{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "# Introduction to the MetObs-toolkit\n", "\n", "In this introduction, you will learn the principal components and methods in the MetObs-toolkit. Let's start by importing it.\n", "\n", "Since this package is under development, it is often relevant to know the precise version of the toolkit." ] }, { "cell_type": "code", "execution_count": 1, "id": "1", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:33.457021Z", "iopub.status.busy": "2025-05-14T11:44:33.456122Z", "iopub.status.idle": "2025-05-14T11:44:37.587248Z", "shell.execute_reply": "2025-05-14T11:44:37.582634Z" } }, "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" ] }, { "name": "stdout", "output_type": "stream", "text": [ "0.4.1\n" ] } ], "source": [ "import metobs_toolkit\n", "\n", "#Print out the version of the toolkit\n", "print(metobs_toolkit.__version__)" ] }, { "cell_type": "markdown", "id": "2", "metadata": {}, "source": [ "## The Dataset class\n", "\n", "The ``Dataset`` class is for most applications the most important class. It holds all your stations and it's data. Thus a ``Dataset`` is in principal a collection of stations.\n", "\n", "Since raw data files often include observations from multiple stations, we import our raw data always directly into a ``Dataset``. We use the ``Dataset.import_data_from_file()`` method, to import the raw data into a Dataset. \n", "\n", "A key component for importing raw data, is a description of what your data represents and how it is formatted. This is done by providing a **template file**, that describes how your raw data is structured. \n", "\n" ] }, { "cell_type": "markdown", "id": "3", "metadata": {}, "source": [ "### Importing your raw data\n", "\n", "As an example we will import a demo file of raw observations. In order to do that we need to :\n", "\n", "* Create a template file for our raw data file. The ``build_template_prompt()`` function will guide you in this process. It will ask questions, once you answered them a template file is created. It will also propose some code that you use to import your data\n", "* Create a ``Dataset`` instance \n", "* Add the raw data into the ``Dataset``." ] }, { "cell_type": "code", "execution_count": 2, "id": "4", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:37.593868Z", "iopub.status.busy": "2025-05-14T11:44:37.592854Z", "iopub.status.idle": "2025-05-14T11:44:37.606592Z", "shell.execute_reply": "2025-05-14T11:44:37.605149Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Specify the path to your raw data file (we use the demo file as example)\n", "path_to_datafile=metobs_toolkit.demo_datafile\n", "\n", "# We will also use a metadata file\n", "path_to_metadatafile=metobs_toolkit.demo_metadatafile" ] }, { "cell_type": "code", "execution_count": 3, "id": "5", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:37.610243Z", "iopub.status.busy": "2025-05-14T11:44:37.609801Z", "iopub.status.idle": "2025-05-14T11:44:37.623821Z", "shell.execute_reply": "2025-05-14T11:44:37.622864Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%script true\n", "\n", "#Create a template for these data files\n", "metobs_toolkit.build_template_prompt()" ] }, { "cell_type": "code", "execution_count": 4, "id": "6", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:37.628033Z", "iopub.status.busy": "2025-05-14T11:44:37.627660Z", "iopub.status.idle": "2025-05-14T11:44:37.634619Z", "shell.execute_reply": "2025-05-14T11:44:37.633359Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#specify the path to the templatefile that was created\n", "path_to_templatefile=metobs_toolkit.demo_template #demo file as example!!" ] }, { "cell_type": "markdown", "id": "7", "metadata": {}, "source": [ "Now that we have the datafiles and the templatefile, we create an empty ``Dataset``, and import the data into it." ] }, { "cell_type": "code", "execution_count": 5, "id": "8", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:37.638196Z", "iopub.status.busy": "2025-05-14T11:44:37.637647Z", "iopub.status.idle": "2025-05-14T11:44:41.297033Z", "shell.execute_reply": "2025-05-14T11:44:41.296279Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "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", " ['Luchtdruk', 'Luchtdruk_Zeeniveau', 'Neerslagintensiteit', 'Globe Temperatuur', 'Neerslagsom', 'Rukwind']\n", "The following columns are found in the metadata, but not in the template and are therefore ignored: \n", "['benaming', 'stad', 'Network', 'sponsor']\n" ] } ], "source": [ "dataset = metobs_toolkit.Dataset() #Create a new dataset object\n", "\n", "#Load the data\n", "dataset.import_data_from_file(\n", " template_file=path_to_templatefile, #The template file\n", " input_data_file=path_to_datafile, #The data file\n", " input_metadata_file=path_to_metadatafile, #The metadata file\n", " )" ] }, { "cell_type": "markdown", "id": "9", "metadata": {}, "source": [ "As can be seen in the printed logs, there is a lot going on when importing the data. That is because tests are applied on your data to check for gaps, and mismatches between data and metadata. \n", "\n", "We can now inspect the ´dataset´ further." ] }, { "cell_type": "markdown", "id": "10", "metadata": {}, "source": [ "## The attributes\n", "\n", "The attributes are holding the data of the dataset. Here we present some attributes that can be useful to inspect.\n" ] }, { "cell_type": "markdown", "id": "11", "metadata": {}, "source": [ "\n", "
\n", "All classes in the MetObs-toolkit have a ``get_info()`` methods that prints out an overview of its content.\n", "
" ] }, { "cell_type": "markdown", "id": "12", "metadata": {}, "source": [ "* ``Dataset.obstypes`` : A collection of ``Obstypes`` that are known. These observationtypes describe a measurable quantity, and its corresponding units." ] }, { "cell_type": "code", "execution_count": 6, "id": "13", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:41.301338Z", "iopub.status.busy": "2025-05-14T11:44:41.300268Z", "iopub.status.idle": "2025-05-14T11:44:41.308520Z", "shell.execute_reply": "2025-05-14T11:44:41.307663Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "{'temp': Obstype instance of temp,\n", " 'humidity': Obstype instance of humidity,\n", " 'radiation_temp': Obstype instance of radiation_temp,\n", " 'pressure': Obstype instance of pressure,\n", " 'pressure_at_sea_level': Obstype instance of pressure_at_sea_level,\n", " 'precip': Obstype instance of precip,\n", " 'precip_sum': Obstype instance of precip_sum,\n", " 'wind_speed': Obstype instance of wind_speed,\n", " 'wind_gust': Obstype instance of wind_gust,\n", " 'wind_direction': Obstype instance of wind_direction}" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset.obstypes" ] }, { "cell_type": "code", "execution_count": 7, "id": "14", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:41.311248Z", "iopub.status.busy": "2025-05-14T11:44:41.310964Z", "iopub.status.idle": "2025-05-14T11:44:41.317326Z", "shell.execute_reply": "2025-05-14T11:44:41.316186Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "['humidity', 'temp', 'wind_direction', 'wind_speed']" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Note! The known obstypes are NOT the obstypes for which there are observations.\n", "#To get the obstypes for which there are observations, use:\n", "dataset.present_observations" ] }, { "cell_type": "markdown", "id": "15", "metadata": {}, "source": [ "* ``Dataset.template``: A template class, that is automatically set up by using the template file. This is only used when data is imported from a file. It has no further use." ] }, { "cell_type": "code", "execution_count": 8, "id": "16", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:41.321712Z", "iopub.status.busy": "2025-05-14T11:44:41.321417Z", "iopub.status.idle": "2025-05-14T11:44:41.327767Z", "shell.execute_reply": "2025-05-14T11:44:41.326855Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "================================================================================\n", " General info of Template \n", "================================================================================\n", "\n", "\n", "--- Data obstypes map ---\n", "\n", " -temp: Temperatuur\n", " -raw data in degC\n", " -description: 2mT passive\n", " -humidity: Vochtigheid\n", " -raw data in percent\n", " -description: 2m relative humidity passive\n", " -wind_speed: Windsnelheid\n", " -raw data in km/h\n", " -description: Average 2m 10-min windspeed\n", " -wind_direction: Windrichting\n", " -raw data in degrees\n", " -description: Average 2m 10-min windspeed, north is zero in CW direction...\n", "\n", "--- Data extra mapping info ---\n", "\n", " -name column (data) <---> Vlinder\n", "\n", "--- Data timestamp map ---\n", "\n", " -datetimecolumn <---> None\n", " -time_column <---> Tijd (UTC)\n", " -date_column <---> Datum\n", " -fmt <---> %Y-%m-%d %H:%M:%S\n", " -Timezone <---> UTC\n", "\n", "--- Metadata map ---\n", "\n", " -name <---> Vlinder\n", " -lat <---> lat\n", " -lon <---> lon\n", " -school <---> school\n", "\n" ] } ], "source": [ "template = dataset.template\n", "\n", "template.get_info() # Prints out how the template maps raw data" ] }, { "cell_type": "markdown", "id": "17", "metadata": {}, "source": [ "* ``dataset.df``: A pandas DataFrame holding all the observation records." ] }, { "cell_type": "code", "execution_count": 9, "id": "18", "metadata": { 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" ], "text/plain": [ " value label\n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 humidity vlinder01 65.000000 ok\n", " vlinder02 62.000000 ok\n", " vlinder03 65.000000 ok\n", " vlinder04 66.000000 ok\n", " vlinder05 61.000000 ok\n", "... ... ...\n", "2022-09-15 23:55:00+00:00 wind_speed vlinder24 0.000000 ok\n", " vlinder25 1.972222 ok\n", " vlinder26 0.027778 ok\n", " vlinder27 0.000000 ok\n", " vlinder28 0.000000 ok\n", "\n", "[483840 rows x 2 columns]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset.df" ] }, { "cell_type": "markdown", "id": "19", "metadata": {}, "source": [ "* ``dataset.metadf``: A pandas DataFrame holding all the metadata of the stations." ] }, { "cell_type": "code", "execution_count": 10, "id": "20", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:42.908530Z", "iopub.status.busy": "2025-05-14T11:44:42.908201Z", "iopub.status.idle": "2025-05-14T11:44:43.433456Z", "shell.execute_reply": "2025-05-14T11:44:43.432545Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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latlonschoolgeometry
name
vlinder0150.9804383.815763UGentPOINT (3.81576 50.98044)
vlinder0251.0223793.709695UGentPOINT (3.7097 51.02238)
vlinder0351.3245834.952109Heilig GrafPOINT (4.95211 51.32458)
vlinder0451.3355224.934732Heilig GrafPOINT (4.93473 51.33552)
vlinder0551.0526553.675183Sint-BarbaraPOINT (3.67518 51.05266)
vlinder0651.0271004.516300BimSemPOINT (4.5163 51.0271)
vlinder0751.0308894.478445PTSPOINT (4.47844 51.03089)
vlinder0851.0281304.477398TSMPOINT (4.4774 51.02813)
vlinder0950.9271674.075722SMIPOINT (4.07572 50.92717)
vlinder1050.9355564.041389SMIPOINT (4.04139 50.93556)
vlinder1151.2224224.381726Sint-AnnacollegePOINT (4.38173 51.22242)
vlinder1251.2164774.423440UGentPOINT (4.42344 51.21648)
vlinder1351.2122114.398065UGentPOINT (4.39806 51.21221)
vlinder1451.3506184.315013UGentPOINT (4.31501 51.35062)
vlinder1550.9353004.192600Sint-MartinusPOINT (4.1926 50.9353)
vlinder1651.2668504.293436Sint-MaartenPOINT (4.29344 51.26685)
vlinder1751.0652695.613458Sint-Augustinusinstituut BreePOINT (5.61346 51.06527)
vlinder1851.1362445.656769TISM BreePOINT (5.65677 51.13624)
vlinder1950.8414554.363672UGentPOINT (4.36367 50.84146)
vlinder2050.8470254.357971UGentPOINT (4.35797 50.84702)
vlinder2151.2603892.991917ZeelyceumPOINT (2.99192 51.26039)
vlinder2250.9895012.856220‘t SaamPOINT (2.85622 50.9895)
vlinder2351.2605783.580151Richtpunt EekloPOINT (3.58015 51.26058)
vlinder2451.1670153.572062OLV ten DoornPOINT (3.57206 51.16702)
vlinder2551.1547203.708611Einstein AtheneumPOINT (3.70861 51.15472)
vlinder2651.1617604.997653Sint DimpnaPOINT (4.99765 51.16176)
vlinder2751.0580993.728067Sec. KunstinstituutPOINT (3.72807 51.0581)
vlinder2851.0352933.769741GO! Ath.POINT (3.76974 51.03529)
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" ], "text/plain": [ " lat lon school \\\n", "name \n", "vlinder01 50.980438 3.815763 UGent \n", "vlinder02 51.022379 3.709695 UGent \n", "vlinder03 51.324583 4.952109 Heilig Graf \n", "vlinder04 51.335522 4.934732 Heilig Graf \n", "vlinder05 51.052655 3.675183 Sint-Barbara \n", "vlinder06 51.027100 4.516300 BimSem \n", "vlinder07 51.030889 4.478445 PTS \n", "vlinder08 51.028130 4.477398 TSM \n", "vlinder09 50.927167 4.075722 SMI \n", "vlinder10 50.935556 4.041389 SMI \n", "vlinder11 51.222422 4.381726 Sint-Annacollege \n", "vlinder12 51.216477 4.423440 UGent \n", "vlinder13 51.212211 4.398065 UGent \n", "vlinder14 51.350618 4.315013 UGent \n", "vlinder15 50.935300 4.192600 Sint-Martinus \n", "vlinder16 51.266850 4.293436 Sint-Maarten \n", "vlinder17 51.065269 5.613458 Sint-Augustinusinstituut Bree \n", "vlinder18 51.136244 5.656769 TISM Bree \n", "vlinder19 50.841455 4.363672 UGent \n", "vlinder20 50.847025 4.357971 UGent \n", "vlinder21 51.260389 2.991917 Zeelyceum \n", "vlinder22 50.989501 2.856220 ‘t Saam \n", "vlinder23 51.260578 3.580151 Richtpunt Eeklo \n", "vlinder24 51.167015 3.572062 OLV ten Doorn \n", "vlinder25 51.154720 3.708611 Einstein Atheneum \n", "vlinder26 51.161760 4.997653 Sint Dimpna \n", "vlinder27 51.058099 3.728067 Sec. Kunstinstituut \n", "vlinder28 51.035293 3.769741 GO! Ath. \n", "\n", " geometry \n", "name \n", "vlinder01 POINT (3.81576 50.98044) \n", "vlinder02 POINT (3.7097 51.02238) \n", "vlinder03 POINT (4.95211 51.32458) \n", "vlinder04 POINT (4.93473 51.33552) \n", "vlinder05 POINT (3.67518 51.05266) \n", "vlinder06 POINT (4.5163 51.0271) \n", "vlinder07 POINT (4.47844 51.03089) \n", "vlinder08 POINT (4.4774 51.02813) \n", "vlinder09 POINT (4.07572 50.92717) \n", "vlinder10 POINT (4.04139 50.93556) \n", "vlinder11 POINT (4.38173 51.22242) \n", "vlinder12 POINT (4.42344 51.21648) \n", "vlinder13 POINT (4.39806 51.21221) \n", "vlinder14 POINT (4.31501 51.35062) \n", "vlinder15 POINT (4.1926 50.9353) \n", "vlinder16 POINT (4.29344 51.26685) \n", "vlinder17 POINT (5.61346 51.06527) \n", "vlinder18 POINT (5.65677 51.13624) \n", "vlinder19 POINT (4.36367 50.84146) \n", "vlinder20 POINT (4.35797 50.84702) \n", "vlinder21 POINT (2.99192 51.26039) \n", "vlinder22 POINT (2.85622 50.9895) \n", "vlinder23 POINT (3.58015 51.26058) \n", "vlinder24 POINT (3.57206 51.16702) \n", "vlinder25 POINT (3.70861 51.15472) \n", "vlinder26 POINT (4.99765 51.16176) \n", "vlinder27 POINT (3.72807 51.0581) \n", "vlinder28 POINT (3.76974 51.03529) " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset.metadf" ] }, { "cell_type": "markdown", "id": "21", "metadata": {}, "source": [ "## Station class\n", "\n", "The stationclass is a representatio of a station. A station holds the following:\n", "\n", "* ``Station.sensordata``: Timeseries of an observation type. A station can hold multiple sensordata, one for each sensor. \n", "* ``Station.site``: Each station has a ´Site´ attribute, that holds the information on the location of the station. Metadata related to the station is also stored here. \n", "* ``Station.modeldata``: In addition to the observations, modeldata timeseries representing the station can be stored. In pracktice, if one would download ERA5 data (using the MetObs-toolkit), the timeseries are stored as modeldata in the Station.\n", "\n", "\n", "To select a station, one can use the *name* of the station, which is assumed to be unique for each station." ] }, { "cell_type": "markdown", "id": "22", "metadata": {}, "source": [ "\n", "
\n", "All the methods and attributes that are present in the ``Dataset`` are also applicable on the ``Station``! Thus if your script works on Dataset-level, it also works on station-level. \n", "\n", "\n", "Only the ``Dataset.sync_records()``, ``Dataset.buddy_check()``, and trivial Dataset-only methods (i.g. ``Dataset.get_station()``) are not defined for Stations.\n", "
" ] }, { "cell_type": "code", "execution_count": 11, "id": "23", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:43.436430Z", "iopub.status.busy": "2025-05-14T11:44:43.436108Z", "iopub.status.idle": "2025-05-14T11:44:43.455156Z", "shell.execute_reply": "2025-05-14T11:44:43.454151Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "================================================================================\n", " General info of Station \n", "================================================================================\n", "\n", "\n", "--- Observational info ---\n", "\n", "Station instance with:\n", " -humidity:\n", " -humidity observations in percent\n", " -from 2022-09-01 00:00:00+00:00 -> 2022-09-15 23:55:00+00:00\n", " -At a resolution of 0 days 00:05:00\n", " -No outliers present.\n", " -2 gaps present, a total of 3 missing timestamps.\n", " -label counts: \n", " -gap: 3\n", " -temp:\n", " -temp observations in degree_Celsius\n", " -from 2022-09-01 00:00:00+00:00 -> 2022-09-15 23:55:00+00:00\n", " -At a resolution of 0 days 00:05:00\n", " -No outliers present.\n", " -2 gaps present, a total of 3 missing timestamps.\n", " -label counts: \n", " -gap: 3\n", " -wind_direction:\n", " -wind_direction observations in degree\n", " -from 2022-09-01 00:00:00+00:00 -> 2022-09-15 23:55:00+00:00\n", " -At a resolution of 0 days 00:05:00\n", " -No outliers present.\n", " -2 gaps present, a total of 3 missing timestamps.\n", " -label counts: \n", " -gap: 3\n", " -wind_speed:\n", " -wind_speed observations in meter / second\n", " -from 2022-09-01 00:00:00+00:00 -> 2022-09-15 23:55:00+00:00\n", " -At a resolution of 0 days 00:05:00\n", " -No outliers present.\n", " -2 gaps present, a total of 3 missing timestamps.\n", " -label counts: \n", " -gap: 3\n", "\n", "--- Metadata info ---\n", "\n", " -Coordinates (51.022379, 3.709695) (latitude, longitude)\n", " -Altitude is unknown\n", " -LCZ is unknown\n", " -Land cover fractions are unknown\n", " -Extra metadata from the metadata file:\n", " -school: UGent\n", "\n", "--- Modeldata info ---\n", "\n", " -Station instance without model data.\n", "\n" ] } ], "source": [ "#Select a station\n", "your_station = dataset.get_station('vlinder02')\n", "\n", "#Print out some details\n", "your_station.get_info()" ] }, { "cell_type": "code", "execution_count": 12, "id": "24", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:43.457674Z", "iopub.status.busy": "2025-05-14T11:44:43.457152Z", "iopub.status.idle": "2025-05-14T11:44:43.462747Z", "shell.execute_reply": "2025-05-14T11:44:43.461995Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "================================================================================\n", " General Info of Site \n", "================================================================================\n", "\n", "Site of vlinder02:\n", " -Coordinates (51.022379, 3.709695) (latitude, longitude)\n", " -Altitude is unknown\n", " -LCZ is unknown\n", " -Land cover fractions are unknown\n", " -Extra metadata from the metadata file:\n", " -school: UGent\n", "\n" ] } ], "source": [ "# Inspecting the attributes of the station\n", "\n", "#Print out info on the Site of the station:\n", "your_station.site.get_info()" ] }, { "cell_type": "code", "execution_count": 13, "id": "25", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:43.465261Z", "iopub.status.busy": "2025-05-14T11:44:43.464962Z", "iopub.status.idle": "2025-05-14T11:44:43.515564Z", "shell.execute_reply": "2025-05-14T11:44:43.514736Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, 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17280 rows × 2 columns

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" ], "text/plain": [ " value label\n", "datetime obstype \n", "2022-09-01 00:00:00+00:00 humidity 62.000000 ok\n", " temp 19.400000 ok\n", " wind_direction 25.000000 ok\n", " wind_speed 0.194444 ok\n", "2022-09-01 00:05:00+00:00 humidity 62.000000 ok\n", "... ... ...\n", "2022-09-15 23:50:00+00:00 wind_speed 0.000000 ok\n", "2022-09-15 23:55:00+00:00 humidity 83.000000 ok\n", " temp 12.900000 ok\n", " wind_direction 295.000000 ok\n", " wind_speed 0.000000 ok\n", "\n", "[17280 rows x 2 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# All observational data is stored as SensorData\n", "\n", "print(your_station.get_sensor('temp'))\n", "\n", "# More convenient is to use the pandas dataframe representations,\n", "# similar as with the Dataset\n", "\n", "your_station.df" ] }, { "cell_type": "code", "execution_count": 14, "id": "26", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:43.520497Z", "iopub.status.busy": "2025-05-14T11:44:43.519892Z", "iopub.status.idle": "2025-05-14T11:44:43.545557Z", "shell.execute_reply": "2025-05-14T11:44:43.544892Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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latlonschoolgeometry
name
vlinder0251.0223793.709695UGentPOINT (3.7097 51.02238)
\n", "
" ], "text/plain": [ " lat lon school geometry\n", "name \n", "vlinder02 51.022379 3.709695 UGent POINT (3.7097 51.02238)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Or the metadata for this singel station\n", "your_station.metadf" ] }, { "cell_type": "markdown", "id": "27", "metadata": {}, "source": [ "## Plotting timeseries\n", "\n", "Plotting the timeseries can be simply done by using the ``make_plot()`` method, on a ``Dataset`` or a ``Station``." ] }, { "cell_type": "code", "execution_count": 15, "id": "28", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:43.547679Z", "iopub.status.busy": "2025-05-14T11:44:43.547404Z", "iopub.status.idle": "2025-05-14T11:44:47.012795Z", "shell.execute_reply": "2025-05-14T11:44:47.012190Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dataset.make_plot(obstype='temp', #Which observation type to plot. (See dataset.present_observations)\n", " colorby='station', #if 'station', each station will be a different color\n", " show_outliers=True,\n", " show_gaps=True)" ] }, { "cell_type": "code", "execution_count": 16, "id": "29", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:47.015069Z", "iopub.status.busy": "2025-05-14T11:44:47.014742Z", "iopub.status.idle": "2025-05-14T11:44:47.395828Z", "shell.execute_reply": "2025-05-14T11:44:47.394972Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#We can also plot a single station\n", "your_station.make_plot(obstype='humidity',\n", " colorby='label') #If 'label', the colors are based on the status/label of an observation." ] }, { "cell_type": "markdown", "id": "30", "metadata": {}, "source": [ "## Common usecases\n", "\n", "Here a collection of common usecases." ] }, { "cell_type": "markdown", "id": "31", "metadata": {}, "source": [ "### Resampling time resolution\n", "\n", "It is common to change or alter the time resolution of your observations. This is often applied when:\n", "\n", "* the data amount is to big, and the present time resolution is not required for the analysis.\n", "* sensor do not have the same time resolution. (i.g. temperature is measured every 5 minutes, but precipitation is measured each hour.)\n", "* Observations are not synchronized over multiple stations. This is a special case of resampling, since there is also a synchronization required.\n", "\n", "It is recommended to set the target time resolution, in the beginning of your pipeline! \n", "\n", "In the MetObs-toolkit you can resample by using the ``resample()`` method on a ``Dataset`` or ``Station``. By doing so, the toolkit will construct a set of target timestamps (in the new resolution), and will map the raw timestamps to the new target timestamps. There is no interpolation applied! \n", "\n", "In order to construct the mapping of the old timestamps to the target timestamps, a tolerance is used. The nearest timestamp is tested if it is within the tolerance of the target timestamp. If this test is not successful, no record could be assigned to the target timestamp and thus a gap is created. Thus by increasing the *shift_tolerance*, the resampling method will have more mapped timestamps thus less gaps but at the cost of less accurate timestamps." ] }, { "cell_type": "code", "execution_count": 17, "id": "32", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:47.398397Z", "iopub.status.busy": "2025-05-14T11:44:47.398134Z", "iopub.status.idle": "2025-05-14T11:44:54.217219Z", "shell.execute_reply": "2025-05-14T11:44:54.215860Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING::Luchtdruk is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Neerslagintensiteit is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Neerslagsom is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Rukwind is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Luchtdruk_Zeeniveau is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Globe Temperatuur is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::The following columns are present in the data file, but not in the template! They are skipped!\n", " ['Luchtdruk', 'Luchtdruk_Zeeniveau', 'Neerslagintensiteit', 'Globe Temperatuur', 'Neerslagsom', 'Rukwind']\n", "WARNING::The following columns are found in the metadata, but not in the template and are therefore ignored: \n", "['benaming', 'stad', 'Network', 'sponsor']\n", "WARNING::The present gaps are removed, new gaps are constructed for wind_speed data of station vlinder02..\n", "WARNING::The present gaps are removed, new gaps are constructed for temp data of station vlinder02..\n", "WARNING::The present gaps are removed, new gaps are constructed for humidity data of station vlinder02..\n", "WARNING::The present gaps are removed, new gaps are constructed for wind_direction data of station vlinder02..\n" ] }, { "data": { "text/plain": [ "MultiIndex([('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder01'),\n", " ('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder02'),\n", " ('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder03'),\n", " ('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder04'),\n", " ('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder05'),\n", " ('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder06'),\n", " ('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder07'),\n", " ('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder08'),\n", " ('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder09'),\n", " ('2022-09-01 00:00:00+00:00', 'humidity', 'vlinder10'),\n", " ...\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder19'),\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder20'),\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder21'),\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder22'),\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder23'),\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder24'),\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder25'),\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder26'),\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder27'),\n", " ('2022-09-15 23:00:00+00:00', 'wind_speed', 'vlinder28')],\n", " names=['datetime', 'obstype', 'name'], length=40320)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "hourly_dataset = metobs_toolkit.Dataset()\n", "#Load the data (raw data has 5 min resolution)\n", "hourly_dataset.import_data_from_file(\n", " template_file=path_to_templatefile, #The template file\n", " input_data_file=path_to_datafile, #The data file\n", " input_metadata_file=path_to_metadatafile, #The metadata file\n", " )\n", "#Resample to 1 hour resolution\n", "hourly_dataset.resample(target_freq='1h', #Target frequency is set to 1 hour\n", " target_obstype=None, #if None, all present observations are resampled\n", " shift_tolerance='4min', #The maximum shift allow for a timestamp\n", " origin_simplify_tolerance='3min') # The maximum shift for the origin, to get a simplified origin\n", "\n", "# You can verify that the resolution is hourly by inspecting the df attribute\n", "hourly_dataset.df.index" ] }, { "cell_type": "markdown", "id": "33", "metadata": {}, "source": [ "### Dataframe of one observationtype\n", "\n", "The ``Dataset.df`` and ``Station.df`` returns a pandas dataframe with a so called Multi-Index. That is because the combination of [´timestamp´, ´observationtype´, 'stationname´] defines an observation, thus the use of the Multi-Index. \n", "\n", "We are aware that working with Multi-Indexed dataframes can be challenging, thus an example on how to convert a multiindex dataframe to a regular-indexed dataframe. \n", "\n", "Be aware that removing (or reducing) the Multi-Index, is always a subsetting or approximation." ] }, { "cell_type": "code", "execution_count": 18, "id": "34", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:54.226333Z", "iopub.status.busy": "2025-05-14T11:44:54.224532Z", "iopub.status.idle": "2025-05-14T11:44:55.566190Z", "shell.execute_reply": "2025-05-14T11:44:55.565287Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "('datetime', 'name')", "rawType": 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valuelabel
datetimename
2022-09-01 00:00:00+00:00vlinder0118.799999ok
vlinder0219.400000ok
vlinder0317.000000ok
vlinder0415.900000ok
vlinder0521.100000ok
............
2022-09-15 23:55:00+00:00vlinder2411.100000ok
vlinder2514.100000ok
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" ], "text/plain": [ " value label\n", "datetime name \n", "2022-09-01 00:00:00+00:00 vlinder01 18.799999 ok\n", " vlinder02 19.400000 ok\n", " vlinder03 17.000000 ok\n", " vlinder04 15.900000 ok\n", " vlinder05 21.100000 ok\n", "... ... ...\n", "2022-09-15 23:55:00+00:00 vlinder24 11.100000 ok\n", " vlinder25 14.100000 ok\n", " vlinder26 13.300000 ok\n", " vlinder27 14.300000 ok\n", " vlinder28 13.000000 ok\n", "\n", "[120960 rows x 2 columns]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Subset to only temperatures (=subsetting)\n", "\n", "temperatures = dataset.df.xs(key='temp', \n", " level='obstype', #the level of the index ('datetime', 'name' or 'obstype')\n", " drop_level=True)\n", "\n", "#You can see that the index now only has 2-levels:\n", "temperatures" ] }, { "cell_type": "code", "execution_count": 19, "id": "35", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:55.569370Z", "iopub.status.busy": 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14.300000 ... ok ok \n", "2022-09-15 23:40:00+00:00 13.100000 14.200000 ... ok ok \n", "2022-09-15 23:45:00+00:00 13.000000 14.200000 ... ok ok \n", "2022-09-15 23:50:00+00:00 13.000000 14.200000 ... ok ok \n", "2022-09-15 23:55:00+00:00 13.000000 14.100000 ... ok ok \n", "\n", " \\\n", "name vlinder21 vlinder22 vlinder23 vlinder24 vlinder25 \n", "datetime \n", "2022-09-01 00:00:00+00:00 ok ok ok ok ok \n", "2022-09-01 00:05:00+00:00 ok ok ok ok ok \n", "2022-09-01 00:10:00+00:00 ok ok ok ok ok \n", "2022-09-01 00:15:00+00:00 ok ok ok ok ok \n", "2022-09-01 00:20:00+00:00 ok ok ok ok ok \n", "... ... ... ... ... ... \n", "2022-09-15 23:35:00+00:00 ok ok ok ok ok \n", "2022-09-15 23:40:00+00:00 ok ok ok ok ok \n", "2022-09-15 23:45:00+00:00 ok ok ok ok ok \n", "2022-09-15 23:50:00+00:00 ok ok ok ok ok \n", "2022-09-15 23:55:00+00:00 ok ok ok ok ok \n", "\n", " \n", "name vlinder26 vlinder27 vlinder28 \n", "datetime \n", "2022-09-01 00:00:00+00:00 ok ok ok \n", "2022-09-01 00:05:00+00:00 ok ok ok \n", "2022-09-01 00:10:00+00:00 ok ok ok \n", "2022-09-01 00:15:00+00:00 ok ok ok \n", "2022-09-01 00:20:00+00:00 ok ok ok \n", "... ... ... ... \n", "2022-09-15 23:35:00+00:00 ok ok ok \n", "2022-09-15 23:40:00+00:00 ok ok ok \n", "2022-09-15 23:45:00+00:00 ok ok ok \n", "2022-09-15 23:50:00+00:00 ok ok ok \n", "2022-09-15 23:55:00+00:00 ok ok ok \n", "\n", "[4320 rows x 56 columns]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#If we assume that all the temperature observations over all the stations have the same\n", "#set of timestamps (typical after resampling! ), we can create a dataframe with all stations represented by columns.\n", "\n", "temperatures_wide = (dataset.df\n", " #first subset to temperatures\n", " .xs(key='temp', \n", " level='obstype', #the level of the index ('datetime', 'name' or 'obstype')\n", " drop_level=True)\n", " #Convert a index level to columns (unstacking)\n", " .unstack(level='name'))\n", "temperatures_wide\n", " " ] }, { "cell_type": "code", "execution_count": 20, "id": "36", "metadata": { "execution": { "iopub.execute_input": "2025-05-14T11:44:57.062870Z", "iopub.status.busy": "2025-05-14T11:44:57.062501Z", "iopub.status.idle": "2025-05-14T11:44:57.089993Z", "shell.execute_reply": "2025-05-14T11:44:57.088608Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "datetime", "rawType": "datetime64[ns, UTC]", "type": "unknown" }, { "name": "vlinder01", "rawType": "float32", "type": "float" }, { "name": "vlinder02", "rawType": "float32", "type": "float" }, { "name": "vlinder03", "rawType": "float32", "type": "float" }, { "name": "vlinder04", "rawType": "float32", "type": "float" }, { "name": "vlinder05", "rawType": "float32", "type": "float" }, { "name": "vlinder06", "rawType": "float32", 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columns]" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#if you are only interested in the value, you can select them:\n", "temperatures_wide['value']" ] }, { "cell_type": "markdown", "id": "37", "metadata": {}, "source": [ "### Quality control\n", "\n", "For more details, refer to the [Quality Control Example Notebook](qc_example.ipynb)." ] }, { "cell_type": "markdown", "id": "38", "metadata": {}, "source": [ "### Extracting data from Google Earth Engine\n", "\n", "For an introduction to extracting data for GEE, we refer to the [Using Google Earth Engine demo](gee_example.ipynb)." ] }, { "cell_type": "markdown", "id": "39", "metadata": {}, "source": [ "### Filling gaps\n", "\n", "For an introduction to filling gaps, we refer to the [Filling gaps demo](filling_example.ipynb)." ] }, { "cell_type": "markdown", "id": "40", "metadata": {}, "source": [ "### Analysis \n", "\n", "For an introduction to analyzing your dataset, we refer to the [Analysis demo](analysis_example.ipynb)." ] }, { "cell_type": "markdown", "id": "8b77b327", "metadata": {}, "source": [] } ], "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" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "8fb40a40e20140e89e212fd6d46794c7": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, 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