CoaddDepthSummaryPlotTask

class lsst.analysis.tools.tasks.CoaddDepthSummaryPlotTask(*, config: PipelineTaskConfig | None = None, log: logging.Logger | LsstLogAdapter | None = None, initInputs: dict[str, Any] | None = None, **kwargs: Any)

Bases: AnalysisPipelineTask

Methods Summary

run(*[, data])	Use n_images to make a plot illustrating coadd depth.
runQuantum(butlerQC, inputRefs, outputRefs)	Override default runQuantum to load the minimal columns necessary to complete the action.

Methods Documentation

run(*, data: MutableMapping[str, ndarray[tuple[Any, ...], dtype[_ScalarT]] | Scalar | HealSparseMap | Tensor | Mapping] | None = None, **kwargs) → Struct

Use n_images to make a plot illustrating coadd depth.

runQuantum(butlerQC, inputRefs, outputRefs)

Override default runQuantum to load the minimal columns necessary to complete the action.

Parameters

butlerQCQuantumContext

A butler which is specialized to operate in the context of a lsst.daf.butler.Quantum.

inputRefsInputQuantizedConnection

Datastructure whose attribute names are the names that identify connections defined in corresponding PipelineTaskConnections class. The values of these attributes are the lsst.daf.butler.DatasetRef objects associated with the defined input/prerequisite connections.

outputRefsOutputQuantizedConnection

Datastructure whose attribute names are the names that identify connections defined in corresponding PipelineTaskConnections class. The values of these attributes are the lsst.daf.butler.DatasetRef objects associated with the defined output connections.