FocalPlanePlot

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

Bases: PlotAction

Plots the focal plane distribution of a parameter.

Given the detector positions in x and y, the focal plane positions are calculated using the camera model. A 2d binned statistic (default is mean) is then calculated and plotted for the parameter z as a function of the focal plane coordinates.

Attributes Summary

doUseAdaptiveBinning	If set to True, the number of bins is adapted to the source density, with lower densities using fewer bins.
nBins	Number of bins to use within the effective plot ranges along the spatial directions.
statistic	Operation to perform in binned_statistic_2d (str, default 'mean')
xAxisLabel	Label to use for the x axis.
yAxisLabel	Label to use for the y axis.
zAxisLabel	Label to use for the z axis.

Methods Summary

__call__(data, **kwargs)	Call self as a function.
getInputSchema(**kwargs)	Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.
makePlot(data, camera[, plotInfo])	Prep the catalogue and then make a focalPlanePlot of the given column.
statsAndText(arr[, mask])	Calculate some stats from an array and return them and some text.

Attributes Documentation

doUseAdaptiveBinning

If set to True, the number of bins is adapted to the source density, with lower densities using fewer bins. Under these circumstances the nBins parameter sets the minimum number of bins. (bool, default False)

nBins

Number of bins to use within the effective plot ranges along the spatial directions. (int, default 200)

statistic

Operation to perform in binned_statistic_2d (str, default 'mean')

xAxisLabel

Label to use for the x axis. (str)

yAxisLabel

Label to use for the y axis. (str)

zAxisLabel

Label to use for the z axis. (str)

Methods Documentation

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

Call self as a function.

getInputSchema(**kwargs) → 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], camera: Camera, plotInfo: Mapping[str, str] | None = None, **kwargs) → Figure

Prep the catalogue and then make a focalPlanePlot of the given column.

Uses the axisLabels config options x and y to make an image, where the color corresponds to the 2d binned statistic (the mean is the default) applied to the z column. A summary panel is shown in the upper right corner of the resultant plot. The code uses the selectorActions to decide which points to plot and the statisticSelector actions to determine which points to use for the printed statistics.

Parameters:

datapandas.core.frame.DataFrame

The catalog to plot the points from.

cameralsst.afw.cameraGeom.Camera

The camera used to map from pixel to focal plane positions.

plotInfodict

A dictionary of information about the data being plotted with keys:

"run"

The output run for the plots (str).

"skymap"

The type of skymap used for the data (str).

"filter"

The filter used for this data (str).

"tract"

The tract that the data comes from (str).

"bands"

The band(s) that the data comes from (list of str).

Returns:

figmatplotlib.figure.Figure

The resulting figure.

statsAndText(arr, mask=None)

Calculate some stats from an array and return them and some text.