{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "# Demo example: filling gaps\n",
    "\n",
    "This example serves as a demonstration of how to fill gaps. We demonstrate this for temperature observations. First we import the demo data, then we introduce some gaps in them, and as a last step the gaps are filled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/thoverga/anaconda3/envs/metobs_dev/lib/python3.12/site-packages/geemap/conversion.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
      "  import pkg_resources\n",
      "Luchtdruk is present in the datafile, but not found in the template! This column will be ignored.\n",
      "Neerslagintensiteit is present in the datafile, but not found in the template! This column will be ignored.\n",
      "Neerslagsom is present in the datafile, but not found in the template! This column will be ignored.\n",
      "Rukwind is present in the datafile, but not found in the template! This column will be ignored.\n",
      "Luchtdruk_Zeeniveau is present in the datafile, but not found in the template! This column will be ignored.\n",
      "Globe Temperatuur is present in the datafile, but not found in the template! This column will be ignored.\n",
      "The following columns are present in the data file, but not in the template! They are skipped!\n",
      " ['Rukwind', 'Neerslagintensiteit', 'Globe Temperatuur', 'Luchtdruk', 'Neerslagsom', 'Luchtdruk_Zeeniveau']\n",
      "The following columns are found in the metadata, but not in the template and are therefore ignored: \n",
      "['sponsor', 'Network', 'benaming', 'stad']\n"
     ]
    }
   ],
   "source": [
    "import metobs_toolkit\n",
    "dataset = metobs_toolkit.Dataset() #Create a new dataset object\n",
    "\n",
    "#Load the data\n",
    "dataset.import_data_from_file(\n",
    "                    template_file=metobs_toolkit.demo_template, #The template file\n",
    "                    input_data_file=metobs_toolkit.demo_datafile, #The data file\n",
    "                    input_metadata_file=metobs_toolkit.demo_metadatafile, #The metadata file\n",
    "                    )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2",
   "metadata": {},
   "source": [
    "## Identifying gaps\n",
    "\n",
    "As was shown in the [introduction notebook](introduction.ipynb), gaps are constructed when:\n",
    "\n",
    "* raw data is imported\n",
    "* `resample()` or `Dataset.sync_records()` is applied\n",
    "\n",
    "And we can inspect the gaps by plotting timeseries with ``make_plot(colorby='label')``, or via the dataframe attribute `gapsdf`. Both methods work on Dataset-level as on Station-level.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'temp data.'}, xlabel='Timestamps (in UTC)', ylabel='temp (degree_Celsius)'>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset.make_plot(obstype='temp', colorby='label')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4",
   "metadata": {},
   "source": [
    "As can be seen in the plot, the number of gaps is rather limited. But it is clear that there are some issues with the observations. A common approach is to apply a quality control (QC) pipeline, and interpret the outliers as gaps. \n",
    "\n",
    "In the toolkit we can run a QC pipeline, see the [QC introduction](qc_example.ipynb), and then use the `.convert_outliers_to_gaps()` method to convert them to gaps. This is another method to introduce gaps in the dataset.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:<metobs_toolkit>:The present gaps are removed, new gaps are constructed for wind_direction data of station vlinder02..\n",
      "WARNING:<metobs_toolkit>:The present gaps are removed, new gaps are constructed for wind_speed data of station vlinder02..\n",
      "WARNING:<metobs_toolkit>:The present gaps are removed, new gaps are constructed for temp data of station vlinder02..\n",
      "WARNING:<metobs_toolkit>:The present gaps are removed, new gaps are constructed for humidity data of station vlinder02..\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/metobs_toolkit/qc_collection/repetitions_check.py:62: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "  groups.get_group(\n",
      "/home/thoverga/anaconda3/envs/metobs_dev/lib/python3.12/site-packages/numpy/_core/fromnumeric.py:57: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n",
      "  return bound(*args, **kwds)\n",
      "/home/thoverga/anaconda3/envs/metobs_dev/lib/python3.12/site-packages/numpy/_core/fromnumeric.py:57: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n",
      "  return bound(*args, **kwds)\n",
      "/home/thoverga/anaconda3/envs/metobs_dev/lib/python3.12/site-packages/numpy/_core/fromnumeric.py:57: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n",
      "  return bound(*args, **kwds)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'After quality control on temperature observations.'}, xlabel='Timestamps (in UTC)', ylabel='temp (degree_Celsius)'>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Apply quality control on temperature (source: the QC introduction)\n",
    "target = 'temp'\n",
    "#Resampling\n",
    "dataset.resample(target_freq='10min')\n",
    "\n",
    "#1. gross value check\n",
    "dataset.gross_value_check(\n",
    "            target_obstype=target,\n",
    "            lower_threshold=-10.0,\n",
    "            upper_threshold=26.3)\n",
    "\n",
    "#2. persistence check\n",
    "dataset.persistence_check(\n",
    "            target_obstype=target,\n",
    "            timewindow='60min',\n",
    "            min_records_per_window=3)\n",
    "\n",
    "#3. repetitions check\n",
    "dataset.repetitions_check(\n",
    "            target_obstype=target,\n",
    "            max_N_repetitions=5\n",
    ")\n",
    "\n",
    "#4. repetitions check\n",
    "dataset.step_check(\n",
    "            target_obstype=target,\n",
    "            max_increase_per_second = 8.0 / 3600.0, #depends on standard unit! \n",
    "            max_decrease_per_second = -10.0 / 3600.0) #depends on standard unit! \n",
    "\n",
    "#5. window variation check\n",
    "dataset.window_variation_check(\n",
    "            target_obstype=target,\n",
    "            timewindow='60min',\n",
    "            min_records_per_window=3,\n",
    "            max_increase_per_second=8.0 / 3600.0, #depends on standard unit! \n",
    "            max_decrease_per_second = -10.0 / 3600.0, #depends on standard unit! \n",
    "            )\n",
    "#6. buddy check\n",
    "dataset.buddy_check(\n",
    "        target_obstype=target,\n",
    "        #main check settings\n",
    "        spatial_buddy_radius=15000, #15km definition of buddy radius\n",
    "        spatial_z_threshold=2.0, #outlier threshold\n",
    "        #requirements\n",
    "        min_sample_size=5,\n",
    "        max_alt_diff=None,  # Maximum elevation difference between stations\n",
    "        N_iter=3, #Number of iterations\n",
    "        instantaneous_tolerance='4min', #Max timestamp tolerance for 'at the same time'\n",
    "        lapserate=None, #Specify the variation with altitude, if None no correction is applied\n",
    "        min_std=1.0,  # Minimum standart deviation\n",
    ")\n",
    "\n",
    "dataset.make_plot(obstype='temp', \n",
    "                  colorby='label',\n",
    "                  title='After quality control on temperature observations.')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6",
   "metadata": {},
   "source": [
    "Now we convert all the temperature outliers to gaps. \n",
    "\n",
    "*Note*: The outliers are removed, so the QC frequency statistics information is lost.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder01.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder01.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder01.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder01.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder02.!\n",
      "WARNING:<metobs_toolkit>:Flushing current gaps for wind_direction data of station vlinder02.\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder02.!\n",
      "WARNING:<metobs_toolkit>:Flushing current gaps for wind_speed data of station vlinder02.\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder02.!\n",
      "WARNING:<metobs_toolkit>:Flushing current gaps for temp data of station vlinder02.\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder02.!\n",
      "WARNING:<metobs_toolkit>:Flushing current gaps for humidity data of station vlinder02.\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder03.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder03.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder03.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder03.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder04.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder04.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder04.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder04.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder05.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder05.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder05.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder05.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder06.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder06.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder06.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder06.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder07.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder07.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder07.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder07.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder08.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder08.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder08.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder08.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder09.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder09.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder09.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder09.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder10.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder10.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder10.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder10.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder11.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder11.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder11.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder11.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder12.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder12.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder12.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder12.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder13.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder13.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder13.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder13.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder14.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder14.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder14.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder14.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder15.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder15.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder15.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder15.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder16.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder16.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder16.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder16.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder17.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder17.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder17.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder17.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder18.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder18.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder18.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder18.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder19.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder19.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder19.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder19.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder20.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder20.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder20.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder20.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder21.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder21.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder21.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder21.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder22.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder22.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder22.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder22.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder23.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder23.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder23.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder23.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder24.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder24.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder24.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder24.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder25.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder25.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder25.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder25.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder26.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder26.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder26.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder26.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder27.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder27.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder27.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder27.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_direction data of station vlinder28.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for wind_speed data of station vlinder28.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for temp data of station vlinder28.!\n",
      "WARNING:<metobs_toolkit>:Outliers are flushed for humidity data of station vlinder28.!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Temperature QC outliers are converted to gaps.'}, xlabel='Timestamps (in UTC)', ylabel='temp (degree_Celsius)'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#convert all outliers to gaps\n",
    "dataset.convert_outliers_to_gaps(obstype='temp')\n",
    "\n",
    "#Inspect the gaps in a plot\n",
    "dataset.make_plot(obstype='temp',\n",
    "                  colorby='label',\n",
    "                  title='Temperature QC outliers are converted to gaps.')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8",
   "metadata": {},
   "source": [
    "Since there are many gaps, for different stations, it is more clear to plot the time series of as single station. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'temp data for station vlinder02'}, xlabel='Timestamps (in UTC)', ylabel='temp (degree_Celsius)'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset.get_station('vlinder02').make_plot(obstype='temp',\n",
    "                                           colorby='label')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10",
   "metadata": {},
   "source": [
    "We now have a dataset with gaps that can be filled."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11",
   "metadata": {},
   "source": [
    "## Inspecting a gap in detail\n",
    "\n",
    "The gaps are stored as a list of ``Gap`` instances, in the `SensorData`. We can acces them like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "                              General info of Gap                               \n",
      "================================================================================\n",
      "\n",
      "\n",
      "--- Gap details ---\n",
      "\n",
      "Gap of temp for station: vlinder02\n",
      "  -From 2022-09-01 20:10:00+00:00 -> 2022-09-01 21:00:00+00:00\n",
      "  -Duration gap: 0 days 00:50:00\n",
      "\n",
      "--- Gap filling details ---\n",
      "\n",
      "  -Gap status: unfilled\n",
      "  -Gapfill settings used:\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Get one specific gap\n",
    "specific_gap = (dataset\n",
    "                .get_station('vlinder02') #select a target stations\n",
    "                .get_sensor('temp') #select a target sensordata\n",
    "                .gaps[0] #select the first of the stored gaps\n",
    "                )\n",
    "\n",
    "specific_gap.get_info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13",
   "metadata": {},
   "source": [
    "Often it is more convenient to use the `gapsdf` attribute:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "('datetime', 'obstype')",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "value",
         "rawType": "float32",
         "type": "float"
        },
        {
         "name": "label",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "details",
         "rawType": "object",
         "type": "string"
        }
       ],
       "ref": "569eeec8-4090-41c2-990b-7efc9279b432",
       "rows": [
        [
         "(Timestamp('2022-09-01 20:10:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-01 20:20:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-01 20:30:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-01 20:40:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-01 20:50:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-01 21:00:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 12:10:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 12:20:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 12:30:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 12:40:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 12:50:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 13:00:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 13:10:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 13:20:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 13:30:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 13:40:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 13:50:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 14:00:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 14:10:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 14:20:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 14:30:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 14:40:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 14:50:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 15:00:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 15:10:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 15:20:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 15:30:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 15:40:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 15:50:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 16:00:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 16:10:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 16:20:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 16:30:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 16:40:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 16:50:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 17:00:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 17:10:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 17:20:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 17:30:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 17:40:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 17:50:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 18:00:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 18:10:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 18:20:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 18:30:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 18:40:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 18:50:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 19:00:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 19:10:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ],
        [
         "(Timestamp('2022-09-02 19:20:00+0000', tz='UTC'), 'temp')",
         null,
         "gap",
         "no details"
        ]
       ],
       "shape": {
        "columns": 3,
        "rows": 465
       }
      },
      "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></th>\n",
       "      <th>value</th>\n",
       "      <th>label</th>\n",
       "      <th>details</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th>obstype</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:10:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:20:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:30:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:40:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:50:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 01:50:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:00:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:10:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:20:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:30:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>NaN</td>\n",
       "      <td>gap</td>\n",
       "      <td>no details</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>465 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   value label     details\n",
       "datetime                  obstype                         \n",
       "2022-09-01 20:10:00+00:00 temp       NaN   gap  no details\n",
       "2022-09-01 20:20:00+00:00 temp       NaN   gap  no details\n",
       "2022-09-01 20:30:00+00:00 temp       NaN   gap  no details\n",
       "2022-09-01 20:40:00+00:00 temp       NaN   gap  no details\n",
       "2022-09-01 20:50:00+00:00 temp       NaN   gap  no details\n",
       "...                                  ...   ...         ...\n",
       "2022-09-15 01:50:00+00:00 temp       NaN   gap  no details\n",
       "2022-09-15 02:00:00+00:00 temp       NaN   gap  no details\n",
       "2022-09-15 02:10:00+00:00 temp       NaN   gap  no details\n",
       "2022-09-15 02:20:00+00:00 temp       NaN   gap  no details\n",
       "2022-09-15 02:30:00+00:00 temp       NaN   gap  no details\n",
       "\n",
       "[465 rows x 3 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.get_station('vlinder02').gapsdf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15",
   "metadata": {},
   "source": [
    "These missing observations are indicated in time series plots as vertical lines:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16",
   "metadata": {},
   "source": [
    "## Fill gaps\n",
    "\n",
    "In the toolkit, two groups of methods are implemented: **interpolation methods** and by making **use of external modeldata**. \n",
    "\n",
    "**NOTE**: In this example, we use a single station (vlinder02) for demonstration. All methods can be directly applied on \n",
    "a Dataset, you do not need to apply this on all stations separately."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17",
   "metadata": {},
   "source": [
    "### Interpolation methods\n",
    "\n",
    "The most straightforward method to fill a gap is by using interpolation. Linear interpolation is the best-known form of interpolation, but there are also more advanced forms of interpolation. In the toolkit, we can easily interpolate the gaps by making use of the ``.interpolate_gaps()`` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:<metobs_toolkit>:Cannot interpolate <metobs_toolkit.gap.Gap object at 0x7efcd3f243e0> because the gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10). Increase the max_consec_fill or use another gapfill method.\n",
      "WARNING:<metobs_toolkit>:Cannot interpolate <metobs_toolkit.gap.Gap object at 0x7efcd2da4dd0> because the gap is too large (34 records) to be filled with interpolation (and max_consec_fill=10). Increase the max_consec_fill or use another gapfill method.\n",
      "WARNING:<metobs_toolkit>:Cannot interpolate <metobs_toolkit.gap.Gap object at 0x7efcd2da4bf0> because the gap is too large (189 records) to be filled with interpolation (and max_consec_fill=10). Increase the max_consec_fill or use another gapfill method.\n",
      "WARNING:<metobs_toolkit>:Cannot interpolate <metobs_toolkit.gap.Gap object at 0x7efcd2da5dc0> because the gap is too large (52 records) to be filled with interpolation (and max_consec_fill=10). Increase the max_consec_fill or use another gapfill method.\n",
      "WARNING:<metobs_toolkit>:Cannot interpolate <metobs_toolkit.gap.Gap object at 0x7efcd30f2360> because the gap is too large (18 records) to be filled with interpolation (and max_consec_fill=10). Increase the max_consec_fill or use another gapfill method.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Applying linear interpolation to fill the gaps.'}, xlabel='Timestamps (in UTC)', ylabel='temp (degree_Celsius)'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#apply linear interpolation\n",
    "dataset.get_station('vlinder02').interpolate_gaps(\n",
    "                    target_obstype='temp', #Which gaps to fill\n",
    "                    overwrite_fill = True, #Overwrite previous filled values if they are present\n",
    "                    method='linear', #which interpolation method\n",
    "                    #Limitations:\n",
    "                    max_consec_fill=10, #maximum number of consecutive missing records to fill.\n",
    "                    )\n",
    "#make a plot\n",
    "dataset.get_station('vlinder02').make_plot(\n",
    "                    obstype='temp',\n",
    "                    colorby='label',\n",
    "                    title='Applying linear interpolation to fill the gaps.')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19",
   "metadata": {},
   "source": [
    "As you can see, some (small) gaps are filled others are not filled. This is because a filling criteria was not matched (i.g. `max_consec_fill=10` will only fill gaps with a gapsize of 100 minutes (for 10min resolution)).\n",
    "\n",
    "By looking at the ``.gapsdf`` , it becomes clear why some gaps could not be filled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "('datetime', 'obstype')",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "value",
         "rawType": "float32",
         "type": "float"
        },
        {
         "name": "label",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "details",
         "rawType": "object",
         "type": "string"
        }
       ],
       "ref": "4c2c8a11-08c1-471d-b60b-929766a8e3d0",
       "rows": [
        [
         "(Timestamp('2022-09-01 20:10:00+0000', tz='UTC'), 'temp')",
         "20.657143",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 20:20:00+0000', tz='UTC'), 'temp')",
         "20.614286",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 20:30:00+0000', tz='UTC'), 'temp')",
         "20.571428",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 20:40:00+0000', tz='UTC'), 'temp')",
         "20.528572",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 20:50:00+0000', tz='UTC'), 'temp')",
         "20.485714",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 21:00:00+0000', tz='UTC'), 'temp')",
         "20.442858",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-02 12:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 12:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 12:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 12:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 12:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 13:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 13:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 13:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 13:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 13:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 13:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 14:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 14:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 14:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 14:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 14:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 14:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 15:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 15:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 15:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 15:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 15:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 15:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 16:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 16:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 16:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 16:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 16:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 16:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 17:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 17:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 17:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 17:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 17:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 17:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 18:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 18:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 18:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 18:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 18:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 18:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 19:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 19:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ],
        [
         "(Timestamp('2022-09-02 19:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed interpolation",
         "Gap is too large (81 records) to be filled with interpolation (and max_consec_fill=10)."
        ]
       ],
       "shape": {
        "columns": 3,
        "rows": 465
       }
      },
      "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></th>\n",
       "      <th>value</th>\n",
       "      <th>label</th>\n",
       "      <th>details</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th>obstype</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:10:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.657143</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:20:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.614286</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:30:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.571428</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:40:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.528572</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:50:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.485714</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 01:50:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.557143</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:00:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.585714</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:10:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.614285</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:20:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.642857</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:30:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.671429</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>465 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       value          label  \\\n",
       "datetime                  obstype                             \n",
       "2022-09-01 20:10:00+00:00 temp     20.657143  interpolation   \n",
       "2022-09-01 20:20:00+00:00 temp     20.614286  interpolation   \n",
       "2022-09-01 20:30:00+00:00 temp     20.571428  interpolation   \n",
       "2022-09-01 20:40:00+00:00 temp     20.528572  interpolation   \n",
       "2022-09-01 20:50:00+00:00 temp     20.485714  interpolation   \n",
       "...                                      ...            ...   \n",
       "2022-09-15 01:50:00+00:00 temp     12.557143  interpolation   \n",
       "2022-09-15 02:00:00+00:00 temp     12.585714  interpolation   \n",
       "2022-09-15 02:10:00+00:00 temp     12.614285  interpolation   \n",
       "2022-09-15 02:20:00+00:00 temp     12.642857  interpolation   \n",
       "2022-09-15 02:30:00+00:00 temp     12.671429  interpolation   \n",
       "\n",
       "                                                    details  \n",
       "datetime                  obstype                            \n",
       "2022-09-01 20:10:00+00:00 temp     Successful interpolation  \n",
       "2022-09-01 20:20:00+00:00 temp     Successful interpolation  \n",
       "2022-09-01 20:30:00+00:00 temp     Successful interpolation  \n",
       "2022-09-01 20:40:00+00:00 temp     Successful interpolation  \n",
       "2022-09-01 20:50:00+00:00 temp     Successful interpolation  \n",
       "...                                                     ...  \n",
       "2022-09-15 01:50:00+00:00 temp     Successful interpolation  \n",
       "2022-09-15 02:00:00+00:00 temp     Successful interpolation  \n",
       "2022-09-15 02:10:00+00:00 temp     Successful interpolation  \n",
       "2022-09-15 02:20:00+00:00 temp     Successful interpolation  \n",
       "2022-09-15 02:30:00+00:00 temp     Successful interpolation  \n",
       "\n",
       "[465 rows x 3 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.get_station('vlinder02').gapsdf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21",
   "metadata": {},
   "source": [
    "### Higher order interpolation demo\n",
    "\n",
    "When using more advanced interpolation methods, often multiple **anchors** (= the good records that serve as anchor points for the interpolation) are required. In the toolkit we will refer to a **leading period** and a **trailing period**, the anchor's observations before and after the gaps respectively. \n",
    "\n",
    "Here is an example on applying a polynomial interpolation on gaps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd3f276e0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:Cannot interpolate <metobs_toolkit.gap.Gap object at 0x7efcd3f243e0> because the gap is too large (81 records) to be filled with interpolation (and max_consec_fill=80). Increase the max_consec_fill or use another gapfill method.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd3f240b0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd3f254f0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2e4ce90> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da69c0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da6240> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da6d20> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:Cannot interpolate <metobs_toolkit.gap.Gap object at 0x7efcd2da4bf0> because the gap is too large (189 records) to be filled with interpolation (and max_consec_fill=80). Increase the max_consec_fill or use another gapfill method.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2eb70> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2da60> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2f380> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2e6f0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f2450> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f0530> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f1df0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f25d0> cannot be filled because it already contains filled values, and overwrite fill is False.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'linear interpolation (small gaps) +  3th-order-polynomial (for medium gaps)'}, xlabel='Timestamps (in UTC)', ylabel='temp (degree_Celsius)'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#apply polynomial interpolation \n",
    "dataset.get_station('vlinder02').interpolate_gaps(\n",
    "                  target_obstype='temp',\n",
    "                  method='polynomial',\n",
    "                  overwrite_fill=False, #the gaps that are already filled are skipped (i.g. chainig GF methods)\n",
    "                  n_leading_anchors=3, #at least 3 leading anchors are needed for 3th order polynomial interpolation\n",
    "                  n_trailing_anchors=4, #at least 3 trailing anchors are needed for 3th order polynomial interpolation\n",
    "                  max_consec_fill=80, \n",
    "                  max_lead_to_gap_distance='60min', #the maximum distance (in time) beween the leading anchors and the start of the gap.\n",
    "                  method_kwargs={'order':3}, #all extra arguments to pass to the pandas.Dataframe.interpolate method.\n",
    ")\n",
    "#make plot\n",
    "dataset.get_station('vlinder02').make_plot(\n",
    "                  obstype='temp',\n",
    "                  colorby='label',\n",
    "                  title='linear interpolation (small gaps) +  3th-order-polynomial (for medium gaps)')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23",
   "metadata": {},
   "source": [
    "## Fill gaps using external modeldata\n",
    "\n",
    "Another technique is to use an external source to fill the gaps. In the metobs-toolkit multiple variants of this technique are implemented, from simple to most complex:\n",
    "\n",
    "* `.fill_gaps_with_raw_modeldata`\n",
    "* `.fill_gaps_with_debiased_modeldata`\n",
    "* `.fill_gaps_with_diurnal_debiased_modeldata`\n",
    "* `.fill_gaps_with_weighted_diurnal_debias_modeldata`\n",
    "\n",
    "In general all methods use external modeldata and the more complex the method, the more complex the correction on the external modeldata is.\n",
    "\n",
    "For a detailed description we refer to the API documentation. \n",
    "\n",
    "\n",
    "As an example we will demonstrate the use of the `.fill_gaps_with_debiased_modeldata` method. To start, we need to extract external modeldata. We will extract ERA5-land temperature data, as is demonstrated in the [GEE example](gee_example.ipynb).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Extract ERA5 temperature modedata \n",
    "era5_manager = metobs_toolkit.default_GEE_datasets['ERA5-land']\n",
    "#Extract the timeseries \n",
    "era5_temp = dataset.get_station('vlinder02').get_gee_timeseries_data(\n",
    "                geedynamicdatasetmanager=era5_manager, #The datasetmanager to use\n",
    "                startdt_utc=None,\n",
    "                enddt_utc=None,\n",
    "                target_obstypes=['temp'], #the observationtypes to extract, must be known modelobstypes\n",
    "                force_direct_transfer=True\n",
    "                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Partially interpolated timeseries and raw ERA5 temperature data.'}, xlabel='Timestamps (in UTC)', ylabel='temp (degree_Celsius)'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Make a plot for illustration\n",
    "dataset.get_station('vlinder02').make_plot(\n",
    "                obstype='temp',\n",
    "                colorby='label',\n",
    "                show_modeldata=True,\n",
    "                title='Partially interpolated timeseries and raw ERA5 temperature data.')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26",
   "metadata": {},
   "source": [
    "As we can see, we have external modeldata over the same period as the observations so we can use it to fill the gaps. In the `.fill_gaps_with_debiased_modeldata`, we specify a *leading-* and *trailing period* (a adjacent period before and after the gap with good records). These periods will be used to compute a modelbias, for which the gapfill values will be corrected for. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd3f276e0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:Cannot fill <metobs_toolkit.gap.Gap object at 0x7efcd3f243e0> because no valid trailing period can be found.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd3f240b0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd3f254f0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2e4ce90> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da4dd0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da69c0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da6240> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da6d20> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da5dc0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2eb70> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2da60> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2f380> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2e6f0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f2450> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f2360> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f0530> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f1df0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f25d0> cannot be filled because it already contains filled values, and overwrite fill is False.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "#Fill the gaps with debias modeldata\n",
    "dataset.get_station('vlinder02').fill_gaps_with_debiased_modeldata(\n",
    "            target_obstype='temp',\n",
    "            leading_period_duration=pd.Timedelta('4h'),\n",
    "            min_leading_records_total=20,\n",
    "            trailing_period_duration=pd.Timedelta('4h'),\n",
    "            min_trailing_records_total=20)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Partially interpolated timeseries and partially filled with debiased ERA5 temperature data.'}, xlabel='Timestamps (in UTC)', ylabel='temp (degree_Celsius)'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Make a plot for illustration\n",
    "dataset.get_station('vlinder02').make_plot(\n",
    "                obstype='temp',\n",
    "                colorby='label',\n",
    "                show_modeldata=False,\n",
    "                title='Partially interpolated timeseries and partially filled with debiased ERA5 temperature data.')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29",
   "metadata": {},
   "source": [
    "As you can see, one of the remaining gaps is successfully filled with the debiased modeldata. One gap is not filled, to see why we inspect the `.modeldf` attribute."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "('datetime', 'obstype')",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "value",
         "rawType": "float32",
         "type": "float"
        },
        {
         "name": "label",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "details",
         "rawType": "object",
         "type": "string"
        }
       ],
       "ref": "e305195e-1a0f-4432-b784-126c5fe864a4",
       "rows": [
        [
         "(Timestamp('2022-09-01 20:10:00+0000', tz='UTC'), 'temp')",
         "20.657143",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 20:20:00+0000', tz='UTC'), 'temp')",
         "20.614286",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 20:30:00+0000', tz='UTC'), 'temp')",
         "20.571428",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 20:40:00+0000', tz='UTC'), 'temp')",
         "20.528572",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 20:50:00+0000', tz='UTC'), 'temp')",
         "20.485714",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-01 21:00:00+0000', tz='UTC'), 'temp')",
         "20.442858",
         "interpolation",
         "Successful interpolation"
        ],
        [
         "(Timestamp('2022-09-02 12:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 12:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 12:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 12:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 12:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 13:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 13:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 13:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 13:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 13:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 13:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 14:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 14:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 14:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 14:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 14:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 14:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 15:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 15:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 15:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 15:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 15:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 15:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 16:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 16:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 16:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 16:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 16:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 16:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 17:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 17:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 17:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 17:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 17:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 17:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 18:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 18:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 18:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 18:30:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 18:40:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 18:50:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 19:00:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 19:10:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ],
        [
         "(Timestamp('2022-09-02 19:20:00+0000', tz='UTC'), 'temp')",
         null,
         "failed debiased modeldata fill",
         "Too few trailing records (17 found but 20 needed)"
        ]
       ],
       "shape": {
        "columns": 3,
        "rows": 465
       }
      },
      "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></th>\n",
       "      <th>value</th>\n",
       "      <th>label</th>\n",
       "      <th>details</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th>obstype</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:10:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.657143</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:20:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.614286</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:30:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.571428</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:40:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.528572</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 20:50:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>20.485714</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 01:50:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.557143</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:00:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.585714</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:10:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.614285</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:20:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.642857</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-15 02:30:00+00:00</th>\n",
       "      <th>temp</th>\n",
       "      <td>12.671429</td>\n",
       "      <td>interpolation</td>\n",
       "      <td>Successful interpolation</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>465 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       value          label  \\\n",
       "datetime                  obstype                             \n",
       "2022-09-01 20:10:00+00:00 temp     20.657143  interpolation   \n",
       "2022-09-01 20:20:00+00:00 temp     20.614286  interpolation   \n",
       "2022-09-01 20:30:00+00:00 temp     20.571428  interpolation   \n",
       "2022-09-01 20:40:00+00:00 temp     20.528572  interpolation   \n",
       "2022-09-01 20:50:00+00:00 temp     20.485714  interpolation   \n",
       "...                                      ...            ...   \n",
       "2022-09-15 01:50:00+00:00 temp     12.557143  interpolation   \n",
       "2022-09-15 02:00:00+00:00 temp     12.585714  interpolation   \n",
       "2022-09-15 02:10:00+00:00 temp     12.614285  interpolation   \n",
       "2022-09-15 02:20:00+00:00 temp     12.642857  interpolation   \n",
       "2022-09-15 02:30:00+00:00 temp     12.671429  interpolation   \n",
       "\n",
       "                                                    details  \n",
       "datetime                  obstype                            \n",
       "2022-09-01 20:10:00+00:00 temp     Successful interpolation  \n",
       "2022-09-01 20:20:00+00:00 temp     Successful interpolation  \n",
       "2022-09-01 20:30:00+00:00 temp     Successful interpolation  \n",
       "2022-09-01 20:40:00+00:00 temp     Successful interpolation  \n",
       "2022-09-01 20:50:00+00:00 temp     Successful interpolation  \n",
       "...                                                     ...  \n",
       "2022-09-15 01:50:00+00:00 temp     Successful interpolation  \n",
       "2022-09-15 02:00:00+00:00 temp     Successful interpolation  \n",
       "2022-09-15 02:10:00+00:00 temp     Successful interpolation  \n",
       "2022-09-15 02:20:00+00:00 temp     Successful interpolation  \n",
       "2022-09-15 02:30:00+00:00 temp     Successful interpolation  \n",
       "\n",
       "[465 rows x 3 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.get_station('vlinder02').gapsdf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31",
   "metadata": {},
   "source": [
    "We see that the issue is too few trailing records (17 found but 20 required in a 4-hour period). You can verify this by looking in the `.df` attribute of the station to see that this is true. You can also see this in the timeseries plot if you zoom in to the trailing period, that there is a interpolated gap (insert `%matplotlib qt` in the cell with the `.make_plot()` call to use the zoom-tool.)\n",
    "\n",
    "\n",
    "Note that successful interpolated records are not included in the trailing period.\n",
    "\n",
    "In order to solve this, we can lessen the restriction for the trailing period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd3f276e0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd3f240b0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd3f254f0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2e4ce90> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da4dd0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da69c0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da6240> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da6d20> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da4bf0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd2da5dc0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2eb70> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2da60> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2f380> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efd04b2e6f0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f2450> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f2360> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f0530> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f1df0> cannot be filled because it already contains filled values, and overwrite fill is False.\n",
      "WARNING:<metobs_toolkit>:<metobs_toolkit.gap.Gap object at 0x7efcd30f25d0> cannot be filled because it already contains filled values, and overwrite fill is False.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Partially interpolated timeseries and partially filled with debiased ERA5 temperature data.'}, xlabel='Timestamps (in UTC)', ylabel='temp (degree_Celsius)'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "#Fill the gaps with debias modeldata\n",
    "dataset.get_station('vlinder02').fill_gaps_with_debiased_modeldata(\n",
    "            target_obstype='temp',\n",
    "            leading_period_duration=pd.Timedelta('4h'),\n",
    "            min_leading_records_total=20,\n",
    "            trailing_period_duration=pd.Timedelta('4h'),\n",
    "            min_trailing_records_total=15) #lessened restriction 20 -> 15\n",
    "\n",
    "#Make a plot for illustration\n",
    "dataset.get_station('vlinder02').make_plot(\n",
    "                obstype='temp',\n",
    "                colorby='label',\n",
    "                show_modeldata=False,\n",
    "                title='Partially interpolated timeseries and partially filled with debiased ERA5 temperature data.')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "metobs_dev",
   "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": "3.12.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}