Data Processing Modules

powerplantmatching.data Module

Collection of power plant data bases and statistical data

Functions

BEYONDCOAL([raw, update, config])	Importer for the BEYOND COAL database.
BNETZA([raw, update, config, header, ...])	Importer for the database put together by Germany's 'Federal Network Agency' (dt.
CARMA([raw, update, config])	Importer for the Carma database.
Capacity_stats([raw, config, update, ...])	Standardize the aggregated capacity statistics provided by the ENTSO-E.
ENTSOE([raw, update, config, entsoe_token])	Importer for the list of installed generators provided by the ENTSO-E Transparency Project.
ENTSOE_EIC([raw, update, config, entsoe_token])	Importer for the meta data given for each ENTSOE entry.
EXTERNAL_DATABASE([raw, update, config])	Importer for external custom databases. :param raw: Whether to return the original dataset :type raw: boolean, default False :param update: Whether to update the data from the url. :type update: bool, default True (unused) :param config: Add custom specific configuration, e.g. powerplantmatching.config.get_config(target_countries='Italy'), defaults to powerplantmatching.config.get_config() :type config: dict, default None.
GBPT([raw, update, config])	Importer for the global bioenergy powerplant tracker from global energy monitor.
GCPT([raw, update, config])	Importer for the global coal powerplant tracker from global energy monitor.
GEM([raw, update, config])	Get the combined dataset of all GEM (https://globalenergymonitor.org/) datasets.
GEM_GGPT(*args, **kwargs)
GEO([raw, update, config])	Importer for the GEO database.
GGPT([raw, update, config])	Importer for the global gas powerplant tracker from global energy monitor.
GGTPT([raw, update, config])	Importer for the global geothermal powerplant tracker from global energy monitor.
GHPT([raw, update, config])	Importer for the global gas powerplant tracker from global energy monitor.
GNPT([raw, update, config])	Importer for the global nuclear energy powerplant tracker from global energy monitor.
GPD([raw, update, config, filter_other_dbs])	Importer for the Global Power Plant Database.
GSPT([raw, update, config])	Importer for the global solar powerplant tracker from global energy monitor.
GWPT([raw, update, config])	Importer for the global wind powerplant tracker from global energy monitor.
IRENASTAT([raw, update, config])	Importer for the IRENASTAT renewable capacity statistics.
IWPDCY([config])	This data is not yet available.
JRC([raw, update, config])	Importer for the JRC Hydro-power plants database retrieves from energy-modelling-toolkit/hydro-power-database.
OPSD([raw, update, statusDE, config])	Importer for the OPSD (Open Power Systems Data) database.
OPSD_VRE([raw, update, config])	Importer for the OPSD (Open Power Systems Data) renewables (VRE) database.
OPSD_VRE_country(country[, raw, update, config])	Get country specific data from OPSD for renewables, if available.
UBA([raw, update, config, header, ...])	Importer for the UBA Database.
WEPP([raw, config])	Importer for the standardized WEPP (Platts, World Elecrtric Power Plants Database).
WIKIPEDIA([raw, update, config])	Importer for the WIKIPEDIA nuclear power plant database.
cget(*args, **kw)
clean_name(df[, config])	Clean the name of a power plant list.
config_filter(df, config)	Convenience function to filter data source according to the config.yaml file.
convert_to_short_name(df)
correct_manually(df, name[, config])	Update powerplant data based on stored corrections in powerplantmatching/data/in/manual_corrections.csv.
deprecated([deprecated_in, removed_in, ...])	Decorate a function to signify its deprecation
gather_fueltype_info(df[, search_col, config])	Parses in a set of columns for distinct fueltype specifications.
gather_set_info(df[, search_col, config])	Parses in a set of columns for distinct Set specifications.
gather_specifications(df[, target_columns, ...])	Parse columns to collect representative keys.
gather_technology_info(df[, search_col, config])	Parses in a set of columns for distinct technology specifications.
get_config([filename])	Import the default configuration file and update custom settings.
get_raw_file(name[, update, config, ...])
scale_to_net_capacities(df[, is_gross, ...])
set_column_name(df, name)	Helper function to associate dataframe with a name.

powerplantmatching.cleaning Module

Functions for vertically cleaning a dataset.

Functions

aggregate_units(df[, dataset_name, ...])	Vertical cleaning of the database.
clean_name(df[, config])	Clean the name of a power plant list.
clean_powerplantname(df[, config])
clean_technology(df[, generalize_hydros])	Clean the 'Technology' by condensing down the value into one claim.
cliques(df, dataduplicates)	Locate cliques of units which are determined to belong to the same powerplant.
config_target_key(column)	Convert a column name to the key that is used to specify the target values in the config.
deprecated([deprecated_in, removed_in, ...])	Decorate a function to signify its deprecation
duke(datasets[, labels, singlematch, ...])	Run duke in different modes (Deduplication or Record Linkage Mode) to either locate duplicates in one database or find the similar entries in two different datasets.
gather_and_replace(df, mapping)	Search for patterns in multiple columns and return a series of represantativ keys.
gather_fueltype_info(df[, search_col, config])	Parses in a set of columns for distinct fueltype specifications.
gather_set_info(df[, search_col, config])	Parses in a set of columns for distinct Set specifications.
gather_specifications(df[, target_columns, ...])	Parse columns to collect representative keys.
gather_technology_info(df[, search_col, config])	Parses in a set of columns for distinct technology specifications.
get_config([filename])	Import the default configuration file and update custom settings.
get_name(df)	Helper function to associate dataframe with a name.
get_obj_if_Acc(obj)
mode(x)	Get the most common value of a series.
set_column_name(df, name)	Helper function to associate dataframe with a name.

powerplantmatching.matching Module

Functions for linking and combining different datasets

Functions

best_matches(links)	Subsequent to duke() with singlematch=True.
clean_technology(df[, generalize_hydros])	Clean the 'Technology' by condensing down the value into one claim.
combine_multiple_datasets(datasets[, ...])	Duke-based horizontal match of multiple databases.
compare_two_datasets(dfs, labels[, ...])	Duke-based horizontal match of two databases.
cross_matches(sets_of_pairs[, labels])	Combines multiple sets of pairs and returns one consistent dataframe.
duke(datasets[, labels, singlematch, ...])	Run duke in different modes (Deduplication or Record Linkage Mode) to either locate duplicates in one database or find the similar entries in two different datasets.
get_config([filename])	Import the default configuration file and update custom settings.
get_name(df)	Helper function to associate dataframe with a name.
get_obj_if_Acc(obj)
link_multiple_datasets(datasets, labels[, ...])	Duke-based horizontal match of multiple databases.
parmap(f, arg_list[, config])	Parallel mapping function.
read_csv_if_string(df)	Convenience function to import powerplant data source if a string is given.
reduce_matched_dataframe(df[, ...])	Reduce a matched dataframe to a unique set of columns.

powerplantmatching.collection Module

Processed datasets of merged and/or adjusted data

Functions

aggregate_units(df[, dataset_name, ...])	Vertical cleaning of the database.
collect(datasets[, update, reduced, config])	Return the collection for a given list of datasets in matched or reduced form.
combine_multiple_datasets(datasets[, ...])	Duke-based horizontal match of multiple databases.
deprecated([deprecated_in, removed_in, ...])	Decorate a function to signify its deprecation
extend_by_VRE(df[, config, base_year, ...])	Extends a given reduced dataframe by externally given VREs.
extend_by_non_matched(df, extend_by[, ...])	Returns the matched dataframe with additional entries of non-matched powerplants of a reliable source.
get_config([filename])	Import the default configuration file and update custom settings.
matched_data([config, update, from_url, ...])
parmap(f, arg_list[, config])	Parallel mapping function.
parse_string_to_dict(df, cols)	Convenience function to convert string of dict to dict type for specified columns.
powerplants([config, config_update, update, ...])	Return the full matched dataset including all data sources listed in config.yaml/matching_sources.
reduce_matched_dataframe(df[, ...])	Reduce a matched dataframe to a unique set of columns.
set_column_name(df, name)	Helper function to associate dataframe with a name.
to_dict_if_string(s)	Convenience function to ensure dict-like output