ResidualWithPerGroupStatistic

class lsst.analysis.tools.actions.vector.ResidualWithPerGroupStatistic(*args, **kw)

Bases: VectorAction

Compute residual between individual elements of group and the per-group statistic.

Attributes Summary

buildAction	Action to build vector (ConfigurableAction, default <class 'lsst.analysis.tools.actions.vector.vectorActions.LoadVector'>)
func	Name of function to be applied per group (str, default 'mean')
groupKey	Column key to use for forming groups (str, default 'isolated_star_id')

Methods Summary

__call__(data, **kwargs)	Call self as a function.
getInputSchema()	Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.

Attributes Documentation

buildAction

Action to build vector (ConfigurableAction, default <class 'lsst.analysis.tools.actions.vector.vectorActions.LoadVector'>)

func

Name of function to be applied per group (str, default 'mean')

groupKey

Column key to use for forming groups (str, default 'isolated_star_id')

Methods Documentation

__call__(data: MutableMapping[str, ndarray[tuple[Any, ...], dtype[_ScalarT]] | Scalar | HealSparseMap | Tensor | Mapping], **kwargs) → ndarray[tuple[Any, ...], dtype[_ScalarT]]

Call self as a function.

getInputSchema() → Iterable[tuple[str, type[ndarray[tuple[Any, ...], dtype[_ScalarT]]] | type[Scalar] | type[HealSparseMap] | type[Tensor] | type[Mapping]]]

Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.

Returns

resultKeyedDataSchema

The schema this action requires to be present when calling this action, keys are unformatted.