SurveyWidePropertyMapPlot

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

Bases: PlotAction

Attributes Summary

plotName

The name for the plotting task.

Methods Summary

__call__(data, plotConfig, plotInfo, **kwargs)	Call self as a function.
addPlotInfo(fig, plotInfo, toolName)	Add useful information to the plot.
makePlot(data, plotConfig, plotInfo)	Make the survey property map plot.

Attributes Documentation

plotName

The name for the plotting task. (str, default None)

Methods Documentation

__call__(data: MutableMapping[str, ndarray[tuple[Any, ...], dtype[_ScalarT]] | Scalar | HealSparseMap | Tensor | Mapping], plotConfig: SurveyWidePropertyMapAnalysisConfig, plotInfo: Mapping[str, Mapping[str, str] | str | int], **kwargs) → Mapping[str, Figure]

Call self as a function.

addPlotInfo(fig: Figure, plotInfo: Mapping[str, Mapping[str, str] | str | int], toolName: str) → Figure

Add useful information to the plot.

Parameters

figmatplotlib.figure.Figure

The figure to add the information to.

plotInfodict

A dictionary of the plot information.

toolNamestr

The name of the tool used to generate the plot.

Returns

figmatplotlib.figure.Figure

The figure with the information added.

makePlot(data: MutableMapping[str, ndarray[tuple[Any, ...], dtype[_ScalarT]] | Scalar | HealSparseMap | Tensor | Mapping], plotConfig: SurveyWidePropertyMapAnalysisConfig, plotInfo: Mapping[str, Mapping[str, str] | str | int]) → Figure

Make the survey property map plot.

Parameters

dataKeyedData

The HealSparseMap to plot the points from.

plotConfig :

SurveyWidePropertyMapAnalysisConfig The configuration for the plot.

plotInfodict

A dictionary of information about the data being plotted.

Returns

figFigure

The resulting figure.