DivideScalar

class lsst.analysis.tools.actions.scalar.DivideScalar(*args, **kw)

Bases: ScalarAction

Calculate (A/B) for scalars.

Attributes Summary

actionA	Action which supplies scalar A (ScalarAction, default <class 'lsst.analysis.tools.interfaces._actions.ScalarAction'>)
actionB	Action which supplies scalar B (ScalarAction, default <class 'lsst.analysis.tools.interfaces._actions.ScalarAction'>)

Methods Summary

__call__(data, **kwargs)	Return the result of A/B.
getInputSchema()	Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.

Attributes Documentation

actionA

Action which supplies scalar A (ScalarAction, default <class 'lsst.analysis.tools.interfaces._actions.ScalarAction'>)

actionB

Action which supplies scalar B (ScalarAction, default <class 'lsst.analysis.tools.interfaces._actions.ScalarAction'>)

Methods Documentation

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

Return the result of A/B.

Parameters:

dataKeyedData

Returns:

resultScalar

The result of dividing A by B.

getInputSchema() → Iterable[tuple[str, type[numpy.ndarray[tuple[Any, ...], numpy.dtype[_ScalarT]]] | type[lsst.analysis.tools.interfaces._interfaces.Scalar] | type[healsparse.healSparseMap.HealSparseMap] | type[lsst.analysis.tools.interfaces._interfaces.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.