notebooks/measurements.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "import datetime\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import requests\n",
    "\n",
    "import ddlpy\n",
    "\n",
    "# show what's happening in the background\n",
    "# this makes sure that we see log messages in the notebook\n",
    "logging.basicConfig()\n",
    "# show log messages of ddlpy\n",
    "ddlpy.ddlpy.logger.setLevel(logging.DEBUG)\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get a list of all known locations\n",
    "The  method locations gets a list of all known measurement locations by sending a request. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:ddlpy.ddlpy:requesting: https://waterwebservices.rijkswaterstaat.nl/METADATASERVICES_DBO/OphalenCatalogus with {\"CatalogusFilter\": {\"Eenheden\": true, \"Grootheden\": true, \"Hoedanigheden\": true, \"Groeperingen\": true, \"Parameters\": true, \"Compartimenten\": true}}\n"
     ]
    }
   ],
   "source": [
    "locations = ddlpy.locations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "locations.to_json(r'locations.json', orient='records')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Locatie_MessageID</th>\n",
       "      <th>Coordinatenstelsel</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Naam</th>\n",
       "      <th>Parameter_Wat_Omschrijving</th>\n",
       "      <th>Compartiment.Code</th>\n",
       "      <th>Compartiment.Omschrijving</th>\n",
       "      <th>Eenheid.Code</th>\n",
       "      <th>Eenheid.Omschrijving</th>\n",
       "      <th>Grootheid.Code</th>\n",
       "      <th>Grootheid.Omschrijving</th>\n",
       "      <th>Hoedanigheid.Code</th>\n",
       "      <th>Hoedanigheid.Omschrijving</th>\n",
       "      <th>Parameter.Code</th>\n",
       "      <th>Parameter.Omschrijving</th>\n",
       "      <th>Groepering.Code</th>\n",
       "      <th>Groepering.Omschrijving</th>\n",
       "      <th>Code</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ROTTMPT3</th>\n",
       "      <td>9486</td>\n",
       "      <td>25831</td>\n",
       "      <td>735924.084551</td>\n",
       "      <td>5.941073e+06</td>\n",
       "      <td>Rottumerplaat 3 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>ROTTMPT3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHOUWN10</th>\n",
       "      <td>9510</td>\n",
       "      <td>25831</td>\n",
       "      <td>534120.858324</td>\n",
       "      <td>5.729921e+06</td>\n",
       "      <td>Schouwen 10 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>SCHOUWN10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TERSLG235</th>\n",
       "      <td>9518</td>\n",
       "      <td>25831</td>\n",
       "      <td>509938.998556</td>\n",
       "      <td>6.113888e+06</td>\n",
       "      <td>Terschelling 235 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>TERSLG235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WALCRN2</th>\n",
       "      <td>9526</td>\n",
       "      <td>25831</td>\n",
       "      <td>528394.396027</td>\n",
       "      <td>5.710854e+06</td>\n",
       "      <td>Walcheren 2 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>WALCRN2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOERE6</th>\n",
       "      <td>9542</td>\n",
       "      <td>25831</td>\n",
       "      <td>560056.490959</td>\n",
       "      <td>5.746818e+06</td>\n",
       "      <td>Goeree 6 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>GOERE6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Locatie_MessageID Coordinatenstelsel              X             Y  \\\n",
       "Code                                                                           \n",
       "ROTTMPT3                9486              25831  735924.084551  5.941073e+06   \n",
       "SCHOUWN10               9510              25831  534120.858324  5.729921e+06   \n",
       "TERSLG235               9518              25831  509938.998556  6.113888e+06   \n",
       "WALCRN2                 9526              25831  528394.396027  5.710854e+06   \n",
       "GOERE6                  9542              25831  560056.490959  5.746818e+06   \n",
       "\n",
       "                                      Naam  \\\n",
       "Code                                         \n",
       "ROTTMPT3    Rottumerplaat 3 km uit de kust   \n",
       "SCHOUWN10       Schouwen 10 km uit de kust   \n",
       "TERSLG235  Terschelling 235 km uit de kust   \n",
       "WALCRN2         Walcheren 2 km uit de kust   \n",
       "GOERE6             Goeree 6 km uit de kust   \n",
       "\n",
       "                                  Parameter_Wat_Omschrijving  \\\n",
       "Code                                                           \n",
       "ROTTMPT3   Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "SCHOUWN10  Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "TERSLG235  Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "WALCRN2    Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "GOERE6     Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "\n",
       "          Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
       "Code                                                                 \n",
       "ROTTMPT3                 BS            Bodem/Sediment            %   \n",
       "SCHOUWN10                BS            Bodem/Sediment            %   \n",
       "TERSLG235                BS            Bodem/Sediment            %   \n",
       "WALCRN2                  BS            Bodem/Sediment            %   \n",
       "GOERE6                   BS            Bodem/Sediment            %   \n",
       "\n",
       "          Eenheid.Omschrijving Grootheid.Code Grootheid.Omschrijving  \\\n",
       "Code                                                                   \n",
       "ROTTMPT3               procent            KGF   Korrelgroottefractie   \n",
       "SCHOUWN10              procent            KGF   Korrelgroottefractie   \n",
       "TERSLG235              procent            KGF   Korrelgroottefractie   \n",
       "WALCRN2                procent            KGF   Korrelgroottefractie   \n",
       "GOERE6                 procent            KGF   Korrelgroottefractie   \n",
       "\n",
       "          Hoedanigheid.Code                 Hoedanigheid.Omschrijving  \\\n",
       "Code                                                                    \n",
       "ROTTMPT3           Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "SCHOUWN10          Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "TERSLG235          Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "WALCRN2            Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "GOERE6             Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "\n",
       "          Parameter.Code         Parameter.Omschrijving Groepering.Code  \\\n",
       "Code                                                                      \n",
       "ROTTMPT3             NVT  Waarde is niet van toepassing             NVT   \n",
       "SCHOUWN10            NVT  Waarde is niet van toepassing             NVT   \n",
       "TERSLG235            NVT  Waarde is niet van toepassing             NVT   \n",
       "WALCRN2              NVT  Waarde is niet van toepassing             NVT   \n",
       "GOERE6               NVT  Waarde is niet van toepassing             NVT   \n",
       "\n",
       "          Groepering.Omschrijving       Code  \n",
       "Code                                          \n",
       "ROTTMPT3      Niet van toepassing   ROTTMPT3  \n",
       "SCHOUWN10     Niet van toepassing  SCHOUWN10  \n",
       "TERSLG235     Niet van toepassing  TERSLG235  \n",
       "WALCRN2       Niet van toepassing    WALCRN2  \n",
       "GOERE6        Niet van toepassing     GOERE6  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# also add code as a variable\n",
    "locations['Code'] = locations.index\n",
    "locations.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Validate\n",
    "Check  if data is in the domain of the Netherlands. It also includes data of the North Sea."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1cfc3a27bd0>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a spatial plot\n",
    "fig, ax = plt.subplots(figsize=(13, 8))\n",
    "ax.plot(locations.X, locations.Y, 'k.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Locatie_MessageID</th>\n",
       "      <th>Coordinatenstelsel</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Naam</th>\n",
       "      <th>Parameter_Wat_Omschrijving</th>\n",
       "      <th>Compartiment.Code</th>\n",
       "      <th>Compartiment.Omschrijving</th>\n",
       "      <th>Eenheid.Code</th>\n",
       "      <th>Eenheid.Omschrijving</th>\n",
       "      <th>Grootheid.Code</th>\n",
       "      <th>Grootheid.Omschrijving</th>\n",
       "      <th>Hoedanigheid.Code</th>\n",
       "      <th>Hoedanigheid.Omschrijving</th>\n",
       "      <th>Parameter.Code</th>\n",
       "      <th>Parameter.Omschrijving</th>\n",
       "      <th>Groepering.Code</th>\n",
       "      <th>Groepering.Omschrijving</th>\n",
       "      <th>Code</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RIEDBG</th>\n",
       "      <td>11039</td>\n",
       "      <td>25831</td>\n",
       "      <td>1.133985e+06</td>\n",
       "      <td>5.460049e+06</td>\n",
       "      <td>Riedenburg</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>PLAATSLR</td>\n",
       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>RIEDBG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAMBG</th>\n",
       "      <td>13481</td>\n",
       "      <td>25831</td>\n",
       "      <td>1.066035e+06</td>\n",
       "      <td>5.555525e+06</td>\n",
       "      <td>Bamberg</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>PLAATSLR</td>\n",
       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>BAMBG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STEINBCH</th>\n",
       "      <td>11103</td>\n",
       "      <td>25831</td>\n",
       "      <td>9.715529e+05</td>\n",
       "      <td>5.559332e+06</td>\n",
       "      <td>Steinbach</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>PLAATSLR</td>\n",
       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>STEINBCH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KONSZ</th>\n",
       "      <td>13512</td>\n",
       "      <td>25831</td>\n",
       "      <td>9.642014e+05</td>\n",
       "      <td>5.295846e+06</td>\n",
       "      <td>Konstanz</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>PLAATSLR</td>\n",
       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>KONSZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SPEYER</th>\n",
       "      <td>11067</td>\n",
       "      <td>25831</td>\n",
       "      <td>8.958191e+05</td>\n",
       "      <td>5.477785e+06</td>\n",
       "      <td>Speyer</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. plaatselij...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>PLAATSLR</td>\n",
       "      <td>t.o.v. plaatselijk referentievlak</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>SPEYER</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Locatie_MessageID Coordinatenstelsel             X             Y  \\\n",
       "Code                                                                         \n",
       "RIEDBG                11039              25831  1.133985e+06  5.460049e+06   \n",
       "BAMBG                 13481              25831  1.066035e+06  5.555525e+06   \n",
       "STEINBCH              11103              25831  9.715529e+05  5.559332e+06   \n",
       "KONSZ                 13512              25831  9.642014e+05  5.295846e+06   \n",
       "SPEYER                11067              25831  8.958191e+05  5.477785e+06   \n",
       "\n",
       "                Naam                         Parameter_Wat_Omschrijving  \\\n",
       "Code                                                                      \n",
       "RIEDBG    Riedenburg  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
       "BAMBG        Bamberg  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
       "STEINBCH   Steinbach  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
       "KONSZ       Konstanz  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
       "SPEYER        Speyer  Waterhoogte Oppervlaktewater t.o.v. plaatselij...   \n",
       "\n",
       "         Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
       "Code                                                                \n",
       "RIEDBG                  OW          Oppervlaktewater           cm   \n",
       "BAMBG                   OW          Oppervlaktewater           cm   \n",
       "STEINBCH                OW          Oppervlaktewater           cm   \n",
       "KONSZ                   OW          Oppervlaktewater           cm   \n",
       "SPEYER                  OW          Oppervlaktewater           cm   \n",
       "\n",
       "         Eenheid.Omschrijving Grootheid.Code Grootheid.Omschrijving  \\\n",
       "Code                                                                  \n",
       "RIEDBG             centimeter         WATHTE            Waterhoogte   \n",
       "BAMBG              centimeter         WATHTE            Waterhoogte   \n",
       "STEINBCH           centimeter         WATHTE            Waterhoogte   \n",
       "KONSZ              centimeter         WATHTE            Waterhoogte   \n",
       "SPEYER             centimeter         WATHTE            Waterhoogte   \n",
       "\n",
       "         Hoedanigheid.Code          Hoedanigheid.Omschrijving Parameter.Code  \\\n",
       "Code                                                                           \n",
       "RIEDBG            PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
       "BAMBG             PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
       "STEINBCH          PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
       "KONSZ             PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
       "SPEYER            PLAATSLR  t.o.v. plaatselijk referentievlak            NVT   \n",
       "\n",
       "                 Parameter.Omschrijving Groepering.Code  \\\n",
       "Code                                                      \n",
       "RIEDBG    Waarde is niet van toepassing             NVT   \n",
       "BAMBG     Waarde is niet van toepassing             NVT   \n",
       "STEINBCH  Waarde is niet van toepassing             NVT   \n",
       "KONSZ     Waarde is niet van toepassing             NVT   \n",
       "SPEYER    Waarde is niet van toepassing             NVT   \n",
       "\n",
       "         Groepering.Omschrijving      Code  \n",
       "Code                                        \n",
       "RIEDBG       Niet van toepassing    RIEDBG  \n",
       "BAMBG        Niet van toepassing     BAMBG  \n",
       "STEINBCH     Niet van toepassing  STEINBCH  \n",
       "KONSZ        Niet van toepassing     KONSZ  \n",
       "SPEYER       Niet van toepassing    SPEYER  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# CHECK See what the data in the east is.\n",
    "# These is a reference river for water quality near Chernobyl. \n",
    "locations.sort_values('X',  ascending=False).head(n=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Locatie_MessageID</th>\n",
       "      <th>Coordinatenstelsel</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Naam</th>\n",
       "      <th>Parameter_Wat_Omschrijving</th>\n",
       "      <th>Compartiment.Code</th>\n",
       "      <th>Compartiment.Omschrijving</th>\n",
       "      <th>Eenheid.Code</th>\n",
       "      <th>Eenheid.Omschrijving</th>\n",
       "      <th>Grootheid.Code</th>\n",
       "      <th>Grootheid.Omschrijving</th>\n",
       "      <th>Hoedanigheid.Code</th>\n",
       "      <th>Hoedanigheid.Omschrijving</th>\n",
       "      <th>Parameter.Code</th>\n",
       "      <th>Parameter.Omschrijving</th>\n",
       "      <th>Groepering.Code</th>\n",
       "      <th>Groepering.Omschrijving</th>\n",
       "      <th>Code</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>HOEKVHLD</th>\n",
       "      <td>10399</td>\n",
       "      <td>25831</td>\n",
       "      <td>576917.669784</td>\n",
       "      <td>5.759136e+06</td>\n",
       "      <td>Hoek van Holland</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>NAP</td>\n",
       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>HOEKVHLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHEVNGN</th>\n",
       "      <td>10406</td>\n",
       "      <td>25831</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>NAP</td>\n",
       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IJMDBTHVN</th>\n",
       "      <td>10414</td>\n",
       "      <td>25831</td>\n",
       "      <td>605633.035699</td>\n",
       "      <td>5.813598e+06</td>\n",
       "      <td>IJmuiden buitenhaven</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>NAP</td>\n",
       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>IJMDBTHVN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Locatie_MessageID Coordinatenstelsel              X             Y  \\\n",
       "Code                                                                           \n",
       "HOEKVHLD               10399              25831  576917.669784  5.759136e+06   \n",
       "SCHEVNGN               10406              25831  586550.994421  5.772806e+06   \n",
       "IJMDBTHVN              10414              25831  605633.035699  5.813598e+06   \n",
       "\n",
       "                           Naam  \\\n",
       "Code                              \n",
       "HOEKVHLD       Hoek van Holland   \n",
       "SCHEVNGN           Scheveningen   \n",
       "IJMDBTHVN  IJmuiden buitenhaven   \n",
       "\n",
       "                                  Parameter_Wat_Omschrijving  \\\n",
       "Code                                                           \n",
       "HOEKVHLD   Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
       "SCHEVNGN   Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
       "IJMDBTHVN  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
       "\n",
       "          Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
       "Code                                                                 \n",
       "HOEKVHLD                 OW          Oppervlaktewater           cm   \n",
       "SCHEVNGN                 OW          Oppervlaktewater           cm   \n",
       "IJMDBTHVN                OW          Oppervlaktewater           cm   \n",
       "\n",
       "          Eenheid.Omschrijving Grootheid.Code Grootheid.Omschrijving  \\\n",
       "Code                                                                   \n",
       "HOEKVHLD            centimeter         WATHTE            Waterhoogte   \n",
       "SCHEVNGN            centimeter         WATHTE            Waterhoogte   \n",
       "IJMDBTHVN           centimeter         WATHTE            Waterhoogte   \n",
       "\n",
       "          Hoedanigheid.Code       Hoedanigheid.Omschrijving Parameter.Code  \\\n",
       "Code                                                                         \n",
       "HOEKVHLD                NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
       "SCHEVNGN                NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
       "IJMDBTHVN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
       "\n",
       "                  Parameter.Omschrijving Groepering.Code  \\\n",
       "Code                                                       \n",
       "HOEKVHLD   Waarde is niet van toepassing             NVT   \n",
       "SCHEVNGN   Waarde is niet van toepassing             NVT   \n",
       "IJMDBTHVN  Waarde is niet van toepassing             NVT   \n",
       "\n",
       "          Groepering.Omschrijving       Code  \n",
       "Code                                          \n",
       "HOEKVHLD      Niet van toepassing   HOEKVHLD  \n",
       "SCHEVNGN      Niet van toepassing   SCHEVNGN  \n",
       "IJMDBTHVN     Niet van toepassing  IJMDBTHVN  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bool_stations = locations.index.isin(['HOEKVHLD', 'IJMDBTHVN','SCHEVNGN'])\n",
    "bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE']) # measured (WATHTE) versus computed/astro\n",
    "bool_groepering = locations['Groepering.Code'].isin(['NVT']) # timeseries (NVT) versus extremes\n",
    "bool_hoedanigheid = locations['Hoedanigheid.Code'].isin(['NAP']) # vertical reference (NAP/MSL)\n",
    "selected = locations.loc[bool_stations & bool_grootheid & bool_groepering & bool_hoedanigheid]\n",
    "selected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Locatie_MessageID</th>\n",
       "      <th>Coordinatenstelsel</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Naam</th>\n",
       "      <th>Parameter_Wat_Omschrijving</th>\n",
       "      <th>Compartiment.Code</th>\n",
       "      <th>Compartiment.Omschrijving</th>\n",
       "      <th>Eenheid.Code</th>\n",
       "      <th>Eenheid.Omschrijving</th>\n",
       "      <th>Grootheid.Code</th>\n",
       "      <th>Grootheid.Omschrijving</th>\n",
       "      <th>Hoedanigheid.Code</th>\n",
       "      <th>Hoedanigheid.Omschrijving</th>\n",
       "      <th>Parameter.Code</th>\n",
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       "    </tr>\n",
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       "      <th>Code</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ROTTMPT3</th>\n",
       "      <td>9486</td>\n",
       "      <td>25831</td>\n",
       "      <td>735924.084551</td>\n",
       "      <td>5.941073e+06</td>\n",
       "      <td>Rottumerplaat 3 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>ROTTMPT3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHOUWN10</th>\n",
       "      <td>9510</td>\n",
       "      <td>25831</td>\n",
       "      <td>534120.858324</td>\n",
       "      <td>5.729921e+06</td>\n",
       "      <td>Schouwen 10 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>SCHOUWN10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TERSLG235</th>\n",
       "      <td>9518</td>\n",
       "      <td>25831</td>\n",
       "      <td>509938.998556</td>\n",
       "      <td>6.113888e+06</td>\n",
       "      <td>Terschelling 235 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>TERSLG235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WALCRN2</th>\n",
       "      <td>9526</td>\n",
       "      <td>25831</td>\n",
       "      <td>528394.396027</td>\n",
       "      <td>5.710854e+06</td>\n",
       "      <td>Walcheren 2 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>WALCRN2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOERE6</th>\n",
       "      <td>9542</td>\n",
       "      <td>25831</td>\n",
       "      <td>560056.490959</td>\n",
       "      <td>5.746818e+06</td>\n",
       "      <td>Goeree 6 km uit de kust</td>\n",
       "      <td>Korrelgroottefractie Bodem/Sediment diameter g...</td>\n",
       "      <td>BS</td>\n",
       "      <td>Bodem/Sediment</td>\n",
       "      <td>%</td>\n",
       "      <td>procent</td>\n",
       "      <td>KGF</td>\n",
       "      <td>Korrelgroottefractie</td>\n",
       "      <td>Dg0016dg</td>\n",
       "      <td>diameter groter dan 16 um / drooggewicht</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>GOERE6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Locatie_MessageID Coordinatenstelsel              X             Y  \\\n",
       "Code                                                                           \n",
       "ROTTMPT3                9486              25831  735924.084551  5.941073e+06   \n",
       "SCHOUWN10               9510              25831  534120.858324  5.729921e+06   \n",
       "TERSLG235               9518              25831  509938.998556  6.113888e+06   \n",
       "WALCRN2                 9526              25831  528394.396027  5.710854e+06   \n",
       "GOERE6                  9542              25831  560056.490959  5.746818e+06   \n",
       "\n",
       "                                      Naam  \\\n",
       "Code                                         \n",
       "ROTTMPT3    Rottumerplaat 3 km uit de kust   \n",
       "SCHOUWN10       Schouwen 10 km uit de kust   \n",
       "TERSLG235  Terschelling 235 km uit de kust   \n",
       "WALCRN2         Walcheren 2 km uit de kust   \n",
       "GOERE6             Goeree 6 km uit de kust   \n",
       "\n",
       "                                  Parameter_Wat_Omschrijving  \\\n",
       "Code                                                           \n",
       "ROTTMPT3   Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "SCHOUWN10  Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "TERSLG235  Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "WALCRN2    Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "GOERE6     Korrelgroottefractie Bodem/Sediment diameter g...   \n",
       "\n",
       "          Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
       "Code                                                                 \n",
       "ROTTMPT3                 BS            Bodem/Sediment            %   \n",
       "SCHOUWN10                BS            Bodem/Sediment            %   \n",
       "TERSLG235                BS            Bodem/Sediment            %   \n",
       "WALCRN2                  BS            Bodem/Sediment            %   \n",
       "GOERE6                   BS            Bodem/Sediment            %   \n",
       "\n",
       "          Eenheid.Omschrijving Grootheid.Code Grootheid.Omschrijving  \\\n",
       "Code                                                                   \n",
       "ROTTMPT3               procent            KGF   Korrelgroottefractie   \n",
       "SCHOUWN10              procent            KGF   Korrelgroottefractie   \n",
       "TERSLG235              procent            KGF   Korrelgroottefractie   \n",
       "WALCRN2                procent            KGF   Korrelgroottefractie   \n",
       "GOERE6                 procent            KGF   Korrelgroottefractie   \n",
       "\n",
       "          Hoedanigheid.Code                 Hoedanigheid.Omschrijving  \\\n",
       "Code                                                                    \n",
       "ROTTMPT3           Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "SCHOUWN10          Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "TERSLG235          Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "WALCRN2            Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "GOERE6             Dg0016dg  diameter groter dan 16 um / drooggewicht   \n",
       "\n",
       "          Parameter.Code         Parameter.Omschrijving Groepering.Code  \\\n",
       "Code                                                                      \n",
       "ROTTMPT3             NVT  Waarde is niet van toepassing             NVT   \n",
       "SCHOUWN10            NVT  Waarde is niet van toepassing             NVT   \n",
       "TERSLG235            NVT  Waarde is niet van toepassing             NVT   \n",
       "WALCRN2              NVT  Waarde is niet van toepassing             NVT   \n",
       "GOERE6               NVT  Waarde is niet van toepassing             NVT   \n",
       "\n",
       "          Groepering.Omschrijving       Code  \n",
       "Code                                          \n",
       "ROTTMPT3      Niet van toepassing   ROTTMPT3  \n",
       "SCHOUWN10     Niet van toepassing  SCHOUWN10  \n",
       "TERSLG235     Niet van toepassing  TERSLG235  \n",
       "WALCRN2       Niet van toepassing    WALCRN2  \n",
       "GOERE6        Niet van toepassing     GOERE6  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names = 'uit de kust'\n",
    "selected = locations[locations.Naam.str.contains(names)].head()\n",
    "selected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Locatie_MessageID</th>\n",
       "      <th>Coordinatenstelsel</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Naam</th>\n",
       "      <th>Parameter_Wat_Omschrijving</th>\n",
       "      <th>Compartiment.Code</th>\n",
       "      <th>Compartiment.Omschrijving</th>\n",
       "      <th>Eenheid.Code</th>\n",
       "      <th>Eenheid.Omschrijving</th>\n",
       "      <th>Grootheid.Code</th>\n",
       "      <th>Grootheid.Omschrijving</th>\n",
       "      <th>Hoedanigheid.Code</th>\n",
       "      <th>Hoedanigheid.Omschrijving</th>\n",
       "      <th>Parameter.Code</th>\n",
       "      <th>Parameter.Omschrijving</th>\n",
       "      <th>Groepering.Code</th>\n",
       "      <th>Groepering.Omschrijving</th>\n",
       "      <th>Code</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SCHEVNGN</th>\n",
       "      <td>10406</td>\n",
       "      <td>25831</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTBRKD</td>\n",
       "      <td>Waterhoogte berekend</td>\n",
       "      <td>NAP</td>\n",
       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>GETETBRKD2</td>\n",
       "      <td>Getijextreem berekend</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHEVNGN</th>\n",
       "      <td>10406</td>\n",
       "      <td>25831</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTBRKD</td>\n",
       "      <td>Waterhoogte berekend</td>\n",
       "      <td>NAP</td>\n",
       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHEVNGN</th>\n",
       "      <td>10406</td>\n",
       "      <td>25831</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>NAP</td>\n",
       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>GETETM2</td>\n",
       "      <td>Getijextremen</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHEVNGN</th>\n",
       "      <td>10406</td>\n",
       "      <td>25831</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>Waterhoogte Oppervlaktewater t.o.v. Normaal Am...</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTE</td>\n",
       "      <td>Waterhoogte</td>\n",
       "      <td>NAP</td>\n",
       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHEVNGN</th>\n",
       "      <td>10406</td>\n",
       "      <td>25831</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>Waterhoogte astronomisch Oppervlaktewater t.o....</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm</td>\n",
       "      <td>centimeter</td>\n",
       "      <td>WATHTEASTRO</td>\n",
       "      <td>Waterhoogte astronomisch</td>\n",
       "      <td>NAP</td>\n",
       "      <td>t.o.v. Normaal Amsterdams Peil</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHEVNGN</th>\n",
       "      <td>10406</td>\n",
       "      <td>25831</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>Levendigheid Oppervlaktewater cm2</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>cm2</td>\n",
       "      <td>vierkante centimeter</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHEVNGN</th>\n",
       "      <td>10406</td>\n",
       "      <td>25831</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>Getijextreemtype Oppervlaktewater</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>DIMSLS</td>\n",
       "      <td>dimensieloos</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>GETETBRKD2</td>\n",
       "      <td>Getijextreem berekend</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHEVNGN</th>\n",
       "      <td>10406</td>\n",
       "      <td>25831</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>Getijextreemtype Oppervlaktewater</td>\n",
       "      <td>OW</td>\n",
       "      <td>Oppervlaktewater</td>\n",
       "      <td>DIMSLS</td>\n",
       "      <td>dimensieloos</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>GETETM2</td>\n",
       "      <td>Getijextremen</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Locatie_MessageID Coordinatenstelsel              X             Y  \\\n",
       "Code                                                                          \n",
       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
       "SCHEVNGN              10406              25831  586550.994421  5.772806e+06   \n",
       "\n",
       "                  Naam                         Parameter_Wat_Omschrijving  \\\n",
       "Code                                                                        \n",
       "SCHEVNGN  Scheveningen  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "SCHEVNGN  Scheveningen  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "SCHEVNGN  Scheveningen  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
       "SCHEVNGN  Scheveningen  Waterhoogte Oppervlaktewater t.o.v. Normaal Am...   \n",
       "SCHEVNGN  Scheveningen  Waterhoogte astronomisch Oppervlaktewater t.o....   \n",
       "SCHEVNGN  Scheveningen                  Levendigheid Oppervlaktewater cm2   \n",
       "SCHEVNGN  Scheveningen                 Getijextreemtype Oppervlaktewater    \n",
       "SCHEVNGN  Scheveningen                 Getijextreemtype Oppervlaktewater    \n",
       "\n",
       "         Compartiment.Code Compartiment.Omschrijving Eenheid.Code  \\\n",
       "Code                                                                \n",
       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
       "SCHEVNGN                OW          Oppervlaktewater           cm   \n",
       "SCHEVNGN                OW          Oppervlaktewater          cm2   \n",
       "SCHEVNGN                OW          Oppervlaktewater       DIMSLS   \n",
       "SCHEVNGN                OW          Oppervlaktewater       DIMSLS   \n",
       "\n",
       "          Eenheid.Omschrijving Grootheid.Code         Grootheid.Omschrijving  \\\n",
       "Code                                                                           \n",
       "SCHEVNGN            centimeter      WATHTBRKD           Waterhoogte berekend   \n",
       "SCHEVNGN            centimeter      WATHTBRKD           Waterhoogte berekend   \n",
       "SCHEVNGN            centimeter         WATHTE                    Waterhoogte   \n",
       "SCHEVNGN            centimeter         WATHTE                    Waterhoogte   \n",
       "SCHEVNGN            centimeter    WATHTEASTRO       Waterhoogte astronomisch   \n",
       "SCHEVNGN  vierkante centimeter            NVT  Waarde is niet van toepassing   \n",
       "SCHEVNGN          dimensieloos            NVT  Waarde is niet van toepassing   \n",
       "SCHEVNGN          dimensieloos            NVT  Waarde is niet van toepassing   \n",
       "\n",
       "         Hoedanigheid.Code       Hoedanigheid.Omschrijving Parameter.Code  \\\n",
       "Code                                                                        \n",
       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
       "SCHEVNGN               NAP  t.o.v. Normaal Amsterdams Peil            NVT   \n",
       "SCHEVNGN               NVT             niet van toepassing            NVT   \n",
       "SCHEVNGN               NVT             niet van toepassing            NVT   \n",
       "SCHEVNGN               NVT             niet van toepassing            NVT   \n",
       "\n",
       "                 Parameter.Omschrijving Groepering.Code  \\\n",
       "Code                                                      \n",
       "SCHEVNGN  Waarde is niet van toepassing      GETETBRKD2   \n",
       "SCHEVNGN  Waarde is niet van toepassing             NVT   \n",
       "SCHEVNGN  Waarde is niet van toepassing         GETETM2   \n",
       "SCHEVNGN  Waarde is niet van toepassing             NVT   \n",
       "SCHEVNGN  Waarde is niet van toepassing             NVT   \n",
       "SCHEVNGN  Waarde is niet van toepassing             NVT   \n",
       "SCHEVNGN  Waarde is niet van toepassing      GETETBRKD2   \n",
       "SCHEVNGN  Waarde is niet van toepassing         GETETM2   \n",
       "\n",
       "         Groepering.Omschrijving      Code  \n",
       "Code                                        \n",
       "SCHEVNGN   Getijextreem berekend  SCHEVNGN  \n",
       "SCHEVNGN     Niet van toepassing  SCHEVNGN  \n",
       "SCHEVNGN           Getijextremen  SCHEVNGN  \n",
       "SCHEVNGN     Niet van toepassing  SCHEVNGN  \n",
       "SCHEVNGN     Niet van toepassing  SCHEVNGN  \n",
       "SCHEVNGN     Niet van toepassing  SCHEVNGN  \n",
       "SCHEVNGN   Getijextreem berekend  SCHEVNGN  \n",
       "SCHEVNGN           Getijextremen  SCHEVNGN  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# numtiple parameters avaialble per location\n",
    "# each combination is a row\n",
    "records = locations.loc['SCHEVNGN']\n",
    "records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|                                                                                           | 0/13 [00:00<?, ?it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-01-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-02-01T00:00:00.000+00:00'}}\n",
      "  8%|██████▍                                                                            | 1/13 [00:00<00:07,  1.53it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-02-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-03-01T00:00:00.000+00:00'}}\n",
      " 15%|████████████▊                                                                      | 2/13 [00:01<00:07,  1.55it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-03-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-04-01T00:00:00.000+00:00'}}\n",
      " 23%|███████████████████▏                                                               | 3/13 [00:02<00:08,  1.16it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-04-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-05-01T00:00:00.000+00:00'}}\n",
      " 31%|█████████████████████████▌                                                         | 4/13 [00:03<00:07,  1.25it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-05-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-06-01T00:00:00.000+00:00'}}\n",
      " 38%|███████████████████████████████▉                                                   | 5/13 [00:03<00:06,  1.30it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-06-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-07-01T00:00:00.000+00:00'}}\n",
      " 46%|██████████████████████████████████████▎                                            | 6/13 [00:04<00:05,  1.32it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-07-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-08-01T00:00:00.000+00:00'}}\n",
      " 54%|████████████████████████████████████████████▋                                      | 7/13 [00:05<00:04,  1.38it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-08-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-09-01T00:00:00.000+00:00'}}\n",
      " 62%|███████████████████████████████████████████████████                                | 8/13 [00:05<00:03,  1.43it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-09-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-10-01T00:00:00.000+00:00'}}\n",
      " 69%|█████████████████████████████████████████████████████████▍                         | 9/13 [00:06<00:02,  1.46it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-10-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-11-01T00:00:00.000+00:00'}}\n",
      " 77%|███████████████████████████████████████████████████████████████                   | 10/13 [00:07<00:02,  1.48it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-11-01T00:00:00.000+00:00', 'Einddatumtijd': '2019-12-01T00:00:00.000+00:00'}}\n",
      " 85%|█████████████████████████████████████████████████████████████████████▍            | 11/13 [00:07<00:01,  1.52it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2019-12-01T00:00:00.000+00:00', 'Einddatumtijd': '2020-01-01T00:00:00.000+00:00'}}\n",
      " 92%|███████████████████████████████████████████████████████████████████████████▋      | 12/13 [00:08<00:00,  1.54it/s]DEBUG:ddlpy.ddlpy:requesting:  {'AquoPlusWaarnemingMetadata': {'AquoMetadata': {'Compartiment': {'Code': 'OW'}, 'Eenheid': {'Code': 'cm'}, 'Grootheid': {'Code': 'WATHTBRKD'}, 'Hoedanigheid': {'Code': 'NAP'}, 'Parameter': {'Code': 'NVT'}, 'Groepering': {'Code': 'GETETBRKD2'}}}, 'Locatie': {'X': 586550.994420996, 'Y': 5772806.43069697, 'Code': 'SCHEVNGN'}, 'Periode': {'Begindatumtijd': '2020-01-01T00:00:00.000+00:00', 'Einddatumtijd': '2020-02-01T00:00:00.000+00:00'}}\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 13/13 [00:09<00:00,  1.44it/s]\n",
      "DEBUG:ddlpy.ddlpy:0 duplicated values dropped\n"
     ]
    }
   ],
   "source": [
    "# if we pass one row to the measurements function you can get all the measurements\n",
    "measurements = ddlpy.measurements(records.iloc[0], datetime.datetime(2019,1,1), datetime.datetime(2020,2,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='time'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "measurements.plot(y='Meetwaarde.Waarde_Numeriek', linewidth=0.5, figsize=(13, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WaarnemingMetadata.StatuswaardeLijst</th>\n",
       "      <th>WaarnemingMetadata.BemonsteringshoogteLijst</th>\n",
       "      <th>WaarnemingMetadata.ReferentievlakLijst</th>\n",
       "      <th>WaarnemingMetadata.OpdrachtgevendeInstantieLijst</th>\n",
       "      <th>WaarnemingMetadata.KwaliteitswaardecodeLijst</th>\n",
       "      <th>AquoMetadata_MessageID</th>\n",
       "      <th>Parameter_Wat_Omschrijving</th>\n",
       "      <th>BemonsteringsApparaat.Code</th>\n",
       "      <th>BemonsteringsApparaat.Omschrijving</th>\n",
       "      <th>BemonsteringsMethode.Code</th>\n",
       "      <th>...</th>\n",
       "      <th>WaardeBepalingsmethode.Omschrijving</th>\n",
       "      <th>WaardeBewerkingsmethode.Code</th>\n",
       "      <th>WaardeBewerkingsmethode.Omschrijving</th>\n",
       "      <th>Meetwaarde.Waarde_Numeriek</th>\n",
       "      <th>Meetwaarde.Waarde_Alfanumeriek</th>\n",
       "      <th>Code</th>\n",
       "      <th>Coordinatenstelsel</th>\n",
       "      <th>Naam</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-01-01 07:15:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>-53.0</td>\n",
       "      <td>-53</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 11:25:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>86.0</td>\n",
       "      <td>86</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 19:20:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>-74.0</td>\n",
       "      <td>-74</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 23:56:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>107.0</td>\n",
       "      <td>107</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-02 08:18:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>-56.0</td>\n",
       "      <td>-56</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-30 18:44:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>113.0</td>\n",
       "      <td>113</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-31 02:24:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>-52.0</td>\n",
       "      <td>-52</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-31 07:02:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>97.0</td>\n",
       "      <td>97</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-31 14:52:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>-82.0</td>\n",
       "      <td>-82</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-31 19:20:00+01:00</th>\n",
       "      <td>Ongecontroleerd</td>\n",
       "      <td>-999999999</td>\n",
       "      <td>NVT</td>\n",
       "      <td>RIKZMON_WAT</td>\n",
       "      <td>00</td>\n",
       "      <td>10846</td>\n",
       "      <td>Waterhoogte berekend Oppervlaktewater t.o.v. N...</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Waarde is niet van toepassing</td>\n",
       "      <td>NVT</td>\n",
       "      <td>...</td>\n",
       "      <td>Astronomische waterhoogte mbv harmonische analyse</td>\n",
       "      <td>NVT</td>\n",
       "      <td>Niet van toepassing</td>\n",
       "      <td>106.0</td>\n",
       "      <td>106</td>\n",
       "      <td>SCHEVNGN</td>\n",
       "      <td>25831</td>\n",
       "      <td>Scheveningen</td>\n",
       "      <td>586550.994421</td>\n",
       "      <td>5.772806e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1530 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          WaarnemingMetadata.StatuswaardeLijst  \\\n",
       "time                                                             \n",
       "2019-01-01 07:15:00+01:00                      Ongecontroleerd   \n",
       "2019-01-01 11:25:00+01:00                      Ongecontroleerd   \n",
       "2019-01-01 19:20:00+01:00                      Ongecontroleerd   \n",
       "2019-01-01 23:56:00+01:00                      Ongecontroleerd   \n",
       "2019-01-02 08:18:00+01:00                      Ongecontroleerd   \n",
       "...                                                        ...   \n",
       "2020-01-30 18:44:00+01:00                      Ongecontroleerd   \n",
       "2020-01-31 02:24:00+01:00                      Ongecontroleerd   \n",
       "2020-01-31 07:02:00+01:00                      Ongecontroleerd   \n",
       "2020-01-31 14:52:00+01:00                      Ongecontroleerd   \n",
       "2020-01-31 19:20:00+01:00                      Ongecontroleerd   \n",
       "\n",
       "                          WaarnemingMetadata.BemonsteringshoogteLijst  \\\n",
       "time                                                                    \n",
       "2019-01-01 07:15:00+01:00                                  -999999999   \n",
       "2019-01-01 11:25:00+01:00                                  -999999999   \n",
       "2019-01-01 19:20:00+01:00                                  -999999999   \n",
       "2019-01-01 23:56:00+01:00                                  -999999999   \n",
       "2019-01-02 08:18:00+01:00                                  -999999999   \n",
       "...                                                               ...   \n",
       "2020-01-30 18:44:00+01:00                                  -999999999   \n",
       "2020-01-31 02:24:00+01:00                                  -999999999   \n",
       "2020-01-31 07:02:00+01:00                                  -999999999   \n",
       "2020-01-31 14:52:00+01:00                                  -999999999   \n",
       "2020-01-31 19:20:00+01:00                                  -999999999   \n",
       "\n",
       "                          WaarnemingMetadata.ReferentievlakLijst  \\\n",
       "time                                                               \n",
       "2019-01-01 07:15:00+01:00                                    NVT   \n",
       "2019-01-01 11:25:00+01:00                                    NVT   \n",
       "2019-01-01 19:20:00+01:00                                    NVT   \n",
       "2019-01-01 23:56:00+01:00                                    NVT   \n",
       "2019-01-02 08:18:00+01:00                                    NVT   \n",
       "...                                                          ...   \n",
       "2020-01-30 18:44:00+01:00                                    NVT   \n",
       "2020-01-31 02:24:00+01:00                                    NVT   \n",
       "2020-01-31 07:02:00+01:00                                    NVT   \n",
       "2020-01-31 14:52:00+01:00                                    NVT   \n",
       "2020-01-31 19:20:00+01:00                                    NVT   \n",
       "\n",
       "                          WaarnemingMetadata.OpdrachtgevendeInstantieLijst  \\\n",
       "time                                                                         \n",
       "2019-01-01 07:15:00+01:00                                      RIKZMON_WAT   \n",
       "2019-01-01 11:25:00+01:00                                      RIKZMON_WAT   \n",
       "2019-01-01 19:20:00+01:00                                      RIKZMON_WAT   \n",
       "2019-01-01 23:56:00+01:00                                      RIKZMON_WAT   \n",
       "2019-01-02 08:18:00+01:00                                      RIKZMON_WAT   \n",
       "...                                                                    ...   \n",
       "2020-01-30 18:44:00+01:00                                      RIKZMON_WAT   \n",
       "2020-01-31 02:24:00+01:00                                      RIKZMON_WAT   \n",
       "2020-01-31 07:02:00+01:00                                      RIKZMON_WAT   \n",
       "2020-01-31 14:52:00+01:00                                      RIKZMON_WAT   \n",
       "2020-01-31 19:20:00+01:00                                      RIKZMON_WAT   \n",
       "\n",
       "                          WaarnemingMetadata.KwaliteitswaardecodeLijst  \\\n",
       "time                                                                     \n",
       "2019-01-01 07:15:00+01:00                                           00   \n",
       "2019-01-01 11:25:00+01:00                                           00   \n",
       "2019-01-01 19:20:00+01:00                                           00   \n",
       "2019-01-01 23:56:00+01:00                                           00   \n",
       "2019-01-02 08:18:00+01:00                                           00   \n",
       "...                                                                ...   \n",
       "2020-01-30 18:44:00+01:00                                           00   \n",
       "2020-01-31 02:24:00+01:00                                           00   \n",
       "2020-01-31 07:02:00+01:00                                           00   \n",
       "2020-01-31 14:52:00+01:00                                           00   \n",
       "2020-01-31 19:20:00+01:00                                           00   \n",
       "\n",
       "                           AquoMetadata_MessageID  \\\n",
       "time                                                \n",
       "2019-01-01 07:15:00+01:00                   10846   \n",
       "2019-01-01 11:25:00+01:00                   10846   \n",
       "2019-01-01 19:20:00+01:00                   10846   \n",
       "2019-01-01 23:56:00+01:00                   10846   \n",
       "2019-01-02 08:18:00+01:00                   10846   \n",
       "...                                           ...   \n",
       "2020-01-30 18:44:00+01:00                   10846   \n",
       "2020-01-31 02:24:00+01:00                   10846   \n",
       "2020-01-31 07:02:00+01:00                   10846   \n",
       "2020-01-31 14:52:00+01:00                   10846   \n",
       "2020-01-31 19:20:00+01:00                   10846   \n",
       "\n",
       "                                                  Parameter_Wat_Omschrijving  \\\n",
       "time                                                                           \n",
       "2019-01-01 07:15:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "2019-01-01 11:25:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "2019-01-01 19:20:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "2019-01-01 23:56:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "2019-01-02 08:18:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "...                                                                      ...   \n",
       "2020-01-30 18:44:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "2020-01-31 02:24:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "2020-01-31 07:02:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "2020-01-31 14:52:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "2020-01-31 19:20:00+01:00  Waterhoogte berekend Oppervlaktewater t.o.v. N...   \n",
       "\n",
       "                          BemonsteringsApparaat.Code  \\\n",
       "time                                                   \n",
       "2019-01-01 07:15:00+01:00                        NVT   \n",
       "2019-01-01 11:25:00+01:00                        NVT   \n",
       "2019-01-01 19:20:00+01:00                        NVT   \n",
       "2019-01-01 23:56:00+01:00                        NVT   \n",
       "2019-01-02 08:18:00+01:00                        NVT   \n",
       "...                                              ...   \n",
       "2020-01-30 18:44:00+01:00                        NVT   \n",
       "2020-01-31 02:24:00+01:00                        NVT   \n",
       "2020-01-31 07:02:00+01:00                        NVT   \n",
       "2020-01-31 14:52:00+01:00                        NVT   \n",
       "2020-01-31 19:20:00+01:00                        NVT   \n",
       "\n",
       "                          BemonsteringsApparaat.Omschrijving  \\\n",
       "time                                                           \n",
       "2019-01-01 07:15:00+01:00      Waarde is niet van toepassing   \n",
       "2019-01-01 11:25:00+01:00      Waarde is niet van toepassing   \n",
       "2019-01-01 19:20:00+01:00      Waarde is niet van toepassing   \n",
       "2019-01-01 23:56:00+01:00      Waarde is niet van toepassing   \n",
       "2019-01-02 08:18:00+01:00      Waarde is niet van toepassing   \n",
       "...                                                      ...   \n",
       "2020-01-30 18:44:00+01:00      Waarde is niet van toepassing   \n",
       "2020-01-31 02:24:00+01:00      Waarde is niet van toepassing   \n",
       "2020-01-31 07:02:00+01:00      Waarde is niet van toepassing   \n",
       "2020-01-31 14:52:00+01:00      Waarde is niet van toepassing   \n",
       "2020-01-31 19:20:00+01:00      Waarde is niet van toepassing   \n",
       "\n",
       "                          BemonsteringsMethode.Code  ...  \\\n",
       "time                                                 ...   \n",
       "2019-01-01 07:15:00+01:00                       NVT  ...   \n",
       "2019-01-01 11:25:00+01:00                       NVT  ...   \n",
       "2019-01-01 19:20:00+01:00                       NVT  ...   \n",
       "2019-01-01 23:56:00+01:00                       NVT  ...   \n",
       "2019-01-02 08:18:00+01:00                       NVT  ...   \n",
       "...                                             ...  ...   \n",
       "2020-01-30 18:44:00+01:00                       NVT  ...   \n",
       "2020-01-31 02:24:00+01:00                       NVT  ...   \n",
       "2020-01-31 07:02:00+01:00                       NVT  ...   \n",
       "2020-01-31 14:52:00+01:00                       NVT  ...   \n",
       "2020-01-31 19:20:00+01:00                       NVT  ...   \n",
       "\n",
       "                                         WaardeBepalingsmethode.Omschrijving  \\\n",
       "time                                                                           \n",
       "2019-01-01 07:15:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "2019-01-01 11:25:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "2019-01-01 19:20:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "2019-01-01 23:56:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "2019-01-02 08:18:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "...                                                                      ...   \n",
       "2020-01-30 18:44:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "2020-01-31 02:24:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "2020-01-31 07:02:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "2020-01-31 14:52:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "2020-01-31 19:20:00+01:00  Astronomische waterhoogte mbv harmonische analyse   \n",
       "\n",
       "                          WaardeBewerkingsmethode.Code  \\\n",
       "time                                                     \n",
       "2019-01-01 07:15:00+01:00                          NVT   \n",
       "2019-01-01 11:25:00+01:00                          NVT   \n",
       "2019-01-01 19:20:00+01:00                          NVT   \n",
       "2019-01-01 23:56:00+01:00                          NVT   \n",
       "2019-01-02 08:18:00+01:00                          NVT   \n",
       "...                                                ...   \n",
       "2020-01-30 18:44:00+01:00                          NVT   \n",
       "2020-01-31 02:24:00+01:00                          NVT   \n",
       "2020-01-31 07:02:00+01:00                          NVT   \n",
       "2020-01-31 14:52:00+01:00                          NVT   \n",
       "2020-01-31 19:20:00+01:00                          NVT   \n",
       "\n",
       "                          WaardeBewerkingsmethode.Omschrijving  \\\n",
       "time                                                             \n",
       "2019-01-01 07:15:00+01:00                  Niet van toepassing   \n",
       "2019-01-01 11:25:00+01:00                  Niet van toepassing   \n",
       "2019-01-01 19:20:00+01:00                  Niet van toepassing   \n",
       "2019-01-01 23:56:00+01:00                  Niet van toepassing   \n",
       "2019-01-02 08:18:00+01:00                  Niet van toepassing   \n",
       "...                                                        ...   \n",
       "2020-01-30 18:44:00+01:00                  Niet van toepassing   \n",
       "2020-01-31 02:24:00+01:00                  Niet van toepassing   \n",
       "2020-01-31 07:02:00+01:00                  Niet van toepassing   \n",
       "2020-01-31 14:52:00+01:00                  Niet van toepassing   \n",
       "2020-01-31 19:20:00+01:00                  Niet van toepassing   \n",
       "\n",
       "                          Meetwaarde.Waarde_Numeriek  \\\n",
       "time                                                   \n",
       "2019-01-01 07:15:00+01:00                      -53.0   \n",
       "2019-01-01 11:25:00+01:00                       86.0   \n",
       "2019-01-01 19:20:00+01:00                      -74.0   \n",
       "2019-01-01 23:56:00+01:00                      107.0   \n",
       "2019-01-02 08:18:00+01:00                      -56.0   \n",
       "...                                              ...   \n",
       "2020-01-30 18:44:00+01:00                      113.0   \n",
       "2020-01-31 02:24:00+01:00                      -52.0   \n",
       "2020-01-31 07:02:00+01:00                       97.0   \n",
       "2020-01-31 14:52:00+01:00                      -82.0   \n",
       "2020-01-31 19:20:00+01:00                      106.0   \n",
       "\n",
       "                          Meetwaarde.Waarde_Alfanumeriek      Code  \\\n",
       "time                                                                 \n",
       "2019-01-01 07:15:00+01:00                            -53  SCHEVNGN   \n",
       "2019-01-01 11:25:00+01:00                             86  SCHEVNGN   \n",
       "2019-01-01 19:20:00+01:00                            -74  SCHEVNGN   \n",
       "2019-01-01 23:56:00+01:00                            107  SCHEVNGN   \n",
       "2019-01-02 08:18:00+01:00                            -56  SCHEVNGN   \n",
       "...                                                  ...       ...   \n",
       "2020-01-30 18:44:00+01:00                            113  SCHEVNGN   \n",
       "2020-01-31 02:24:00+01:00                            -52  SCHEVNGN   \n",
       "2020-01-31 07:02:00+01:00                             97  SCHEVNGN   \n",
       "2020-01-31 14:52:00+01:00                            -82  SCHEVNGN   \n",
       "2020-01-31 19:20:00+01:00                            106  SCHEVNGN   \n",
       "\n",
       "                          Coordinatenstelsel          Naam              X  \\\n",
       "time                                                                        \n",
       "2019-01-01 07:15:00+01:00              25831  Scheveningen  586550.994421   \n",
       "2019-01-01 11:25:00+01:00              25831  Scheveningen  586550.994421   \n",
       "2019-01-01 19:20:00+01:00              25831  Scheveningen  586550.994421   \n",
       "2019-01-01 23:56:00+01:00              25831  Scheveningen  586550.994421   \n",
       "2019-01-02 08:18:00+01:00              25831  Scheveningen  586550.994421   \n",
       "...                                      ...           ...            ...   \n",
       "2020-01-30 18:44:00+01:00              25831  Scheveningen  586550.994421   \n",
       "2020-01-31 02:24:00+01:00              25831  Scheveningen  586550.994421   \n",
       "2020-01-31 07:02:00+01:00              25831  Scheveningen  586550.994421   \n",
       "2020-01-31 14:52:00+01:00              25831  Scheveningen  586550.994421   \n",
       "2020-01-31 19:20:00+01:00              25831  Scheveningen  586550.994421   \n",
       "\n",
       "                                      Y  \n",
       "time                                     \n",
       "2019-01-01 07:15:00+01:00  5.772806e+06  \n",
       "2019-01-01 11:25:00+01:00  5.772806e+06  \n",
       "2019-01-01 19:20:00+01:00  5.772806e+06  \n",
       "2019-01-01 23:56:00+01:00  5.772806e+06  \n",
       "2019-01-02 08:18:00+01:00  5.772806e+06  \n",
       "...                                 ...  \n",
       "2020-01-30 18:44:00+01:00  5.772806e+06  \n",
       "2020-01-31 02:24:00+01:00  5.772806e+06  \n",
       "2020-01-31 07:02:00+01:00  5.772806e+06  \n",
       "2020-01-31 14:52:00+01:00  5.772806e+06  \n",
       "2020-01-31 19:20:00+01:00  5.772806e+06  \n",
       "\n",
       "[1530 rows x 53 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "measurements"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Convert to xarray"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 73kB\n",
       "Dimensions:                                       (time: 1530)\n",
       "Coordinates:\n",
       "  * time                                          (time) datetime64[ns] 12kB ...\n",
       "Data variables:\n",
       "    WaarnemingMetadata.StatuswaardeLijst          (time) object 12kB &#x27;Ongecon...\n",
       "    WaarnemingMetadata.KwaliteitswaardecodeLijst  (time) object 12kB &#x27;00&#x27; ......\n",
       "    Groepering.Code                               (time) object 12kB &#x27;GETETBR...\n",
       "    WaardeBepalingsmethode.Code                   (time) object 12kB &#x27;other:F...\n",
       "    Meetwaarde.Waarde_Numeriek                    (time) float64 12kB -53.0 ....\n",
       "Attributes: (12/27)\n",
       "    BemonsteringsApparaat.Code:                        NVT\n",
       "    BemonsteringsMethode.Code:                         NVT\n",
       "    BemonsteringsSoort.Code:                           NVT\n",
       "    BioTaxon.Code:                                     NVT\n",
       "    BioTaxon_Compartiment.Code:                        NVT\n",
       "    MeetApparaat.Code:                                 NVT\n",
       "    ...                                                ...\n",
       "    Hoedanigheid.Code:                                 NAP\n",
       "    Code:                                              SCHEVNGN\n",
       "    Naam:                                              Scheveningen\n",
       "    Coordinatenstelsel:                                25831\n",
       "    X:                                                 586550.994420996\n",
       "    Y:                                                 5772806.43069697</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-98a9a561-40b8-4607-9f88-b6cca527b27e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-98a9a561-40b8-4607-9f88-b6cca527b27e' 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>: 1530</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6600eeeb-3156-4d10-8d05-822f8a9b9f58' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6600eeeb-3156-4d10-8d05-822f8a9b9f58' class='xr-section-summary' >Coordinates: <span>(1)</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'>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'>2019-01-01T06:15:00 ... 2020-01-...</div><input id='attrs-428a3143-1e32-49da-bec0-be6779df178f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-428a3143-1e32-49da-bec0-be6779df178f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ab9080c-7195-477a-a184-eeb84f416ce3' class='xr-var-data-in' type='checkbox'><label for='data-1ab9080c-7195-477a-a184-eeb84f416ce3' 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;2019-01-01T06:15:00.000000000&#x27;, &#x27;2019-01-01T10:25:00.000000000&#x27;,\n",
       "       &#x27;2019-01-01T18:20:00.000000000&#x27;, ..., &#x27;2020-01-31T06:02:00.000000000&#x27;,\n",
       "       &#x27;2020-01-31T13:52:00.000000000&#x27;, &#x27;2020-01-31T18:20:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e660e6a8-d946-4d7f-8e91-c8e9df50c586' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e660e6a8-d946-4d7f-8e91-c8e9df50c586' class='xr-section-summary' >Data variables: <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>WaarnemingMetadata.StatuswaardeLijst</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Ongecontroleerd&#x27; ... &#x27;Ongecontr...</div><input id='attrs-28c9d86d-33c6-4dc2-94d1-b433fa8e518a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28c9d86d-33c6-4dc2-94d1-b433fa8e518a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a3f2849-0096-4735-958b-0daa219e9e75' class='xr-var-data-in' type='checkbox'><label for='data-2a3f2849-0096-4735-958b-0daa219e9e75' 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;Ongecontroleerd&#x27;, &#x27;Ongecontroleerd&#x27;, &#x27;Ongecontroleerd&#x27;, ...,\n",
       "       &#x27;Ongecontroleerd&#x27;, &#x27;Ongecontroleerd&#x27;, &#x27;Ongecontroleerd&#x27;],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WaarnemingMetadata.KwaliteitswaardecodeLijst</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;00&#x27; &#x27;00&#x27; &#x27;00&#x27; ... &#x27;00&#x27; &#x27;00&#x27; &#x27;00&#x27;</div><input id='attrs-99bd78a6-604a-4e0b-a15d-55c4a54e694e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99bd78a6-604a-4e0b-a15d-55c4a54e694e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67915973-edae-4f7f-9d93-610b6ea44c73' class='xr-var-data-in' type='checkbox'><label for='data-67915973-edae-4f7f-9d93-610b6ea44c73' 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;00&#x27;, &#x27;00&#x27;, &#x27;00&#x27;, ..., &#x27;00&#x27;, &#x27;00&#x27;, &#x27;00&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Groepering.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;GETETBRKD2&#x27; ... &#x27;GETETBRKD2&#x27;</div><input id='attrs-83d763c4-9e3a-4bfe-90a3-883df7897cc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83d763c4-9e3a-4bfe-90a3-883df7897cc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac7cdd60-0ea8-4b8a-897d-a40a089ed6a3' class='xr-var-data-in' type='checkbox'><label for='data-ac7cdd60-0ea8-4b8a-897d-a40a089ed6a3' 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>GETETBRKD2 :</span></dt><dd>Getijextreem berekend</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;GETETBRKD2&#x27;, &#x27;GETETBRKD2&#x27;, &#x27;GETETBRKD2&#x27;, ..., &#x27;GETETBRKD2&#x27;,\n",
       "       &#x27;GETETBRKD2&#x27;, &#x27;GETETBRKD2&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WaardeBepalingsmethode.Code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;other:F012&#x27; ... &#x27;other:F012&#x27;</div><input id='attrs-087e421e-0132-4463-8b26-02930f699f52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-087e421e-0132-4463-8b26-02930f699f52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba9a9eba-59cd-42c2-bad9-332fd2f334ab' class='xr-var-data-in' type='checkbox'><label for='data-ba9a9eba-59cd-42c2-bad9-332fd2f334ab' 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>other:F012 :</span></dt><dd>Astronomische waterhoogte mbv harmonische analyse</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;other:F012&#x27;, &#x27;other:F012&#x27;, &#x27;other:F012&#x27;, ..., &#x27;other:F012&#x27;,\n",
       "       &#x27;other:F012&#x27;, &#x27;other:F012&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Meetwaarde.Waarde_Numeriek</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-53.0 86.0 -74.0 ... -82.0 106.0</div><input id='attrs-9693617d-49fd-4172-991a-265f5c80c74b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9693617d-49fd-4172-991a-265f5c80c74b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a30792ca-995d-4eb5-9326-407cdd75db7a' class='xr-var-data-in' type='checkbox'><label for='data-a30792ca-995d-4eb5-9326-407cdd75db7a' 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([-53.,  86., -74., ...,  97., -82., 106.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-782d0c88-7919-4785-b683-ed2e1e46808d' class='xr-section-summary-in' type='checkbox'  ><label for='section-782d0c88-7919-4785-b683-ed2e1e46808d' class='xr-section-summary' >Indexes: <span>(1)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fbe3a24f-4fbe-4726-8b39-2ab99dfded95' class='xr-index-data-in' type='checkbox'/><label for='index-fbe3a24f-4fbe-4726-8b39-2ab99dfded95' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-01-01 06:15:00&#x27;, &#x27;2019-01-01 10:25:00&#x27;,\n",
       "               &#x27;2019-01-01 18:20:00&#x27;, &#x27;2019-01-01 22:56:00&#x27;,\n",
       "               &#x27;2019-01-02 07:18:00&#x27;, &#x27;2019-01-02 11:19:00&#x27;,\n",
       "               &#x27;2019-01-02 19:25:00&#x27;, &#x27;2019-01-02 23:55:00&#x27;,\n",
       "               &#x27;2019-01-03 08:10:00&#x27;, &#x27;2019-01-03 12:15:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2020-01-29 12:55:00&#x27;, &#x27;2020-01-29 17:06:00&#x27;,\n",
       "               &#x27;2020-01-30 01:10:00&#x27;, &#x27;2020-01-30 05:26:00&#x27;,\n",
       "               &#x27;2020-01-30 13:16:00&#x27;, &#x27;2020-01-30 17:44:00&#x27;,\n",
       "               &#x27;2020-01-31 01:24:00&#x27;, &#x27;2020-01-31 06:02:00&#x27;,\n",
       "               &#x27;2020-01-31 13:52:00&#x27;, &#x27;2020-01-31 18:20:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1530, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f41813ab-f336-435b-b31f-c3a49509744f' class='xr-section-summary-in' type='checkbox'  ><label for='section-f41813ab-f336-435b-b31f-c3a49509744f' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>BemonsteringsApparaat.Code :</span></dt><dd>NVT</dd><dt><span>BemonsteringsMethode.Code :</span></dt><dd>NVT</dd><dt><span>BemonsteringsSoort.Code :</span></dt><dd>NVT</dd><dt><span>BioTaxon.Code :</span></dt><dd>NVT</dd><dt><span>BioTaxon_Compartiment.Code :</span></dt><dd>NVT</dd><dt><span>MeetApparaat.Code :</span></dt><dd>NVT</dd><dt><span>MonsterBewerkingsMethode.Code :</span></dt><dd>NVT</dd><dt><span>Orgaan.Code :</span></dt><dd>NVT</dd><dt><span>Parameter.Code :</span></dt><dd>NVT</dd><dt><span>PlaatsBepalingsApparaat.Code :</span></dt><dd>NVT</dd><dt><span>Typering.Code :</span></dt><dd>NVT</dd><dt><span>WaardeBepalingstechniek.Code :</span></dt><dd>NVT</dd><dt><span>WaardeBewerkingsmethode.Code :</span></dt><dd>NVT</dd><dt><span>WaarnemingMetadata.OpdrachtgevendeInstantieLijst :</span></dt><dd>RIKZMON_WAT</dd><dt><span>WaarnemingMetadata.BemonsteringshoogteLijst :</span></dt><dd>-999999999</dd><dt><span>WaarnemingMetadata.ReferentievlakLijst :</span></dt><dd>NVT</dd><dt><span>AquoMetadata_MessageID :</span></dt><dd>10846</dd><dt><span>BioTaxonType :</span></dt><dd>NVT</dd><dt><span>Compartiment.Code :</span></dt><dd>OW</dd><dt><span>Eenheid.Code :</span></dt><dd>cm</dd><dt><span>Grootheid.Code :</span></dt><dd>WATHTBRKD</dd><dt><span>Hoedanigheid.Code :</span></dt><dd>NAP</dd><dt><span>Code :</span></dt><dd>SCHEVNGN</dd><dt><span>Naam :</span></dt><dd>Scheveningen</dd><dt><span>Coordinatenstelsel :</span></dt><dd>25831</dd><dt><span>X :</span></dt><dd>586550.994420996</dd><dt><span>Y :</span></dt><dd>5772806.43069697</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 73kB\n",
       "Dimensions:                                       (time: 1530)\n",
       "Coordinates:\n",
       "  * time                                          (time) datetime64[ns] 12kB ...\n",
       "Data variables:\n",
       "    WaarnemingMetadata.StatuswaardeLijst          (time) object 12kB 'Ongecon...\n",
       "    WaarnemingMetadata.KwaliteitswaardecodeLijst  (time) object 12kB '00' ......\n",
       "    Groepering.Code                               (time) object 12kB 'GETETBR...\n",
       "    WaardeBepalingsmethode.Code                   (time) object 12kB 'other:F...\n",
       "    Meetwaarde.Waarde_Numeriek                    (time) float64 12kB -53.0 ....\n",
       "Attributes: (12/27)\n",
       "    BemonsteringsApparaat.Code:                        NVT\n",
       "    BemonsteringsMethode.Code:                         NVT\n",
       "    BemonsteringsSoort.Code:                           NVT\n",
       "    BioTaxon.Code:                                     NVT\n",
       "    BioTaxon_Compartiment.Code:                        NVT\n",
       "    MeetApparaat.Code:                                 NVT\n",
       "    ...                                                ...\n",
       "    Hoedanigheid.Code:                                 NAP\n",
       "    Code:                                              SCHEVNGN\n",
       "    Naam:                                              Scheveningen\n",
       "    Coordinatenstelsel:                                25831\n",
       "    X:                                                 586550.994420996\n",
       "    Y:                                                 5772806.43069697"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drop_if_constant = [\"WaarnemingMetadata.OpdrachtgevendeInstantieLijst\",\n",
    "                    \"WaarnemingMetadata.BemonsteringshoogteLijst\",\n",
    "                    \"WaarnemingMetadata.ReferentievlakLijst\",\n",
    "                    \"AquoMetadata_MessageID\", \n",
    "                    \"BioTaxonType\",\n",
    "                    \"BemonsteringsSoort.Code\", \n",
    "                    \"Compartiment.Code\", \"Eenheid.Code\", \"Grootheid.Code\", \"Hoedanigheid.Code\",\n",
    "                    ]\n",
    "ds = ddlpy.dataframe_to_xarray(measurements, drop_if_constant=drop_if_constant)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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