ColorError¶

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

Bases: VectorAction

Calculate the error in a color from two different flux error columns.

Attributes Summary

`flux_err1`	Action providing error for first flux (`VectorAction`, default `<class 'lsst.analysis.tools.interfaces._actions.VectorAction'>`)
`flux_err2`	Action providing error for second flux (`VectorAction`, default `<class 'lsst.analysis.tools.interfaces._actions.VectorAction'>`)
`returnMillimags`	Whether to return color_err in millimags (mags if not) (`bool`, default `True`)

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

flux_err1¶: Action providing error for first flux (VectorAction, default <class 'lsst.analysis.tools.interfaces._actions.VectorAction'>)

flux_err2¶: Action providing error for second flux (VectorAction, default <class 'lsst.analysis.tools.interfaces._actions.VectorAction'>)

returnMillimags¶: Whether to return color_err in millimags (mags if not) (bool, default True)

Methods Documentation

__call__(data: MutableMapping[str, ndarray[Any, dtype[_ScalarType_co]] | Scalar | HealSparseMap | Tensor | Mapping], **kwargs) → ndarray[Any, dtype[_ScalarType_co]]¶: Call self as a function.

getInputSchema() → 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.