{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Accessing Argo data by float using Argopy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the usual suspects:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "xr.set_options(display_style=\"html\", display_expand_attrs=False);\n",
    "from matplotlib import pyplot as plt\n",
    "plt.style.use('default')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import argopy and set-up a data fetcher:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/gmaze/miniconda3/envs/aos/lib/python3.10/site-packages/pyproj/__init__.py:89: UserWarning: pyproj unable to set database path.\n",
      "  _pyproj_global_context_initialize()\n"
     ]
    }
   ],
   "source": [
    "from argopy import DataFetcher as ArgoDataFetcher\n",
    "argo_loader = ArgoDataFetcher(src='erddap', cache=True, cachedir='tmp')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can load all profiles from a float:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "apDS = argo_loader.float(6901254).load().data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "or a single cycle:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "argo_loader = argo_loader.profile(6901254, 1).load()\n",
    "apDS2 = argo_loader.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (N_PROF: 2, N_LEVELS: 97)\n",
       "Coordinates:\n",
       "  * N_PROF                 (N_PROF) int64 0 1\n",
       "  * N_LEVELS               (N_LEVELS) int64 0 1 2 3 4 5 6 ... 91 92 93 94 95 96\n",
       "    LATITUDE               (N_PROF) float64 29.16 29.18\n",
       "    LONGITUDE              (N_PROF) float64 -15.49 -15.43\n",
       "    TIME                   (N_PROF) datetime64[ns] 2018-10-23T20:54:00 2018-1...\n",
       "Data variables: (12/13)\n",
       "    CONFIG_MISSION_NUMBER  (N_PROF) int64 1 1\n",
       "    CYCLE_NUMBER           (N_PROF) int64 1 1\n",
       "    DATA_MODE              (N_PROF) &lt;U1 &#x27;R&#x27; &#x27;R&#x27;\n",
       "    DIRECTION              (N_PROF) &lt;U1 &#x27;D&#x27; &#x27;A&#x27;\n",
       "    PLATFORM_NUMBER        (N_PROF) int64 6901254 6901254\n",
       "    POSITION_QC            (N_PROF) int64 1 1\n",
       "    ...                     ...\n",
       "    PRES_QC                (N_PROF) int64 1 1\n",
       "    PSAL                   (N_PROF, N_LEVELS) float64 36.69 36.71 ... 35.14\n",
       "    PSAL_QC                (N_PROF) int64 1 1\n",
       "    TEMP                   (N_PROF, N_LEVELS) float64 23.4 23.35 ... 4.559 4.474\n",
       "    TEMP_QC                (N_PROF) int64 1 1\n",
       "    TIME_QC                (N_PROF) int64 1 1\n",
       "Attributes: (8)</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-3bef329c-8bcb-41b4-bec9-6f262d6d2d72' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3bef329c-8bcb-41b4-bec9-6f262d6d2d72' 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'>N_PROF</span>: 2</li><li><span class='xr-has-index'>N_LEVELS</span>: 97</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ce81473c-e279-4239-a6d2-dc65418da72a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce81473c-e279-4239-a6d2-dc65418da72a' class='xr-section-summary' >Coordinates: <span>(5)</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'>N_PROF</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-fe99424c-4deb-4c00-8601-45b95fd85e4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe99424c-4deb-4c00-8601-45b95fd85e4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84e3b4d9-22a4-4fa2-830c-c7af485f0834' class='xr-var-data-in' type='checkbox'><label for='data-84e3b4d9-22a4-4fa2-830c-c7af485f0834' 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'><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>N_LEVELS</span></div><div class='xr-var-dims'>(N_LEVELS)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 91 92 93 94 95 96</div><input id='attrs-81ddf1e6-ff66-48b5-86e1-d03a26b24605' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81ddf1e6-ff66-48b5-86e1-d03a26b24605' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4a8e549-3bdf-4775-b427-42c2c7c7dafc' class='xr-var-data-in' type='checkbox'><label for='data-e4a8e549-3bdf-4775-b427-42c2c7c7dafc' 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'><dt><span>casted :</span></dt><dd>1</dd></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, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
       "       90, 91, 92, 93, 94, 95, 96])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LATITUDE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.16 29.18</div><input id='attrs-a533ff23-084a-4cd8-ae4e-432d2f6a77e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a533ff23-084a-4cd8-ae4e-432d2f6a77e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07e42481-6b6b-43fa-b1cd-05c32651c05e' class='xr-var-data-in' type='checkbox'><label for='data-07e42481-6b6b-43fa-b1cd-05c32651c05e' 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'><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd><dt><span>actual_range :</span></dt><dd>[29.162 29.182]</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>colorBarMaximum :</span></dt><dd>90.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-90.0</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Latitude of the station, best estimate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([29.162, 29.182])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LONGITUDE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-15.49 -15.43</div><input id='attrs-a87f1c2b-2cab-4cf0-9861-dd31ff45f809' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a87f1c2b-2cab-4cf0-9861-dd31ff45f809' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-428118d7-07d9-4ec3-9f91-8c4f2a0d952f' class='xr-var-data-in' type='checkbox'><label for='data-428118d7-07d9-4ec3-9f91-8c4f2a0d952f' 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'><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd><dt><span>actual_range :</span></dt><dd>[-15.488 -15.429]</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>colorBarMaximum :</span></dt><dd>180.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-180.0</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Longitude of the station, best estimate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([-15.488, -15.429])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TIME</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-10-23T20:54:00 2018-10-25T0...</div><input id='attrs-09f03d22-d9a5-4456-974c-3f85836c45cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09f03d22-d9a5-4456-974c-3f85836c45cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d890d3d4-627a-4e76-b842-20b3ecb5d7bb' class='xr-var-data-in' type='checkbox'><label for='data-d890d3d4-627a-4e76-b842-20b3ecb5d7bb' 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'><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd><dt><span>actual_range :</span></dt><dd>[1.54032804e+09 1.54044540e+09]</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>ioos_category :</span></dt><dd>Time</dd><dt><span>long_name :</span></dt><dd>Julian day (UTC) of the station relative to REFERENCE_DATE_TIME</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>01-JAN-1970 00:00:00</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-10-23T20:54:00.000000000&#x27;, &#x27;2018-10-25T05:30:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de325b6d-0c8f-41c5-9198-092a15eee8ac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de325b6d-0c8f-41c5-9198-092a15eee8ac' class='xr-section-summary' >Data variables: <span>(13)</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>CONFIG_MISSION_NUMBER</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1</div><input id='attrs-6654598b-ecfc-4268-ab5a-418c591d8b5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6654598b-ecfc-4268-ab5a-418c591d8b5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e6e3c0b-798c-4103-a692-607aa66665a9' class='xr-var-data-in' type='checkbox'><label for='data-9e6e3c0b-798c-4103-a692-607aa66665a9' 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'><dt><span>actual_range :</span></dt><dd>[1 1]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>conventions :</span></dt><dd>1...N, 1 : first complete mission</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>Unique number denoting the missions performed by the float</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([1, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1</div><input id='attrs-70423d38-16d5-4a05-a683-be92abf0e6c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70423d38-16d5-4a05-a683-be92abf0e6c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3db82a63-074e-4554-b33a-6a49c7ddf0f3' class='xr-var-data-in' type='checkbox'><label for='data-3db82a63-074e-4554-b33a-6a49c7ddf0f3' 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'><dt><span>long_name :</span></dt><dd>Float cycle number</dd><dt><span>convention :</span></dt><dd>0..N, 0 : launch cycle (if exists), 1 : first complete cycle</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([1, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_MODE</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;R&#x27; &#x27;R&#x27;</div><input id='attrs-dcd89155-14cb-4060-9871-1364718ef7bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcd89155-14cb-4060-9871-1364718ef7bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8a13bef-92e0-42bb-a3a9-6b2ff4fd805d' class='xr-var-data-in' type='checkbox'><label for='data-a8a13bef-92e0-42bb-a3a9-6b2ff4fd805d' 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'><dt><span>long_name :</span></dt><dd>Delayed mode or real time data</dd><dt><span>convention :</span></dt><dd>R : real time; D : delayed mode; A : real time with adjustment</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;R&#x27;, &#x27;R&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DIRECTION</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;D&#x27; &#x27;A&#x27;</div><input id='attrs-2f3d701f-feda-43bc-8119-1157a8b17610' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f3d701f-feda-43bc-8119-1157a8b17610' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20fe76b3-76a5-44ea-97d4-6372a7741977' class='xr-var-data-in' type='checkbox'><label for='data-20fe76b3-76a5-44ea-97d4-6372a7741977' 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'><dt><span>long_name :</span></dt><dd>Direction of the station profiles</dd><dt><span>convention :</span></dt><dd>A: ascending profiles, D: descending profiles</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;D&#x27;, &#x27;A&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PLATFORM_NUMBER</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>6901254 6901254</div><input id='attrs-c3cbc09a-66ed-4c36-aed3-18f5c0d86516' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3cbc09a-66ed-4c36-aed3-18f5c0d86516' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66175302-e133-4713-93f5-5ddb4a606b95' class='xr-var-data-in' type='checkbox'><label for='data-66175302-e133-4713-93f5-5ddb4a606b95' 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'><dt><span>long_name :</span></dt><dd>Float unique identifier</dd><dt><span>convention :</span></dt><dd>WMO float identifier : A9IIIII</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([6901254, 6901254])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITION_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1</div><input id='attrs-1e9d44d2-e950-4f1c-a42e-783201f70aea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e9d44d2-e950-4f1c-a42e-783201f70aea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2adebaa2-fc52-48ee-8c8a-4fc8d45e1ec7' class='xr-var-data-in' type='checkbox'><label for='data-2adebaa2-fc52-48ee-8c8a-4fc8d45e1ec7' 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'><dt><span>long_name :</span></dt><dd>Global quality flag of POSITION_QC profile</dd><dt><span>convention :</span></dt><dd>Argo reference table 2a</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([1, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.0 24.0 ... 1.988e+03 2.011e+03</div><input id='attrs-f0e9ed5b-f642-4e68-8226-8fad26185f71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0e9ed5b-f642-4e68-8226-8fad26185f71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7699bb7e-3918-4799-9337-c5de8f93cbc1' class='xr-var-data-in' type='checkbox'><label for='data-7699bb7e-3918-4799-9337-c5de8f93cbc1' 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'><dt><span>long_name :</span></dt><dd>Sea Pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>12000.0</dd><dt><span>resolution :</span></dt><dd>0.1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[  14.,   24.,   34.,   45.,   54.,   65.,   75.,   84.,   94.,\n",
       "         104.,  114.,  125.,  135.,  145.,  154.,  164.,  175.,  185.,\n",
       "         195.,  212.,  237.,  262.,  287.,  312.,  337.,  362.,  387.,\n",
       "         412.,  437.,  462.,  486.,  512.,  537.,  563.,  587.,  612.,\n",
       "         637.,  662.,  687.,  712.,  737.,  762.,  787.,  812.,  837.,\n",
       "         862.,  887.,  912.,  937.,  962.,  978.,   nan,   nan,   nan,\n",
       "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
       "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
       "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
       "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
       "          nan,   nan,   nan,   nan,   nan,   nan,   nan],\n",
       "       [   6.,    7.,    8.,    9.,   10.,   15.,   25.,   36.,   45.,\n",
       "          55.,   66.,   76.,   86.,   96.,  105.,  115.,  125.,  135.,\n",
       "         146.,  155.,  165.,  175.,  185.,  195.,  213.,  238.,  263.,\n",
       "         288.,  313.,  338.,  363.,  388.,  414.,  438.,  463.,  488.,\n",
       "         513.,  538.,  563.,  588.,  613.,  638.,  663.,  688.,  713.,\n",
       "         738.,  763.,  788.,  813.,  838.,  863.,  888.,  913.,  938.,\n",
       "         963.,  988., 1013., 1038., 1063., 1088., 1113., 1138., 1163.,\n",
       "        1188., 1213., 1238., 1263., 1288., 1313., 1338., 1363., 1388.,\n",
       "        1414., 1438., 1463., 1488., 1513., 1538., 1564., 1588., 1613.,\n",
       "        1638., 1663., 1688., 1713., 1738., 1763., 1788., 1813., 1838.,\n",
       "        1863., 1888., 1913., 1938., 1963., 1988., 2011.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1</div><input id='attrs-d5dfd9e3-97af-413f-9ff8-9b6a392beb2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5dfd9e3-97af-413f-9ff8-9b6a392beb2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f93d629-857c-434c-970a-5779f13cb450' class='xr-var-data-in' type='checkbox'><label for='data-2f93d629-857c-434c-970a-5779f13cb450' 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'><dt><span>long_name :</span></dt><dd>Global quality flag of PRES_QC profile</dd><dt><span>convention :</span></dt><dd>Argo reference table 2a</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([1, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.69 36.71 36.71 ... 35.15 35.14</div><input id='attrs-29166f35-dbe3-4e87-9b76-10bcc7ca844b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29166f35-dbe3-4e87-9b76-10bcc7ca844b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8948fddd-d1c4-4323-9014-78ea43db9a66' class='xr-var-data-in' type='checkbox'><label for='data-8948fddd-d1c4-4323-9014-78ea43db9a66' 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'><dt><span>long_name :</span></dt><dd>PRACTICAL SALINITY</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>43.0</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[36.69400024, 36.70500183, 36.70899963, 36.67499924, 36.52199936,\n",
       "        36.51699829, 36.52000046, 36.51699829, 36.51200104, 36.50099945,\n",
       "        36.50400162, 36.48199844, 36.42900085, 36.41400146, 36.38800049,\n",
       "        36.36000061, 36.3429985 , 36.31999969, 36.28099823, 36.19800186,\n",
       "        36.07400131, 35.97100067, 35.89899826, 35.85900116, 35.82500076,\n",
       "        35.78499985, 35.73899841, 35.7179985 , 35.68999863, 35.67699814,\n",
       "        35.64400101, 35.60599899, 35.58300018, 35.56399918, 35.53499985,\n",
       "        35.51499939, 35.48699951, 35.45500183, 35.43899918, 35.41699982,\n",
       "        35.39599991, 35.38100052, 35.37400055, 35.36999893, 35.35699844,\n",
       "        35.34600067, 35.33599854, 35.34199905, 35.35599899, 35.37400055,\n",
       "        35.39199829,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan],\n",
       "       [36.6969986 , 36.6969986 , 36.6969986 , 36.69800186, 36.69800186,\n",
       "        36.69900131, 36.70600128, 36.70199966, 36.55799866, 36.47100067,\n",
       "        36.43700027, 36.46300125, 36.49300003, 36.45999908, 36.42200089,\n",
       "        36.41400146, 36.39799881, 36.3429985 , 36.3030014 , 36.27199936,\n",
       "        36.23500061, 36.20600128, 36.17200089, 36.12799835, 36.06700134,\n",
       "        35.98600006, 35.92399979, 35.85900116, 35.81100082, 35.77099991,\n",
       "        35.7480011 , 35.72200012, 35.68799973, 35.66199875, 35.63600159,\n",
       "        35.59999847, 35.57699966, 35.55599976, 35.5320015 , 35.50999832,\n",
       "        35.48600006, 35.46500015, 35.44100189, 35.42900085, 35.4129982 ,\n",
       "        35.40200043, 35.39099884, 35.38600159, 35.37799835, 35.36100006,\n",
       "        35.34799957, 35.34600067, 35.35499954, 35.3769989 , 35.39799881,\n",
       "        35.41400146, 35.43000031, 35.43600082, 35.44200134, 35.45399857,\n",
       "        35.47000122, 35.49499893, 35.52999878, 35.54399872, 35.53300095,\n",
       "        35.50099945, 35.47600174, 35.45500183, 35.43500137, 35.41799927,\n",
       "        35.4109993 , 35.40800095, 35.38700104, 35.38600159, 35.37900162,\n",
       "        35.375     , 35.36299896, 35.35499954, 35.3409996 , 35.32899857,\n",
       "        35.32400131, 35.30400085, 35.29000092, 35.28300095, 35.27299881,\n",
       "        35.26200104, 35.2519989 , 35.2480011 , 35.23500061, 35.22499847,\n",
       "        35.21500015, 35.20600128, 35.1969986 , 35.18600082, 35.16899872,\n",
       "        35.15299988, 35.14199829]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1</div><input id='attrs-2cd28e78-5220-4fd8-bcc8-17c1b54e07be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cd28e78-5220-4fd8-bcc8-17c1b54e07be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45c2bd57-344d-47cc-ad8c-6fe2b76bac68' class='xr-var-data-in' type='checkbox'><label for='data-45c2bd57-344d-47cc-ad8c-6fe2b76bac68' 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'><dt><span>long_name :</span></dt><dd>Global quality flag of PSAL_QC profile</dd><dt><span>convention :</span></dt><dd>Argo reference table 2a</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([1, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP</span></div><div class='xr-var-dims'>(N_PROF, N_LEVELS)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.4 23.35 23.33 ... 4.559 4.474</div><input id='attrs-888ced30-58ee-4848-8ae0-936733bb87b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-888ced30-58ee-4848-8ae0-936733bb87b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dbcf07e-1603-42e3-b9d9-ab92462d4951' class='xr-var-data-in' type='checkbox'><label for='data-6dbcf07e-1603-42e3-b9d9-ab92462d4951' 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'><dt><span>long_name :</span></dt><dd>SEA TEMPERATURE IN SITU ITS-90 SCALE</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>valid_min :</span></dt><dd>-2.0</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[23.40299988, 23.34799957, 23.33499908, 23.00300026, 20.88699913,\n",
       "        19.76300049, 18.9279995 , 18.45599937, 18.12400055, 17.85099983,\n",
       "        17.68899918, 17.48800087, 17.12100029, 16.99699974, 16.80699921,\n",
       "        16.62299919, 16.48999977, 16.34399986, 16.11400032, 15.66100025,\n",
       "        14.94799995, 14.34200001, 13.85599995, 13.57999992, 13.31599998,\n",
       "        13.02000046, 12.63799953, 12.47700024, 12.22999954, 12.11299992,\n",
       "        11.80900002, 11.44200039, 11.22099972, 11.04300022, 10.7670002 ,\n",
       "        10.56900024, 10.30300045, 10.00399971,  9.82800007,  9.57499981,\n",
       "         9.30200005,  9.12800026,  9.00500011,  8.91800022,  8.74100018,\n",
       "         8.58300018,  8.43700027,  8.36900043,  8.36699963,  8.32999992,\n",
       "         8.34799957,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan,         nan,         nan,         nan,\n",
       "                nan,         nan],\n",
       "       [23.41200066, 23.41200066, 23.41399956, 23.41200066, 23.41300011,\n",
       "        23.40999985, 23.39800072, 23.36199951, 21.52000046, 19.5510006 ,\n",
       "        18.40800095, 17.9470005 , 17.68899918, 17.37800026, 17.0739994 ,\n",
       "        17.        , 16.86899948, 16.57600021, 16.33399963, 16.11300087,\n",
       "        15.88199997, 15.70199966, 15.48600006, 15.23400021, 14.8920002 ,\n",
       "        14.42199993, 14.02400017, 13.58100033, 13.24400043, 12.93299961,\n",
       "        12.75      , 12.52600002, 12.22200012, 11.99400043, 11.72599983,\n",
       "        11.39599991, 11.17599964, 10.98200035, 10.74100018, 10.52799988,\n",
       "        10.29300022, 10.09799957,  9.86800003,  9.73099995,  9.55300045,\n",
       "         9.39400005,  9.21399975,  9.09899998,  8.96500015,  8.79500008,\n",
       "         8.62699986,  8.50199986,  8.38799953,  8.3739996 ,  8.3739996 ,\n",
       "         8.36600018,  8.32900047,  8.24100018,  8.12800026,  8.08899975,\n",
       "         8.10599995,  8.0909996 ,  8.17099953,  8.17500019,  8.02900028,\n",
       "         7.79400015,  7.56799984,  7.40999985,  7.24399996,  7.08099985,\n",
       "         6.95800018,  6.88199997,  6.69000006,  6.63999987,  6.53800011,\n",
       "         6.45200014,  6.33699989,  6.25600004,  6.13100004,  6.01100016,\n",
       "         5.95300007,  5.78999996,  5.67700005,  5.60900021,  5.52899981,\n",
       "         5.44099998,  5.36299992,  5.32999992,  5.21799994,  5.1329999 ,\n",
       "         5.04699993,  4.97200012,  4.89300013,  4.8039999 ,  4.67999983,\n",
       "         4.55900002,  4.47399998]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1</div><input id='attrs-27a7d611-d3bd-407d-a6fe-1ea8f0719a17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27a7d611-d3bd-407d-a6fe-1ea8f0719a17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-659ecfc8-bcc1-4d83-a9a2-478401d2517d' class='xr-var-data-in' type='checkbox'><label for='data-659ecfc8-bcc1-4d83-a9a2-478401d2517d' 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'><dt><span>long_name :</span></dt><dd>Global quality flag of TEMP_QC profile</dd><dt><span>convention :</span></dt><dd>Argo reference table 2a</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([1, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TIME_QC</span></div><div class='xr-var-dims'>(N_PROF)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1</div><input id='attrs-5f180ffa-325e-4273-a99a-0da696817015' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f180ffa-325e-4273-a99a-0da696817015' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3e9da40-f9ac-4d31-a83a-ec637d5be4da' class='xr-var-data-in' type='checkbox'><label for='data-d3e9da40-f9ac-4d31-a83a-ec637d5be4da' 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'><dt><span>long_name :</span></dt><dd>Global quality flag of TIME_QC profile</dd><dt><span>convention :</span></dt><dd>Argo reference table 2a</dd><dt><span>casted :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([1, 1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-62874ac3-4e74-4c14-a903-43a2e4cc80f4' class='xr-section-summary-in' type='checkbox'  ><label for='section-62874ac3-4e74-4c14-a903-43a2e4cc80f4' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>DATA_ID :</span></dt><dd>ARGO</dd><dt><span>DOI :</span></dt><dd>http://doi.org/10.17882/42182</dd><dt><span>Fetched_from :</span></dt><dd>https://www.ifremer.fr/erddap</dd><dt><span>Fetched_by :</span></dt><dd>gmaze</dd><dt><span>Fetched_date :</span></dt><dd>2022/04/11</dd><dt><span>Fetched_constraints :</span></dt><dd>phy;WMO6901254_CYC1</dd><dt><span>Fetched_uri :</span></dt><dd>[&#x27;https://www.ifremer.fr/erddap/tabledap/ArgoFloats.nc?data_mode,latitude,longitude,position_qc,time,time_qc,direction,platform_number,cycle_number,config_mission_number,vertical_sampling_scheme,pres,temp,psal,pres_qc,temp_qc,psal_qc,pres_adjusted,temp_adjusted,psal_adjusted,pres_adjusted_qc,temp_adjusted_qc,psal_adjusted_qc,pres_adjusted_error,temp_adjusted_error,psal_adjusted_error&amp;platform_number=~&quot;6901254&quot;&amp;cycle_number=~&quot;1&quot;&amp;distinct()&amp;orderBy(&quot;time,pres&quot;)&#x27;]</dd><dt><span>history :</span></dt><dd>Variables filtered according to DATA_MODE; Variables selected according to QC; Transformed with point2profile</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (N_PROF: 2, N_LEVELS: 97)\n",
       "Coordinates:\n",
       "  * N_PROF                 (N_PROF) int64 0 1\n",
       "  * N_LEVELS               (N_LEVELS) int64 0 1 2 3 4 5 6 ... 91 92 93 94 95 96\n",
       "    LATITUDE               (N_PROF) float64 29.16 29.18\n",
       "    LONGITUDE              (N_PROF) float64 -15.49 -15.43\n",
       "    TIME                   (N_PROF) datetime64[ns] 2018-10-23T20:54:00 2018-1...\n",
       "Data variables: (12/13)\n",
       "    CONFIG_MISSION_NUMBER  (N_PROF) int64 1 1\n",
       "    CYCLE_NUMBER           (N_PROF) int64 1 1\n",
       "    DATA_MODE              (N_PROF) <U1 'R' 'R'\n",
       "    DIRECTION              (N_PROF) <U1 'D' 'A'\n",
       "    PLATFORM_NUMBER        (N_PROF) int64 6901254 6901254\n",
       "    POSITION_QC            (N_PROF) int64 1 1\n",
       "    ...                     ...\n",
       "    PRES_QC                (N_PROF) int64 1 1\n",
       "    PSAL                   (N_PROF, N_LEVELS) float64 36.69 36.71 ... 35.14\n",
       "    PSAL_QC                (N_PROF) int64 1 1\n",
       "    TEMP                   (N_PROF, N_LEVELS) float64 23.4 23.35 ... 4.559 4.474\n",
       "    TEMP_QC                (N_PROF) int64 1 1\n",
       "    TIME_QC                (N_PROF) int64 1 1\n",
       "Attributes: (8)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = apDS2.argo.point2profile()\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The core-Argo profile files contain the core parameters provided by a float: pressure, temperature, salinity, conductivity (PRES, TEMP, PSAL, CNDC)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(8,10), sharey=True)\n",
    "\n",
    "#Temperature\n",
    "ax[0].plot(data.TEMP[0],-data.PRES[0],'ro',label='N_PROF=0 D Fetcher')\n",
    "ax[0].plot(data.TEMP[1],-data.PRES[1],'bo',label='N_PROF=1 A Fetcher')\n",
    "ax[0].set_title(data['TEMP'].attrs['long_name'])\n",
    "ax[0].set_ylabel(data['PRES'].attrs['long_name'])\n",
    "ax[0].grid()\n",
    "ax[0].legend();\n",
    "\n",
    "ax[1].plot(data.PSAL[0],-data.PRES[0],'ro',label='N_PROF=0 D Fetcher')\n",
    "ax[1].plot(data.PSAL[1],-data.PRES[1],'bo',label='N_PROF=1 A Fetcher')\n",
    "ax[1].set_title(data['TEMP'].attrs['long_name'])\n",
    "ax[1].grid()\n",
    "ax[1].legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "\n",
    "ax.plot(data.LONGITUDE[0],data.LATITUDE[0],'ko',label='001D N_PROF=0 Descending')\n",
    "ax.plot(data.LONGITUDE[1],data.LATITUDE[1],'bo',label='001 N_PROF=0 Ascending')\n",
    "ax.grid()\n",
    "ax.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 900x540 with 1 Axes>,\n",
       " <GeoAxesSubplot:xlabel='longitude', ylabel='latitude'>)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "argo_loader.plot('trajectory', set_global=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "AOS",
   "language": "python",
   "name": "aos"
  },
  "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"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}