DivideScalar#
- class lsst.analysis.tools.actions.scalar.DivideScalar(*args, **kw)#
Bases:
ScalarActionCalculate (A/B) for scalars.
Attributes Summary
Action which supplies scalar A (
ScalarAction, default<class 'lsst.analysis.tools.interfaces._actions.ScalarAction'>)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.
Return the schema an
AnalysisActionexpects 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#
data :
KeyedDataReturns#
- result
Scalar The result of dividing A by B.
- result
- getInputSchema() Iterable[tuple[str, type[ndarray[tuple[Any, ...], dtype[_ScalarT]]] | type[Scalar] | type[HealSparseMap] | type[Tensor] | type[Mapping]]]#
Return the schema an
AnalysisActionexpects to be present in the arguments supplied to the __call__ method.Returns#
- result
KeyedDataSchema The schema this action requires to be present when calling this action, keys are unformatted.
- result