InterpolateDetectorMetricPlot

class lsst.analysis.tools.actions.plot.InterpolateDetectorMetricPlot(*args, **kw)

Bases: PlotAction

Interpolate metrics evaluated at locations across a detector.

Attributes Summary

gridMargin	Grid margins for the field to interpolate (int, default 20)
nGridPoints	N points in the grid for the field to interpolate (int, default 40)
xAxisLabel	Label to use for the x axis.
xCoordSize	Dimensions for X direction field to interpolate (int, default 4000)
yAxisLabel	Label to use for the y axis.
yCoordSize	Dimensions for Y direction field to interpolate (int, default 4072)
zAxisLabel	Label to use for the z axis.

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.
makePlot(data[, plotInfo])

Attributes Documentation

gridMargin

Grid margins for the field to interpolate (int, default 20)

nGridPoints

N points in the grid for the field to interpolate (int, default 40)

xAxisLabel

Label to use for the x axis. (str, default 'x (pixel)')

xCoordSize

Dimensions for X direction field to interpolate (int, default 4000)

yAxisLabel

Label to use for the y axis. (str, default 'y (pixel)')

yCoordSize

Dimensions for Y direction field to interpolate (int, default 4072)

zAxisLabel

Label to use for the z axis. (str, default None)

Methods Documentation

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

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.

makePlot(data: MutableMapping[str, ndarray[Any, dtype[ScalarType]] | Scalar | HealSparseMap | Tensor], plotInfo: Mapping[str, str] | None = None, **kwargs) → Figure