metobs_toolkit.Dataset

class Dataset

Extension on the metobs_toolkit.Dataset class with QC related methods

__init__()

Construct all the necessary attributes for Dataset object.

Methods

__init__()	Construct all the necessary attributes for Dataset object.
add_new_observationtype(Obstype)	Add a new observation type to the known observation types.
add_new_unit(obstype, new_unit[, ...])	Add a new unit to a known observation type.
apply_buddy_check([obstype, ...])	Apply the buddy check on the observations.
apply_quality_control([obstype, ...])	Apply quality control methods to the dataset.
apply_titan_buddy_check([obstype, ...])	Apply the TITAN buddy check on the observations.
apply_titan_sct_resistant_check([obstype])	Apply the TITAN spatial consistency test (resistant).
coarsen_time_resolution([origin, origin_tz, ...])	Resample the observations to coarser timeresolution.
combine_all_to_obsspace([repr_outl_as_nan, ...])	Make one dataframe with all observations and their labels.
fill_gaps_automatic(modeldata[, obstype, ...])	Fill the gaps by using linear interpolation or debiased modeldata.
fill_gaps_era5(modeldata[, method, obstype, ...])	Fill the gaps using a diurnal debiased modeldata approach.
fill_gaps_linear([obstype, overwrite_fill])	Fill the gaps using linear interpolation.
fill_missing_obs_linear([obstype])	Interpolate missing observations.
get_altitude()	Extract Altitudes for all stations.
get_analysis([add_gapfilled_values])	Create an Analysis instance from the Dataframe.
get_gaps_df()	List all gaps into an overview dataframe.
get_gaps_info()	Print out detailed information of the gaps.
get_info([show_all_settings, max_disp_n_gaps])	Alias of show().
get_landcover([buffers, aggregate, ...])	Extract landcover for all stations.
get_lcz()	Extract local climate zones for all stations.
get_missing_obs_info()	Print out detailed information of the missing observations.
get_modeldata([modelname, modeldata, ...])	Make Modeldata for the Dataset.
get_qc_stats([obstype, stationname, make_plot])	Get quality control statistics.
get_station(stationname)	Filter out one station of the Dataset.
import_data_from_file([input_data_file, ...])	Read observations from a csv file.
import_dataset([folder_path, filename])	Import a Dataset instance from a (pickle) file.
make_gee_plot(gee_map[, show_stations, ...])	Make an interactive plot of a google earth dataset.
make_geo_plot([variable, title, ...])	Make geospatial plot.
make_interactive_plot([obstype, save, ...])	Make interactive geospatial plot with time evolution.
make_plot([stationnames, obstype, colorby, ...])	This function creates a timeseries plot for the dataset.
save_dataset([outputfolder, filename, overwrite])	Save a Dataset instance to a (pickle) file.
show([show_all_settings, max_disp_n_gaps])	Show detailed information of the Dataset.
show_settings()	Show detailed information of the stored Settings.
sync_observations(tolerance[, verbose, ...])	Simplify and syncronize the observation timestamps.
update_default_name(default_name)	Update the default name (the name of the station).
update_gap_and_missing_fill_settings([...])	Update fill settings for gaps and missing observations.
update_gaps_and_missing_from_outliers([...])	Interpret the outliers as missing observations.
update_outliersdf(add_to_outliersdf)	Update the outliersdf attribute.
update_qc_settings([obstype, ...])	Update the QC settings for the specified observation type.
update_settings([output_folder, ...])	Update the most common input-output (IO) settings.
update_timezone(timezonestr)	Change the timezone of the input data.
update_titan_qc_settings([obstype, ...])	Update the TITAN QC settings for the specified observation type.
write_to_csv([obstype, filename, ...])	Write Dataset to a csv file.