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6.3.7.9. supy.util.AttributionResult

class supy.util.AttributionResult(variable: str, contributions: ~pandas.DataFrame, summary: ~pandas.DataFrame, metadata: dict = <factory>)

Container for attribution analysis results.

variable

Name of attributed variable (‘T2’, ‘q2’, or ‘U10’)

Type:

str

contributions

Timeseries of contributions from each component

Type:

pd.DataFrame

summary

Summary statistics (mean, std, min, max) for each component

Type:

pd.DataFrame

metadata

Additional context (period, scenarios, parameters)

Type:

dict

__init__(variable: str, contributions: ~pandas.DataFrame, summary: ~pandas.DataFrame, metadata: dict = <factory>) → None

Methods

__init__(variable, contributions, summary[, ...])
plot([kind, ax, components])	Visualise attribution results.
to_dataframe()	Return contributions as a DataFrame.

Attributes

variable
contributions
summary
metadata