parse_sb_adcp.ipynb

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   "cell_type": "code",
   "execution_count": 1,
   "id": "e7c3b6b8-44ce-4447-aa60-7cb75d559c5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from collections import Counter\n",
    "import datetime\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams.update({'font.size': 14})\n",
    "from matplotlib.dates import DateFormatter, DayLocator, HourLocator"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0265032-3161-4a46-8b9f-0d92a0cc6179",
   "metadata": {},
   "source": [
    "# Read in the data, check for GPS messages and establish number of measurements and cells\n",
    "Put a path to your DCPS text file here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "df47e15c-7f8e-46fc-8e66-417f1f19460c",
   "metadata": {},
   "outputs": [],
   "source": [
    "adcp_raw = pd.read_csv(\"/home/callum/Downloads/glider_data/SB_DATA/SAMBA_001/SB_VOTO_ADCP/20200915/DCPS.TXT\", names=[\"message\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8b7d3d7c-9375-47f4-8462-29f35cfaaaf4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1028 measurements in input file\n"
     ]
    }
   ],
   "source": [
    "starts, measures, ends = 0, 0, 0\n",
    "for msg in adcp_raw.message:\n",
    "    if \"opened\" in msg:\n",
    "        starts+=1\n",
    "    if \"MEASUREMENT\" in msg:\n",
    "        measures+=1\n",
    "        measure_msg = msg\n",
    "    if \"closed\" in msg:\n",
    "        ends+=1   \n",
    "if starts!= measures or ends!= measures:\n",
    "    print(f\"Warning! number of gps starts {starts} or gps ends {ends} does not match number of ADCP data points {measures}\")\n",
    "else:\n",
    "    print(f\"{measures} measurements in input file\")\n",
    "num_times = measures\n",
    "measure_list = measure_msg.split(\"\\t\")[3:]\n",
    "keys, vals = measure_list[::2], measure_list[1::2]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d96ff55-4a18-4f91-af40-d5b723ec5930",
   "metadata": {},
   "source": [
    "### Split input data\n",
    "Each variable has dimensions of time only (GPS position, SailBuoy pitch) or dimensions of time and cell number (e.g. ADCP heading)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "eca8338b-33ff-4185-8c2f-1de91000ab9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find split between profile variables and cell variables by finding first occurence of cell\n",
    "for i, key in enumerate(keys):\n",
    "    if \"Cell\" in key:\n",
    "        start_cells = i\n",
    "        break\n",
    "profile_vars = keys[:i]\n",
    "cell_vars = tuple(set(keys[i:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bd1fd86e-295e-450a-b4f6-c82679788e87",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ADCP data comprised of 30 cells\n"
     ]
    }
   ],
   "source": [
    "# Count number of cells\n",
    "c = Counter(keys)\n",
    "num_cells = c.most_common(1)[0][1]\n",
    "cell_ids = np.arange(num_cells)\n",
    "print(f\"ADCP data comprised of {num_cells} cells\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5a7382f1-c224-4b25-a906-c3e502b4dde3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Helper function to pasrse GPS sentences\n",
    "def parse_gps_str(gps_str):\n",
    "    parts = gps_str.split(\" \")\n",
    "    datetime_str = f\"{parts[-4]} {parts[-3]}\" \n",
    "    time = parts[-3]\n",
    "    lat = parts[-2]\n",
    "    lon = parts[-1]\n",
    "    gps_datetime = datetime.datetime.strptime(datetime_str, \"%d.%m.%Y %H:%M:%S\")\n",
    "    return gps_datetime, lat, lon\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f1f8190-2b12-4676-aaec-7306b5dde5f6",
   "metadata": {},
   "source": [
    "# Create empty arrays for our variables"
   ]
  },
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   "cell_type": "code",
   "execution_count": 7,
   "id": "9688bdd8-0589-46c3-add9-b2a1a2779238",
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   "outputs": [],
   "source": [
    "# Create empty arrays for observations. We use number of measurements and number of cells as dimensions\n",
    "profile_dict, cell_dict = {}, {}\n",
    "profile_array = np.empty(num_times, dtype=float)\n",
    "profile_array[:] = np.nan\n",
    "cell_array = np.empty((num_cells, num_times), dtype=float)\n",
    "cell_array[:] = np.nan\n",
    "\n",
    "# Add all values from measurements\n",
    "for var in profile_vars:\n",
    "    profile_dict[var] = profile_array.copy()\n",
    "\n",
    "for var in cell_vars:\n",
    "    cell_dict[var] = cell_array.copy()\n",
    "\n",
    "# Add GPS times\n",
    "time_array = np.empty(num_times, dtype=datetime.datetime)\n",
    "time_array[:] = datetime.datetime(1970,1,1)\n",
    "profile_dict[\"time_start\"] = time_array.copy()\n",
    "profile_dict[\"lat_start\"] = profile_array.copy()\n",
    "profile_dict[\"lon_start\"] = profile_array.copy()\n",
    "profile_dict[\"time_end\"] = time_array.copy()\n",
    "profile_dict[\"lat_end\"] = profile_array.copy()\n",
    "profile_dict[\"lon_end\"] = profile_array.copy()\n",
    "\n",
    "# Extra items that sometimes appear in data. Bad data flags or something?\n",
    "cell_dict['*Horizontal Speed[cm/s]'] = cell_array.copy()\n",
    "cell_dict['*Direction[Deg.M]'] = cell_array.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c21a6a7-76b5-49a5-bd5e-6712a5cb9812",
   "metadata": {},
   "source": [
    "# Run through the data file and extract the data into our pre-made arrays\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5bd27cc8-303d-4a1c-b0d0-fab0023c55e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "t = -1\n",
    "for msg in adcp_raw.message:\n",
    "    if \"opened\" in msg:\n",
    "        t+=1\n",
    "        gps_start_msg = msg\n",
    "        gps_dt, lat, lon = parse_gps_str(gps_start_msg)\n",
    "        profile_dict[\"time_start\"][t] = gps_dt\n",
    "        profile_dict[\"lat_start\"][t] = lat\n",
    "        profile_dict[\"lon_start\"][t] = lon\n",
    "    if \"MEASUREMENT\" in msg:\n",
    "        measure_msg = msg\n",
    "        measure_list = measure_msg.split(\"\\t\")[3:]\n",
    "        keys, vals = measure_list[::2], measure_list[1::2]\n",
    "        c = -1\n",
    "        for key, val in zip(keys, vals):\n",
    "            if key == \"Cell Index\":\n",
    "                c+=1\n",
    "            if key in profile_dict.keys():\n",
    "                profile_dict[key][t] = val\n",
    "            else:\n",
    "                cell_dict[key][c, t] = val\n",
    "    if \"closed\" in msg:\n",
    "        gps_close_msg = msg\n",
    "        gps_dt, lat, lon = parse_gps_str(gps_close_msg)\n",
    "        profile_dict[\"time_end\"][t] = gps_dt\n",
    "        profile_dict[\"lat_end\"][t] = lat\n",
    "        profile_dict[\"lon_end\"][t] = lon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68d133fb-c980-4b8d-9ff7-f95a8201da69",
   "metadata": {},
   "source": [
    "# Make pretty netCDFs\n",
    "### Create xarray friendly dictionaries of our data with their dimensions\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "060b6228-1e54-4704-88bc-daeb95cd0b22",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_vars = {}\n",
    "for key, val in profile_dict.items():\n",
    "    data_vars[key] = ([\"time\"], val)\n",
    "for key, val in cell_dict.items():\n",
    "    data_vars[key] = ([\"cells\", \"time\"], val)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "facea590-0d61-4e1b-b3d6-a3d81a446bf2",
   "metadata": {},
   "source": [
    "### Create the dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "dd58a927-5362-4826-af01-c58b3cf5dbc3",
   "metadata": {},
   "outputs": [
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       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                  (time: 1028, cells: 30)\n",
       "Coordinates:\n",
       "  * cells                    (cells) int64 0 1 2 3 4 5 6 ... 24 25 26 27 28 29\n",
       "  * time                     (time) datetime64[ns] 2020-08-24T12:07:34 ... 20...\n",
       "Data variables: (12/29)\n",
       "    Heading[Deg.M]           (time) float64 190.1 190.0 190.0 ... 255.1 214.9\n",
       "    Std Dev Heading[Deg.M]   (time) float64 0.7503 0.8815 0.7242 ... 14.85 14.71\n",
       "    Pitch[Deg]               (time) float64 -1.044 -1.07 -1.059 ... 2.744 1.654\n",
       "    Roll[Deg]                (time) float64 178.9 178.9 179.0 ... -179.3 179.9\n",
       "    Abs Tilt[Deg]            (time) float64 178.5 178.5 178.5 ... 171.8 173.1\n",
       "    Max Tilt[Deg]            (time) float64 2.16 1.996 2.044 ... 30.77 21.02\n",
       "    ...                       ...\n",
       "    Horizontal Speed[cm/s]   (cells, time) float64 70.26 42.31 ... 126.5 99.14\n",
       "    Cell Index               (cells, time) float64 1e+03 1e+03 ... 1.029e+03\n",
       "    Cell State2              (cells, time) float64 -256.0 -256.0 ... 0.0 0.0\n",
       "    Cell State1              (cells, time) float64 4.08e+03 1.776e+03 ... 192.0\n",
       "    *Horizontal Speed[cm/s]  (cells, time) float64 nan nan nan ... nan nan nan\n",
       "    *Direction[Deg.M]        (cells, time) float64 nan nan nan ... nan nan nan\n",
       "Attributes:\n",
       "    description:  ADCP data munged data from a DCPS file. By Callum Rollo 202...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-139ad2ae-cd3a-454a-b52d-d26a34ec49e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-139ad2ae-cd3a-454a-b52d-d26a34ec49e4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1028</li><li><span class='xr-has-index'>cells</span>: 30</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84fdb01f-4dfa-4af4-bdd5-ee9fb0daf7f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84fdb01f-4dfa-4af4-bdd5-ee9fb0daf7f1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cells</span></div><div class='xr-var-dims'>(cells)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-f54231d6-20c0-4c8c-b51c-9f1b8eeda2e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f54231d6-20c0-4c8c-b51c-9f1b8eeda2e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4562b969-a3a6-4e09-b9f4-612241ce363f' class='xr-var-data-in' type='checkbox'><label for='data-4562b969-a3a6-4e09-b9f4-612241ce363f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-24T12:07:34 ... 2020-09-...</div><input id='attrs-dba0e3e8-17ac-4090-8953-cd59ab59b1ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dba0e3e8-17ac-4090-8953-cd59ab59b1ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7fdd1aa-7f0f-4020-b034-ac7c235593d0' class='xr-var-data-in' type='checkbox'><label for='data-d7fdd1aa-7f0f-4020-b034-ac7c235593d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-24T12:07:34.000000000&#x27;, &#x27;2020-08-24T12:17:34.000000000&#x27;,\n",
       "       &#x27;2020-08-24T12:27:34.000000000&#x27;, ..., &#x27;2020-09-15T09:15:39.000000000&#x27;,\n",
       "       &#x27;2020-09-15T09:35:39.000000000&#x27;, &#x27;2020-09-15T09:55:39.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18f5ea59-bb8d-47a7-aca4-46301f3dac19' class='xr-section-summary-in' type='checkbox'  ><label for='section-18f5ea59-bb8d-47a7-aca4-46301f3dac19' class='xr-section-summary' >Data variables: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Heading[Deg.M]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>190.1 190.0 190.0 ... 255.1 214.9</div><input id='attrs-1db7c101-89e1-4f51-8287-7ec87e3b18b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1db7c101-89e1-4f51-8287-7ec87e3b18b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-794847ae-fa33-4f4d-b99c-9286b6976414' class='xr-var-data-in' type='checkbox'><label for='data-794847ae-fa33-4f4d-b99c-9286b6976414' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([190.1043 , 190.0464 , 190.042  , ...,  68.25897, 255.0614 ,\n",
       "       214.9232 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Std Dev Heading[Deg.M]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7503 0.8815 ... 14.85 14.71</div><input id='attrs-06db8d59-d9e3-406f-b7ea-26ed1563ef9b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06db8d59-d9e3-406f-b7ea-26ed1563ef9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04bad907-f8a2-4f27-b5f4-b38765c507e6' class='xr-var-data-in' type='checkbox'><label for='data-04bad907-f8a2-4f27-b5f4-b38765c507e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.7502927,  0.881527 ,  0.7242013, ..., 14.26969  , 14.85052  ,\n",
       "       14.71309  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Pitch[Deg]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.044 -1.07 -1.059 ... 2.744 1.654</div><input id='attrs-e0f3cf71-b694-432f-aee9-e9172793b136' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0f3cf71-b694-432f-aee9-e9172793b136' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ed41f6b-6b47-436d-8a02-4216ab1b75b2' class='xr-var-data-in' type='checkbox'><label for='data-2ed41f6b-6b47-436d-8a02-4216ab1b75b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1.044036, -1.069735, -1.058933, ..., -0.874103,  2.744085,\n",
       "        1.65423 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Roll[Deg]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>178.9 178.9 179.0 ... -179.3 179.9</div><input id='attrs-f69d6d57-f620-45f3-81ea-9ef7761045f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f69d6d57-f620-45f3-81ea-9ef7761045f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2231399b-3c06-43e1-90ea-0d86f7009464' class='xr-var-data-in' type='checkbox'><label for='data-2231399b-3c06-43e1-90ea-0d86f7009464' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 178.9453,  178.9348,  178.9725, ...,  177.4727, -179.3307,\n",
       "        179.9448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Abs Tilt[Deg]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>178.5 178.5 178.5 ... 171.8 173.1</div><input id='attrs-dd0370b3-2758-4553-ad35-0cb9116b34fd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd0370b3-2758-4553-ad35-0cb9116b34fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-109ab927-5426-49dd-aaa8-594dde3e9c04' class='xr-var-data-in' type='checkbox'><label for='data-109ab927-5426-49dd-aaa8-594dde3e9c04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([178.5091, 178.4835, 178.519 , ..., 170.6344, 171.7501, 173.1374])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Max Tilt[Deg]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.16 1.996 2.044 ... 30.77 21.02</div><input id='attrs-9802b7ce-4e23-4576-ae88-e7648a73da89' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9802b7ce-4e23-4576-ae88-e7648a73da89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2c25a09-4b0c-4fa3-aaf3-55fa69f35e5d' class='xr-var-data-in' type='checkbox'><label for='data-b2c25a09-4b0c-4fa3-aaf3-55fa69f35e5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 2.160309,  1.996063,  2.043915, ..., 29.14243 , 30.76808 ,\n",
       "       21.01962 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Std Dev Tilt[Deg]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2388 0.1738 ... 5.847 4.586</div><input id='attrs-f99b0dac-e9ad-4a43-922c-dbf0d5e6eeb6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f99b0dac-e9ad-4a43-922c-dbf0d5e6eeb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12588c0c-4b99-4019-99d8-001b13663e27' class='xr-var-data-in' type='checkbox'><label for='data-12588c0c-4b99-4019-99d8-001b13663e27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.       , 0.2388451, 0.1737853, ..., 5.886796 , 5.846602 ,\n",
       "       4.586236 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tilt Direction[Deg]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>124.3 124.7 125.3 ... 222.5 6.0</div><input id='attrs-d56d18ce-9083-4f82-a1a1-30a32dca9950' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d56d18ce-9083-4f82-a1a1-30a32dca9950' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13fa256c-7c6a-4575-97f9-5b64497d1cdb' class='xr-var-data-in' type='checkbox'><label for='data-13fa256c-7c6a-4575-97f9-5b64497d1cdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([124.3425  , 124.7031  , 125.3219  , ..., 202.7318  , 222.4786  ,\n",
       "         6.000458])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Charge Voltage Vtx1[V]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.98 4.981 4.981 ... 4.977 4.977</div><input id='attrs-13d83fad-aebc-4898-a4ed-f590d8da5b85' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13d83fad-aebc-4898-a4ed-f590d8da5b85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc1853ad-d875-4861-ac93-47509f5bb8f4' class='xr-var-data-in' type='checkbox'><label for='data-fc1853ad-d875-4861-ac93-47509f5bb8f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4.980469, 4.980652, 4.98111 , ..., 4.977264, 4.977356, 4.976807])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Charge Voltage Vtx2[V]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.976 4.976 4.976 ... 4.975 4.975</div><input id='attrs-006a6b41-7391-4a20-924e-3bbca83d88be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-006a6b41-7391-4a20-924e-3bbca83d88be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-272c61cb-c076-416f-bcf1-39b78b2042d3' class='xr-var-data-in' type='checkbox'><label for='data-272c61cb-c076-416f-bcf1-39b78b2042d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4.976074, 4.975891, 4.976166, ..., 4.974701, 4.974701, 4.974792])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Min Input Voltage[V]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.52 13.57 13.52 ... 13.1 13.13</div><input id='attrs-30d8b321-38f0-475d-85b0-a4eb03dbbc84' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30d8b321-38f0-475d-85b0-a4eb03dbbc84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3c0abf5-003b-48e9-aa71-6ca15a377fd6' class='xr-var-data-in' type='checkbox'><label for='data-b3c0abf5-003b-48e9-aa71-6ca15a377fd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([13.51625, 13.56875, 13.51875, ..., 13.08875, 13.10125, 13.12875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Input Voltage[V]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.88 13.83 13.99 ... 13.38 13.4</div><input id='attrs-4215c300-e815-4642-bc73-030ab8646603' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4215c300-e815-4642-bc73-030ab8646603' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6b6a0dd-f62f-4030-b8a2-265b56e3e672' class='xr-var-data-in' type='checkbox'><label for='data-c6b6a0dd-f62f-4030-b8a2-265b56e3e672' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([13.88125, 13.8325 , 13.995  , ..., 13.3525 , 13.375  , 13.4025 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Input Current[mA]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.0 26.65 26.65 ... 29.85 30.35</div><input id='attrs-b738121e-2677-4b36-bb67-ef91fb1e21c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b738121e-2677-4b36-bb67-ef91fb1e21c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b179257f-5c00-40c5-91ca-b9ee78da9f76' class='xr-var-data-in' type='checkbox'><label for='data-b179257f-5c00-40c5-91ca-b9ee78da9f76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([27.  , 26.65, 26.65, ..., 30.45, 29.85, 30.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Memory Used[Bytes]</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.087e+05 5.087e+05 ... 5.087e+05</div><input id='attrs-ea3478bc-69bd-4592-8be4-b1a2b9f97713' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea3478bc-69bd-4592-8be4-b1a2b9f97713' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-452ae681-e36a-4374-b95e-71684ed29a05' class='xr-var-data-in' type='checkbox'><label for='data-452ae681-e36a-4374-b95e-71684ed29a05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([508696., 508696., 508696., ..., 508696., 508696., 508696.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Record State</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 512.0 512.0 512.0</div><input id='attrs-922c6c3e-76a3-48cb-bf0d-419e6f7b2b54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-922c6c3e-76a3-48cb-bf0d-419e6f7b2b54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7912966-5c04-4166-8af5-30d30f8ba2dc' class='xr-var-data-in' type='checkbox'><label for='data-c7912966-5c04-4166-8af5-30d30f8ba2dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.,   0.,   0., ..., 512., 512., 512.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ping Count</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>150.0 150.0 150.0 ... 146.0 150.0</div><input id='attrs-758de228-aebf-44f0-8844-042234ea527c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-758de228-aebf-44f0-8844-042234ea527c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6c7a1a7-8101-4427-a2a2-5fc1cc994505' class='xr-var-data-in' type='checkbox'><label for='data-f6c7a1a7-8101-4427-a2a2-5fc1cc994505' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([150., 150., 150., ..., 150., 146., 150.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_start</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-24T12:07:34 ... 2020-09-...</div><input id='attrs-a9a23382-463b-45f0-9681-06491c8ae00e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a9a23382-463b-45f0-9681-06491c8ae00e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb8e0e15-246d-4752-8021-a5262057250f' class='xr-var-data-in' type='checkbox'><label for='data-cb8e0e15-246d-4752-8021-a5262057250f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-24T12:07:34.000000000&#x27;, &#x27;2020-08-24T12:17:34.000000000&#x27;,\n",
       "       &#x27;2020-08-24T12:27:34.000000000&#x27;, ...,\n",
       "       &#x27;2020-09-15T09:15:39.000000000&#x27;, &#x27;2020-09-15T09:35:39.000000000&#x27;,\n",
       "       &#x27;2020-09-15T09:55:39.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_start</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>57.69 57.69 57.69 ... 57.87 57.88</div><input id='attrs-0bae1c4c-52fd-4478-aa2e-af27a0ed2114' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bae1c4c-52fd-4478-aa2e-af27a0ed2114' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b8a0a1-ac33-477e-b08c-dff1cdb2d90d' class='xr-var-data-in' type='checkbox'><label for='data-88b8a0a1-ac33-477e-b08c-dff1cdb2d90d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([57.68562, 57.68562, 57.68561, ..., 57.86639, 57.87235, 57.88117])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_start</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.89 11.89 11.89 ... 11.41 11.39</div><input id='attrs-9e3a9715-8866-4e07-8276-4624db9085b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9e3a9715-8866-4e07-8276-4624db9085b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cdde2ea-7d74-4670-a207-ed061627ebc0' class='xr-var-data-in' type='checkbox'><label for='data-5cdde2ea-7d74-4670-a207-ed061627ebc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([11.89109, 11.89108, 11.89111, ..., 11.41572, 11.41159, 11.39264])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_end</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-08-24T12:10:00 ... 2020-09-...</div><input id='attrs-c430527c-bbdc-4ba7-ab77-44241730cfec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c430527c-bbdc-4ba7-ab77-44241730cfec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8bc61ed-09b9-490a-88c0-d74844a5206d' class='xr-var-data-in' type='checkbox'><label for='data-a8bc61ed-09b9-490a-88c0-d74844a5206d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-08-24T12:10:00.000000000&#x27;, &#x27;2020-08-24T12:19:59.000000000&#x27;,\n",
       "       &#x27;2020-08-24T12:29:59.000000000&#x27;, ...,\n",
       "       &#x27;2020-09-15T09:18:04.000000000&#x27;, &#x27;2020-09-15T09:38:05.000000000&#x27;,\n",
       "       &#x27;2020-09-15T09:58:05.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_end</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>57.69 57.69 57.69 ... 57.87 57.88</div><input id='attrs-edbeec26-5eb2-4782-a3a7-7779e22f807d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-edbeec26-5eb2-4782-a3a7-7779e22f807d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a241fa9-d644-4327-bc53-d4234b6af226' class='xr-var-data-in' type='checkbox'><label for='data-1a241fa9-d644-4327-bc53-d4234b6af226' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([57.68561, 57.6856 , 57.68562, ..., 57.8668 , 57.87352, 57.8819 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_end</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>11.89 11.89 11.89 ... 11.41 11.39</div><input id='attrs-bf0b8210-ce25-47a4-a282-c43de0b277ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf0b8210-ce25-47a4-a282-c43de0b277ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-063fe4c8-d7f0-480d-bbbf-565dbddfb6dc' class='xr-var-data-in' type='checkbox'><label for='data-063fe4c8-d7f0-480d-bbbf-565dbddfb6dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([11.89112, 11.89111, 11.89111, ..., 11.41606, 11.40924, 11.39081])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Direction[Deg.M]</span></div><div class='xr-var-dims'>(cells, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>148.1 333.2 303.9 ... 134.2 127.5</div><input id='attrs-1f46e104-a071-4e12-8075-aa1bd88ba2b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f46e104-a071-4e12-8075-aa1bd88ba2b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4c85767-5766-4bed-b91a-75861cb0e191' class='xr-var-data-in' type='checkbox'><label for='data-d4c85767-5766-4bed-b91a-75861cb0e191' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[148.1048  , 333.1883  , 303.9228  , ..., 288.0758  , 124.223   ,\n",
       "         95.13135 ],\n",
       "       [311.2     , 103.0815  , 162.3578  , ..., 279.6078  , 119.6808  ,\n",
       "        103.62    ],\n",
       "       [ 61.28335 , 162.3068  , 140.4436  , ..., 278.6103  , 121.8883  ,\n",
       "        111.6481  ],\n",
       "       ...,\n",
       "       [ 93.35884 , 301.5956  ,   9.123227, ..., 208.5501  , 134.2087  ,\n",
       "        131.8348  ],\n",
       "       [348.1011  , 150.0589  ,  71.33896 , ..., 205.0359  , 134.937   ,\n",
       "        131.6013  ],\n",
       "       [336.2407  ,  50.67822 ,   9.182633, ..., 214.8736  , 134.1585  ,\n",
       "        127.5299  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Horizontal Speed[cm/s]</span></div><div class='xr-var-dims'>(cells, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>70.26 42.31 39.87 ... 126.5 99.14</div><input id='attrs-b0b144c6-75ca-467a-adf1-86b9cbbaf90c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0b144c6-75ca-467a-adf1-86b9cbbaf90c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d861241c-17ae-4282-b78f-d8059611db82' class='xr-var-data-in' type='checkbox'><label for='data-d861241c-17ae-4282-b78f-d8059611db82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 70.25599,  42.31422,  39.87017, ...,  45.8763 ,  84.41509,\n",
       "         45.70562],\n",
       "       [ 49.45765,  21.36856,  54.65129, ...,  39.51   ,  80.09065,\n",
       "         51.19665],\n",
       "       [ 40.16646,  68.28637,  29.55075, ...,  37.75462,  85.20282,\n",
       "         52.68916],\n",
       "       ...,\n",
       "       [ 56.31192,  38.15098,  34.81111, ...,  30.57788, 127.5567 ,\n",
       "        101.2219 ],\n",
       "       [ 88.36213,  19.47215,  87.13109, ...,  32.16959, 126.2621 ,\n",
       "         99.26573],\n",
       "       [ 29.87991,  22.10555,  57.36444, ...,  43.723  , 126.5227 ,\n",
       "         99.13929]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cell Index</span></div><div class='xr-var-dims'>(cells, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+03 1e+03 ... 1.029e+03 1.029e+03</div><input id='attrs-25a9fefb-8100-4998-b85c-794afe3f3849' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25a9fefb-8100-4998-b85c-794afe3f3849' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6495ddca-4b1c-47e8-a526-9e9f3fee86b7' class='xr-var-data-in' type='checkbox'><label for='data-6495ddca-4b1c-47e8-a526-9e9f3fee86b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1000., 1000., 1000., ..., 1000., 1000., 1000.],\n",
       "       [1001., 1001., 1001., ..., 1001., 1001., 1001.],\n",
       "       [1002., 1002., 1002., ..., 1002., 1002., 1002.],\n",
       "       ...,\n",
       "       [1027., 1027., 1027., ..., 1027., 1027., 1027.],\n",
       "       [1028., 1028., 1028., ..., 1028., 1028., 1028.],\n",
       "       [1029., 1029., 1029., ..., 1029., 1029., 1029.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cell State2</span></div><div class='xr-var-dims'>(cells, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-256.0 -256.0 -256.0 ... 0.0 0.0</div><input id='attrs-526db13a-4d27-4065-9fab-b8ca05eecfa7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-526db13a-4d27-4065-9fab-b8ca05eecfa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f409e37-956d-4b4f-8c2d-861e48d3ec6f' class='xr-var-data-in' type='checkbox'><label for='data-9f409e37-956d-4b4f-8c2d-861e48d3ec6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-256., -256., -256., ...,    0.,    0.,    0.],\n",
       "       [-256., -256., -256., ...,    0.,    0.,    0.],\n",
       "       [-256., -256., -256., ...,    0.,    0.,    0.],\n",
       "       ...,\n",
       "       [-256., -256., -256., ...,    0.,    0.,    0.],\n",
       "       [-256., -256., -256., ...,    0.,    0.,    0.],\n",
       "       [-256., -256., -256., ...,    0.,    0.,    0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cell State1</span></div><div class='xr-var-dims'>(cells, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.08e+03 1.776e+03 ... 192.0 192.0</div><input id='attrs-ef6eaf5a-b5de-4fc6-bf43-a688420f1571' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef6eaf5a-b5de-4fc6-bf43-a688420f1571' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6132f77-701c-4e05-9a60-c2c2ff29d798' class='xr-var-data-in' type='checkbox'><label for='data-a6132f77-701c-4e05-9a60-c2c2ff29d798' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[4080., 1776.,  752., ...,  192.,  192.,   64.],\n",
       "       [2288., 1520., 2288., ...,  128.,   64.,  128.],\n",
       "       [2544., 4080., 3568., ...,   64.,   64.,  128.],\n",
       "       ...,\n",
       "       [3056., 1008., 2032., ...,  192.,  128.,   64.],\n",
       "       [ 496.,  752., 1264., ...,  128.,  128.,   64.],\n",
       "       [1008., 1008.,  496., ...,  192.,  192.,  192.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>*Horizontal Speed[cm/s]</span></div><div class='xr-var-dims'>(cells, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7c126321-9f01-4135-b4d7-5fd7a78d2dfd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c126321-9f01-4135-b4d7-5fd7a78d2dfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c0c504c-6a07-4062-bc85-08f7bd1aeede' class='xr-var-data-in' type='checkbox'><label for='data-3c0c504c-6a07-4062-bc85-08f7bd1aeede' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>*Direction[Deg.M]</span></div><div class='xr-var-dims'>(cells, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d77a862f-5cc9-410c-9006-d3e8d608c35e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d77a862f-5cc9-410c-9006-d3e8d608c35e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2faf74a8-b3e4-4809-9369-7a3a09514d22' class='xr-var-data-in' type='checkbox'><label for='data-2faf74a8-b3e4-4809-9369-7a3a09514d22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75f3d145-893a-4cb7-9b8d-258dc07148fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-75f3d145-893a-4cb7-9b8d-258dc07148fa' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>ADCP data munged data from a DCPS file. By Callum Rollo 2022-08-30</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                  (time: 1028, cells: 30)\n",
       "Coordinates:\n",
       "  * cells                    (cells) int64 0 1 2 3 4 5 6 ... 24 25 26 27 28 29\n",
       "  * time                     (time) datetime64[ns] 2020-08-24T12:07:34 ... 20...\n",
       "Data variables: (12/29)\n",
       "    Heading[Deg.M]           (time) float64 190.1 190.0 190.0 ... 255.1 214.9\n",
       "    Std Dev Heading[Deg.M]   (time) float64 0.7503 0.8815 0.7242 ... 14.85 14.71\n",
       "    Pitch[Deg]               (time) float64 -1.044 -1.07 -1.059 ... 2.744 1.654\n",
       "    Roll[Deg]                (time) float64 178.9 178.9 179.0 ... -179.3 179.9\n",
       "    Abs Tilt[Deg]            (time) float64 178.5 178.5 178.5 ... 171.8 173.1\n",
       "    Max Tilt[Deg]            (time) float64 2.16 1.996 2.044 ... 30.77 21.02\n",
       "    ...                       ...\n",
       "    Horizontal Speed[cm/s]   (cells, time) float64 70.26 42.31 ... 126.5 99.14\n",
       "    Cell Index               (cells, time) float64 1e+03 1e+03 ... 1.029e+03\n",
       "    Cell State2              (cells, time) float64 -256.0 -256.0 ... 0.0 0.0\n",
       "    Cell State1              (cells, time) float64 4.08e+03 1.776e+03 ... 192.0\n",
       "    *Horizontal Speed[cm/s]  (cells, time) float64 nan nan nan ... nan nan nan\n",
       "    *Direction[Deg.M]        (cells, time) float64 nan nan nan ... nan nan nan\n",
       "Attributes:\n",
       "    description:  ADCP data munged data from a DCPS file. By Callum Rollo 202..."
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.Dataset(\n",
    "    data_vars=data_vars,\n",
    "    coords=dict(\n",
    "        cells=cell_ids,\n",
    "        time=profile_dict[\"time_start\"] ,\n",
    "    ),\n",
    "    attrs=dict(description=\"ADCP data munged data from a DCPS file. By Callum Rollo 2022-08-30\"),\n",
    ")\n",
    "\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82b5720a-8f94-4eba-81fb-073c6533c36d",
   "metadata": {},
   "source": [
    "# Examine data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "786689a1-1e1c-483a-98de-6e1b39ae0573",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get rid of the first few samples from bench testing (specific to this dataset)\n",
    "ds = ds.sel(time=slice(ds.time.values[17], ds.time.values[-1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d24230c4-d2a7-4074-9665-a1391077eba8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Quick plot of horisontal speed\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "ds['Horizontal Speed[cm/s]'].plot(ax=ax)\n",
    "ax.invert_yaxis()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7e06fac-7093-4a5f-ac3d-d0bc7873b4c3",
   "metadata": {},
   "source": [
    "### Subset the data for more in depth investigation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6b698003-fcc1-477c-a62e-c124a13e60e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_sub = ds.sel(time=slice(ds.time.values[0], ds.time.values[100]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1cd53a78-d347-4f2a-8b2f-fc8c623fdd9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2,1, figsize=(12, 8), sharex=\"col\")\n",
    "ax[0].plot(ds_sub.time, ds_sub['Heading[Deg.M]'], label=\"SB Heading\")\n",
    "ax[0].plot(ds_sub.time, ds_sub['Std Dev Heading[Deg.M]'], label=\"SB Heading std. dev\")\n",
    "\n",
    "ax[0].legend()\n",
    "pcol = ax[1].pcolor(ds_sub.time, ds_sub.cells, ds_sub['Direction[Deg.M]'], vmin=0, vmax=360, cmap=\"RdBu\")\n",
    "\n",
    "fig.subplots_adjust(right=0.88)\n",
    "cbar_ax = fig.add_axes([0.95, 0.08, 0.035, 0.8])\n",
    "fig.colorbar(pcol, cax=cbar_ax, label=\"ADCP heading\");\n",
    "\n",
    "ax[1].invert_yaxis()\n",
    "ax[1].set(ylabel=\"Cell number\")\n",
    "\n",
    "ax[1].xaxis.set_major_locator(HourLocator((0, 6, 12, 18)))\n",
    "ax[1].xaxis.set_major_formatter(DateFormatter(\"%y-%m-%d %H\"))\n",
    "ax[1].xaxis.set_tick_params(rotation=45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f3a54ca8-c78c-4bb8-8795-2eaf1f0349e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2,1, figsize=(12, 8), sharex=\"col\")\n",
    "ax[0].plot(ds_sub.time, ds_sub['Heading[Deg.M]'], label=\"SB Heading\")\n",
    "ax[0].plot(ds_sub.time, ds_sub['Std Dev Heading[Deg.M]'], label=\"SB Heading std. dev\")\n",
    "\n",
    "ax[0].legend()\n",
    "pcol = ax[1].pcolor(ds_sub.time, ds_sub.cells, ds_sub['Horizontal Speed[cm/s]'])\n",
    "\n",
    "fig.subplots_adjust(right=0.88)\n",
    "cbar_ax = fig.add_axes([0.95, 0.08, 0.035, 0.8])\n",
    "fig.colorbar(pcol, cax=cbar_ax, label=\"ADCP velocity (cm/s)\");\n",
    "\n",
    "ax[1].invert_yaxis()\n",
    "ax[1].set(ylabel=\"Cell number\")\n",
    "ax[1].xaxis.set_major_locator(HourLocator((0, 6, 12, 18)))\n",
    "ax[1].xaxis.set_major_formatter(DateFormatter(\"%y-%m-%d %H\"))\n",
    "ax[1].xaxis.set_tick_params(rotation=45)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4e4f576-a958-4d87-8a83-8bacec16dbb9",
   "metadata": {},
   "source": [
    "--------------------------\n",
    "\n",
    "# TODO\n",
    "- establish vessel speed over ground from GPS start and end\n",
    "- make netCDF pretty/CF compliant\n",
    "- add proper units etc\n",
    "- work out what the extra ADCP variables that begin in an asterisk are. Flagged bad perhaps?\n",
    "- Pull in data from other sensors with timestamp matching for comparison, e.g. wave hight, wind speed etc."
   ]
  }
 ],
 "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": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}