ThresholdSelector

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

Bases: VectorAction

Return a mask corresponding to an applied threshold.

Attributes Summary

op	Operator name.
threshold	Threshold to apply.
vectorKey	Name of column (str)

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

op

Operator name. (str)

threshold

Threshold to apply. (float)

vectorKey

Name of column (str)

Methods Documentation

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

Call self as a function.

getInputSchema() → Tensor]]]

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.