{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0160a17e",
   "metadata": {},
   "source": [
    "# Tutorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c38958b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import aquarius_webportal\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import dates as mdates"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c73f2daf",
   "metadata": {},
   "source": [
    "## Establish connection to the website\n",
    "\n",
    "To demonstrate I'll create three connections to different examples of Aquarius Web Portal implementations, all configured in different ways, using different versions of the software."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d746be7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "SA = aquarius_webportal.AquariusWebPortal(\"water.data.sa.gov.au\")\n",
    "NZ = aquarius_webportal.AquariusWebPortal(\"hydrowebportal.niwa.co.nz\")\n",
    "NT = aquarius_webportal.AquariusWebPortal(\"ntg.aquaticinformatics.net\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d28855c9",
   "metadata": {},
   "source": [
    "## Getting a list of parameters\n",
    "\n",
    "For some portals you can get back a list of parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "69db6ed1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>param_id</th>\n",
       "      <th>param_name</th>\n",
       "      <th>param_desc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>180</td>\n",
       "      <td>Alkalinity</td>\n",
       "      <td>Alkalinity As CaCO3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>426</td>\n",
       "      <td>NH4-N (Dis)</td>\n",
       "      <td>Ammonia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>194</td>\n",
       "      <td>BOD</td>\n",
       "      <td>Biochemical Oxygen Demand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>196</td>\n",
       "      <td>Ca (Dis)</td>\n",
       "      <td>Calcium (Dissolved)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>204</td>\n",
       "      <td>Cl (Dis)</td>\n",
       "      <td>Chloride (Dissolved)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>379</td>\n",
       "      <td>O2 (Dis)</td>\n",
       "      <td>Dissolved Oxygen Concentration</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>425</td>\n",
       "      <td>DRP-P</td>\n",
       "      <td>Dissolved Reactive Phosphorus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>281</td>\n",
       "      <td>Mg (Dis)</td>\n",
       "      <td>Magnesium (Dissolved)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>101</td>\n",
       "      <td>NO3+NO2 as N</td>\n",
       "      <td>Nitrite and Nitrate as N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>98</td>\n",
       "      <td>N (Tot)</td>\n",
       "      <td>Nitrogen Total (Water)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>309</td>\n",
       "      <td>P (Tot)</td>\n",
       "      <td>Phosphorus (Total)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>271</td>\n",
       "      <td>K (Dis)</td>\n",
       "      <td>Potassium Ion Concentration</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>292</td>\n",
       "      <td>Na (Dis)</td>\n",
       "      <td>Sodium (Dissolved)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>88</td>\n",
       "      <td>SO4</td>\n",
       "      <td>Sulphate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>373</td>\n",
       "      <td>Cond</td>\n",
       "      <td>Conductivity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>255</td>\n",
       "      <td>Stage</td>\n",
       "      <td>Height of Gauge (River Stage)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>206</td>\n",
       "      <td>Visual Water Clarity</td>\n",
       "      <td>Visual Water Clarity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>423</td>\n",
       "      <td>Absorbance</td>\n",
       "      <td>Spectrophotometric Absorbance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>394</td>\n",
       "      <td>Turbidity (Nephelom)</td>\n",
       "      <td>Turbidity (Nephelom)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>424</td>\n",
       "      <td>Absorbance Coeff</td>\n",
       "      <td>Absorbance coefficient</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>236</td>\n",
       "      <td>E Coli</td>\n",
       "      <td>Escherichia coli Count</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>108</td>\n",
       "      <td>Tot Coliforms</td>\n",
       "      <td>Total Coliforms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>318</td>\n",
       "      <td>pH</td>\n",
       "      <td>pH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>419</td>\n",
       "      <td>Cloud cover</td>\n",
       "      <td>Cloud cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>397</td>\n",
       "      <td>Dis Oxygen Sat</td>\n",
       "      <td>Dissolved Oxygen Percent Saturation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9</td>\n",
       "      <td>Temperature</td>\n",
       "      <td>Temperature</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>427</td>\n",
       "      <td>Discharge Value</td>\n",
       "      <td>Assigned Discharge Value</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>327</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Discharge</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   param_id            param_name                           param_desc\n",
       "0       180            Alkalinity                  Alkalinity As CaCO3\n",
       "1       426           NH4-N (Dis)                              Ammonia\n",
       "2       194                   BOD            Biochemical Oxygen Demand\n",
       "3       196              Ca (Dis)                  Calcium (Dissolved)\n",
       "4       204              Cl (Dis)                 Chloride (Dissolved)\n",
       "5       379              O2 (Dis)       Dissolved Oxygen Concentration\n",
       "6       425                 DRP-P        Dissolved Reactive Phosphorus\n",
       "7       281              Mg (Dis)                Magnesium (Dissolved)\n",
       "8       101          NO3+NO2 as N             Nitrite and Nitrate as N\n",
       "9        98               N (Tot)               Nitrogen Total (Water)\n",
       "10      309               P (Tot)                   Phosphorus (Total)\n",
       "11      271               K (Dis)          Potassium Ion Concentration\n",
       "12      292              Na (Dis)                   Sodium (Dissolved)\n",
       "13       88                   SO4                             Sulphate\n",
       "14      373                  Cond                         Conductivity\n",
       "15      255                 Stage        Height of Gauge (River Stage)\n",
       "16      206  Visual Water Clarity                 Visual Water Clarity\n",
       "17      423            Absorbance        Spectrophotometric Absorbance\n",
       "18      394  Turbidity (Nephelom)                 Turbidity (Nephelom)\n",
       "19      424      Absorbance Coeff               Absorbance coefficient\n",
       "20      236                E Coli               Escherichia coli Count\n",
       "21      108         Tot Coliforms                      Total Coliforms\n",
       "22      318                    pH                                   pH\n",
       "23      419           Cloud cover                          Cloud cover\n",
       "24      397        Dis Oxygen Sat  Dissolved Oxygen Percent Saturation\n",
       "25        9           Temperature                          Temperature\n",
       "26      427       Discharge Value             Assigned Discharge Value\n",
       "27      327             Discharge                            Discharge"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params = NZ.fetch_params()\n",
    "params"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa4dcc57",
   "metadata": {},
   "source": [
    "Unfortunately some portals have a disclaimer pop-up when you first visit the website. \n",
    "\n",
    "For these, we get no information on the parameters via the script, because it can't accept the disclaimer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "35374284",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>param_id</th>\n",
       "      <th>param_name</th>\n",
       "      <th>param_desc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [param_id, param_name, param_desc]\n",
       "Index: []"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NT.fetch_params()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1822615d",
   "metadata": {},
   "source": [
    "## Getting a list of locations (sites)\n",
    "\n",
    "For either type of portal you can fetch a list of locations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a0ab68f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = NT.fetch_locations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "acbd0b87",
   "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>wp_loc_id</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_name</th>\n",
       "      <th>loc_id</th>\n",
       "      <th>loc_type</th>\n",
       "      <th>loc_folder</th>\n",
       "      <th>classification</th>\n",
       "      <th>bgcolor</th>\n",
       "      <th>seq</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>792</td>\n",
       "      <td>134.767896</td>\n",
       "      <td>-22.131885</td>\n",
       "      <td>Sandover River - #7 Bore</td>\n",
       "      <td>G0010001</td>\n",
       "      <td>River/Stream</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>794</td>\n",
       "      <td>137.017840</td>\n",
       "      <td>-20.046888</td>\n",
       "      <td>Ranken River - Soudan Homestead</td>\n",
       "      <td>G0010005</td>\n",
       "      <td>River/Stream</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>793</td>\n",
       "      <td>137.501189</td>\n",
       "      <td>-20.015182</td>\n",
       "      <td>James River - Avon Downs Police Station</td>\n",
       "      <td>G0010006</td>\n",
       "      <td>River/Stream</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>796</td>\n",
       "      <td>137.917874</td>\n",
       "      <td>-22.231837</td>\n",
       "      <td>Manners Crk U/S Tobermory Homestead</td>\n",
       "      <td>G0010007</td>\n",
       "      <td>River/Stream</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>795</td>\n",
       "      <td>136.817886</td>\n",
       "      <td>-22.565183</td>\n",
       "      <td>Algamba Crk D/S Tarlton Downs Homestead</td>\n",
       "      <td>G0010008</td>\n",
       "      <td>River/Stream</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5006</th>\n",
       "      <td>6937</td>\n",
       "      <td>131.443095</td>\n",
       "      <td>-12.733012</td>\n",
       "      <td>Barr Rd, Marrakai</td>\n",
       "      <td>RN043557</td>\n",
       "      <td>Groundwater</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5007</th>\n",
       "      <td>6939</td>\n",
       "      <td>131.420997</td>\n",
       "      <td>-12.706886</td>\n",
       "      <td>Leaning tree lagoon, Marrakai</td>\n",
       "      <td>RN043558</td>\n",
       "      <td>Groundwater</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5008</th>\n",
       "      <td>5475</td>\n",
       "      <td>134.945581</td>\n",
       "      <td>-21.386522</td>\n",
       "      <td>Murray Downs Station Corridor Bore 1 - Verdent...</td>\n",
       "      <td>RN050056</td>\n",
       "      <td>Groundwater</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5009</th>\n",
       "      <td>5476</td>\n",
       "      <td>134.835990</td>\n",
       "      <td>-21.335627</td>\n",
       "      <td>Corridor Bore 2 - Verdent Minerals</td>\n",
       "      <td>RN050057</td>\n",
       "      <td>Groundwater</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5010</th>\n",
       "      <td>5477</td>\n",
       "      <td>134.835990</td>\n",
       "      <td>-21.335627</td>\n",
       "      <td>Murray Downs Station - Verdent Minerals</td>\n",
       "      <td>RN050058</td>\n",
       "      <td>Groundwater</td>\n",
       "      <td>All Locations.DEPWS.Water.Public</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5011 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      wp_loc_id         lon        lat  \\\n",
       "0           792  134.767896 -22.131885   \n",
       "1           794  137.017840 -20.046888   \n",
       "2           793  137.501189 -20.015182   \n",
       "3           796  137.917874 -22.231837   \n",
       "4           795  136.817886 -22.565183   \n",
       "...         ...         ...        ...   \n",
       "5006       6937  131.443095 -12.733012   \n",
       "5007       6939  131.420997 -12.706886   \n",
       "5008       5475  134.945581 -21.386522   \n",
       "5009       5476  134.835990 -21.335627   \n",
       "5010       5477  134.835990 -21.335627   \n",
       "\n",
       "                                               loc_name    loc_id  \\\n",
       "0                              Sandover River - #7 Bore  G0010001   \n",
       "1                       Ranken River - Soudan Homestead  G0010005   \n",
       "2               James River - Avon Downs Police Station  G0010006   \n",
       "3                   Manners Crk U/S Tobermory Homestead  G0010007   \n",
       "4               Algamba Crk D/S Tarlton Downs Homestead  G0010008   \n",
       "...                                                 ...       ...   \n",
       "5006                                  Barr Rd, Marrakai  RN043557   \n",
       "5007                      Leaning tree lagoon, Marrakai  RN043558   \n",
       "5008  Murray Downs Station Corridor Bore 1 - Verdent...  RN050056   \n",
       "5009                 Corridor Bore 2 - Verdent Minerals  RN050057   \n",
       "5010            Murray Downs Station - Verdent Minerals  RN050058   \n",
       "\n",
       "          loc_type                        loc_folder classification  bgcolor  \\\n",
       "0     River/Stream  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "1     River/Stream  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "2     River/Stream  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "3     River/Stream  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "4     River/Stream  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "...            ...                               ...            ...      ...   \n",
       "5006   Groundwater  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "5007   Groundwater  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "5008   Groundwater  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "5009   Groundwater  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "5010   Groundwater  All Locations.DEPWS.Water.Public              -  #FFFFFF   \n",
       "\n",
       "      seq  \n",
       "0       0  \n",
       "1       0  \n",
       "2       0  \n",
       "3       0  \n",
       "4       0  \n",
       "...   ...  \n",
       "5006    0  \n",
       "5007    0  \n",
       "5008    0  \n",
       "5009    0  \n",
       "5010    0  \n",
       "\n",
       "[5011 rows x 10 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "987c75e6",
   "metadata": {},
   "source": [
    "## Getting a list of datasets for portals which are not blocked by a disclaimer\n",
    "\n",
    "Now let's say you want a complete list of datasets (time-series). We can obtain this by querying the website for a particular parameter.\n",
    "\n",
    "If the portal you are using does not have a disclaimer, you are in luck. You could either iterate over all the parameters, or just those which you are interested in:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fd0f146e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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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>param_id</th>\n",
       "      <th>param_name</th>\n",
       "      <th>param_desc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>427</td>\n",
       "      <td>Discharge Value</td>\n",
       "      <td>Assigned Discharge Value</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>327</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Discharge</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   param_id       param_name                param_desc\n",
       "26      427  Discharge Value  Assigned Discharge Value\n",
       "27      327        Discharge                 Discharge"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "level_params = params[params.param_name.str.contains(\"Discharge\")]\n",
    "level_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "84f53a99",
   "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>wp_loc_id</th>\n",
       "      <th>wp_dset_id</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_name</th>\n",
       "      <th>loc_id</th>\n",
       "      <th>dset_name</th>\n",
       "      <th>loc_type</th>\n",
       "      <th>loc_folder</th>\n",
       "      <th>State</th>\n",
       "      <th>dset_start</th>\n",
       "      <th>dset_end</th>\n",
       "      <th>classification</th>\n",
       "      <th>bgcolor</th>\n",
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       "      <th>label</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>90</td>\n",
       "      <td>176.507797</td>\n",
       "      <td>-38.176369</td>\n",
       "      <td>Tarawera at Lake Outlet Recorder</td>\n",
       "      <td>15341</td>\n",
       "      <td>Discharge.Master@15341</td>\n",
       "      <td>Hydrometric Station</td>\n",
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       "      <td>OPEN</td>\n",
       "      <td>1971-11-01T13:15:00</td>\n",
       "      <td>2023-11-02T10:20:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>41</td>\n",
       "      <td>17084</td>\n",
       "      <td>176.507797</td>\n",
       "      <td>-38.176369</td>\n",
       "      <td>Tarawera at Lake Outlet Recorder</td>\n",
       "      <td>15341</td>\n",
       "      <td>Discharge.Field Visits@15341</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1971-11-08T10:30:00</td>\n",
       "      <td>2023-10-18T10:53:43</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>42</td>\n",
       "      <td>16909</td>\n",
       "      <td>176.995102</td>\n",
       "      <td>-38.005138</td>\n",
       "      <td>Whakatane at Whakatane</td>\n",
       "      <td>15514</td>\n",
       "      <td>Discharge.Field Visits@15514</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1952-07-10T13:30:00</td>\n",
       "      <td>2023-09-22T12:16:04.5</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>42</td>\n",
       "      <td>92</td>\n",
       "      <td>176.995102</td>\n",
       "      <td>-38.005138</td>\n",
       "      <td>Whakatane at Whakatane</td>\n",
       "      <td>15514</td>\n",
       "      <td>Discharge.Master@15514</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1956-07-31T15:00:00</td>\n",
       "      <td>2023-11-02T10:20:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>43</td>\n",
       "      <td>98</td>\n",
       "      <td>177.632294</td>\n",
       "      <td>-37.863701</td>\n",
       "      <td>Motu at Houpoto</td>\n",
       "      <td>16501</td>\n",
       "      <td>Discharge.Master@16501</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>CLOSED: 2 days</td>\n",
       "      <td>1957-04-08T15:00:00</td>\n",
       "      <td>2023-11-02T10:00:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>23</td>\n",
       "      <td>49</td>\n",
       "      <td>172.386398</td>\n",
       "      <td>-41.763481</td>\n",
       "      <td>Buller at Longford</td>\n",
       "      <td>93202</td>\n",
       "      <td>Discharge.Master@93202</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1963-10-11T12:00:00</td>\n",
       "      <td>2023-11-02T10:10:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>17</td>\n",
       "      <td>17059</td>\n",
       "      <td>171.699402</td>\n",
       "      <td>-41.834251</td>\n",
       "      <td>Buller at Te Kuha</td>\n",
       "      <td>93203</td>\n",
       "      <td>Discharge.Field Visits@93203</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>CLOSED: 2 days</td>\n",
       "      <td>1963-10-22T13:45:00</td>\n",
       "      <td>2023-03-06T11:21:33.5</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>17</td>\n",
       "      <td>20514</td>\n",
       "      <td>171.699402</td>\n",
       "      <td>-41.834251</td>\n",
       "      <td>Buller at Te Kuha</td>\n",
       "      <td>93203</td>\n",
       "      <td>Discharge.Master@93203</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>CLOSED: 2 days</td>\n",
       "      <td>1963-07-30T03:00:00</td>\n",
       "      <td>2023-11-02T10:20:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>16</td>\n",
       "      <td>16844</td>\n",
       "      <td>172.220200</td>\n",
       "      <td>-41.254211</td>\n",
       "      <td>Karamea at Gorge</td>\n",
       "      <td>95102</td>\n",
       "      <td>Discharge.Field Visits@95102</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>CLOSED: 2 days</td>\n",
       "      <td>1978-03-23T14:40:00</td>\n",
       "      <td>2023-10-26T10:51:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>172.220200</td>\n",
       "      <td>-41.254211</td>\n",
       "      <td>Karamea at Gorge</td>\n",
       "      <td>95102</td>\n",
       "      <td>Discharge.Master@95102</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1977-06-20T12:15:00</td>\n",
       "      <td>2023-11-02T10:05:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>83 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    wp_loc_id  wp_dset_id         lon        lat  \\\n",
       "0          41          90  176.507797 -38.176369   \n",
       "1          41       17084  176.507797 -38.176369   \n",
       "2          42       16909  176.995102 -38.005138   \n",
       "3          42          92  176.995102 -38.005138   \n",
       "4          43          98  177.632294 -37.863701   \n",
       "..        ...         ...         ...        ...   \n",
       "78         23          49  172.386398 -41.763481   \n",
       "79         17       17059  171.699402 -41.834251   \n",
       "80         17       20514  171.699402 -41.834251   \n",
       "81         16       16844  172.220200 -41.254211   \n",
       "82         16          32  172.220200 -41.254211   \n",
       "\n",
       "                            loc_name loc_id                     dset_name  \\\n",
       "0   Tarawera at Lake Outlet Recorder  15341        Discharge.Master@15341   \n",
       "1   Tarawera at Lake Outlet Recorder  15341  Discharge.Field Visits@15341   \n",
       "2             Whakatane at Whakatane  15514  Discharge.Field Visits@15514   \n",
       "3             Whakatane at Whakatane  15514        Discharge.Master@15514   \n",
       "4                    Motu at Houpoto  16501        Discharge.Master@16501   \n",
       "..                               ...    ...                           ...   \n",
       "78                Buller at Longford  93202        Discharge.Master@93202   \n",
       "79                 Buller at Te Kuha  93203  Discharge.Field Visits@93203   \n",
       "80                 Buller at Te Kuha  93203        Discharge.Master@93203   \n",
       "81                  Karamea at Gorge  95102  Discharge.Field Visits@95102   \n",
       "82                  Karamea at Gorge  95102        Discharge.Master@95102   \n",
       "\n",
       "               loc_type                    loc_folder           State  \\\n",
       "0   Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "1   Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "2   Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "3   Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "4   Hydrometric Station  All Locations.NIWA.BenchMark  CLOSED: 2 days   \n",
       "..                  ...                           ...             ...   \n",
       "78  Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "79  Hydrometric Station  All Locations.NIWA.BenchMark  CLOSED: 2 days   \n",
       "80  Hydrometric Station  All Locations.NIWA.BenchMark  CLOSED: 2 days   \n",
       "81  Hydrometric Station  All Locations.NIWA.BenchMark  CLOSED: 2 days   \n",
       "82  Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "\n",
       "             dset_start               dset_end classification  bgcolor  seq  \\\n",
       "0   1971-11-01T13:15:00    2023-11-02T10:20:00              -  #FFFFFF    0   \n",
       "1   1971-11-08T10:30:00    2023-10-18T10:53:43              -  #FFFFFF    0   \n",
       "2   1952-07-10T13:30:00  2023-09-22T12:16:04.5              -  #FFFFFF    0   \n",
       "3   1956-07-31T15:00:00    2023-11-02T10:20:00              -  #FFFFFF    0   \n",
       "4   1957-04-08T15:00:00    2023-11-02T10:00:00              -  #FFFFFF    0   \n",
       "..                  ...                    ...            ...      ...  ...   \n",
       "78  1963-10-11T12:00:00    2023-11-02T10:10:00              -  #FFFFFF    0   \n",
       "79  1963-10-22T13:45:00  2023-03-06T11:21:33.5              -  #FFFFFF    0   \n",
       "80  1963-07-30T03:00:00    2023-11-02T10:20:00              -  #FFFFFF    0   \n",
       "81  1978-03-23T14:40:00    2023-10-26T10:51:00              -  #FFFFFF    0   \n",
       "82  1977-06-20T12:15:00    2023-11-02T10:05:00              -  #FFFFFF    0   \n",
       "\n",
       "        param         label  \n",
       "0   Discharge        Master  \n",
       "1   Discharge  Field Visits  \n",
       "2   Discharge  Field Visits  \n",
       "3   Discharge        Master  \n",
       "4   Discharge        Master  \n",
       "..        ...           ...  \n",
       "78  Discharge        Master  \n",
       "79  Discharge  Field Visits  \n",
       "80  Discharge        Master  \n",
       "81  Discharge  Field Visits  \n",
       "82  Discharge        Master  \n",
       "\n",
       "[83 rows x 17 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datasets = NZ.fetch_datasets(param_id=327)\n",
    "datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b223033",
   "metadata": {},
   "source": [
    "The key fields for datasets are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d17a637d",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>loc_id</th>\n",
       "      <th>loc_name</th>\n",
       "      <th>param</th>\n",
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       "      <th>dset_end</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15341</td>\n",
       "      <td>Tarawera at Lake Outlet Recorder</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>1971-11-01T13:15:00</td>\n",
       "      <td>2023-11-02T10:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15341</td>\n",
       "      <td>Tarawera at Lake Outlet Recorder</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "      <td>1971-11-08T10:30:00</td>\n",
       "      <td>2023-10-18T10:53:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15514</td>\n",
       "      <td>Whakatane at Whakatane</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "      <td>1952-07-10T13:30:00</td>\n",
       "      <td>2023-09-22T12:16:04.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>15514</td>\n",
       "      <td>Whakatane at Whakatane</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>1956-07-31T15:00:00</td>\n",
       "      <td>2023-11-02T10:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16501</td>\n",
       "      <td>Motu at Houpoto</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>1957-04-08T15:00:00</td>\n",
       "      <td>2023-11-02T10:00:00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>93202</td>\n",
       "      <td>Buller at Longford</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>1963-10-11T12:00:00</td>\n",
       "      <td>2023-11-02T10:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>93203</td>\n",
       "      <td>Buller at Te Kuha</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "      <td>1963-10-22T13:45:00</td>\n",
       "      <td>2023-03-06T11:21:33.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>93203</td>\n",
       "      <td>Buller at Te Kuha</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>1963-07-30T03:00:00</td>\n",
       "      <td>2023-11-02T10:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>95102</td>\n",
       "      <td>Karamea at Gorge</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "      <td>1978-03-23T14:40:00</td>\n",
       "      <td>2023-10-26T10:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>95102</td>\n",
       "      <td>Karamea at Gorge</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>1977-06-20T12:15:00</td>\n",
       "      <td>2023-11-02T10:05:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>83 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   loc_id                          loc_name      param         label  \\\n",
       "0   15341  Tarawera at Lake Outlet Recorder  Discharge        Master   \n",
       "1   15341  Tarawera at Lake Outlet Recorder  Discharge  Field Visits   \n",
       "2   15514            Whakatane at Whakatane  Discharge  Field Visits   \n",
       "3   15514            Whakatane at Whakatane  Discharge        Master   \n",
       "4   16501                   Motu at Houpoto  Discharge        Master   \n",
       "..    ...                               ...        ...           ...   \n",
       "78  93202                Buller at Longford  Discharge        Master   \n",
       "79  93203                 Buller at Te Kuha  Discharge  Field Visits   \n",
       "80  93203                 Buller at Te Kuha  Discharge        Master   \n",
       "81  95102                  Karamea at Gorge  Discharge  Field Visits   \n",
       "82  95102                  Karamea at Gorge  Discharge        Master   \n",
       "\n",
       "             dset_start               dset_end  \n",
       "0   1971-11-01T13:15:00    2023-11-02T10:20:00  \n",
       "1   1971-11-08T10:30:00    2023-10-18T10:53:43  \n",
       "2   1952-07-10T13:30:00  2023-09-22T12:16:04.5  \n",
       "3   1956-07-31T15:00:00    2023-11-02T10:20:00  \n",
       "4   1957-04-08T15:00:00    2023-11-02T10:00:00  \n",
       "..                  ...                    ...  \n",
       "78  1963-10-11T12:00:00    2023-11-02T10:10:00  \n",
       "79  1963-10-22T13:45:00  2023-03-06T11:21:33.5  \n",
       "80  1963-07-30T03:00:00    2023-11-02T10:20:00  \n",
       "81  1978-03-23T14:40:00    2023-10-26T10:51:00  \n",
       "82  1977-06-20T12:15:00    2023-11-02T10:05:00  \n",
       "\n",
       "[83 rows x 6 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datasets[[\"loc_id\", \"loc_name\", \"param\", \"label\", \"dset_start\", \"dset_end\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2495947d",
   "metadata": {},
   "source": [
    "Note also that Aquarius combines these into what they call a dataset name:\n",
    "\n",
    "``{param}.{label}@{location_id}``"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fd59873f",
   "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>param</th>\n",
       "      <th>label</th>\n",
       "      <th>loc_id</th>\n",
       "      <th>dset_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>15341</td>\n",
       "      <td>Discharge.Master@15341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "      <td>15341</td>\n",
       "      <td>Discharge.Field Visits@15341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "      <td>15514</td>\n",
       "      <td>Discharge.Field Visits@15514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>15514</td>\n",
       "      <td>Discharge.Master@15514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>16501</td>\n",
       "      <td>Discharge.Master@16501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>93202</td>\n",
       "      <td>Discharge.Master@93202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "      <td>93203</td>\n",
       "      <td>Discharge.Field Visits@93203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>93203</td>\n",
       "      <td>Discharge.Master@93203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "      <td>95102</td>\n",
       "      <td>Discharge.Field Visits@95102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "      <td>95102</td>\n",
       "      <td>Discharge.Master@95102</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>83 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        param         label loc_id                     dset_name\n",
       "0   Discharge        Master  15341        Discharge.Master@15341\n",
       "1   Discharge  Field Visits  15341  Discharge.Field Visits@15341\n",
       "2   Discharge  Field Visits  15514  Discharge.Field Visits@15514\n",
       "3   Discharge        Master  15514        Discharge.Master@15514\n",
       "4   Discharge        Master  16501        Discharge.Master@16501\n",
       "..        ...           ...    ...                           ...\n",
       "78  Discharge        Master  93202        Discharge.Master@93202\n",
       "79  Discharge  Field Visits  93203  Discharge.Field Visits@93203\n",
       "80  Discharge        Master  93203        Discharge.Master@93203\n",
       "81  Discharge  Field Visits  95102  Discharge.Field Visits@95102\n",
       "82  Discharge        Master  95102        Discharge.Master@95102\n",
       "\n",
       "[83 rows x 4 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datasets[[\"param\", \"label\", \"loc_id\", \"dset_name\"]]"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
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"
    },
    "image-7.png": {
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ACDNqRhkpz1xMkw/E2K1ZYt1rmnEHmTTt/71R/HP1LyiwZJTXW95fdjBTSJBdmGLcM1tpe8103FyfqyycCXPPwlsrJMiGkpWHlWXXbe+yEbP/s7e5kCAbonb7Gz3X9rqd70cbnPsxOId/zwuKvFwDmtygu+ZYrVl3gSVjgfcyHp6Wt98XZ3wuyGDd+7RuJFnvuO12IF2JsWuPIWe7at/n+uO3PHvKkZzXLbtmWvkl1vvKnmXH+G7GZNJbYCnGXoW7VvDfsCOg1T5zfo/Y29mkDXteV7bP52cwOMNZI0B2tVn7RESk21QC1GuPH/Dw2SVufHi1iwu1ynjW1+KMNwrmkiGeejL4TZPxuI+dWatExCr5yDDks4J6v116Uf2Rz7G16GE8E2fAXsZ43MfOwjGUEhTTrBOvtGk8DlsxZ2lLjq3ALGcy5W1I8rRSt15kJWYFLH7TxJ8KYwV9bQa6rRvGSiTE6/KyzRRnY4HaEoxkyDoLY697N3a3S+UnBZZCawxlGrxX5XKsVNgK5splNOXjwTuFiyTPHe3cWEhCeKq9fVJMk3euOzXGVqAbZTXlsSBWILwbC+wZF1JKR+xj23Es1Kw7yXpglcvlkrJcjPUCVMrMMnEGCDNa2SftJy6ldMzuRa/bn7ZWZVODwTnHfClchBl1BLwbiYBj2RmG1kJtj70YDM61TMI3FpIMeJ44xtnUlwk591mGIWKs2useiVqfp/VEAednqXs99l4m7O09aLmaiIh0RglAT22TLzzj0o0P6V74X2DJsAMJuwdvj3Cq8uM96LvJQG610iu6H9dMeZlhLh/nKXt3kAnH+hq125UqB3JuvnfTx+7qpjWhmONFzscFnz2/dwoXOb6zJ5frpuv/2hoHUczxgjieStu8jNYnRb444+VAzzuFizVedm1MbY4XuYMsrL6dBZ4nfQzdaa8HtpRbhHi8Gjh77zDkKycUhZpAs/LXVnBXHgtiJaIDlcSq2sO/Hss5jkMYDMYd64ba5M7Le2F4/aSLg5iTC4dOdDYSIUg5k4cCz5POhMDN9Zkwu4u52n1mJ3adBd/W2ZTd2CrvlROQVJidkHOwvXOf1X1+cHN9LoUrOctK+i5bNcd7lZX8HDSpts6EjY7FWH5Lx2eIiJwkKgHqoe3873h0/gbT3ez8Lyy0HcyfLvWlFwBtjk51X+FsOVAOuu19FGbUjrUGg3P4D1qyvbnKbi7pKLEpN23mgAvshJeJTJx8IEA2Bm2XNNkGfTcZiC2wEfUyUlhgJzzDRJtx5c5qjt1keb1Vrhm7XabZaLYuOcpxEnuPM2eJ22BwjtFVo1I+VF/m05ZCgnVS+J25VvEJr0k6ypJsvvjBNqMBlzPh8N5hyBewkuBmzV97QgmvnWh5mUiNkQ2tMZSJHvG4jCRP03cY0ZgAEZEjowSgZ7Z59PQVvHrI/PxDx/MPmZ8vcO3WbSYvHmCx3ih+8w4rkQDZSLWO97TbSATsK8LY21NMkw+stjm3NdB2J1YNWF0psxIMNazNpoOxDb4e7mfHgNNSOsKykYB2kwC3jwu+GM8LUVhI4pqKdrTq5sFvba19Rdf2U64ucN3kuxzQlZzLOSajsZGoyUgUymfb8nSSBBRYCtFwXE6nCVz73JwfgxdPiuDtIKgecwzMLqbJh2A0NcZ6IMFG19tpJ17Oz7iIiBwZJQA9c5HJ29NMOp7Zzt/j/gsv04ceD2AFMRsJg2VjtcOgwgoWthYK4D1hA/IqAYlVh7zb7hmAwt2WgcWhzgB4p3DlQqymfT2/isnglbG9Tw57GMgt8nUxyOCe5lllJtnZCK+J4+ng7R6ZCrMeirHia1Q/f5RnAKySnvXZNCU7mSilZ9nxxRlvt/3uK5zFSnxGDnWIW4nl67Zfb40XwZF8VttkJWPriSlGWg2EbTIAdz/W+3WXjaD9XVC4y1YuzGijMefFNKuxHK5UeWK17n/E64aw0bCd1iDgDgeDl5dfvkKRBgGLiBwLJQBvsZGoicsTYTlRaB1U7JkvxXMjRLbmaib7z1ffk26VM7TZq1l3NZudgEHWcXWWkTtxngaqbXLF4wzk2jwD4L3DEIE9ZTrduXqRlwkzxZJRWw5zLFdGqttn5avZ1F+BxRNfZDlQvqpT3fthJzCv4/WX26zvxbe2r9Lr743iTyXIBqpXizq6HuxaI1ETEkbdlY066TX2MpEKkw2V295u0NqgDC2cwl8JxFvvs1I6Zs2ba7TP3Fyfy1hn7ozq4tsuMao/FuxtqxyH3ijj8QjLhmGXGNW/Vzm2HO9l9fh19Mzb7ah8FqkN2F0eHzhL7dpUSsd4cTPj2I8iInLU3nnz5s2bXjei15aWlvB4mlxv8ITa3NxkeLgPLhjfDYUE2VlPbflJp5e8fGsVWDJmOdNxr628Pbp0DBQS9hgBHUsiIiedrgIkb73Sk7U9z20sJLt8Q6/TaSMRYic8o4BNDsG+6pOCfxGRU0MlQPLWGwzGGVqsKwHq5cDdE6BywypfnPE51V3LYRz1VZ9ERKTbVAKESoBEREREpH+oBEhEREREpI8oARARERER6SNKAERERERE+ogSgD5TSkfIJgrHs7JCgmwkTel41iYiIiIibdBVgHrs8YN5Hj5zPnOOa7duM3mxVy0SERERkbeZEoAT4NKNaT68ejTLLqUjLK/O1Nyxs2cKCbILUyejLSIiIiJ9SiVAb7GNhMFybIzRBgH3RsIga1h/SzUVQfZNfey/fLpYO2MhUZm2d167xKg8PZSsnei9w9BaSGVBIiIiIj2kBOCtVGQlYrC+FmfcjDJSPzkZ4qkng980GY/72JktB+RFViIhXsetaX4zxdlYwBHkF1hamLKnmfhTYXZCCTYqkxNWwuGYXsvN9TmT0bEYy4ZjPhERERE5NkoAToBnD+eZn7f+7uW3D7m0AktGgK2xFP5md7oNp5gMugEY9N1kILfKDkAxxwvieOxp4GU07mNnoVB5POE8m+CdwsUaL4sARVZmk7hSDRKOOiNRk/H4GutGhJXiPi8WERERka7SGIAeu/rhNNXy/8c8mL/PPW5x+6CjgAsLVjB/EJur7OaSLBux2ufDM5V/NxIG6zWVPT7OHHR95Ni6WwCNCRARERE5NkoATpSr/PDSQw51kU5vFL95h5VIgGwkznizswDN+JrPU0pHWE+GGa2UFRVYMmY7bqKVRIQZNef2PVsgIiIiIt2lEqCT5PEDHj47x+Vrh70G6AFr7b1TuHIxVusH/jr5PLjsfzcSIcfZBjfnx6iWCxXT5OsHAWMH/83GJoiIiIjIkdMZgJ56zIP5h1RvA3CJG9O36dYVQUeiJi5PhOVEgZG2ymy8TJgplowAWUcVkCtlMuGFweAMrlioUiI0EI/jYtGxvhTPjRDZJECY0Uycp85qokKCdVL451TyIyIiItIr77x58+ZNrxvRa0tLS3g8nl43oyObm5sMDw/3uhkiIiIicsqoBEhEREREpI8oARARERER6SNKAERERERE+ogSABERERGRPqIEQERERESkjygBEBERERHpI0oARAoJspE0pV63oycKLBlG97e/kCBrRFgpWneQznZyQzo5MGtfGywVGjyfaH6P8Y2EQdaw/vKtbgTYkHUM5dNF6waADdYv9U7LPiuyEule25zfBRuJI/jeEZG2KQE4Cbbz3JufZ35+nvn5e+S3e92gE6qHgfpGolVg1N0fybedFWzWJgTtJwlW4FS7rxs8V0hYAW2LoHe/dRw8ID4qR3ecjURN/KbJaLj7y+6to/xsHtWyreVmjdq/ynFoJwy109tPsJ3J3sk7xkXkuOhOwL32+AHzD19y7dY0kxd73Zju2kgYPPVkmAy6e90UacrLhGl2f7HDHgaA824YvDIGPg8ue9JINMPLtQDriSnrDtXFNKsxGMpEGenS6jcWkrhSKQgtsBH1tr/cYpp8IAbxDH77uC2lE6wUo1w/BYfxYHAOf/C41zrMGR9wxQ3uK5zFxxndo3AfrfaZm+tzJlYiEODFzUbfoWFGzYN/Xgbivflervku8PiAKwxWphZZicQgPncqPmsip50SgJ7aJl94ybVbt9+y4N/64doiznjU/iYvJMgueBhai7GV8zGUusmLUIxdX5zxuaD1I1BIkA0l7WX4GMrYPwR2ULZrT1k2YvZ/zh9Be5258uyO5bZpJx1hOWYtoPwDWXI8BwGylVWn8Ee9bCQM1stNzhlk7X8rP7CFBNmFKcY9s3uW3Z667bLXW1Gzz8C5T0rpCMurM9XXF9PkA6tcdk4vb1vdckvpCMuLN2v2YaPnmnIHmSznFd4o/rmaiVyPx8kHZlm5E4eYFXB370e/wPOkjzN3vJwPh3heiDLi3X8ugI27MXbDqUrwDzAYjDq2t8CSEWKn/NBxnJXSEVa5ydlYjB3CjKZgPZSs7FtrepzLq4HKMeNKmUxU2tb8GN73OKtpl+OzU799juXUrnsfzT6bQDVgBSuhnNs7/z5qP2e1bavZ9pp1lwPGGb4LlLe9evzvv89abVcXlt3S4ffZ0ak7xgHXTPX/+vcKcHx/7PN95fwuCM7hr1mIm+szY2QDBkudHJsiciAqAeql7Uc8fXUeHt2zy3/mmb+X53RXABVYMgJsjaXw1weKyRjfzZiMhnNshVa5bKZw5Rb5uogVnIbWGMpYpQj+1BhbAfu0tjvIpGniT4WtoMi0X+PoASul70K8/HyGIWKsdnJaOxdjfXXGXneY3dhdNrB7VO3SiIF4xl6+WflRs0onMgz5rKClPL0mCEiGrEDcNPFnrIB3pc2mbSTsfVnerrVQbSmAc59l4gy0v8WVbRuP+/ZO891koPze2HZWcwzc9HWUVDXlDnI5nGMrEGArF+ZyN3sjCwvs+G7yPTe4PD52Ftqt0SjwPAmuqWaRR5GVSIjXlePAOs6WHWVGu7FFzmQyDPmSrM96GM/EGUguVMozdmMBnnoyleNsJ1Qt3Wh1DO9/nFlncvxmqnKmZY9kqOm6W2r12ewCK6AcY9Ssblc5+CulI6yvVT/z43Hq1p1jKzDLmUx5/yR52u4+23e7DrHsU6vBMe78eqicrXOUjPnijNvfhy2/r9rhjeLPxHkdUlmSyFFTAtBL2y94xTOe8idMT08zPX2Lazzi/oPHvW7ZwRTT5A37xyPaIIjyxRm1nx6I36k5fV3KLUI8Xu1V9N5hyJfkeZux22AwWtMj+b2bPnZXN9tvu+NHDO8ULtZ42a3fH+ey3T4u+HJ811bTCjxPhhmt7Es312fC7C7mKGH1Vtfss26yA/QXufJOsNpyuVIWE9lTR9xo8GkrI3eshKX+WDisjYVkJVEZ9N2sCcAPpXC3LlmxzmTULD88U3k/XDMNzpSEU9Ugse44O/QxvJ89627v83XYz2ZrBdZjOVypRuUs9jTHfhwMxves25Uq99p3ts/a2a4DL7sLn4/Wkqw7l+0YG9Woxr88IL9sNxZo3K7CXbaI42mSyJRyi+zayTXAyFQYcqv22YLW31dtcweZNFOcjQUOOIZHRNqhEqBeO3eNP6nU/1xk0nuJR4UttrnKaasKKuUW2YWOeqHLdlZz7CYdJTY256nnlurKhAAItzvz8Xv9pAheN3tOmeMofyg+4TVJ1o0k686ZffFjaePIVJj12RylYJDBwgI74Skm7GmHrzUvshKz369YjBVfbclKbdlHJ6UVVvnPhYz9WrePC75YTRnQwZdNzViG7rCTwQalbsARHsNWDfp3bbzy0J/NVopPeI2PC03HDBzdeIKj3K6jH4vRfAzASNRkJNp67oOOARi8Mga5Rb4uBhl0W8k24ZTVjqP4vkrOsnJHYwJEjoISgF66eIFzr16wDacu2G/E+tGzSoCyq6nGZwFaOPjAtAJLewZuRlhePcCijsnZK45e5LlWg3Cb/9DvNHiuq7xTuHKzfF0MsrOQxDVVjSoa1gHTfl15KR1jKxdm1LzDy0iArViakqNkrHkQ0yxwtQPFwgI75NgJVOuyARnjLXEAABN1SURBVBgrgLdattVq2VsL1dfuYfd2Vnr2N1drA/aOlQPc4z6GN/ku5+NMm7HZkQ0adV/hbMsXOBIkwGo30KW86Ki267Cfj8OoT3AtzceFdGTYwwBJtiqfrzCjpnODDjc4GWg4EF9Euk8lQL108RqXzz2jULnu5zb5wjPOXb52ihMCLxN27Wcnl+wcmQqzu19t/LBnT126UyWoLqZZbfDjexguj6/FqWw358doq9a8HPi+104Q4PZxwZdkvclp8No2WQHknmB07Unr6S15eS+c47vNAs/XquVbUB0/UP/XXnBjlXZYpT92GU0uxnpbZ/v37utSerZS8196smYNPHS2KxWGtsqArJIFkqGaUg3rKkBUymaeVmqTi6zMJg9cwrSRCFXaXdb6GG7/ONuPc5/tp63P5oFZx9hWrNF3hZf3wrAzW51mtbv2WGyt+T47/HY1X/bhPh+HU76ka+1fm8F/3XfsRqL27KRVdugYC+UM9vf5vmqLHfyfTb0N4ylETjadAeipi0zevsGD+fvMP7KeOXftFrdP/SWBrF7tjYTBatrX3he5N4o/lSBb03Nb15vkDuKJL7Jc0/sUZQQvo3Efy6Hq80NxH1td7D0dDMYZWgxUr0BUd3WLkWiK50aIrN3zVtOzmIs1uXLRftxcn8uwEgmQNarPlpdd2yYfQ6k4r0PVjW49vb70KGe1vX677sR5GghBPNOdwb/2IMMdX5zx8v4pv6+hCCtt9FKORDO8rNknYUbNIIMUWVnM4Zqpu6KKdwoXbV4NyBvFn4JsqO7KLm6wktuUdYbLeTWoTgKVZPUYqb1SVXvHcNPjrO5qUNYZkLpe36brrr/qi7V9lWW389k8hJGoCQnD8Rmp9pTvnVZ+rztZfpN91oXtavm5P7C6z2au7v0A2FNq01m7d2O1pU+VZdd9xw7EM4yGAzy3X2d9H9SXTZXX3fr7qq3tji1yIWOq5EfkGLzz5s2bN71uRK8tLS3h8Xh63YyObG5uMjysi22feIUE2VlPx5ckPZC6y3zKybLnsqwip0yje7tsJAzW6bzkU0R6SyVAIiIiso8iL9fqn7MunTvgUWeUyGmjEiARERHZR/kGfk3Kh0TkVFEJECoBEhEREZH+oRIgEREREZE+ogRARERERKSPKAEQEREREekjSgBEWiqyEjFqbgz11igkyBoRVorWJSqzRqKNm2UdZB2G/Rfp0s2kCiwZBvl00br0qXGI96eYJn8U2y0iInKC6SpAvfT4AfMPn+19/tINpj+8evztOemO85r6p0Uvr/2/77oLLIWSlZs6daKUjrDsuBPuUV1ppHxnU903QURE+okSgF66+iHTNXH+Nvl793l64bTfCdjS6KYxcoIMexgAzrth8MoY+Dy4urn84hNeE+Zyp/cHKiRYXrzJuDlnJXrFNPlAjBVf+a62w5zxAVfc4L7CWXycOdAFsQo8T4a5bLprnlsyFnhPN1MTEZG3mBKAk2T7EU9fXcI7edoTAPtW9sQZj9rBVSFBdsHD0FqMrZyPodRNXoRi7Pri1R79QoJsKGkvw8dQxg747ABw156ybJQvQl2+Bb1jneVOY+dyO2lzpdPZuWywAsMQO/tOA8KOu2JWesmneF5+TV3b6nu7a3vM69pVWXbtOteNJOv1+20/7iCTpv2/N4p/zjmxwJIxyxnHsqoJ3WZ7695crbxnnSg9WYOxqep7577C2dqGc32u0nAmzJqGt7+e9Cw74Rkmap71MhqfZdmI8LLd/SgiInLKKAE4QR7//SO4dovTXfxjB6bhBreGT8b4LmUyOmawHhpj1Ezx3Jjl62KQQdLkQ2sMZUwr6CokyAYSbJhRRtxBJs1gyxKgUvouxE38bigHzatpX5tnH+wgeyyFf65xd/VOaJahjMmE23rt0/QdRuxlbyQWeM807UDS2v6lKWcQn2TdWLPnt6avF4LW9GKa1dgYo+Zcwx7njYSzXda68+kMk0EvE6bZoxKg1uuuT2gqCUKjY6KBQd9NBmIh8vbZo41EiB1fnNGuBuMF1mMwlNnbnsHgHP4rCbIBg6UDlC+JiIicdBoEfFJs5yk8O+W9/8U0eSPE63imcaDnizNqPz0Qv1MbNOYWIR6v9rh67zDkS/K8zcGdg8Goo7fWzfdu+thd3Wxv5sJdtnJhRlsEp65UuTd477JHos4A2Mt7YXj9pNhk/kbTm22nVaJSbZeb6zNhdhdzlNrYrI2E4RiA2+2BuM0NBufwmyb+VBjrbIlpPW4j+AfsMxMZLiwGyBoG66Twd3vcR2GBHd9NvtcsqfBG8WfivA7Zg41FRETeIjoDcEI8/vtHvLp041T3/pdyi+wCAweYd2c1x26y9hbzAK6ZNhdQVyYEQLi9mUtP1sB38+D17zWlS5aBeE1DeM8R+45EzWrC4A4ymVolGzLIQm15UPEJr0k6SmxsvpqFNzUSNRmJdrYpx6Z+n9Vst/Venk2Z+Oessx5Zo77s6jCKrMwmcc2YbSUVu7G7bAQ1JkBERN4eSgBOgu08hWfnuHbrNIf/ds9vsMCSESC72l65h9PBr/RSYClgXc3Fb89fSkdYXm1v7sErYwdYp62YJl93pZuNhMHTTpbhjeI3o5V5lyM4ypwOHvhuJAzWk/XPdjBG4Cg5trnext0Yu+EUk16w6v0ze8quDqWY40UuzOVWQwfsBMWVMu12iIiIvD1UAnQCWL3/Xk5z9U+Vlwkzw9BaiGwk3VapCsDIVJjdWKx1ecqwh4HcIl83ec3ZK3ZwWEyz6qhB37/JU7hyMVYPXOrhuApNIdEg6G6fy+OrPnD7uOBLsp5oUQflvsLZJiVEI1G79Kbmr5PgP8d3dqVTKR3Zu10t1n1oa0+qx04xx4uc4/09JOvSn3eaJ1WFBFl7PIrq/0VE5G2kMwC99vgBD9+C3v9a1lVaNhJG+wNxvVH8KWvgZbbyZF3vtzuIJ77IcuU15eleRuM+lkPV54fiPrbaPANgJS0p68xFpQSpzZ53d5DL4RjrgWoJz1AYXrS55voBs9Z6y73/1d7vrFF9Re2ZEi8TqXC1hKhrPfx1yw2nGA3n6s5sHM26R6IZXkYCjqs91V8Z6TAKPE/6uJBp1sgCSyGaDsoWERF5G7zz5s2bN71uRK8tLS3h8Xh63YyObG5uMjx8oIufi/QtqzRspuPyNBERkbeJzgCISN8YDM7h73UjREREekxjAERERERE+ogSABERERGRPqIEQERERESkjygBEBERERHpI0oARERERET6iBIAOVFK6QhZw2Cpw5tLlefLGgbZVjfOkjYVWDIirW/MJtJjXf3cF9PkjQQbHc9zgHWX5zMMsp2uU0SkC5QA9Np2nnvz88yX/+7l2e51m47QRsIgf9A77hYSTe8uPBicw2+ajMd9DaYeQiFRDTDsv47bf5DA4qg12K5jC0bsdTv3YykdsYOoIiuRRu1qZ79b8+5NHousRDpIZlocZ0fmBB9nNUG2YZDtemLY7H3bXzc/943uEH2o76tW74c7yKRp4s/EGTjY0kVEDkUJQE895sH9p1y+Nc309DTT07e4xiN+l387UoCD/HiWf9C7c9fXdu0XIIYZNU389g82scDBg4KTwhu1tsfMMOSz7i5sPW7j7sfd4PPBYq5BkG3dRdpvmvhTYZz7vq07SgOvn5zW9+YEH2e+OOPltqXG2AqcwrNDLROkAs+TYS63eYxVlAP5Y72xXIcJrYhIA7oRWC9tb/GS8/zwYvmJiwydh6e9bFNXFFmJBNgiznjU+kEtpSMsx3L29ADZmP1vOGX/eBZYMkLsAOBjKDPH9fJvcTFNPhBj1364bFRmZrTtgNW5fCvgrQaUbq7PjJENGCyl9kk+3EEmU6tkQ3fZCJbXXbvsxtsE60aS9QbbV7tv6ra91zYd+94XZ3wuyGB5WiFBNpS0H3Ta7ptcGIuxXgh2Mdlzc34MXux5fpPvcnCm/LCm3eAqv+dtHWf2sV1+uyrvdXXadzMm7y0YrCfhwO/nST7OvHcY8gV4kSuC/RnaSJS3d++yNxIGTz0ZPMQq6y/v85r5cgZZ+1/n57Mr7bbfc1fKbPh9UUrPshOeYaLyeL/vq9q2136ftPd+tNbqOOvg+0pEpAklAL108RqXz93n4b08F29PcvHxAx4+O8e1f3Zx/3lPLPvHr+YHy+7ZD1aDgb29uV4mTNOef7Z2kjvIpBm0fsRnPbVBaFuKrERCvI5n8Afd9joCLF1x/Hh6o/gzHvIBg3y8Ufschj0MsMjLIuCGjcQC75mmHTxY2780ZTLhtbepmCYfWOVyo2SlmGadOH7TGeykKXW8jUchx1ZojFHTZMTerkrAXkyTD60xlDGtgKaQIBtIsNHBGYTv3YmzercA3qOIYIqsRGIQLwdcY5x3AxRYWpjCb0atlxUSZEN2u9s4zjYSAbbGUvjnvJSDtHy69njZCRnWsWa6rSDxbgEO0kN8So6zUjrC+lqccdNaVikdYbnuWNiNBVgOp/Cbc9b0WWvdI1GTkWg1cdoTzHah3dY8VI/VPQqsx2Ao08n3FXbb7dfUTGnj/djHvsdZJ99XIiINqASopy4yeXuaW5efcn9+nvmHcGP6NpOnNf4vpskbdqB9rKfE91HM8YI4nsqPpJfRuI+dhbqiY3eQSTPF2Vig9aA+9xXOOh6ORJ0/8F7eC3dQhuIOMuH48R703WQgt1rt5e0pH0OZ8rbVblcptwjxeDWg8t5hyJfkeSd13G4fF9Zmu1rK4PL42F3dtN7zXM7qpa7hZcJ5bHqncLFmBdn7sspERmt6YsPs1pcyhVOVgGxkKgxrTw42nuCEHmeldIytXLlcpsB6LIdrphqQDwbje48FX5xxe791tO5DtnsjYbAcG2PUbNHzXlhgx3eT752YGLrN46zd7ysRkQZ0BqCntsnfu8+j8zeYnr7Kdv4e9+fn+f9uTPPh1V63rXOl3CK7cPIGtW2usptLOko6bOGZ5vMkZ1m5M8f1RtOKT3hN85ISgIF4u42rO9VvNazdmetKL+pLEY7OzmqO3aSjNMLmarFL97JKGfK5It/rZuMANlc5m0rBbI6SD177PLjsSfX7DHzV97KV4hNek3SUdJRnr32zXVPOBCOKf+4gG8CJOs7IxVqU3vk4M9x69oGbvmqPvTvIpNnuig/T7gLPk/u9psjKbBLXjHkCzrjZ2jzOapS/r05MEiMiJ50SgF56/Pc8enWJG7etaP/i5G1ucY/7hTzbVyc5bScCrNPmVnlNdjV1ss4C1NevN2LXgFMpFQI2977MSnTskpJimrxdW1wuX9hbEtDcRsIeK2GXT5TLBtpVLkPoha4kG94pzobu8nXbgWxrg1fGYBU2FuC9qBfGZvl682ZleikdYT3pDGAblJy11Mm4k8M5ScdZ689Pju82gcqhYI25oKNksLHDtdsqxSmlIywbEV42qr8v5niRC3P5oEnakWnjOGv0fSUi0iaVAPXcS7YqF/3Z5tHTV3B+6NQF/1VeJswMQ2uhhpdSdHl8e09lt2vYw0Buka87LRnxTuHKxVhtdUUV+8f0bGqfq80UEizHcrhSTXpAC4m63mXsUo4W5TFjV+zAqshKrDoI9SQbmQqzG4t1oXzHy2h8jReL3WiVbW2Wp2tWj7/LAy8W6gLGmrMBob3lJM2OM7ePC74k68dRbnFqjjOrFGlntvpZL6Vn2fHFGW07/7cGb+8pySs7ZLsHg3P2lYv2Xmq00aU/nQ71fbXf+9F0vjaOs3a/r0REmtAZgF66+iG3tu5x//48j8rPXbrB9Gms/6lhXcpxI2GwmvbV/EANBuMMLQaq5QTlwcJ15Q07AYNs/VUz3EE88UWWA+WrhZR7yerLBHJkk45l42XCTFlnJhwlK9Xe1CIrsUUuNB0kmKy7kodZ06bL4Rjr5Tb54gyF669E42UiFSYbKre7ul0jd+I8DYSs9gKueJyBXAc9s73ijeJPJcgGqlduOWjv+KDvJsRiMNaFLmOAXA7icStotJe9G05Zj4MzuGKhyvE3EI/joi77aHqcubk+l2ElEiBrVF/evbKr03mcjURNSBh1JUKdDS4eiaZ4blTbV96nrdu93+feoTJo1jk4ucDzpI8LmebvXdPvq/orMtlXCqo9Fpq/H7VXGSpfKajd42y/7ysRkf298+bNmze9bkSvLS0t4fF4et2MjmxubjI8vE/hrYiINFRKR1henTlZpYoiIsdEZwBERKTvDAbn8Pe6ESIiPaIxACIiIiIifUQJgIiIiIhIH1ECICIiIiLSR5QAiIiIiIj0ESUAIiIiIiJ9RAmAiIiIiEgf0WVAe207z737j3hlP7x0Y5pTfx8wERERETmxlAD01GMe3H/E+RvT3L6KnQzcI3/xNpMXe902EREREXkbqQSoh7bzBZ6du8Y/K/f4X5zEe+kVTx9t97RdIiIiIvL2UgLQa+eHcHb2X7xwjlcvlACIiIiIyNFQAtBDF69d5tyzAvlyvL+d53ePXrWcR0RERETkMDQGoJcuTvIn1+5x//48jwDOXePGtXMU0AAAERERETkaSgB67OLkbaYnq48fP5jn/A+VAIiIiIjI0VAJ0Any+ME8D7mhy4CKiIiIyJHRGYCeesyD+Yc8sx+du3aLaV3/U0RERESOkBKAnrrKh9Pq7hcRERGR4/P/AxeJn+jNuxlpAAAAAElFTkSuQmCC"
    },
    "image-8.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "6b298455",
   "metadata": {},
   "source": [
    "## Getting a list of datasets for disclaimer-blocked portals\n",
    "\n",
    "Before I go on to show how you can get actual timeseries data for these datasets, let's cover what to do if you want a list of timeseries but are using a portal that has a disclaimer, such that ``params = aq.fetch_params()`` returns nothing.\n",
    "\n",
    "In this case you can iterate at random numbers trying to identify valid ``param_id`` values - these integers relate to the how the database was provisioned and configured, and are unlikely to go above 300 or 400. That's a bit crude though! \n",
    "\n",
    "A better way is to use a Python session:\n",
    "\n",
    "First load the offending portal and click through the disclaimer. Find a page where the \"Select Parameter\" dropdown is visible - the \"List\" or \"Map\" pages will work.\n",
    "\n",
    "![image-2.png](attachment:image-2.png)\n",
    "\n",
    "Press Ctrl+U to view the source and copy that into your Python notebook:\n",
    "\n",
    "![image-7.png](attachment:image-7.png)\n",
    "\n",
    "Run this code: ``params = aquarius_webportal.parse_params_from_html(source)``\n",
    "\n",
    "![image-8.png](attachment:image-8.png)\n",
    "\n",
    "Done :-) You can save these in a spreadsheet locally and use this as per normal. They may break if the website does an upgrade."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "146f0855",
   "metadata": {},
   "source": [
    "## Accessing timeseries data for a dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b4a33fed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\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>wp_loc_id</th>\n",
       "      <th>wp_dset_id</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_name</th>\n",
       "      <th>loc_id</th>\n",
       "      <th>dset_name</th>\n",
       "      <th>loc_type</th>\n",
       "      <th>loc_folder</th>\n",
       "      <th>State</th>\n",
       "      <th>dset_start</th>\n",
       "      <th>dset_end</th>\n",
       "      <th>classification</th>\n",
       "      <th>bgcolor</th>\n",
       "      <th>seq</th>\n",
       "      <th>param</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>90</td>\n",
       "      <td>176.507797</td>\n",
       "      <td>-38.176369</td>\n",
       "      <td>Tarawera at Lake Outlet Recorder</td>\n",
       "      <td>15341</td>\n",
       "      <td>Discharge.Master@15341</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1971-11-01T13:15:00</td>\n",
       "      <td>2023-11-02T10:20:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>41</td>\n",
       "      <td>17084</td>\n",
       "      <td>176.507797</td>\n",
       "      <td>-38.176369</td>\n",
       "      <td>Tarawera at Lake Outlet Recorder</td>\n",
       "      <td>15341</td>\n",
       "      <td>Discharge.Field Visits@15341</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1971-11-08T10:30:00</td>\n",
       "      <td>2023-10-18T10:53:43</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>42</td>\n",
       "      <td>16909</td>\n",
       "      <td>176.995102</td>\n",
       "      <td>-38.005138</td>\n",
       "      <td>Whakatane at Whakatane</td>\n",
       "      <td>15514</td>\n",
       "      <td>Discharge.Field Visits@15514</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1952-07-10T13:30:00</td>\n",
       "      <td>2023-09-22T12:16:04.5</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>42</td>\n",
       "      <td>92</td>\n",
       "      <td>176.995102</td>\n",
       "      <td>-38.005138</td>\n",
       "      <td>Whakatane at Whakatane</td>\n",
       "      <td>15514</td>\n",
       "      <td>Discharge.Master@15514</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1956-07-31T15:00:00</td>\n",
       "      <td>2023-11-02T10:20:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>43</td>\n",
       "      <td>98</td>\n",
       "      <td>177.632294</td>\n",
       "      <td>-37.863701</td>\n",
       "      <td>Motu at Houpoto</td>\n",
       "      <td>16501</td>\n",
       "      <td>Discharge.Master@16501</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>CLOSED: 2 days</td>\n",
       "      <td>1957-04-08T15:00:00</td>\n",
       "      <td>2023-11-02T10:00:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>23</td>\n",
       "      <td>49</td>\n",
       "      <td>172.386398</td>\n",
       "      <td>-41.763481</td>\n",
       "      <td>Buller at Longford</td>\n",
       "      <td>93202</td>\n",
       "      <td>Discharge.Master@93202</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1963-10-11T12:00:00</td>\n",
       "      <td>2023-11-02T10:10:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>17</td>\n",
       "      <td>17059</td>\n",
       "      <td>171.699402</td>\n",
       "      <td>-41.834251</td>\n",
       "      <td>Buller at Te Kuha</td>\n",
       "      <td>93203</td>\n",
       "      <td>Discharge.Field Visits@93203</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>CLOSED: 2 days</td>\n",
       "      <td>1963-10-22T13:45:00</td>\n",
       "      <td>2023-03-06T11:21:33.5</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>17</td>\n",
       "      <td>20514</td>\n",
       "      <td>171.699402</td>\n",
       "      <td>-41.834251</td>\n",
       "      <td>Buller at Te Kuha</td>\n",
       "      <td>93203</td>\n",
       "      <td>Discharge.Master@93203</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>CLOSED: 2 days</td>\n",
       "      <td>1963-07-30T03:00:00</td>\n",
       "      <td>2023-11-02T10:20:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>16</td>\n",
       "      <td>16844</td>\n",
       "      <td>172.220200</td>\n",
       "      <td>-41.254211</td>\n",
       "      <td>Karamea at Gorge</td>\n",
       "      <td>95102</td>\n",
       "      <td>Discharge.Field Visits@95102</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>CLOSED: 2 days</td>\n",
       "      <td>1978-03-23T14:40:00</td>\n",
       "      <td>2023-10-26T10:51:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Field Visits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>172.220200</td>\n",
       "      <td>-41.254211</td>\n",
       "      <td>Karamea at Gorge</td>\n",
       "      <td>95102</td>\n",
       "      <td>Discharge.Master@95102</td>\n",
       "      <td>Hydrometric Station</td>\n",
       "      <td>All Locations.NIWA.BenchMark</td>\n",
       "      <td>OPEN</td>\n",
       "      <td>1977-06-20T12:15:00</td>\n",
       "      <td>2023-11-02T10:05:00</td>\n",
       "      <td>-</td>\n",
       "      <td>#FFFFFF</td>\n",
       "      <td>0</td>\n",
       "      <td>Discharge</td>\n",
       "      <td>Master</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>83 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    wp_loc_id  wp_dset_id         lon        lat  \\\n",
       "0          41          90  176.507797 -38.176369   \n",
       "1          41       17084  176.507797 -38.176369   \n",
       "2          42       16909  176.995102 -38.005138   \n",
       "3          42          92  176.995102 -38.005138   \n",
       "4          43          98  177.632294 -37.863701   \n",
       "..        ...         ...         ...        ...   \n",
       "78         23          49  172.386398 -41.763481   \n",
       "79         17       17059  171.699402 -41.834251   \n",
       "80         17       20514  171.699402 -41.834251   \n",
       "81         16       16844  172.220200 -41.254211   \n",
       "82         16          32  172.220200 -41.254211   \n",
       "\n",
       "                            loc_name loc_id                     dset_name  \\\n",
       "0   Tarawera at Lake Outlet Recorder  15341        Discharge.Master@15341   \n",
       "1   Tarawera at Lake Outlet Recorder  15341  Discharge.Field Visits@15341   \n",
       "2             Whakatane at Whakatane  15514  Discharge.Field Visits@15514   \n",
       "3             Whakatane at Whakatane  15514        Discharge.Master@15514   \n",
       "4                    Motu at Houpoto  16501        Discharge.Master@16501   \n",
       "..                               ...    ...                           ...   \n",
       "78                Buller at Longford  93202        Discharge.Master@93202   \n",
       "79                 Buller at Te Kuha  93203  Discharge.Field Visits@93203   \n",
       "80                 Buller at Te Kuha  93203        Discharge.Master@93203   \n",
       "81                  Karamea at Gorge  95102  Discharge.Field Visits@95102   \n",
       "82                  Karamea at Gorge  95102        Discharge.Master@95102   \n",
       "\n",
       "               loc_type                    loc_folder           State  \\\n",
       "0   Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "1   Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "2   Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "3   Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "4   Hydrometric Station  All Locations.NIWA.BenchMark  CLOSED: 2 days   \n",
       "..                  ...                           ...             ...   \n",
       "78  Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "79  Hydrometric Station  All Locations.NIWA.BenchMark  CLOSED: 2 days   \n",
       "80  Hydrometric Station  All Locations.NIWA.BenchMark  CLOSED: 2 days   \n",
       "81  Hydrometric Station  All Locations.NIWA.BenchMark  CLOSED: 2 days   \n",
       "82  Hydrometric Station  All Locations.NIWA.BenchMark            OPEN   \n",
       "\n",
       "             dset_start               dset_end classification  bgcolor  seq  \\\n",
       "0   1971-11-01T13:15:00    2023-11-02T10:20:00              -  #FFFFFF    0   \n",
       "1   1971-11-08T10:30:00    2023-10-18T10:53:43              -  #FFFFFF    0   \n",
       "2   1952-07-10T13:30:00  2023-09-22T12:16:04.5              -  #FFFFFF    0   \n",
       "3   1956-07-31T15:00:00    2023-11-02T10:20:00              -  #FFFFFF    0   \n",
       "4   1957-04-08T15:00:00    2023-11-02T10:00:00              -  #FFFFFF    0   \n",
       "..                  ...                    ...            ...      ...  ...   \n",
       "78  1963-10-11T12:00:00    2023-11-02T10:10:00              -  #FFFFFF    0   \n",
       "79  1963-10-22T13:45:00  2023-03-06T11:21:33.5              -  #FFFFFF    0   \n",
       "80  1963-07-30T03:00:00    2023-11-02T10:20:00              -  #FFFFFF    0   \n",
       "81  1978-03-23T14:40:00    2023-10-26T10:51:00              -  #FFFFFF    0   \n",
       "82  1977-06-20T12:15:00    2023-11-02T10:05:00              -  #FFFFFF    0   \n",
       "\n",
       "        param         label  \n",
       "0   Discharge        Master  \n",
       "1   Discharge  Field Visits  \n",
       "2   Discharge  Field Visits  \n",
       "3   Discharge        Master  \n",
       "4   Discharge        Master  \n",
       "..        ...           ...  \n",
       "78  Discharge        Master  \n",
       "79  Discharge  Field Visits  \n",
       "80  Discharge        Master  \n",
       "81  Discharge  Field Visits  \n",
       "82  Discharge        Master  \n",
       "\n",
       "[83 rows x 17 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3463ccc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Discharge (m^3/s)</th>\n",
       "      <th>Grade Code</th>\n",
       "      <th>Approval Level</th>\n",
       "      <th>Interpolation Type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp (UTC+12:00)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-01 00:00:00+12:00</th>\n",
       "      <td>44.90</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01 00:05:00+12:00</th>\n",
       "      <td>44.90</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01 00:10:00+12:00</th>\n",
       "      <td>44.77</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01 00:15:00+12:00</th>\n",
       "      <td>44.77</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01 00:20:00+12:00</th>\n",
       "      <td>44.77</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31 23:40:00+12:00</th>\n",
       "      <td>41.79</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31 23:45:00+12:00</th>\n",
       "      <td>41.79</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31 23:50:00+12:00</th>\n",
       "      <td>41.79</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-31 23:55:00+12:00</th>\n",
       "      <td>41.79</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-01 00:00:00+12:00</th>\n",
       "      <td>41.79</td>\n",
       "      <td>600</td>\n",
       "      <td>1200</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>102781 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Discharge (m^3/s)  Grade Code  Approval Level  \\\n",
       "Timestamp (UTC+12:00)                                                      \n",
       "2021-01-01 00:00:00+12:00              44.90         600            1200   \n",
       "2021-01-01 00:05:00+12:00              44.90         600            1200   \n",
       "2021-01-01 00:10:00+12:00              44.77         600            1200   \n",
       "2021-01-01 00:15:00+12:00              44.77         600            1200   \n",
       "2021-01-01 00:20:00+12:00              44.77         600            1200   \n",
       "...                                      ...         ...             ...   \n",
       "2021-12-31 23:40:00+12:00              41.79         600            1200   \n",
       "2021-12-31 23:45:00+12:00              41.79         600            1200   \n",
       "2021-12-31 23:50:00+12:00              41.79         600            1200   \n",
       "2021-12-31 23:55:00+12:00              41.79         600            1200   \n",
       "2022-01-01 00:00:00+12:00              41.79         600            1200   \n",
       "\n",
       "                           Interpolation Type  \n",
       "Timestamp (UTC+12:00)                          \n",
       "2021-01-01 00:00:00+12:00                   1  \n",
       "2021-01-01 00:05:00+12:00                   1  \n",
       "2021-01-01 00:10:00+12:00                   1  \n",
       "2021-01-01 00:15:00+12:00                   1  \n",
       "2021-01-01 00:20:00+12:00                   1  \n",
       "...                                       ...  \n",
       "2021-12-31 23:40:00+12:00                   1  \n",
       "2021-12-31 23:45:00+12:00                   1  \n",
       "2021-12-31 23:50:00+12:00                   1  \n",
       "2021-12-31 23:55:00+12:00                   1  \n",
       "2022-01-01 00:00:00+12:00                   1  \n",
       "\n",
       "[102781 rows x 4 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "discharge = NZ.fetch_dataset(\"Discharge.Master@95102\", start=\"2021-01-01\", finish=\"2022-01-01\", extra_data_types=\"all\")\n",
    "discharge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b820c1b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Timestamp (UTC+12:00)'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "discharge[\"Discharge (m^3/s)\"].plot(lw=1)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}