RegionProcessor

class nomenclature.RegionProcessor(*, region_codelist, variable_codelist, mappings)

Region aggregation mappings for scenario processing

Methods

apply(df)	Apply region processing
check_region_aggregation(df[, rtol_difference])	Return region aggregation results and differences between aggregated and model native data
from_directory(path, dsd)	Initialize a RegionProcessor from a directory of model-aggregation mappings.

apply(df)

Apply region processing

Parameters:

dfIamDataFrame

Input data that the region processing is applied to

Returns:

IamDataFrame:

Processed data

Raises:

ValueError

• If df contains regions that are not listed in the model mapping, or

• If the region-processing results in an empty IamDataFrame.

check_region_aggregation(df, rtol_difference=0.01)

Return region aggregation results and differences between aggregated and model native data

Parameters:

dfIamDataFrame

Input data

rtol_differencefloat, optional

limit on the relative tolerance for differences, by default 0.01

Returns:

tuple[IamDataFrame, pd.DataFrame]

IamDataFrame containing aggregation results and pandas dataframe containing the differences

classmethod from_directory(path, dsd)

Initialize a RegionProcessor from a directory of model-aggregation mappings.

Parameters:

pathDirectoryPath

Directory which holds all the mappings.

dsdDataStructureDefinition

Instance of DataStructureDefinition used for validation of mappings and region aggregation.

Returns:

RegionProcessor

The resulting region processor object.

Raises:

ValueError

Raised in case there are multiple mappings defined for the same model or there is an issue with region the RegionAggregationMapping

AttributeError

Raised if the provided DataStructureDefinition does not contain the dimensions region and variable.