PerTractPropertyMapPlot

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

Bases: PlotAction

Attributes Summary

plotName

The name for the plotting task.

Methods Summary

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

Attributes Documentation

plotName

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

Methods Documentation

__call__(data: MutableMapping[str, ndarray[tuple[int, ...], dtype[_ScalarType_co]] | Scalar | HealSparseMap | Tensor | Mapping], tractInfo: ExplicitTractInfo, plotConfig: PerTractPropertyMapAnalysisConfig, 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[int, ...], dtype[_ScalarType_co]] | Scalar | HealSparseMap | Tensor | Mapping], tractInfo: ExplicitTractInfo, plotConfig: PerTractPropertyMapAnalysisConfig, plotInfo: Mapping[str, Mapping[str, str] | str | int]) → Mapping[str, Figure]

Make the survey property map plot.

Parameters:

dataKeyedData

The HealSparseMap to plot the points from.

tractInfo: `~lsst.skymap.tractInfo.ExplicitTractInfo`

The tract info object.

plotConfig

PerTractPropertyMapAnalysisConfig The configuration for the plot.

plotInfodict

A dictionary of information about the data being plotted.

Returns:

figFigure

The resulting figure.

static prettyPrintFloat(n)