>249.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3090681</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:25:31</td>\n",
       "      <td>36.93122</td>\n",
       "      <td>-122.06631</td>\n",
       "      <td>9.0</td>\n",
       "      <td>269.3</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3113243</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:27:02</td>\n",
       "      <td>36.93087</td>\n",
       "      <td>-122.07144</td>\n",
       "      <td>10.8</td>\n",
       "      <td>262.6</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3113250</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:28:31</td>\n",
       "      <td>36.93052</td>\n",
       "      <td>-122.07642</td>\n",
       "      <td>10.2</td>\n",
       "      <td>262.3</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3124290</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:30:31</td>\n",
       "      <td>36.92999</td>\n",
       "      <td>-122.08318</td>\n",
       "      <td>10.0</td>\n",
       "      <td>265.6</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3117040</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:32:01</td>\n",
       "      <td>36.92963</td>\n",
       "      <td>-122.08826</td>\n",
       "      <td>9.3</td>\n",
       "      <td>260.0</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3140733</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:33:31</td>\n",
       "      <td>36.92930</td>\n",
       "      <td>-122.09333</td>\n",
       "      <td>9.5</td>\n",
       "      <td>269.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6238831</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:34:33</td>\n",
       "      <td>36.92900</td>\n",
       "      <td>-122.09680</td>\n",
       "      <td>10.3</td>\n",
       "      <td>263.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3131955</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:36:01</td>\n",
       "      <td>36.92859</td>\n",
       "      <td>-122.10164</td>\n",
       "      <td>9.3</td>\n",
       "      <td>266.3</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3151097</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:37:32</td>\n",
       "      <td>36.92817</td>\n",
       "      <td>-122.10675</td>\n",
       "      <td>9.6</td>\n",
       "      <td>265.6</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6241108</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:39:02</td>\n",
       "      <td>36.92772</td>\n",
       "      <td>-122.11177</td>\n",
       "      <td>10.1</td>\n",
       "      <td>269.0</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3151127</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:41:01</td>\n",
       "      <td>36.92700</td>\n",
       "      <td>-122.11849</td>\n",
       "      <td>9.9</td>\n",
       "      <td>266.1</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183647</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:43:00</td>\n",
       "      <td>36.92616</td>\n",
       "      <td>-122.12529</td>\n",
       "      <td>9.9</td>\n",
       "      <td>263.4</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3158240</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:44:01</td>\n",
       "      <td>36.92582</td>\n",
       "      <td>-122.12870</td>\n",
       "      <td>10.0</td>\n",
       "      <td>265.4</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3193566</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:46:00</td>\n",
       "      <td>36.92518</td>\n",
       "      <td>-122.13565</td>\n",
       "      <td>10.1</td>\n",
       "      <td>264.6</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3281606</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:47:01</td>\n",
       "      <td>36.92489</td>\n",
       "      <td>-122.13906</td>\n",
       "      <td>11.1</td>\n",
       "      <td>269.1</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183669</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:49:01</td>\n",
       "      <td>36.92431</td>\n",
       "      <td>-122.14621</td>\n",
       "      <td>10.7</td>\n",
       "      <td>264.1</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183673</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:50:02</td>\n",
       "      <td>36.92395</td>\n",
       "      <td>-122.14982</td>\n",
       "      <td>10.3</td>\n",
       "      <td>258.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3198293</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:51:30</td>\n",
       "      <td>36.92344</td>\n",
       "      <td>-122.15495</td>\n",
       "      <td>10.7</td>\n",
       "      <td>259.6</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3202000</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:52:31</td>\n",
       "      <td>36.92314</td>\n",
       "      <td>-122.15849</td>\n",
       "      <td>9.3</td>\n",
       "      <td>265.5</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3208573</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:53:33</td>\n",
       "      <td>36.92278</td>\n",
       "      <td>-122.16212</td>\n",
       "      <td>10.6</td>\n",
       "      <td>260.3</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3228794</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:55:03</td>\n",
       "      <td>36.92228</td>\n",
       "      <td>-122.16744</td>\n",
       "      <td>10.5</td>\n",
       "      <td>260.2</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3271740</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:56:31</td>\n",
       "      <td>36.92172</td>\n",
       "      <td>-122.17261</td>\n",
       "      <td>10.8</td>\n",
       "      <td>261.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3275613</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:58:01</td>\n",
       "      <td>36.92112</td>\n",
       "      <td>-122.17789</td>\n",
       "      <td>10.8</td>\n",
       "      <td>261.4</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3347428</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:59:33</td>\n",
       "      <td>36.92047</td>\n",
       "      <td>-122.18330</td>\n",
       "      <td>10.2</td>\n",
       "      <td>259.5</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       "2994055  367528290 2021-01-01 13:02:33  36.95813 -122.00139   7.7  190.2   \n",
       "3050911  367528290 2021-01-01 13:06:01  36.95054 -122.00596   9.2  213.8   \n",
       "6221987  367528290 2021-01-01 13:08:01  36.94728 -122.01049   8.6  252.0   \n",
       "3046747  367528290 2021-01-01 13:09:33  36.94582 -122.01540   9.6  249.2   \n",
       "3052338  367528290 2021-01-01 13:11:02  36.94447 -122.02015   9.5  251.7   \n",
       "3154690  367528290 2021-01-01 13:12:32  36.94303 -122.02493   9.5  251.8   \n",
       "3090710  367528290 2021-01-01 13:15:01  36.94067 -122.03288   9.9  250.8   \n",
       "3169913  367528290 2021-01-01 13:16:32  36.93923 -122.03764  10.4  246.5   \n",
       "3106447  367528290 2021-01-01 13:18:33  36.93728 -122.04410   9.2  251.3   \n",
       "3113255  367528290 2021-01-01 13:20:01  36.93597 -122.04860   9.4  250.3   \n",
       "3077041  367528290 2021-01-01 13:21:31  36.93451 -122.05346   9.9  253.1   \n",
       "3080058  367528290 2021-01-01 13:22:33  36.93357 -122.05670   9.5  250.3   \n",
       "3193769  367528290 2021-01-01 13:24:01  36.93220 -122.06143  10.1  249.7   \n",
       "3090681  367528290 2021-01-01 13:25:31  36.93122 -122.06631   9.0  269.3   \n",
       "3113243  367528290 2021-01-01 13:27:02  36.93087 -122.07144  10.8  262.6   \n",
       "3113250  367528290 2021-01-01 13:28:31  36.93052 -122.07642  10.2  262.3   \n",
       "3124290  367528290 2021-01-01 13:30:31  36.92999 -122.08318  10.0  265.6   \n",
       "3117040  367528290 2021-01-01 13:32:01  36.92963 -122.08826   9.3  260.0   \n",
       "3140733  367528290 2021-01-01 13:33:31  36.92930 -122.09333   9.5  269.7   \n",
       "6238831  367528290 2021-01-01 13:34:33  36.92900 -122.09680  10.3  263.7   \n",
       "3131955  367528290 2021-01-01 13:36:01  36.92859 -122.10164   9.3  266.3   \n",
       "3151097  367528290 2021-01-01 13:37:32  36.92817 -122.10675   9.6  265.6   \n",
       "6241108  367528290 2021-01-01 13:39:02  36.92772 -122.11177  10.1  269.0   \n",
       "3151127  367528290 2021-01-01 13:41:01  36.92700 -122.11849   9.9  266.1   \n",
       "3183647  367528290 2021-01-01 13:43:00  36.92616 -122.12529   9.9  263.4   \n",
       "3158240  367528290 2021-01-01 13:44:01  36.92582 -122.12870  10.0  265.4   \n",
       "3193566  367528290 2021-01-01 13:46:00  36.92518 -122.13565  10.1  264.6   \n",
       "3281606  367528290 2021-01-01 13:47:01  36.92489 -122.13906  11.1  269.1   \n",
       "3183669  367528290 2021-01-01 13:49:01  36.92431 -122.14621  10.7  264.1   \n",
       "3183673  367528290 2021-01-01 13:50:02  36.92395 -122.14982  10.3  258.7   \n",
       "3198293  367528290 2021-01-01 13:51:30  36.92344 -122.15495  10.7  259.6   \n",
       "3202000  367528290 2021-01-01 13:52:31  36.92314 -122.15849   9.3  265.5   \n",
       "3208573  367528290 2021-01-01 13:53:33  36.92278 -122.16212  10.6  260.3   \n",
       "3228794  367528290 2021-01-01 13:55:03  36.92228 -122.16744  10.5  260.2   \n",
       "3271740  367528290 2021-01-01 13:56:31  36.92172 -122.17261  10.8  261.7   \n",
       "3275613  367528290 2021-01-01 13:58:01  36.92112 -122.17789  10.8  261.4   \n",
       "3347428  367528290 2021-01-01 13:59:33  36.92047 -122.18330  10.2  259.5   \n",
       "\n",
       "         Heading    VesselName IMO CallSign  VesselType  Status  Length  \\\n",
       "2994055    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3050911    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "6221987    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3046747    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3052338    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3154690    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3090710    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3169913    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3106447    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3113255    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3077041    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3080058    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3193769    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3090681    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3113243    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3113250    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3124290    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3117040    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3140733    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "6238831    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3131955    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3151097    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "6241108    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3151127    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3183647    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3158240    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3193566    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3281606    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3183669    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3183673    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3198293    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3202000    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3208573    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3228794    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3271740    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3275613    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3347428    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "\n",
       "         Width  Draft  Cargo TranscieverClass  \n",
       "2994055    NaN    NaN    NaN                B  \n",
       "3050911    NaN    NaN    NaN                B  \n",
       "6221987    NaN    NaN    NaN                B  \n",
       "3046747    NaN    NaN    NaN                B  \n",
       "3052338    NaN    NaN    NaN                B  \n",
       "3154690    NaN    NaN    NaN                B  \n",
       "3090710    NaN    NaN    NaN                B  \n",
       "3169913    NaN    NaN    NaN                B  \n",
       "3106447    NaN    NaN    NaN                B  \n",
       "3113255    NaN    NaN    NaN                B  \n",
       "3077041    NaN    NaN    NaN                B  \n",
       "3080058    NaN    NaN    NaN                B  \n",
       "3193769    NaN    NaN    NaN                B  \n",
       "3090681    NaN    NaN    NaN                B  \n",
       "3113243    NaN    NaN    NaN                B  \n",
       "3113250    NaN    NaN    NaN                B  \n",
       "3124290    NaN    NaN    NaN                B  \n",
       "3117040    NaN    NaN    NaN                B  \n",
       "3140733    NaN    NaN    NaN                B  \n",
       "6238831    NaN    NaN    NaN                B  \n",
       "3131955    NaN    NaN    NaN                B  \n",
       "3151097    NaN    NaN    NaN                B  \n",
       "6241108    NaN    NaN    NaN                B  \n",
       "3151127    NaN    NaN    NaN                B  \n",
       "3183647    NaN    NaN    NaN                B  \n",
       "3158240    NaN    NaN    NaN                B  \n",
       "3193566    NaN    NaN    NaN                B  \n",
       "3281606    NaN    NaN    NaN                B  \n",
       "3183669    NaN    NaN    NaN                B  \n",
       "3183673    NaN    NaN    NaN                B  \n",
       "3198293    NaN    NaN    NaN                B  \n",
       "3202000    NaN    NaN    NaN                B  \n",
       "3208573    NaN    NaN    NaN                B  \n",
       "3228794    NaN    NaN    NaN                B  \n",
       "3271740    NaN    NaN    NaN                B  \n",
       "3275613    NaN    NaN    NaN                B  \n",
       "3347428    NaN    NaN    NaN                B  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results[local_dir+'/vessel/AIS_2021_01_01.csv'].sort_values('BaseDateTime')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "49ffa336-cff5-4016-aa8c-992d999f8b93",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_09.csv':               MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       " 3457827  367528290 2021-01-09 13:03:43  36.93324 -122.18364  11.7  279.8   \n",
       " 3480535  367528290 2021-01-09 13:06:14  36.93339 -122.19302  11.7  269.6   \n",
       " 3493044  367528290 2021-01-09 13:08:45  36.93337 -122.20243  10.8  269.0   \n",
       " 3510310  367528290 2021-01-09 13:11:43  36.93316 -122.21353  11.1  268.7   \n",
       " 3510399  367528290 2021-01-09 13:12:44  36.93310 -122.21725  11.5  269.1   \n",
       " 3510418  367528290 2021-01-09 13:02:14  36.93310 -122.17813   9.9  269.4   \n",
       " 3525622  367528290 2021-01-09 13:15:15  36.93296 -122.22660   9.7  269.0   \n",
       " 3531304  367528290 2021-01-09 13:20:43  36.93268 -122.24698  10.8  271.9   \n",
       " 3542114  367528290 2021-01-09 13:19:15  36.93272 -122.24145  11.1  272.6   \n",
       " 3544657  367528290 2021-01-09 13:10:14  36.93328 -122.20799  10.0  267.4   \n",
       " 3552247  367528290 2021-01-09 13:25:14  36.93240 -122.26378  11.3  265.5   \n",
       " 3554946  367528290 2021-01-09 13:22:13  36.93259 -122.25248  11.6  270.6   \n",
       " 3579298  367528290 2021-01-09 13:16:44  36.93284 -122.23215  11.1  267.1   \n",
       " 3582652  367528290 2021-01-09 13:18:14  36.93277 -122.23768  10.6  266.1   \n",
       " 3586221  367528290 2021-01-09 13:32:43  36.93146 -122.29180  11.2  271.8   \n",
       " 3596032  367528290 2021-01-09 13:34:14  36.93130 -122.29755  10.8  269.1   \n",
       " 3602381  367528290 2021-01-09 13:35:43  36.93098 -122.30309  12.0  271.9   \n",
       " 3612046  367528290 2021-01-09 13:38:14  36.93055 -122.31260  10.1  267.2   \n",
       " 3621239  367528290 2021-01-09 13:39:44  36.93032 -122.31838  10.7  268.1   \n",
       " 3627935  367528290 2021-01-09 13:28:14  36.93200 -122.27496  10.9  269.0   \n",
       " 3630819  367528290 2021-01-09 13:41:14  36.93002 -122.32389   9.6  258.4   \n",
       " 3633435  367528290 2021-01-09 13:29:45  36.93182 -122.28066  10.8  269.1   \n",
       " 3660171  367528290 2021-01-09 13:48:43  36.92836 -122.35224  12.2  272.5   \n",
       " 3670992  367528290 2021-01-09 13:50:14  36.92800 -122.35788  11.1  260.0   \n",
       " 3692940  367528290 2021-01-09 13:51:44  36.92768 -122.36355  11.0  267.6   \n",
       " 3692968  367528290 2021-01-09 13:55:43  36.92666 -122.37323   1.9  251.1   \n",
       " 3696140  367528290 2021-01-09 13:42:43  36.92975 -122.32952  10.7  259.2   \n",
       " 3705375  367528290 2021-01-09 13:56:44  36.92659 -122.37338   0.8  285.0   \n",
       " 3705384  367528290 2021-01-09 13:53:13  36.92734 -122.36919   9.8  267.9   \n",
       " 3715295  367528290 2021-01-09 13:47:14  36.92876 -122.34658  10.6  263.5   \n",
       " 3715326  367528290 2021-01-09 13:45:43  36.92914 -122.34081  11.3  268.2   \n",
       " 3725052  367528290 2021-01-09 13:59:43  36.92636 -122.37352   1.5  196.9   \n",
       " 3742576  367528290 2021-01-09 13:58:13  36.92648 -122.37346   0.6   62.0   \n",
       " 3745409  367528290 2021-01-09 13:54:16  36.92686 -122.37234   6.1  261.0   \n",
       " 7074803  367528290 2021-01-09 13:00:13  36.93264 -122.17076   9.6  275.9   \n",
       " 7078230  367528290 2021-01-09 13:04:44  36.93327 -122.18743  11.3  266.1   \n",
       " 7081325  367528290 2021-01-09 13:07:15  36.93339 -122.19692  11.7  268.5   \n",
       " 7084550  367528290 2021-01-09 13:14:14  36.93301 -122.22283  11.0  266.9   \n",
       " 7090493  367528290 2021-01-09 13:23:14  36.93258 -122.25635  11.2  270.7   \n",
       " 7094241  367528290 2021-01-09 13:27:13  36.93212 -122.27085  10.3  262.2   \n",
       " 7094332  367528290 2021-01-09 13:31:16  36.93160 -122.28633  10.3  266.9   \n",
       " 7100746  367528290 2021-01-09 13:37:13  36.93071 -122.30878  11.4  271.0   \n",
       " 7103516  367528290 2021-01-09 13:43:44  36.92955 -122.33328  11.6  268.9   \n",
       " \n",
       "          Heading    VesselName IMO CallSign  VesselType  Status  Length  \\\n",
       " 3457827    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3480535    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3493044    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3510310    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3510399    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3510418    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3525622    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3531304    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3542114    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3544657    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3552247    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3554946    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3579298    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3582652    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3586221    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3596032    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3602381    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3612046    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3621239    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3627935    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3630819    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3633435    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3660171    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3670992    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3692940    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3692968    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3696140    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3705375    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3705384    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3715295    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3715326    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3725052    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3742576    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3745409    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 7074803    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 7078230    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 7081325    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 7084550    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 7090493    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 7094241    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 7094332    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 7100746    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 7103516    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " \n",
       "          Width  Draft  Cargo TranscieverClass  \n",
       " 3457827    NaN    NaN    NaN                B  \n",
       " 3480535    NaN    NaN    NaN                B  \n",
       " 3493044    NaN    NaN    NaN                B  \n",
       " 3510310    NaN    NaN    NaN                B  \n",
       " 3510399    NaN    NaN    NaN                B  \n",
       " 3510418    NaN    NaN    NaN                B  \n",
       " 3525622    NaN    NaN    NaN                B  \n",
       " 3531304    NaN    NaN    NaN                B  \n",
       " 3542114    NaN    NaN    NaN                B  \n",
       " 3544657    NaN    NaN    NaN                B  \n",
       " 3552247    NaN    NaN    NaN                B  \n",
       " 3554946    NaN    NaN    NaN                B  \n",
       " 3579298    NaN    NaN    NaN                B  \n",
       " 3582652    NaN    NaN    NaN                B  \n",
       " 3586221    NaN    NaN    NaN                B  \n",
       " 3596032    NaN    NaN    NaN                B  \n",
       " 3602381    NaN    NaN    NaN                B  \n",
       " 3612046    NaN    NaN    NaN                B  \n",
       " 3621239    NaN    NaN    NaN                B  \n",
       " 3627935    NaN    NaN    NaN                B  \n",
       " 3630819    NaN    NaN    NaN                B  \n",
       " 3633435    NaN    NaN    NaN                B  \n",
       " 3660171    NaN    NaN    NaN                B  \n",
       " 3670992    NaN    NaN    NaN                B  \n",
       " 3692940    NaN    NaN    NaN                B  \n",
       " 3692968    NaN    NaN    NaN                B  \n",
       " 3696140    NaN    NaN    NaN                B  \n",
       " 3705375    NaN    NaN    NaN                B  \n",
       " 3705384    NaN    NaN    NaN                B  \n",
       " 3715295    NaN    NaN    NaN                B  \n",
       " 3715326    NaN    NaN    NaN                B  \n",
       " 3725052    NaN    NaN    NaN                B  \n",
       " 3742576    NaN    NaN    NaN                B  \n",
       " 3745409    NaN    NaN    NaN                B  \n",
       " 7074803    NaN    NaN    NaN                B  \n",
       " 7078230    NaN    NaN    NaN                B  \n",
       " 7081325    NaN    NaN    NaN                B  \n",
       " 7084550    NaN    NaN    NaN                B  \n",
       " 7090493    NaN    NaN    NaN                B  \n",
       " 7094241    NaN    NaN    NaN                B  \n",
       " 7094332    NaN    NaN    NaN                B  \n",
       " 7100746    NaN    NaN    NaN                B  \n",
       " 7103516    NaN    NaN    NaN                B  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_02.csv':               MMSI        BaseDateTime       LAT       LON   SOG    COG  \\\n",
       " 3236466  369375000 2021-01-02 13:21:53  36.61055 -122.0021  14.7  225.1   \n",
       " \n",
       "          Heading    VesselName         IMO CallSign  VesselType  Status  \\\n",
       " 3236466    511.0  TEAM O'NEILL  IMO0000000  WDK5259        36.0     NaN   \n",
       " \n",
       "          Length  Width  Draft  Cargo TranscieverClass  \n",
       " 3236466    20.0    9.0    NaN    NaN                B  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_11.csv':               MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       " 3424215  366999655 2021-01-11 13:01:10  36.86520 -122.35150  10.3  333.6   \n",
       " 3428481  366999655 2021-01-11 13:02:18  36.86814 -122.35330  10.2  336.2   \n",
       " 3432298  367457870 2021-01-11 13:03:23  36.80069 -122.13832   6.6  132.7   \n",
       " 3435796  367529450 2021-01-11 13:03:55  36.89137 -122.23430   9.0  127.7   \n",
       " 3439804  366999655 2021-01-11 13:03:28  36.87117 -122.35522  10.1  331.1   \n",
       " ...            ...                 ...       ...        ...   ...    ...   \n",
       " 7125990  366999655 2021-01-11 13:35:09  36.95212 -122.40848  10.9  333.9   \n",
       " 7129440  367457870 2021-01-11 13:42:22  36.78344 -122.04956   5.7   94.0   \n",
       " 7133122  367457870 2021-01-11 13:47:25  36.78288 -122.03655   8.0   94.7   \n",
       " 7138040  367457870 2021-01-11 13:52:54  36.78214 -122.02217   7.5   93.5   \n",
       " 7138052  367457870 2021-01-11 13:54:22  36.78197 -122.01829   8.3   93.4   \n",
       " \n",
       "          Heading   VesselName         IMO CallSign  VesselType  Status  \\\n",
       " 3424215    511.0  CG BLACKTIP                 NMHU        90.0     0.0   \n",
       " 3428481    511.0  CG BLACKTIP                 NMHU        90.0     0.0   \n",
       " 3432298    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3435796    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3439804    511.0  CG BLACKTIP                 NMHU        90.0     0.0   \n",
       " ...          ...          ...         ...      ...         ...     ...   \n",
       " 7125990    511.0  CG BLACKTIP                 NMHU        90.0     0.0   \n",
       " 7129440    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 7133122    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 7138040    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 7138052    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " \n",
       "          Length  Width  Draft  Cargo TranscieverClass  \n",
       " 3424215    26.0    5.0    NaN    NaN                A  \n",
       " 3428481    26.0    5.0    NaN    NaN                A  \n",
       " 3432298    23.0    6.0    NaN    NaN                B  \n",
       " 3435796    24.0    7.0    NaN    NaN                B  \n",
       " 3439804    26.0    5.0    NaN    NaN                A  \n",
       " ...         ...    ...    ...    ...              ...  \n",
       " 7125990    26.0    5.0    NaN    NaN                A  \n",
       " 7129440    23.0    6.0    NaN    NaN                B  \n",
       " 7133122    23.0    6.0    NaN    NaN                B  \n",
       " 7138040    23.0    6.0    NaN    NaN                B  \n",
       " 7138052    23.0    6.0    NaN    NaN                B  \n",
       " \n",
       " [121 rows x 17 columns],\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_12.csv':               MMSI        BaseDateTime       LAT        LON  SOG    COG  \\\n",
       " 3559039  367529450 2021-01-12 13:07:35  36.65398 -121.99571  0.3   20.4   \n",
       " 3571206  367529450 2021-01-12 13:13:35  36.65453 -121.99568  0.5   68.0   \n",
       " 3601945  367529450 2021-01-12 13:00:05  36.65375 -121.99616  1.0   86.1   \n",
       " 3611054  367529450 2021-01-12 13:01:36  36.65386 -121.99593  1.1   58.2   \n",
       " 3627439  367529450 2021-01-12 13:27:35  36.65445 -121.99440  0.6  238.3   \n",
       " 3635970  367529450 2021-01-12 13:24:36  36.65457 -121.99455  0.4  282.7   \n",
       " 3662707  367529450 2021-01-12 13:33:35  36.65393 -121.99443  0.5  139.5   \n",
       " 3682395  367529450 2021-01-12 13:04:34  36.65395 -121.99571  0.7  200.0   \n",
       " 3691919  367529450 2021-01-12 13:16:35  36.65480 -121.99538  0.5  108.4   \n",
       " 3715989  367529450 2021-01-12 13:23:35  36.65464 -121.99453  0.6  126.7   \n",
       " 3751591  367529450 2021-01-12 13:30:34  36.65425 -121.99437  0.1    0.0   \n",
       " 3753549  367529450 2021-01-12 13:52:39  36.65203 -121.99251  3.1  311.6   \n",
       " 3762645  367529450 2021-01-12 13:51:34  36.65155 -121.99296  4.3  122.4   \n",
       " 3776949  367529450 2021-01-12 13:54:40  36.65180 -121.99615  8.2  233.7   \n",
       " 3779590  367529450 2021-01-12 13:36:34  36.65374 -121.99454  0.7  225.4   \n",
       " 3779613  367529450 2021-01-12 13:22:34  36.65474 -121.99453  0.6  145.9   \n",
       " 3807448  367529450 2021-01-12 13:42:34  36.65331 -121.99478  0.5  122.1   \n",
       " 3822256  367529450 2021-01-12 13:45:35  36.65305 -121.99484  0.5  114.8   \n",
       " 3832339  367529450 2021-01-12 13:48:34  36.65281 -121.99492  0.4  318.2   \n",
       " 3866575  367529450 2021-01-12 13:57:40  36.64739 -121.99630  5.6  255.5   \n",
       " 3958898  367529450 2021-01-12 13:56:09  36.64919 -121.99586  5.4  161.5   \n",
       " 3973553  367529450 2021-01-12 13:59:09  36.64879 -121.99829  7.8  230.1   \n",
       " 7299013  367529450 2021-01-12 13:39:35  36.65351 -121.99463  0.6  296.7   \n",
       " \n",
       "          Heading   VesselName IMO CallSign  VesselType  Status  Length  Width  \\\n",
       " 3559039    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3571206    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3601945    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3611054    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3627439    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3635970    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3662707    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3682395    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3691919    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3715989    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3751591    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3753549    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3762645    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3776949    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3779590    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3779613    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3807448    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3822256    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3832339    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3866575    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3958898    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 3973553    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " 7299013    511.0  KING PHILIP      WDG3768        30.0     NaN    24.0    7.0   \n",
       " \n",
       "          Draft  Cargo TranscieverClass  \n",
       " 3559039    NaN    NaN                B  \n",
       " 3571206    NaN    NaN                B  \n",
       " 3601945    NaN    NaN                B  \n",
       " 3611054    NaN    NaN                B  \n",
       " 3627439    NaN    NaN                B  \n",
       " 3635970    NaN    NaN                B  \n",
       " 3662707    NaN    NaN                B  \n",
       " 3682395    NaN    NaN                B  \n",
       " 3691919    NaN    NaN                B  \n",
       " 3715989    NaN    NaN                B  \n",
       " 3751591    NaN    NaN                B  \n",
       " 3753549    NaN    NaN                B  \n",
       " 3762645    NaN    NaN                B  \n",
       " 3776949    NaN    NaN                B  \n",
       " 3779590    NaN    NaN                B  \n",
       " 3779613    NaN    NaN                B  \n",
       " 3807448    NaN    NaN                B  \n",
       " 3822256    NaN    NaN                B  \n",
       " 3832339    NaN    NaN                B  \n",
       " 3866575    NaN    NaN                B  \n",
       " 3958898    NaN    NaN                B  \n",
       " 3973553    NaN    NaN                B  \n",
       " 7299013    NaN    NaN                B  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_15.csv':               MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       " 3514417  218092000 2021-01-15 13:56:41  36.47201 -122.30419  10.6  336.7   \n",
       " 3533663  218092000 2021-01-15 13:59:01  36.47829 -122.30755  10.4  335.6   \n",
       " 3574870  218092000 2021-01-15 13:57:50  36.47512 -122.30580  10.5  336.7   \n",
       " 3590489  218092000 2021-01-15 13:54:30  36.46613 -122.30125  10.5  337.6   \n",
       " 3592867  218092000 2021-01-15 13:55:31  36.46884 -122.30258  10.5  338.1   \n",
       " \n",
       "          Heading       VesselName         IMO CallSign  VesselType  Status  \\\n",
       " 3514417    340.0  HANOVER EXPRESS  IMO9343716    DFGX2        70.0     0.0   \n",
       " 3533663    339.0  HANOVER EXPRESS  IMO9343716    DFGX2        70.0     0.0   \n",
       " 3574870    340.0  HANOVER EXPRESS  IMO9343716    DFGX2        70.0     0.0   \n",
       " 3590489    342.0  HANOVER EXPRESS  IMO9343716    DFGX2        70.0     0.0   \n",
       " 3592867    342.0  HANOVER EXPRESS  IMO9343716    DFGX2        70.0     0.0   \n",
       " \n",
       "          Length  Width  Draft  Cargo TranscieverClass  \n",
       " 3514417   336.0   42.0   14.6   79.0                A  \n",
       " 3533663   336.0   42.0   14.6   79.0                A  \n",
       " 3574870   336.0   42.0   14.6   79.0                A  \n",
       " 3590489   336.0   42.0   14.6   79.0                A  \n",
       " 3592867   336.0   42.0   14.6   79.0                A  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_13.csv':               MMSI        BaseDateTime       LAT        LON  SOG   COG  \\\n",
       " 3324518  367529450 2021-01-13 13:01:54  36.66771 -121.95705  8.5  36.1   \n",
       " 3324527  367529450 2021-01-13 13:00:23  36.66489 -121.95976  8.0  34.6   \n",
       " 3336525  367457870 2021-01-13 13:03:09  36.65190 -121.97955  7.3   3.8   \n",
       " 3338941  367529450 2021-01-13 13:03:22  36.67050 -121.95433  8.7  30.5   \n",
       " 3340372  367529450 2021-01-13 13:04:23  36.67236 -121.95237  9.3  52.3   \n",
       " 3342788  367457870 2021-01-13 13:04:40  36.65499 -121.97894  7.6  25.9   \n",
       " 3349382  367529450 2021-01-13 13:06:54  36.67680 -121.94722  8.7  39.7   \n",
       " 3358492  367529450 2021-01-13 13:08:22  36.67936 -121.94408  9.0  50.0   \n",
       " 3361022  367529450 2021-01-13 13:09:23  36.68113 -121.94191  8.7  47.0   \n",
       " 3361793  367457870 2021-01-13 13:10:09  36.66468 -121.97040  8.6  40.7   \n",
       " 3385325  367457870 2021-01-13 13:12:40  36.66886 -121.96592  8.0  44.8   \n",
       " 3388826  367457870 2021-01-13 13:15:41  36.67310 -121.95960  8.2  47.7   \n",
       " 3388857  367457870 2021-01-13 13:14:10  36.67093 -121.96273  7.6  56.1   \n",
       " 3402224  367457870 2021-01-13 13:17:09  36.67517 -121.95647  8.7  51.8   \n",
       " 3405980  367457870 2021-01-13 13:18:10  36.67652 -121.95427  8.2  47.4   \n",
       " 3430192  367457870 2021-01-13 13:23:39  36.68406 -121.94233  7.7  50.1   \n",
       " 3434732  367457870 2021-01-13 13:07:10  36.65941 -121.97548  8.3  34.0   \n",
       " 3448872  367529450 2021-01-13 13:10:53  36.68378 -121.93873  8.0  40.4   \n",
       " 3451331  367529450 2021-01-13 13:11:54  36.68554 -121.93660  8.6  39.9   \n",
       " 3470024  367529450 2021-01-13 13:05:24  36.67415 -121.95029  8.7  44.2   \n",
       " 3475456  367457870 2021-01-13 13:05:41  36.65698 -121.97791  7.7  38.9   \n",
       " 3486253  367457870 2021-01-13 13:21:09  36.68062 -121.94777  8.1  56.8   \n",
       " 3489686  367457870 2021-01-13 13:22:10  36.68206 -121.94558  7.7  51.4   \n",
       " 6945897  367457870 2021-01-13 13:01:12  36.64903 -121.97970  4.5  13.0   \n",
       " 6952532  367457870 2021-01-13 13:08:40  36.66205 -121.97302  8.2  40.0   \n",
       " 6952649  367457870 2021-01-13 13:11:39  36.66723 -121.96769  8.6  59.0   \n",
       " 6957935  367457870 2021-01-13 13:19:39  36.67862 -121.95107  8.1  50.8   \n",
       " 6960515  367457870 2021-01-13 13:25:10  36.68609 -121.93904  7.9  52.4   \n",
       " \n",
       "          Heading   VesselName         IMO CallSign  VesselType  Status  \\\n",
       " 3324518    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3324527    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3336525    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3338941    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3340372    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3342788    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3349382    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3358492    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3361022    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3361793    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3385325    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3388826    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3388857    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3402224    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3405980    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3430192    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3434732    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3448872    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3451331    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3470024    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3475456    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3486253    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 3489686    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 6945897    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 6952532    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 6952649    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 6957935    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " 6960515    511.0     SEA WAVE  IMO8885535  WDF4968        30.0     NaN   \n",
       " \n",
       "          Length  Width  Draft  Cargo TranscieverClass  \n",
       " 3324518    24.0    7.0    NaN    NaN                B  \n",
       " 3324527    24.0    7.0    NaN    NaN                B  \n",
       " 3336525    23.0    6.0    NaN    NaN                B  \n",
       " 3338941    24.0    7.0    NaN    NaN                B  \n",
       " 3340372    24.0    7.0    NaN    NaN                B  \n",
       " 3342788    23.0    6.0    NaN    NaN                B  \n",
       " 3349382    24.0    7.0    NaN    NaN                B  \n",
       " 3358492    24.0    7.0    NaN    NaN                B  \n",
       " 3361022    24.0    7.0    NaN    NaN                B  \n",
       " 3361793    23.0    6.0    NaN    NaN                B  \n",
       " 3385325    23.0    6.0    NaN    NaN                B  \n",
       " 3388826    23.0    6.0    NaN    NaN                B  \n",
       " 3388857    23.0    6.0    NaN    NaN                B  \n",
       " 3402224    23.0    6.0    NaN    NaN                B  \n",
       " 3405980    23.0    6.0    NaN    NaN                B  \n",
       " 3430192    23.0    6.0    NaN    NaN                B  \n",
       " 3434732    23.0    6.0    NaN    NaN                B  \n",
       " 3448872    24.0    7.0    NaN    NaN                B  \n",
       " 3451331    24.0    7.0    NaN    NaN                B  \n",
       " 3470024    24.0    7.0    NaN    NaN                B  \n",
       " 3475456    23.0    6.0    NaN    NaN                B  \n",
       " 3486253    23.0    6.0    NaN    NaN                B  \n",
       " 3489686    23.0    6.0    NaN    NaN                B  \n",
       " 6945897    23.0    6.0    NaN    NaN                B  \n",
       " 6952532    23.0    6.0    NaN    NaN                B  \n",
       " 6952649    23.0    6.0    NaN    NaN                B  \n",
       " 6957935    23.0    6.0    NaN    NaN                B  \n",
       " 6960515    23.0    6.0    NaN    NaN                B  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_14.csv': Empty DataFrame\n",
       " Columns: [MMSI, BaseDateTime, LAT, LON, SOG, COG, Heading, VesselName, IMO, CallSign, VesselType, Status, Length, Width, Draft, Cargo, TranscieverClass]\n",
       " Index: [],\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_17.csv': Empty DataFrame\n",
       " Columns: [MMSI, BaseDateTime, LAT, LON, SOG, COG, Heading, VesselName, IMO, CallSign, VesselType, Status, Length, Width, Draft, Cargo, TranscieverClass]\n",
       " Index: [],\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_16.csv': Empty DataFrame\n",
       " Columns: [MMSI, BaseDateTime, LAT, LON, SOG, COG, Heading, VesselName, IMO, CallSign, VesselType, Status, Length, Width, Draft, Cargo, TranscieverClass]\n",
       " Index: [],\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_18.csv': Empty DataFrame\n",
       " Columns: [MMSI, BaseDateTime, LAT, LON, SOG, COG, Heading, VesselName, IMO, CallSign, VesselType, Status, Length, Width, Draft, Cargo, TranscieverClass]\n",
       " Index: [],\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_08.csv': Empty DataFrame\n",
       " Columns: [MMSI, BaseDateTime, LAT, LON, SOG, COG, Heading, VesselName, IMO, CallSign, VesselType, Status, Length, Width, Draft, Cargo, TranscieverClass]\n",
       " Index: [],\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_05.csv':               MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       " 3507014  565747000 2021-01-05 13:05:55  36.47569 -122.32224  12.3  334.8   \n",
       " 3530976  565747000 2021-01-05 13:08:14  36.48296 -122.32658  12.5  334.7   \n",
       " 3534065  565747000 2021-01-05 13:09:24  36.48656 -122.32868  12.4  334.9   \n",
       " 3534105  565747000 2021-01-05 13:04:45  36.47208 -122.32000  12.3  331.8   \n",
       " 3539536  565747000 2021-01-05 13:11:44  36.49381 -122.33315  12.5  334.3   \n",
       " 3545141  565747000 2021-01-05 13:12:53  36.49751 -122.33540  12.7  332.7   \n",
       " 3550467  565747000 2021-01-05 13:10:34  36.49017 -122.33096  12.6  331.9   \n",
       " 3561890  565747000 2021-01-05 13:15:15  36.50509 -122.34007  12.8  334.0   \n",
       " 3561970  565747000 2021-01-05 13:16:23  36.50878 -122.34228  12.7  334.1   \n",
       " 3565209  565747000 2021-01-05 13:17:25  36.51204 -122.34430  13.1  334.0   \n",
       " 3591915  565747000 2021-01-05 13:19:43  36.51949 -122.34889  13.2  332.9   \n",
       " 3600905  565747000 2021-01-05 13:22:04  36.52712 -122.35359  13.0  332.9   \n",
       " 3603455  565747000 2021-01-05 13:23:13  36.53084 -122.35586  12.7  332.9   \n",
       " 3605847  565747000 2021-01-05 13:24:25  36.53462 -122.35820  12.9  334.6   \n",
       " 3615110  565747000 2021-01-05 13:25:34  36.53836 -122.36053  12.9  333.9   \n",
       " 3619372  565747000 2021-01-05 13:27:55  36.54573 -122.36509  12.5  334.0   \n",
       " 3628631  565747000 2021-01-05 13:29:05  36.54934 -122.36747  12.6  331.4   \n",
       " 3634441  565747000 2021-01-05 13:31:25  36.55660 -122.37208  12.7  333.3   \n",
       " 3634442  565747000 2021-01-05 13:26:44  36.54202 -122.36278  12.6  332.8   \n",
       " 3646276  565747000 2021-01-05 13:33:43  36.56391 -122.37658  12.7  335.6   \n",
       " 3646299  565747000 2021-01-05 13:30:14  36.55291 -122.36981  12.6  333.3   \n",
       " 3680679  565747000 2021-01-05 13:40:43  36.58598 -122.39020  12.9  335.6   \n",
       " 3689375  565747000 2021-01-05 13:42:54  36.59298 -122.39450  13.0  332.2   \n",
       " 3692135  565747000 2021-01-05 13:39:34  36.58223 -122.38794  12.7  336.0   \n",
       " 3698267  565747000 2021-01-05 13:20:53  36.52330 -122.35121  13.2  335.9   \n",
       " 3706919  565747000 2021-01-05 13:41:44  36.58919 -122.39216  12.7  333.4   \n",
       " 3712323  565747000 2021-01-05 13:47:34  36.60767 -122.40426  13.2  334.4   \n",
       " 3714718  565747000 2021-01-05 13:48:44  36.61135 -122.40670  12.9  332.2   \n",
       " 3723246  565747000 2021-01-05 13:49:55  36.61519 -122.40895  12.8  334.6   \n",
       " 3729597  565747000 2021-01-05 13:51:05  36.61903 -122.41111  13.1  334.3   \n",
       " 3745442  565747000 2021-01-05 13:52:15  36.62293 -122.41336  13.2  334.2   \n",
       " 3747701  565747000 2021-01-05 13:55:34  36.63392 -122.42016  13.3  335.4   \n",
       " 3752890  565747000 2021-01-05 13:54:25  36.63005 -122.41775  13.2  332.7   \n",
       " 3752894  565747000 2021-01-05 13:56:43  36.63772 -122.42230  12.8  335.1   \n",
       " 3756541  565747000 2021-01-05 13:18:35  36.51577 -122.34662  12.8  331.6   \n",
       " 3774656  565747000 2021-01-05 13:57:44  36.64104 -122.42413  13.0  334.9   \n",
       " 3778283  565747000 2021-01-05 13:36:03  36.57120 -122.38101  12.6  331.5   \n",
       " 3781285  565747000 2021-01-05 13:37:14  36.57491 -122.38339  12.6  331.3   \n",
       " 3823765  565747000 2021-01-05 13:45:14  36.60030 -122.39923  12.7  331.8   \n",
       " 3833929  565747000 2021-01-05 13:46:23  36.60397 -122.40170  12.9  329.6   \n",
       " 3833949  565747000 2021-01-05 13:34:55  36.56759 -122.37879  12.4  332.7   \n",
       " 3865939  565747000 2021-01-05 13:53:24  36.62674 -122.41561  13.1  333.9   \n",
       " 3898852  565747000 2021-01-05 13:58:45  36.64432 -122.42604  13.0  334.3   \n",
       " 7202820  565747000 2021-01-05 13:02:23  36.46471 -122.31553  12.5  332.5   \n",
       " 7204634  565747000 2021-01-05 13:03:35  36.46845 -122.31776  12.6  333.4   \n",
       " 7207820  565747000 2021-01-05 13:07:04  36.47931 -122.32441  12.5  335.0   \n",
       " 7210948  565747000 2021-01-05 13:14:04  36.50132 -122.33776  13.0  333.8   \n",
       " 7224137  565747000 2021-01-05 13:32:35  36.56028 -122.37440  12.6  334.1   \n",
       " 7229111  565747000 2021-01-05 13:38:23  36.57854 -122.38566  12.7  333.9   \n",
       " 7232392  565747000 2021-01-05 13:44:03  36.59665 -122.39687  12.6  333.8   \n",
       " 7242954  565747000 2021-01-05 13:59:54  36.64812 -122.42830  13.2  336.3   \n",
       " \n",
       "          Heading     VesselName         IMO CallSign  VesselType  Status  \\\n",
       " 3507014    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3530976    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3534065    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3534105    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3539536    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3545141    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3550467    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3561890    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3561970    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3565209    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3591915    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3600905    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3603455    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3605847    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3615110    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3619372    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3628631    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3634441    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3634442    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3646276    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3646299    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3680679    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3689375    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3692135    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3698267    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3706919    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3712323    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3714718    336.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3723246    337.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3729597    336.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3745442    335.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3747701    336.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3752890    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3752894    337.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3756541    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3774656    336.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3778283    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3781285    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3823765    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3833929    332.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3833949    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3865939    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 3898852    335.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 7202820    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 7204634    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 7207820    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 7210948    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 7224137    334.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 7229111    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 7232392    333.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " 7242954    336.0  MAERSK ALFIRK  IMO9342516    9VBN2        70.0     0.0   \n",
       " \n",
       "          Length  Width  Draft  Cargo TranscieverClass  \n",
       " 3507014   337.0   45.0   15.0   71.0                A  \n",
       " 3530976   337.0   45.0   15.0   71.0                A  \n",
       " 3534065   337.0   45.0   15.0   71.0                A  \n",
       " 3534105   337.0   45.0   15.0   71.0                A  \n",
       " 3539536   337.0   45.0   15.0   71.0                A  \n",
       " 3545141   337.0   45.0   15.0   71.0                A  \n",
       " 3550467   337.0   45.0   15.0   71.0                A  \n",
       " 3561890   337.0   45.0   15.0   71.0                A  \n",
       " 3561970   337.0   45.0   15.0   71.0                A  \n",
       " 3565209   337.0   45.0   15.0   71.0                A  \n",
       " 3591915   337.0   45.0   15.0   71.0                A  \n",
       " 3600905   337.0   45.0   15.0   71.0                A  \n",
       " 3603455   337.0   45.0   15.0   71.0                A  \n",
       " 3605847   337.0   45.0   15.0   71.0                A  \n",
       " 3615110   337.0   45.0   15.0   71.0                A  \n",
       " 3619372   337.0   45.0   15.0   71.0                A  \n",
       " 3628631   337.0   45.0   15.0   71.0                A  \n",
       " 3634441   337.0   45.0   15.0   71.0                A  \n",
       " 3634442   337.0   45.0   15.0   71.0                A  \n",
       " 3646276   337.0   45.0   15.0   71.0                A  \n",
       " 3646299   337.0   45.0   15.0   71.0                A  \n",
       " 3680679   337.0   45.0   15.0   71.0                A  \n",
       " 3689375   337.0   45.0   15.0   71.0                A  \n",
       " 3692135   337.0   45.0   15.0   71.0                A  \n",
       " 3698267   337.0   45.0   15.0   71.0                A  \n",
       " 3706919   337.0   45.0   15.0   71.0                A  \n",
       " 3712323   337.0   45.0   15.0   71.0                A  \n",
       " 3714718   337.0   45.0   15.0   71.0                A  \n",
       " 3723246   337.0   45.0   15.0   71.0                A  \n",
       " 3729597   337.0   45.0   15.0   71.0                A  \n",
       " 3745442   337.0   45.0   15.0   71.0                A  \n",
       " 3747701   337.0   45.0   15.0   71.0                A  \n",
       " 3752890   337.0   45.0   15.0   71.0                A  \n",
       " 3752894   337.0   45.0   15.0   71.0                A  \n",
       " 3756541   337.0   45.0   15.0   71.0                A  \n",
       " 3774656   337.0   45.0   15.0   71.0                A  \n",
       " 3778283   337.0   45.0   15.0   71.0                A  \n",
       " 3781285   337.0   45.0   15.0   71.0                A  \n",
       " 3823765   337.0   45.0   15.0   71.0                A  \n",
       " 3833929   337.0   45.0   15.0   71.0                A  \n",
       " 3833949   337.0   45.0   15.0   71.0                A  \n",
       " 3865939   337.0   45.0   15.0   71.0                A  \n",
       " 3898852   337.0   45.0   15.0   71.0                A  \n",
       " 7202820   337.0   45.0   15.0   71.0                A  \n",
       " 7204634   337.0   45.0   15.0   71.0                A  \n",
       " 7207820   337.0   45.0   15.0   71.0                A  \n",
       " 7210948   337.0   45.0   15.0   71.0                A  \n",
       " 7224137   337.0   45.0   15.0   71.0                A  \n",
       " 7229111   337.0   45.0   15.0   71.0                A  \n",
       " 7232392   337.0   45.0   15.0   71.0                A  \n",
       " 7242954   337.0   45.0   15.0   71.0                A  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_06.csv':               MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       " 3803493  538005701 2021-01-06 13:55:44  36.58956 -122.43031  12.1  158.6   \n",
       " 3831394  538005701 2021-01-06 13:52:15  36.60055 -122.43514  12.2  160.5   \n",
       " 3840743  538005701 2021-01-06 13:53:26  36.59680 -122.43350  12.0  159.9   \n",
       " 3848223  538005701 2021-01-06 13:56:55  36.58584 -122.42871  11.8  161.2   \n",
       " 3863826  538005701 2021-01-06 13:59:14  36.57853 -122.42554  12.0  161.5   \n",
       " 3966460  538005701 2021-01-06 13:54:34  36.59323 -122.43191  12.2  161.6   \n",
       " 7337153  538005701 2021-01-06 13:58:05  36.58215 -122.42711  12.0  161.1   \n",
       " \n",
       "          Heading          VesselName         IMO CallSign  VesselType  Status  \\\n",
       " 3803493    161.0  INTERLINK PRIORITY  IMO9721425    V7GE6        70.0     0.0   \n",
       " 3831394    160.0  INTERLINK PRIORITY  IMO9721425    V7GE6        70.0     0.0   \n",
       " 3840743    160.0  INTERLINK PRIORITY  IMO9721425    V7GE6        70.0     0.0   \n",
       " 3848223    161.0  INTERLINK PRIORITY  IMO9721425    V7GE6        70.0     0.0   \n",
       " 3863826    160.0  INTERLINK PRIORITY  IMO9721425    V7GE6        70.0     0.0   \n",
       " 3966460    161.0  INTERLINK PRIORITY  IMO9721425    V7GE6        70.0     0.0   \n",
       " 7337153    161.0  INTERLINK PRIORITY  IMO9721425    V7GE6        70.0     0.0   \n",
       " \n",
       "          Length  Width  Draft  Cargo TranscieverClass  \n",
       " 3803493   179.0    NaN    NaN    NaN                A  \n",
       " 3831394   179.0    NaN    NaN    NaN                A  \n",
       " 3840743   179.0    NaN    NaN    NaN                A  \n",
       " 3848223   179.0    NaN    NaN    NaN                A  \n",
       " 3863826   179.0    NaN    NaN    NaN                A  \n",
       " 3966460   179.0    NaN    NaN    NaN                A  \n",
       " 7337153   179.0    NaN    NaN    NaN                A  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_03.csv':               MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       " 3658539  369375000 2021-01-03 13:37:11  36.57093 -122.08064  12.4  294.7   \n",
       " 3661892  369375000 2021-01-03 13:39:08  36.52620 -122.09857  13.6  293.5   \n",
       " \n",
       "          Heading    VesselName         IMO CallSign  VesselType  Status  \\\n",
       " 3658539    511.0  TEAM O'NEILL  IMO0000000  WDK5259        36.0     NaN   \n",
       " 3661892    511.0  TEAM O'NEILL  IMO0000000  WDK5259        36.0     NaN   \n",
       " \n",
       "          Length  Width  Draft  Cargo TranscieverClass  \n",
       " 3658539    20.0    9.0    NaN    NaN                B  \n",
       " 3661892    20.0    9.0    NaN    NaN                B  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_07.csv': Empty DataFrame\n",
       " Columns: [MMSI, BaseDateTime, LAT, LON, SOG, COG, Heading, VesselName, IMO, CallSign, VesselType, Status, Length, Width, Draft, Cargo, TranscieverClass]\n",
       " Index: [],\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_19.csv':               MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       " 3330156  636014997 2021-01-19 13:29:00  36.46600 -122.32800  11.0  346.3   \n",
       " 3336813  636014997 2021-01-19 13:30:01  36.46900 -122.32900  11.0  345.9   \n",
       " 3336844  636014997 2021-01-19 13:31:07  36.47217 -122.33033  11.1  345.7   \n",
       " 3352504  636014997 2021-01-19 13:33:14  36.47839 -122.33255  10.9  346.2   \n",
       " 3352510  636014997 2021-01-19 13:34:17  36.48148 -122.33369  10.7  346.1   \n",
       " 3369998  636014997 2021-01-19 13:36:24  36.48750 -122.33600  10.7  346.4   \n",
       " 3375146  636014997 2021-01-19 13:32:10  36.47527 -122.33142  10.9  346.5   \n",
       " 3375241  636014997 2021-01-19 13:38:31  36.49350 -122.33833  10.7  344.8   \n",
       " 3394349  636014997 2021-01-19 13:35:20  36.48450 -122.33483  10.7  345.9   \n",
       " 3397614  636014997 2021-01-19 13:37:27  36.49050 -122.33717  10.6  344.7   \n",
       " 3402053  636014997 2021-01-19 13:42:44  36.50533 -122.34300  10.4  344.3   \n",
       " 3404831  636014997 2021-01-19 13:43:48  36.50823 -122.34417  10.3  342.9   \n",
       " 3406912  636014997 2021-01-19 13:45:54  36.51391 -122.34676  10.4  341.6   \n",
       " 3420736  636014997 2021-01-19 13:40:37  36.49950 -122.34050  10.5  344.3   \n",
       " 3420758  636014997 2021-01-19 13:50:04  36.52508 -122.35187  10.1  343.6   \n",
       " 3430658  636014997 2021-01-19 13:44:51  36.51100 -122.34550  10.3  342.8   \n",
       " 3432236  368122590 2021-01-19 13:51:11  36.89795 -122.43505  12.1  126.3   \n",
       " 3446409  368122590 2021-01-19 13:54:19  36.88967 -122.42997  11.3  180.9   \n",
       " 3446515  636014997 2021-01-19 13:46:57  36.51680 -122.34811  10.3  342.1   \n",
       " 3450264  368122590 2021-01-19 13:55:21  36.88690 -122.42837  11.5  177.5   \n",
       " 3456709  636014997 2021-01-19 13:49:01  36.52233 -122.35067  10.1  340.9   \n",
       " 3456727  636014997 2021-01-19 13:51:07  36.52790 -122.35317  10.1  343.6   \n",
       " 3456818  636014997 2021-01-19 13:54:22  36.53637 -122.35698  10.0  344.5   \n",
       " 3459592  636014997 2021-01-19 13:56:28  36.54188 -122.35937   9.9  342.9   \n",
       " 3461340  636014997 2021-01-19 13:57:31  36.54467 -122.36067  10.0  342.1   \n",
       " 3464934  368122590 2021-01-19 13:57:29  36.88103 -122.42487  10.5  136.5   \n",
       " 3467334  368122590 2021-01-19 13:52:14  36.89527 -122.43338  10.7  147.4   \n",
       " 3488131  368122590 2021-01-19 13:58:31  36.87820 -122.42318  10.5  153.3   \n",
       " 3491179  368122590 2021-01-19 13:59:34  36.87543 -122.42155   9.9  172.1   \n",
       " 3505012  636014997 2021-01-19 13:58:41  36.54773 -122.36201   9.9  344.1   \n",
       " 3568399  636014997 2021-01-19 13:41:41  36.50249 -122.34173  10.4  345.2   \n",
       " 3624281  636014997 2021-01-19 13:55:27  36.53917 -122.35817  10.0  343.1   \n",
       " 3629422  368122590 2021-01-19 13:56:23  36.88412 -122.42655  10.9  173.7   \n",
       " 3648667  636014997 2021-01-19 13:59:44  36.55050 -122.36317  10.0  343.9   \n",
       " 6746993  636014997 2021-01-19 13:39:34  36.49651 -122.33943  10.7  344.9   \n",
       " 6752617  636014997 2021-01-19 13:47:58  36.51949 -122.34935  10.2  342.5   \n",
       " 6755417  636014997 2021-01-19 13:52:11  36.53067 -122.35433  10.0  342.5   \n",
       " 6755423  636014997 2021-01-19 13:53:14  36.53339 -122.35564   9.9  343.7   \n",
       " 6758846  368122590 2021-01-19 13:53:17  36.89235 -122.43163   9.5  166.9   \n",
       " \n",
       "          Heading   VesselName         IMO CallSign  VesselType  Status  \\\n",
       " 3330156    347.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3336813    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3336844    347.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3352504    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3352510    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3369998    347.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3375146    347.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3375241    347.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3394349    347.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3397614    347.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3402053    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3404831    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3406912    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3420736    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3420758    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3430658    344.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3432236    154.0                                           NaN     0.0   \n",
       " 3446409    158.0                                           NaN     0.0   \n",
       " 3446515    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3450264    150.0                                           NaN     0.0   \n",
       " 3456709    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3456727    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3456818    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3459592    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3461340    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3464934    156.0                                           NaN     0.0   \n",
       " 3467334    157.0                                           NaN     0.0   \n",
       " 3488131    157.0                                           NaN     0.0   \n",
       " 3491179    153.0                                           NaN     0.0   \n",
       " 3505012    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3568399    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3624281    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 3629422    155.0                                           NaN     0.0   \n",
       " 3648667    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 6746993    347.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 6752617    346.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 6755417    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 6755423    345.0  YM MOBILITY  IMO9457737    A8XY6        70.0     0.0   \n",
       " 6758846    153.0                                           NaN     0.0   \n",
       " \n",
       "          Length  Width  Draft  Cargo TranscieverClass  \n",
       " 3330156   305.0   40.0   14.0    NaN                A  \n",
       " 3336813   305.0   40.0   14.0    NaN                A  \n",
       " 3336844   305.0   40.0   14.0    NaN                A  \n",
       " 3352504   305.0   40.0   14.0    NaN                A  \n",
       " 3352510   305.0   40.0   14.0    NaN                A  \n",
       " 3369998   305.0   40.0   14.0    NaN                A  \n",
       " 3375146   305.0   40.0   14.0    NaN                A  \n",
       " 3375241   305.0   40.0   14.0    NaN                A  \n",
       " 3394349   305.0   40.0   14.0    NaN                A  \n",
       " 3397614   305.0   40.0   14.0    NaN                A  \n",
       " 3402053   305.0   40.0   14.0    NaN                A  \n",
       " 3404831   305.0   40.0   14.0    NaN                A  \n",
       " 3406912   305.0   40.0   14.0    NaN                A  \n",
       " 3420736   305.0   40.0   14.0    NaN                A  \n",
       " 3420758   305.0   40.0   14.0    NaN                A  \n",
       " 3430658   305.0   40.0   14.0    NaN                A  \n",
       " 3432236     NaN    NaN    NaN    NaN                A  \n",
       " 3446409     NaN    NaN    NaN    NaN                A  \n",
       " 3446515   305.0   40.0   14.0    NaN                A  \n",
       " 3450264     NaN    NaN    NaN    NaN                A  \n",
       " 3456709   305.0   40.0   14.0    NaN                A  \n",
       " 3456727   305.0   40.0   14.0    NaN                A  \n",
       " 3456818   305.0   40.0   14.0    NaN                A  \n",
       " 3459592   305.0   40.0   14.0    NaN                A  \n",
       " 3461340   305.0   40.0   14.0    NaN                A  \n",
       " 3464934     NaN    NaN    NaN    NaN                A  \n",
       " 3467334     NaN    NaN    NaN    NaN                A  \n",
       " 3488131     NaN    NaN    NaN    NaN                A  \n",
       " 3491179     NaN    NaN    NaN    NaN                A  \n",
       " 3505012   305.0   40.0   14.0    NaN                A  \n",
       " 3568399   305.0   40.0   14.0    NaN                A  \n",
       " 3624281   305.0   40.0   14.0    NaN                A  \n",
       " 3629422     NaN    NaN    NaN    NaN                A  \n",
       " 3648667   305.0   40.0   14.0    NaN                A  \n",
       " 6746993   305.0   40.0   14.0    NaN                A  \n",
       " 6752617   305.0   40.0   14.0    NaN                A  \n",
       " 6755417   305.0   40.0   14.0    NaN                A  \n",
       " 6755423   305.0   40.0   14.0    NaN                A  \n",
       " 6758846     NaN    NaN    NaN    NaN                A  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_04.csv': Empty DataFrame\n",
       " Columns: [MMSI, BaseDateTime, LAT, LON, SOG, COG, Heading, VesselName, IMO, CallSign, VesselType, Status, Length, Width, Draft, Cargo, TranscieverClass]\n",
       " Index: [],\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_20.csv':               MMSI        BaseDateTime       LAT        LON  SOG    COG  \\\n",
       " 3345721  367744470 2021-01-20 13:00:02  36.78578 -121.97732  5.7   19.8   \n",
       " 3351075  367744470 2021-01-20 13:02:23  36.78849 -121.97452  5.4   55.7   \n",
       " 3353245  367529450 2021-01-20 13:01:22  36.70880 -121.93727  8.2   52.1   \n",
       " 3358822  367744470 2021-01-20 13:03:32  36.78918 -121.97254  5.2   73.0   \n",
       " 3361917  367744470 2021-01-20 13:04:40  36.78920 -121.97052  5.3   97.5   \n",
       " 3366924  367529450 2021-01-20 13:00:21  36.70708 -121.93914  7.4   56.0   \n",
       " 3372267  367744470 2021-01-20 13:01:13  36.78734 -121.97613  5.6   36.2   \n",
       " 3382260  367744470 2021-01-20 13:07:46  36.78605 -121.96684  5.5  170.6   \n",
       " 3389663  367744470 2021-01-20 13:05:42  36.78862 -121.96879  5.3  120.7   \n",
       " 3392870  367744470 2021-01-20 13:09:52  36.78288 -121.96789  5.8  212.0   \n",
       " 3398220  367744470 2021-01-20 13:11:01  36.78157 -121.96950  6.0  231.8   \n",
       " 3398245  367744470 2021-01-20 13:06:45  36.78750 -121.96747  5.4  146.3   \n",
       " 3398435  367744470 2021-01-20 13:08:49  36.78440 -121.96697  5.7  190.7   \n",
       " 3400722  367744470 2021-01-20 13:12:13  36.78069 -121.97173  6.1  249.8   \n",
       " 3416560  367744470 2021-01-20 13:14:32  36.78061 -121.97654  6.3  283.9   \n",
       " 3416598  367744470 2021-01-20 13:13:22  36.78036 -121.97408  5.9  270.5   \n",
       " 3417666  367744470 2021-01-20 13:15:43  36.78144 -121.97877  6.2  302.2   \n",
       " 3425757  367744470 2021-01-20 13:19:03  36.78612 -121.98225  6.0  352.5   \n",
       " 3425919  367744470 2021-01-20 13:16:52  36.78280 -121.98056  6.0  323.0   \n",
       " 3444750  367744470 2021-01-20 13:20:12  36.78794 -121.98213  5.7   11.9   \n",
       " 3444753  367744470 2021-01-20 13:17:53  36.78423 -121.98161  5.9  334.8   \n",
       " 3449948  367744470 2021-01-20 13:22:22  36.79090 -121.98028  5.4   45.6   \n",
       " 3452518  367744470 2021-01-20 13:21:13  36.78947 -121.98152  5.6   25.1   \n",
       " 3454639  367744470 2021-01-20 13:24:35  36.79241 -121.97666  5.3   79.7   \n",
       " 3457753  367744470 2021-01-20 13:23:33  36.79199 -121.97849  5.3   61.7   \n",
       " 3468992  367744470 2021-01-20 13:26:40  36.79153 -121.97316  5.2  128.4   \n",
       " 3473033  367744470 2021-01-20 13:28:46  36.78876 -121.97163  5.4  175.9   \n",
       " 3473049  367744470 2021-01-20 13:25:39  36.79225 -121.97475  5.3  105.4   \n",
       " 3477381  367744470 2021-01-20 13:27:42  36.79029 -121.97202  5.4  154.0   \n",
       " 3479287  367744470 2021-01-20 13:30:52  36.78574 -121.97314  5.8  221.3   \n",
       " 3482627  367744470 2021-01-20 13:29:49  36.78714 -121.97201  5.7  201.8   \n",
       " 3492571  367744470 2021-01-20 13:34:05  36.78674 -121.97741  5.1   21.4   \n",
       " 3494340  367744470 2021-01-20 13:31:59  36.78480 -121.97504  5.9  257.5   \n",
       " 3505163  367744470 2021-01-20 13:33:03  36.78527 -121.97704  5.9  308.2   \n",
       " 3506662  367744470 2021-01-20 13:35:06  36.78748 -121.97603  4.9   74.5   \n",
       " 3516921  367744470 2021-01-20 13:39:33  36.78822 -121.96802  5.1   82.7   \n",
       " 3516955  367744470 2021-01-20 13:38:22  36.78802 -121.97016  5.2   84.5   \n",
       " 3519904  367744470 2021-01-20 13:36:12  36.78767 -121.97406  5.1   81.5   \n",
       " 3523402  367744470 2021-01-20 13:41:52  36.78860 -121.96383  5.2   83.4   \n",
       " 3528409  367744470 2021-01-20 13:40:42  36.78842 -121.96593  5.2   83.9   \n",
       " 3528498  367744470 2021-01-20 13:43:03  36.78878 -121.96172  5.1   83.3   \n",
       " 3535803  367744470 2021-01-20 13:45:22  36.78916 -121.95745  5.3   82.1   \n",
       " 3540635  367744470 2021-01-20 13:44:13  36.78897 -121.95956  5.3   84.6   \n",
       " 3558309  367744470 2021-01-20 13:48:42  36.78966 -121.95132  5.3   83.8   \n",
       " 3561584  367744470 2021-01-20 13:46:32  36.78932 -121.95531  5.4   84.2   \n",
       " 3561618  367744470 2021-01-20 13:51:03  36.78999 -121.94694  5.4   83.3   \n",
       " 3567592  367744470 2021-01-20 13:47:33  36.78948 -121.95347  5.3   83.3   \n",
       " 3579838  367744470 2021-01-20 13:53:22  36.79033 -121.94262  5.5   84.8   \n",
       " 3579855  367744470 2021-01-20 13:52:12  36.79014 -121.94484  5.4   85.7   \n",
       " 3584541  367744470 2021-01-20 13:55:43  36.79064 -121.93821  5.4   83.9   \n",
       " 3587235  367744470 2021-01-20 13:49:53  36.78982 -121.94914  5.5   84.7   \n",
       " 3591273  367744470 2021-01-20 13:54:33  36.79048 -121.94044  5.3   85.8   \n",
       " 3595174  367744470 2021-01-20 13:56:52  36.79081 -121.93608  5.4   82.5   \n",
       " 6807254  367744470 2021-01-20 13:37:13  36.78782 -121.97223  5.2   84.4   \n",
       " \n",
       "          Heading   VesselName         IMO CallSign  VesselType  Status  \\\n",
       " 3345721     25.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3351075     58.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3353245    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3358822     78.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3361917    100.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3366924    511.0  KING PHILIP              WDG3768        30.0     NaN   \n",
       " 3372267     43.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3382260    167.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3389663    120.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3392870    208.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3398220    227.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3398245    143.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3398435    189.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3400722    248.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3416560    283.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3416598    263.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3417666    302.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3425757    355.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3425919    323.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3444750     14.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3444753    338.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3449948     47.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3452518     28.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3454639     86.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3457753     66.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3468992    128.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3473033    174.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3473049    106.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3477381    152.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3479287    214.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3482627    198.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3492571     32.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3494340    259.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3505163    316.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3506662     82.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3516921     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3516955     85.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3519904     85.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3523402     86.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3528409     85.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3528498     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3535803     85.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3540635     85.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3558309     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3561584     86.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3561618     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3567592     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3579838     85.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3579855     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3584541     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3587235     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3591273     85.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 3595174     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " 6807254     84.0      BLARNEY  IMO9068809  WDI9019        31.0     0.0   \n",
       " \n",
       "          Length  Width  Draft  Cargo TranscieverClass  \n",
       " 3345721    26.0    7.0    3.0   32.0                A  \n",
       " 3351075    26.0    7.0    3.0   32.0                A  \n",
       " 3353245    24.0    7.0    NaN    NaN                B  \n",
       " 3358822    26.0    7.0    3.0   32.0                A  \n",
       " 3361917    26.0    7.0    3.0   32.0                A  \n",
       " 3366924    24.0    7.0    NaN    NaN                B  \n",
       " 3372267    26.0    7.0    3.0   32.0                A  \n",
       " 3382260    26.0    7.0    3.0   32.0                A  \n",
       " 3389663    26.0    7.0    3.0   32.0                A  \n",
       " 3392870    26.0    7.0    3.0   32.0                A  \n",
       " 3398220    26.0    7.0    3.0   32.0                A  \n",
       " 3398245    26.0    7.0    3.0   32.0                A  \n",
       " 3398435    26.0    7.0    3.0   32.0                A  \n",
       " 3400722    26.0    7.0    3.0   32.0                A  \n",
       " 3416560    26.0    7.0    3.0   32.0                A  \n",
       " 3416598    26.0    7.0    3.0   32.0                A  \n",
       " 3417666    26.0    7.0    3.0   32.0                A  \n",
       " 3425757    26.0    7.0    3.0   32.0                A  \n",
       " 3425919    26.0    7.0    3.0   32.0                A  \n",
       " 3444750    26.0    7.0    3.0   32.0                A  \n",
       " 3444753    26.0    7.0    3.0   32.0                A  \n",
       " 3449948    26.0    7.0    3.0   32.0                A  \n",
       " 3452518    26.0    7.0    3.0   32.0                A  \n",
       " 3454639    26.0    7.0    3.0   32.0                A  \n",
       " 3457753    26.0    7.0    3.0   32.0                A  \n",
       " 3468992    26.0    7.0    3.0   32.0                A  \n",
       " 3473033    26.0    7.0    3.0   32.0                A  \n",
       " 3473049    26.0    7.0    3.0   32.0                A  \n",
       " 3477381    26.0    7.0    3.0   32.0                A  \n",
       " 3479287    26.0    7.0    3.0   32.0                A  \n",
       " 3482627    26.0    7.0    3.0   32.0                A  \n",
       " 3492571    26.0    7.0    3.0   32.0                A  \n",
       " 3494340    26.0    7.0    3.0   32.0                A  \n",
       " 3505163    26.0    7.0    3.0   32.0                A  \n",
       " 3506662    26.0    7.0    3.0   32.0                A  \n",
       " 3516921    26.0    7.0    3.0   32.0                A  \n",
       " 3516955    26.0    7.0    3.0   32.0                A  \n",
       " 3519904    26.0    7.0    3.0   32.0                A  \n",
       " 3523402    26.0    7.0    3.0   32.0                A  \n",
       " 3528409    26.0    7.0    3.0   32.0                A  \n",
       " 3528498    26.0    7.0    3.0   32.0                A  \n",
       " 3535803    26.0    7.0    3.0   32.0                A  \n",
       " 3540635    26.0    7.0    3.0   32.0                A  \n",
       " 3558309    26.0    7.0    3.0   32.0                A  \n",
       " 3561584    26.0    7.0    3.0   32.0                A  \n",
       " 3561618    26.0    7.0    3.0   32.0                A  \n",
       " 3567592    26.0    7.0    3.0   32.0                A  \n",
       " 3579838    26.0    7.0    3.0   32.0                A  \n",
       " 3579855    26.0    7.0    3.0   32.0                A  \n",
       " 3584541    26.0    7.0    3.0   32.0                A  \n",
       " 3587235    26.0    7.0    3.0   32.0                A  \n",
       " 3591273    26.0    7.0    3.0   32.0                A  \n",
       " 3595174    26.0    7.0    3.0   32.0                A  \n",
       " 6807254    26.0    7.0    3.0   32.0                A  ,\n",
       " '/Volumes/LuMas2324/OHW23_data/california-pam//vessel/AIS_2021_01_01.csv':               MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       " 2994055  367528290 2021-01-01 13:02:33  36.95813 -122.00139   7.7  190.2   \n",
       " 3046747  367528290 2021-01-01 13:09:33  36.94582 -122.01540   9.6  249.2   \n",
       " 3050911  367528290 2021-01-01 13:06:01  36.95054 -122.00596   9.2  213.8   \n",
       " 3052338  367528290 2021-01-01 13:11:02  36.94447 -122.02015   9.5  251.7   \n",
       " 3077041  367528290 2021-01-01 13:21:31  36.93451 -122.05346   9.9  253.1   \n",
       " 3080058  367528290 2021-01-01 13:22:33  36.93357 -122.05670   9.5  250.3   \n",
       " 3090681  367528290 2021-01-01 13:25:31  36.93122 -122.06631   9.0  269.3   \n",
       " 3090710  367528290 2021-01-01 13:15:01  36.94067 -122.03288   9.9  250.8   \n",
       " 3106447  367528290 2021-01-01 13:18:33  36.93728 -122.04410   9.2  251.3   \n",
       " 3113243  367528290 2021-01-01 13:27:02  36.93087 -122.07144  10.8  262.6   \n",
       " 3113250  367528290 2021-01-01 13:28:31  36.93052 -122.07642  10.2  262.3   \n",
       " 3113255  367528290 2021-01-01 13:20:01  36.93597 -122.04860   9.4  250.3   \n",
       " 3117040  367528290 2021-01-01 13:32:01  36.92963 -122.08826   9.3  260.0   \n",
       " 3124290  367528290 2021-01-01 13:30:31  36.92999 -122.08318  10.0  265.6   \n",
       " 3131955  367528290 2021-01-01 13:36:01  36.92859 -122.10164   9.3  266.3   \n",
       " 3140733  367528290 2021-01-01 13:33:31  36.92930 -122.09333   9.5  269.7   \n",
       " 3151097  367528290 2021-01-01 13:37:32  36.92817 -122.10675   9.6  265.6   \n",
       " 3151127  367528290 2021-01-01 13:41:01  36.92700 -122.11849   9.9  266.1   \n",
       " 3154690  367528290 2021-01-01 13:12:32  36.94303 -122.02493   9.5  251.8   \n",
       " 3158240  367528290 2021-01-01 13:44:01  36.92582 -122.12870  10.0  265.4   \n",
       " 3169913  367528290 2021-01-01 13:16:32  36.93923 -122.03764  10.4  246.5   \n",
       " 3183647  367528290 2021-01-01 13:43:00  36.92616 -122.12529   9.9  263.4   \n",
       " 3183669  367528290 2021-01-01 13:49:01  36.92431 -122.14621  10.7  264.1   \n",
       " 3183673  367528290 2021-01-01 13:50:02  36.92395 -122.14982  10.3  258.7   \n",
       " 3193566  367528290 2021-01-01 13:46:00  36.92518 -122.13565  10.1  264.6   \n",
       " 3193769  367528290 2021-01-01 13:24:01  36.93220 -122.06143  10.1  249.7   \n",
       " 3198293  367528290 2021-01-01 13:51:30  36.92344 -122.15495  10.7  259.6   \n",
       " 3202000  367528290 2021-01-01 13:52:31  36.92314 -122.15849   9.3  265.5   \n",
       " 3208573  367528290 2021-01-01 13:53:33  36.92278 -122.16212  10.6  260.3   \n",
       " 3228794  367528290 2021-01-01 13:55:03  36.92228 -122.16744  10.5  260.2   \n",
       " 3271740  367528290 2021-01-01 13:56:31  36.92172 -122.17261  10.8  261.7   \n",
       " 3275613  367528290 2021-01-01 13:58:01  36.92112 -122.17789  10.8  261.4   \n",
       " 3281606  367528290 2021-01-01 13:47:01  36.92489 -122.13906  11.1  269.1   \n",
       " 3347428  367528290 2021-01-01 13:59:33  36.92047 -122.18330  10.2  259.5   \n",
       " 6221987  367528290 2021-01-01 13:08:01  36.94728 -122.01049   8.6  252.0   \n",
       " 6238831  367528290 2021-01-01 13:34:33  36.92900 -122.09680  10.3  263.7   \n",
       " 6241108  367528290 2021-01-01 13:39:02  36.92772 -122.11177  10.1  269.0   \n",
       " \n",
       "          Heading    VesselName IMO CallSign  VesselType  Status  Length  \\\n",
       " 2994055    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3046747    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3050911    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3052338    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3077041    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3080058    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3090681    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3090710    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3106447    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3113243    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3113250    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3113255    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3117040    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3124290    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3131955    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3140733    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3151097    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3151127    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3154690    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3158240    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3169913    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3183647    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3183669    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3183673    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3193566    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3193769    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3198293    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3202000    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3208573    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3228794    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3271740    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3275613    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3281606    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 3347428    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 6221987    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 6238831    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " 6241108    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       " \n",
       "          Width  Draft  Cargo TranscieverClass  \n",
       " 2994055    NaN    NaN    NaN                B  \n",
       " 3046747    NaN    NaN    NaN                B  \n",
       " 3050911    NaN    NaN    NaN                B  \n",
       " 3052338    NaN    NaN    NaN                B  \n",
       " 3077041    NaN    NaN    NaN                B  \n",
       " 3080058    NaN    NaN    NaN                B  \n",
       " 3090681    NaN    NaN    NaN                B  \n",
       " 3090710    NaN    NaN    NaN                B  \n",
       " 3106447    NaN    NaN    NaN                B  \n",
       " 3113243    NaN    NaN    NaN                B  \n",
       " 3113250    NaN    NaN    NaN                B  \n",
       " 3113255    NaN    NaN    NaN                B  \n",
       " 3117040    NaN    NaN    NaN                B  \n",
       " 3124290    NaN    NaN    NaN                B  \n",
       " 3131955    NaN    NaN    NaN                B  \n",
       " 3140733    NaN    NaN    NaN                B  \n",
       " 3151097    NaN    NaN    NaN                B  \n",
       " 3151127    NaN    NaN    NaN                B  \n",
       " 3154690    NaN    NaN    NaN                B  \n",
       " 3158240    NaN    NaN    NaN                B  \n",
       " 3169913    NaN    NaN    NaN                B  \n",
       " 3183647    NaN    NaN    NaN                B  \n",
       " 3183669    NaN    NaN    NaN                B  \n",
       " 3183673    NaN    NaN    NaN                B  \n",
       " 3193566    NaN    NaN    NaN                B  \n",
       " 3193769    NaN    NaN    NaN                B  \n",
       " 3198293    NaN    NaN    NaN                B  \n",
       " 3202000    NaN    NaN    NaN                B  \n",
       " 3208573    NaN    NaN    NaN                B  \n",
       " 3228794    NaN    NaN    NaN                B  \n",
       " 3271740    NaN    NaN    NaN                B  \n",
       " 3275613    NaN    NaN    NaN                B  \n",
       " 3281606    NaN    NaN    NaN                B  \n",
       " 3347428    NaN    NaN    NaN                B  \n",
       " 6221987    NaN    NaN    NaN                B  \n",
       " 6238831    NaN    NaN    NaN                B  \n",
       " 6241108    NaN    NaN    NaN                B  }"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9402c90f",
   "metadata": {},
   "source": [
    "## Visualising a few hours of one day of vessel (2021_01_01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "21a79c9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "lat = 36.713\n",
    "lon = -122.186\n",
    "data_path = local_dir + 'vessel/AIS_2021_01_01.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "f411c878",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(data_path, engine='pyarrow')\n",
    "query_time = df[df['BaseDateTime'].dt.hour == 13]\n",
    "query_boundingbox = f\"LAT > {lat-0.25} & LAT < {lat + 0.25} & LON > {lon-0.25} & LON < {lon+0.25}\"\n",
    "res = query_time.query(query_boundingbox)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "151846e8",
   "metadata": {},
   "outputs": [
    {
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>2021-01-01 13:20:01</td>\n",
       "      <td>36.93597</td>\n",
       "      <td>-122.04860</td>\n",
       "      <td>9.4</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>36.92963</td>\n",
       "      <td>-122.08826</td>\n",
       "      <td>9.3</td>\n",
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       "      <td>2021-01-01 13:30:31</td>\n",
       "      <td>36.92999</td>\n",
       "      <td>-122.08318</td>\n",
       "      <td>10.0</td>\n",
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       "      <td>RUTH ANNE II</td>\n",
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       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>2021-01-01 13:36:01</td>\n",
       "      <td>36.92859</td>\n",
       "      <td>-122.10164</td>\n",
       "      <td>9.3</td>\n",
       "      <td>266.3</td>\n",
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       "      <td>RUTH ANNE II</td>\n",
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       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>3151097</th>\n",
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       "      <td>-122.10675</td>\n",
       "      <td>9.6</td>\n",
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       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>3151127</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:41:01</td>\n",
       "      <td>36.92700</td>\n",
       "      <td>-122.11849</td>\n",
       "      <td>9.9</td>\n",
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       "      <td>511.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>3154690</th>\n",
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       "      <td>2021-01-01 13:12:32</td>\n",
       "      <td>36.94303</td>\n",
       "      <td>-122.02493</td>\n",
       "      <td>9.5</td>\n",
       "      <td>251.8</td>\n",
       "      <td>511.0</td>\n",
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       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3158240</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:44:01</td>\n",
       "      <td>36.92582</td>\n",
       "      <td>-122.12870</td>\n",
       "      <td>10.0</td>\n",
       "      <td>265.4</td>\n",
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       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3169913</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:16:32</td>\n",
       "      <td>36.93923</td>\n",
       "      <td>-122.03764</td>\n",
       "      <td>10.4</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3183647</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:43:00</td>\n",
       "      <td>36.92616</td>\n",
       "      <td>-122.12529</td>\n",
       "      <td>9.9</td>\n",
       "      <td>263.4</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
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       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
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       "    <tr>\n",
       "      <th>3183669</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:49:01</td>\n",
       "      <td>36.92431</td>\n",
       "      <td>-122.14621</td>\n",
       "      <td>10.7</td>\n",
       "      <td>264.1</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183673</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:50:02</td>\n",
       "      <td>36.92395</td>\n",
       "      <td>-122.14982</td>\n",
       "      <td>10.3</td>\n",
       "      <td>258.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3193566</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:46:00</td>\n",
       "      <td>36.92518</td>\n",
       "      <td>-122.13565</td>\n",
       "      <td>10.1</td>\n",
       "      <td>264.6</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3193769</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:24:01</td>\n",
       "      <td>36.93220</td>\n",
       "      <td>-122.06143</td>\n",
       "      <td>10.1</td>\n",
       "      <td>249.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3198293</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:51:30</td>\n",
       "      <td>36.92344</td>\n",
       "      <td>-122.15495</td>\n",
       "      <td>10.7</td>\n",
       "      <td>259.6</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3202000</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:52:31</td>\n",
       "      <td>36.92314</td>\n",
       "      <td>-122.15849</td>\n",
       "      <td>9.3</td>\n",
       "      <td>265.5</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3208573</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:53:33</td>\n",
       "      <td>36.92278</td>\n",
       "      <td>-122.16212</td>\n",
       "      <td>10.6</td>\n",
       "      <td>260.3</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3228794</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:55:03</td>\n",
       "      <td>36.92228</td>\n",
       "      <td>-122.16744</td>\n",
       "      <td>10.5</td>\n",
       "      <td>260.2</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3271740</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:56:31</td>\n",
       "      <td>36.92172</td>\n",
       "      <td>-122.17261</td>\n",
       "      <td>10.8</td>\n",
       "      <td>261.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3275613</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:58:01</td>\n",
       "      <td>36.92112</td>\n",
       "      <td>-122.17789</td>\n",
       "      <td>10.8</td>\n",
       "      <td>261.4</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3281606</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:47:01</td>\n",
       "      <td>36.92489</td>\n",
       "      <td>-122.13906</td>\n",
       "      <td>11.1</td>\n",
       "      <td>269.1</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3347428</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:59:33</td>\n",
       "      <td>36.92047</td>\n",
       "      <td>-122.18330</td>\n",
       "      <td>10.2</td>\n",
       "      <td>259.5</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6221987</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:08:01</td>\n",
       "      <td>36.94728</td>\n",
       "      <td>-122.01049</td>\n",
       "      <td>8.6</td>\n",
       "      <td>252.0</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6238831</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:34:33</td>\n",
       "      <td>36.92900</td>\n",
       "      <td>-122.09680</td>\n",
       "      <td>10.3</td>\n",
       "      <td>263.7</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6241108</th>\n",
       "      <td>367528290</td>\n",
       "      <td>2021-01-01 13:39:02</td>\n",
       "      <td>36.92772</td>\n",
       "      <td>-122.11177</td>\n",
       "      <td>10.1</td>\n",
       "      <td>269.0</td>\n",
       "      <td>511.0</td>\n",
       "      <td>RUTH ANNE II</td>\n",
       "      <td></td>\n",
       "      <td>WDG3653</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              MMSI        BaseDateTime       LAT        LON   SOG    COG  \\\n",
       "2994055  367528290 2021-01-01 13:02:33  36.95813 -122.00139   7.7  190.2   \n",
       "3046747  367528290 2021-01-01 13:09:33  36.94582 -122.01540   9.6  249.2   \n",
       "3050911  367528290 2021-01-01 13:06:01  36.95054 -122.00596   9.2  213.8   \n",
       "3052338  367528290 2021-01-01 13:11:02  36.94447 -122.02015   9.5  251.7   \n",
       "3077041  367528290 2021-01-01 13:21:31  36.93451 -122.05346   9.9  253.1   \n",
       "3080058  367528290 2021-01-01 13:22:33  36.93357 -122.05670   9.5  250.3   \n",
       "3090681  367528290 2021-01-01 13:25:31  36.93122 -122.06631   9.0  269.3   \n",
       "3090710  367528290 2021-01-01 13:15:01  36.94067 -122.03288   9.9  250.8   \n",
       "3106447  367528290 2021-01-01 13:18:33  36.93728 -122.04410   9.2  251.3   \n",
       "3113243  367528290 2021-01-01 13:27:02  36.93087 -122.07144  10.8  262.6   \n",
       "3113250  367528290 2021-01-01 13:28:31  36.93052 -122.07642  10.2  262.3   \n",
       "3113255  367528290 2021-01-01 13:20:01  36.93597 -122.04860   9.4  250.3   \n",
       "3117040  367528290 2021-01-01 13:32:01  36.92963 -122.08826   9.3  260.0   \n",
       "3124290  367528290 2021-01-01 13:30:31  36.92999 -122.08318  10.0  265.6   \n",
       "3131955  367528290 2021-01-01 13:36:01  36.92859 -122.10164   9.3  266.3   \n",
       "3140733  367528290 2021-01-01 13:33:31  36.92930 -122.09333   9.5  269.7   \n",
       "3151097  367528290 2021-01-01 13:37:32  36.92817 -122.10675   9.6  265.6   \n",
       "3151127  367528290 2021-01-01 13:41:01  36.92700 -122.11849   9.9  266.1   \n",
       "3154690  367528290 2021-01-01 13:12:32  36.94303 -122.02493   9.5  251.8   \n",
       "3158240  367528290 2021-01-01 13:44:01  36.92582 -122.12870  10.0  265.4   \n",
       "3169913  367528290 2021-01-01 13:16:32  36.93923 -122.03764  10.4  246.5   \n",
       "3183647  367528290 2021-01-01 13:43:00  36.92616 -122.12529   9.9  263.4   \n",
       "3183669  367528290 2021-01-01 13:49:01  36.92431 -122.14621  10.7  264.1   \n",
       "3183673  367528290 2021-01-01 13:50:02  36.92395 -122.14982  10.3  258.7   \n",
       "3193566  367528290 2021-01-01 13:46:00  36.92518 -122.13565  10.1  264.6   \n",
       "3193769  367528290 2021-01-01 13:24:01  36.93220 -122.06143  10.1  249.7   \n",
       "3198293  367528290 2021-01-01 13:51:30  36.92344 -122.15495  10.7  259.6   \n",
       "3202000  367528290 2021-01-01 13:52:31  36.92314 -122.15849   9.3  265.5   \n",
       "3208573  367528290 2021-01-01 13:53:33  36.92278 -122.16212  10.6  260.3   \n",
       "3228794  367528290 2021-01-01 13:55:03  36.92228 -122.16744  10.5  260.2   \n",
       "3271740  367528290 2021-01-01 13:56:31  36.92172 -122.17261  10.8  261.7   \n",
       "3275613  367528290 2021-01-01 13:58:01  36.92112 -122.17789  10.8  261.4   \n",
       "3281606  367528290 2021-01-01 13:47:01  36.92489 -122.13906  11.1  269.1   \n",
       "3347428  367528290 2021-01-01 13:59:33  36.92047 -122.18330  10.2  259.5   \n",
       "6221987  367528290 2021-01-01 13:08:01  36.94728 -122.01049   8.6  252.0   \n",
       "6238831  367528290 2021-01-01 13:34:33  36.92900 -122.09680  10.3  263.7   \n",
       "6241108  367528290 2021-01-01 13:39:02  36.92772 -122.11177  10.1  269.0   \n",
       "\n",
       "         Heading    VesselName IMO CallSign  VesselType  Status  Length  \\\n",
       "2994055    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3046747    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3050911    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3052338    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3077041    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3080058    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3090681    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3090710    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3106447    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3113243    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3113250    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3113255    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3117040    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3124290    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3131955    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3140733    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3151097    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3151127    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3154690    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3158240    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3169913    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3183647    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3183669    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3183673    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3193566    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3193769    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3198293    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3202000    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3208573    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3228794    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3271740    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3275613    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3281606    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "3347428    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "6221987    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "6238831    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "6241108    511.0  RUTH ANNE II      WDG3653        30.0     NaN    10.0   \n",
       "\n",
       "         Width  Draft  Cargo TranscieverClass  \n",
       "2994055    NaN    NaN    NaN                B  \n",
       "3046747    NaN    NaN    NaN                B  \n",
       "3050911    NaN    NaN    NaN                B  \n",
       "3052338    NaN    NaN    NaN                B  \n",
       "3077041    NaN    NaN    NaN                B  \n",
       "3080058    NaN    NaN    NaN                B  \n",
       "3090681    NaN    NaN    NaN                B  \n",
       "3090710    NaN    NaN    NaN                B  \n",
       "3106447    NaN    NaN    NaN                B  \n",
       "3113243    NaN    NaN    NaN                B  \n",
       "3113250    NaN    NaN    NaN                B  \n",
       "3113255    NaN    NaN    NaN                B  \n",
       "3117040    NaN    NaN    NaN                B  \n",
       "3124290    NaN    NaN    NaN                B  \n",
       "3131955    NaN    NaN    NaN                B  \n",
       "3140733    NaN    NaN    NaN                B  \n",
       "3151097    NaN    NaN    NaN                B  \n",
       "3151127    NaN    NaN    NaN                B  \n",
       "3154690    NaN    NaN    NaN                B  \n",
       "3158240    NaN    NaN    NaN                B  \n",
       "3169913    NaN    NaN    NaN                B  \n",
       "3183647    NaN    NaN    NaN                B  \n",
       "3183669    NaN    NaN    NaN                B  \n",
       "3183673    NaN    NaN    NaN                B  \n",
       "3193566    NaN    NaN    NaN                B  \n",
       "3193769    NaN    NaN    NaN                B  \n",
       "3198293    NaN    NaN    NaN                B  \n",
       "3202000    NaN    NaN    NaN                B  \n",
       "3208573    NaN    NaN    NaN                B  \n",
       "3228794    NaN    NaN    NaN                B  \n",
       "3271740    NaN    NaN    NaN                B  \n",
       "3275613    NaN    NaN    NaN                B  \n",
       "3281606    NaN    NaN    NaN                B  \n",
       "3347428    NaN    NaN    NaN                B  \n",
       "6221987    NaN    NaN    NaN                B  \n",
       "6238831    NaN    NaN    NaN                B  \n",
       "6241108    NaN    NaN    NaN                B  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d52747cf-d5e9-46ba-a57b-039c47388d19",
   "metadata": {},
   "source": [
    "## Visualizing vessel movement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "57266ad3-00d8-4ff8-830e-5feb3c39b072",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def plot_movement(k):\n",
    "    key = local_dir + f'/vessel/AIS_{k}.csv'\n",
    "    distinct_mmsis = results[key]['MMSI'].unique()\n",
    "    fig, ax = plt.subplots(figsize=(10, 10))\n",
    "    colors = ['red', 'blue']\n",
    "    color_count = 0\n",
    "    for mmsi in distinct_mmsis:\n",
    "        df = results[key].query(f\"MMSI=={mmsi}\")\n",
    "        gdf = gpd.GeoDataFrame(geometry=gpd.points_from_xy(df['LON'], df['LAT']))\n",
    "        geo_df = gdf['geometry']\n",
    "        geo_df.crs={'init': \"epsg:4326\"}\n",
    "\n",
    "        ax = geo_df.plot(ax=ax, markersize=20, marker='o', color=colors[color_count], label=f'MMSI={mmsi}')\n",
    "        color_count +=1\n",
    "        \n",
    "    ax.plot([lon], [lat], marker='*', color='black', markersize=30, label='MARS point')\n",
    "    ax.set_xlim(extent[0]-0.25, extent[1]+0.25)\n",
    "    ax.set_ylim(extent[2]-0.25, extent[3]+0.25)\n",
    "    ctx.add_basemap(ax, crs=geo_df.crs, source = ctx.providers.Stamen.TonerLite)\n",
    "    ax.legend(loc='upper right', labelspacing=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "355e579c-b0d6-43e1-87e1-a39d470b1a6f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages/geopandas/array.py:275: ShapelyDeprecationWarning: The array interface is deprecated and will no longer work in Shapely 2.0. Convert the '.coords' to a numpy array instead.\n",
      "  return GeometryArray(vectorized.points_from_xy(x, y, z), crs=crs)\n",
      "/Users/lucillechapuis/opt/anaconda3/lib/python3.9/site-packages/pyproj/crs/crs.py:130: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
      "  in_crs_string = _prepare_from_proj_string(in_crs_string)\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'extent' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[83], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mplot_movement\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2021_01_01\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "Cell \u001b[0;32mIn[82], line 17\u001b[0m, in \u001b[0;36mplot_movement\u001b[0;34m(k)\u001b[0m\n\u001b[1;32m     14\u001b[0m     color_count \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m\n\u001b[1;32m     16\u001b[0m ax\u001b[38;5;241m.\u001b[39mplot([lon], [lat], marker\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m*\u001b[39m\u001b[38;5;124m'\u001b[39m, color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mblack\u001b[39m\u001b[38;5;124m'\u001b[39m, markersize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m30\u001b[39m, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mMARS point\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 17\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_xlim(\u001b[43mextent\u001b[49m[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m0.25\u001b[39m, extent[\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m0.25\u001b[39m)\n\u001b[1;32m     18\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylim(extent[\u001b[38;5;241m2\u001b[39m]\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m0.25\u001b[39m, extent[\u001b[38;5;241m3\u001b[39m]\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m0.25\u001b[39m)\n\u001b[1;32m     19\u001b[0m ctx\u001b[38;5;241m.\u001b[39madd_basemap(ax, crs\u001b[38;5;241m=\u001b[39mgeo_df\u001b[38;5;241m.\u001b[39mcrs, source \u001b[38;5;241m=\u001b[39m ctx\u001b[38;5;241m.\u001b[39mproviders\u001b[38;5;241m.\u001b[39mStamen\u001b[38;5;241m.\u001b[39mTonerLite)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'extent' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_movement('2021_01_01')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "5ccc751d-ad7b-48b5-87b6-d11cf8346c3e",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'gdf' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[80], line 5\u001b[0m\n\u001b[1;32m      3\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[1;32m      4\u001b[0m world\u001b[38;5;241m.\u001b[39mboundary\u001b[38;5;241m.\u001b[39mplot(ax\u001b[38;5;241m=\u001b[39max)\n\u001b[0;32m----> 5\u001b[0m \u001b[43mgdf\u001b[49m\u001b[38;5;241m.\u001b[39mplot(ax\u001b[38;5;241m=\u001b[39max, marker\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mo\u001b[39m\u001b[38;5;124m'\u001b[39m, color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mblue\u001b[39m\u001b[38;5;124m'\u001b[39m, markersize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m50\u001b[39m)\n\u001b[1;32m      6\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_xlim(extent[\u001b[38;5;241m0\u001b[39m], extent[\u001b[38;5;241m1\u001b[39m])\n\u001b[1;32m      7\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylim(extent[\u001b[38;5;241m2\u001b[39m], extent[\u001b[38;5;241m3\u001b[39m])\n",
      "\u001b[0;31mNameError\u001b[0m: name 'gdf' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "world.boundary.plot(ax=ax)\n",
    "gdf.plot(ax=ax, marker='o', color='blue', markersize=50)\n",
    "ax.set_xlim(extent[0], extent[1])\n",
    "ax.set_ylim(extent[2], extent[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "274cfb87-c5ef-498a-9ff6-e6e367114ec0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'gdf' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[81], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m geo_df \u001b[38;5;241m=\u001b[39m \u001b[43mgdf\u001b[49m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgeometry\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m      2\u001b[0m geo_df\u001b[38;5;241m.\u001b[39mcrs\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m'\u001b[39m\u001b[38;5;124minit\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mepsg:4326\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[1;32m      4\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m, \u001b[38;5;241m10\u001b[39m))\n",
      "\u001b[0;31mNameError\u001b[0m: name 'gdf' is not defined"
     ]
    }
   ],
   "source": [
    "geo_df = gdf['geometry']\n",
    "geo_df.crs={'init': \"epsg:4326\"}\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "ax = geo_df.plot(ax=ax, markersize=20, marker='o')\n",
    "ax.set_xlim(extent[0]-0.25, extent[1]+0.25)\n",
    "ax.set_ylim(extent[2]-0.25, extent[3]+0.25)\n",
    "ax.plot([lon], [lat], marker='*', color='white', markersize=30)\n",
    "ctx.add_basemap(ax, crs=geo_df.crs, source = ctx.providers.Stamen.TonerLite)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "16d72cd8-388a-4319-9cf5-b987af966cdf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matplotlib.axes._axes.Axes"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65a4af4a-6da3-48c5-b361-cb2445af8080",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}