lsst.analysis.tools¶

The Analysis Tools package is designed to assist in the creation of quality assurance (QA) plots and metrics from the outputs of a data reduction pipeline. The intention is that users have the flexibility to construct complex data analysis tasks from a set of simple building blocks. In this sense, a series of consistent, repeatable and high-quality plots and metrics can be generated for any given dataset.

Using Analysis Tools¶

For a tutorial on working with analysis_tools please see the getting started guide.

Need Help?¶

The first place to check for more information is the FAQs page which contains some helpful hints. More will be added to this page over time; if you find something that you think should be added here then please do!

Project members and in-kind contributors may ask for further help via the #rubinobs-analysis-tools channel on the LSSTC Slack workspace. All users of the analysis tools package, including community members, are also welcome to post any questions you might have on the Community Forum.

Contributing¶

The lsst.analysis.tools package is developed at github.com/lsst/analysis_tools.

Jira issues relating to this package can be found using the analysis_tools component.

Script reference¶

Python API Reference¶

lsst.analysis.tools Package¶

This package contains various analysis tools and the PipelineTasks which run them.

The primary tool in this package is the AnalysisTool class. An AnalysisTool class has three stages: prep, process, and produce. Creating a new AnalysisTool involves choosing (through configuration) one or more AnalysisAction classes to run for each of those stages.

Both AnalysisTool and AnalysisAction are subclasses of the ConfigurableAction class. These objects are special types that are configured prior to any code execution, and behave as functions at runtime. The configuration state of a ConfigurableAction is saved separately from the object itself.

Functions¶

`divide`(dividend, divisor)	Return dividend/divisor.
`fluxToMag`(flux[, flux_unit, return_millimags])	Convert fluxes to magnitudes.
`nanMax`(vector)	Return the max of a vector.
`nanMean`(vector)	Return the mean of a vector.
`nanMedian`(vector)	Return the median of a vector.
`nanMin`(vector)	Return the max of a vector.
`nanSigmaMad`(vector)	Return the sigma_MAD of a vector.
`nanStd`(vector)
`sigmaMad`(vector)
`sqrt`(values)	Return the sqrt of values.

Variables¶

`filterwarnings_action`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_all_nan`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_all_nan_slice`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_divide_zero_divide`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_divide_zero_log`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_divide_zero_log10`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_dof_zero`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_invalid_value_divide`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_invalid_value_log`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_invalid_value_log10`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_invalid_value_sqrt`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`numpy_mean_empty`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str

lsst.analysis.tools.actions.plot Package¶

Classes¶

`BarPanel`(args, *kw)	A configurable class describing a panel in a bar plot.
`BarPlot`(args, *kw)	A plotting tool which can take multiple keyed data inputs and can create one or more bar graphs.
`ColorColorFitPlot`(args, *kw)	Make a color-color plot and overplot a prefited line to the fit region.
`DiaSkyPanel`(args, *kw)	Configuration options for DiaSkyPlot panels.
`DiaSkyPlot`(args, *kw)	Generic pseudo base class for plotting DiaSources (or DiaObjects) on the sky.
`FocalPlaneGeometryPlot`(args, *kw)	Plots the focal plane distribution of a parameter in afw camera geometry units: amplifiers and detectors.
`FocalPlanePlot`(args, *kw)	Plots the focal plane distribution of a parameter.
`GridPanelConfig`(args, *kw)
`GridPlot`(args, *kw)	Plot a series of plot elements onto a regularly spaced grid.
`HistPanel`(args, *kw)	A Config class that holds parameters to configure a single panel of a histogram plot.
`HistPlot`(args, *kw)	Make an N-panel plot with a configurable number of histograms displayed in each panel.
`HistStatsPanel`(args, *kw)	A Config class that holds parameters to configure a the stats panel shown for histPlot.
`InterpolateDetectorMetricPlot`(args, *kw)	Interpolate metrics evaluated at locations across a detector.
`MatrixPlot`(args, *kw)	Make the plot of a matrix (2D array).
`Med2Mad`(args, *kw)	Return the median +/- 2*nansigmamad values of an input vector to use as the minimum and maximum values of a colorbar range.
`MinMax`(args, *kw)	Return the maximum and minimum values of an input vector to use as the minimum and maximum values of a colorbar range.
`MultiVisitCoveragePlot`(args, *kw)	Plot the coverage for a set of visits.
`PropertyMapPlot`(args, *kw)
`RhoStatisticsPlot`(args, *kw)	Make multiple plots of rho statistics.
`ScatterPlotStatsAction`(args, *kw)	Calculates the statistics needed for the scatter plot with two hists.
`ScatterPlotWithTwoHists`(args, *kw)	Makes a scatter plot of the data with a marginal histogram for each axis.
`SkyPlot`(args, *kw)	Plots the on sky distribution of a parameter.
`XYPlot`(args, *kw)	Make a plot (with errorbars) of one quantity (X) vs another (Y).

Class Inheritance Diagram¶

digraph inheritance1e8ace217e { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "AnalysisAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Base class interface for the various actions used in analysis tools."]; "ConfigurableAction" -> "AnalysisAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "BarPanel" [URL="../../../py-api/lsst.analysis.tools.actions.plot.BarPanel.html#lsst.analysis.tools.actions.plot.BarPanel",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A configurable class describing a panel in a bar plot."]; "Config" -> "BarPanel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "BarPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.BarPlot.html#lsst.analysis.tools.actions.plot.BarPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A plotting tool which can take multiple keyed data inputs"]; "PlotAction" -> "BarPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ColorColorFitPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.ColorColorFitPlot.html#lsst.analysis.tools.actions.plot.ColorColorFitPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Make a color-color plot and overplot a prefited line to the fit region."]; "PlotAction" -> "ColorColorFitPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Config" [URL="../../../py-api/lsst.pex.config.Config.html#lsst.pex.config.Config",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Base class for configuration (*config*) objects."]; "ConfigurableAction" [URL="../../../py-api/lsst.pex.config.configurableActions.ConfigurableAction.html#lsst.pex.config.configurableActions.ConfigurableAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A `ConfigurableAction` is an interface that extends a"]; "Config" -> "ConfigurableAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiaSkyPanel" [URL="../../../py-api/lsst.analysis.tools.actions.plot.DiaSkyPanel.html#lsst.analysis.tools.actions.plot.DiaSkyPanel",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Configuration options for DiaSkyPlot panels."]; "PanelConfig" -> "DiaSkyPanel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiaSkyPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.DiaSkyPlot.html#lsst.analysis.tools.actions.plot.DiaSkyPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Generic pseudo base class for plotting DiaSources"]; "PlotAction" -> "DiaSkyPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "FocalPlaneGeometryPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.FocalPlaneGeometryPlot.html#lsst.analysis.tools.actions.plot.FocalPlaneGeometryPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Plots the focal plane distribution of a parameter in afw camera"]; "FocalPlanePlot" -> "FocalPlaneGeometryPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "FocalPlanePlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.FocalPlanePlot.html#lsst.analysis.tools.actions.plot.FocalPlanePlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Plots the focal plane distribution of a parameter."]; "PlotAction" -> "FocalPlanePlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GridPanelConfig" [URL="../../../py-api/lsst.analysis.tools.actions.plot.GridPanelConfig.html#lsst.analysis.tools.actions.plot.GridPanelConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "Config" -> "GridPanelConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GridPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.GridPlot.html#lsst.analysis.tools.actions.plot.GridPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Plot a series of plot elements onto a regularly spaced grid."]; "PlotAction" -> "GridPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "HistPanel" [URL="../../../py-api/lsst.analysis.tools.actions.plot.HistPanel.html#lsst.analysis.tools.actions.plot.HistPanel",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A Config class that holds parameters to configure a single panel of a"]; "Config" -> "HistPanel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "HistPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.HistPlot.html#lsst.analysis.tools.actions.plot.HistPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Make an N-panel plot with a configurable number of histograms displayed"]; "PlotAction" -> "HistPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "HistStatsPanel" [URL="../../../py-api/lsst.analysis.tools.actions.plot.HistStatsPanel.html#lsst.analysis.tools.actions.plot.HistStatsPanel",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A Config class that holds parameters to configure a the stats panel"]; "Config" -> "HistStatsPanel" [arrowsize=0.5,style="setlinewidth(0.5)"]; "InterpolateDetectorMetricPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.InterpolateDetectorMetricPlot.html#lsst.analysis.tools.actions.plot.InterpolateDetectorMetricPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Interpolate metrics evaluated at locations across a detector."]; "PlotAction" -> "InterpolateDetectorMetricPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "KeyedDataAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="A `KeyedDataAction` is an `AnalysisAction` that returns `KeyedData` when"]; "AnalysisAction" -> "KeyedDataAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MatrixPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.MatrixPlot.html#lsst.analysis.tools.actions.plot.MatrixPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Make the plot of a matrix (2D array)."]; "PlotAction" -> "MatrixPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Med2Mad" [URL="../../../py-api/lsst.analysis.tools.actions.plot.Med2Mad.html#lsst.analysis.tools.actions.plot.Med2Mad",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Return the median +/- 2*nansigmamad values of an input vector to use"]; "VectorAction" -> "Med2Mad" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MinMax" [URL="../../../py-api/lsst.analysis.tools.actions.plot.MinMax.html#lsst.analysis.tools.actions.plot.MinMax",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Return the maximum and minimum values of an input vector to use as the"]; "VectorAction" -> "MinMax" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MultiVisitCoveragePlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.MultiVisitCoveragePlot.html#lsst.analysis.tools.actions.plot.MultiVisitCoveragePlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Plot the coverage for a set of visits."]; "PlotAction" -> "MultiVisitCoveragePlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PanelConfig" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Configuration options for the plot panels used by DiaSkyPlot."]; "Config" -> "PanelConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PlotAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="A `PlotAction` is an `AnalysisAction` that returns a `PlotType` or"]; "AnalysisAction" -> "PlotAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PropertyMapPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.PropertyMapPlot.html#lsst.analysis.tools.actions.plot.PropertyMapPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "PlotAction" -> "PropertyMapPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RhoStatisticsPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.RhoStatisticsPlot.html#lsst.analysis.tools.actions.plot.RhoStatisticsPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Make multiple plots of rho statistics."]; "PlotAction" -> "RhoStatisticsPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ScatterPlotStatsAction" [URL="../../../py-api/lsst.analysis.tools.actions.plot.ScatterPlotStatsAction.html#lsst.analysis.tools.actions.plot.ScatterPlotStatsAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculates the statistics needed for the"]; "KeyedDataAction" -> "ScatterPlotStatsAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ScatterPlotWithTwoHists" [URL="../../../py-api/lsst.analysis.tools.actions.plot.ScatterPlotWithTwoHists.html#lsst.analysis.tools.actions.plot.ScatterPlotWithTwoHists",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Makes a scatter plot of the data with a marginal"]; "PlotAction" -> "ScatterPlotWithTwoHists" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SkyPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.SkyPlot.html#lsst.analysis.tools.actions.plot.SkyPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Plots the on sky distribution of a parameter."]; "PlotAction" -> "SkyPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VectorAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="A `VectorAction` is an `AnalysisAction` that returns a `Vector` when"]; "AnalysisAction" -> "VectorAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "XYPlot" [URL="../../../py-api/lsst.analysis.tools.actions.plot.XYPlot.html#lsst.analysis.tools.actions.plot.XYPlot",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Make a plot (with errorbars) of one quantity (X) vs another (Y)."]; "PlotAction" -> "XYPlot" [arrowsize=0.5,style="setlinewidth(0.5)"]; }

lsst.analysis.tools.actions.scalar Package¶

Classes¶

`ApproxFloor`(args, *kw)	Returns the median of the lowest ten values of the sorted input.
`CountAction`(args, *kw)	Performs count actions, with threshold-based filtering.
`CountUniqueAction`(args, *kw)	Counts the number of unique rows in a given column.
`DivideScalar`(args, *kw)	Calculate (A/B) for scalars.
`FracInRange`(args, *kw)	Compute the fraction of a distribution that is between specified minimum and maximum values, and is not NaN.
`FracNan`(args, *kw)	Compute the fraction of vector entries that are NaN.
`FracThreshold`(args, *kw)	Compute the fraction of a distribution above or below a threshold.
`IqrHistAction`(args, *kw)	Calculates the interquartile range of the given histogram data.
`MaxAction`(args, *kw)	Returns the maximum of the given data.
`MeanAction`(args, *kw)	Calculates the mean of the given data.
`MedianAction`(args, *kw)	Calculates the median of the given data.
`MedianHistAction`(args, *kw)	Calculates the median of the given histogram data.
`MinAction`(args, *kw)	Returns the minimum of the given data.
`SigmaMadAction`(args, *kw)	Calculates the sigma mad of the given data.
`StdevAction`(args, *kw)	Calculates the standard deviation of the given data.
`SumAction`(args, *kw)	Returns the sum of all values in the column.
`ValueAction`(args, *kw)	Extracts the first value from a vector.

Class Inheritance Diagram¶

digraph inheritance2e5657cfb6 { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "AnalysisAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Base class interface for the various actions used in analysis tools."]; "ConfigurableAction" -> "AnalysisAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ApproxFloor" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.ApproxFloor.html#lsst.analysis.tools.actions.scalar.ApproxFloor",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Returns the median of the lowest ten values of the sorted input."]; "ScalarFromVectorAction" -> "ApproxFloor" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Config" [URL="../../../py-api/lsst.pex.config.Config.html#lsst.pex.config.Config",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Base class for configuration (*config*) objects."]; "ConfigurableAction" [URL="../../../py-api/lsst.pex.config.configurableActions.ConfigurableAction.html#lsst.pex.config.configurableActions.ConfigurableAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A `ConfigurableAction` is an interface that extends a"]; "Config" -> "ConfigurableAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CountAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.CountAction.html#lsst.analysis.tools.actions.scalar.CountAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Performs count actions, with threshold-based filtering."]; "ScalarAction" -> "CountAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CountUniqueAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.CountUniqueAction.html#lsst.analysis.tools.actions.scalar.CountUniqueAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Counts the number of unique rows in a given column."]; "ScalarFromVectorAction" -> "CountUniqueAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DivideScalar" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.DivideScalar.html#lsst.analysis.tools.actions.scalar.DivideScalar",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate (A/B) for scalars."]; "ScalarAction" -> "DivideScalar" [arrowsize=0.5,style="setlinewidth(0.5)"]; "FracInRange" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.FracInRange.html#lsst.analysis.tools.actions.scalar.FracInRange",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Compute the fraction of a distribution that is between specified"]; "ScalarFromVectorAction" -> "FracInRange" [arrowsize=0.5,style="setlinewidth(0.5)"]; "FracNan" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.FracNan.html#lsst.analysis.tools.actions.scalar.FracNan",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Compute the fraction of vector entries that are NaN."]; "ScalarFromVectorAction" -> "FracNan" [arrowsize=0.5,style="setlinewidth(0.5)"]; "FracThreshold" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.FracThreshold.html#lsst.analysis.tools.actions.scalar.FracThreshold",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Compute the fraction of a distribution above or below a threshold."]; "ScalarFromVectorAction" -> "FracThreshold" [arrowsize=0.5,style="setlinewidth(0.5)"]; "IqrHistAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.IqrHistAction.html#lsst.analysis.tools.actions.scalar.IqrHistAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculates the interquartile range of the given histogram data."]; "ScalarAction" -> "IqrHistAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MaxAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.MaxAction.html#lsst.analysis.tools.actions.scalar.MaxAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Returns the maximum of the given data."]; "ScalarFromVectorAction" -> "MaxAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MeanAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.MeanAction.html#lsst.analysis.tools.actions.scalar.MeanAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculates the mean of the given data."]; "ScalarFromVectorAction" -> "MeanAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MedianAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.MedianAction.html#lsst.analysis.tools.actions.scalar.MedianAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculates the median of the given data."]; "ScalarFromVectorAction" -> "MedianAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MedianHistAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.MedianHistAction.html#lsst.analysis.tools.actions.scalar.MedianHistAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculates the median of the given histogram data."]; "ScalarAction" -> "MedianHistAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MinAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.MinAction.html#lsst.analysis.tools.actions.scalar.MinAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Returns the minimum of the given data."]; "ScalarFromVectorAction" -> "MinAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ScalarAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="A `ScalarAction` is an `AnalysisAction` that returns a `Scalar` when"]; "AnalysisAction" -> "ScalarAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ScalarFromVectorAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Calculates a statistic from a single vector."]; "ScalarAction" -> "ScalarFromVectorAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SigmaMadAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.SigmaMadAction.html#lsst.analysis.tools.actions.scalar.SigmaMadAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculates the sigma mad of the given data."]; "ScalarFromVectorAction" -> "SigmaMadAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "StdevAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.StdevAction.html#lsst.analysis.tools.actions.scalar.StdevAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculates the standard deviation of the given data."]; "ScalarFromVectorAction" -> "StdevAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SumAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.SumAction.html#lsst.analysis.tools.actions.scalar.SumAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Returns the sum of all values in the column."]; "ScalarFromVectorAction" -> "SumAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ValueAction" [URL="../../../py-api/lsst.analysis.tools.actions.scalar.ValueAction.html#lsst.analysis.tools.actions.scalar.ValueAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Extracts the first value from a vector."]; "ScalarFromVectorAction" -> "ValueAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; }

lsst.analysis.tools.actions.vector Package¶

Classes¶

`AddVector`(args, *kw)	Calculate (A+B).
`AngularSeparation`(args, *kw)	Calculate the angular separation between two coordinate positions.
`BandSelector`(args, *kw)	Makes a mask for sources observed in a specified set of bands.
`BinnedCorr2Config`(args, *kw)	A Config class that holds some of the parameters supported by treecorr.
`CalcBinnedStatsAction`(args, *kw)
`CalcE`(args, *kw)	Calculate a complex value representation of the ellipticity.
`CalcE1`(args, *kw)	Calculate \(e_1\) (distortion-type) or \(g_1\) (shear-type).
`CalcE2`(args, *kw)	Calculate \(e_2\) (distortion-type) or \(g_2\) (shear-type).
`CalcEDiff`(args, *kw)	Calculate the difference of two ellipticities as a complex quantity.
`CalcMomentSize`(args, *kw)	Calculate a size based on 2D moments.
`CalcRhoStatistics`(args, *kw)	Calculate rho statistics.
`CalcSn`(args, *kw)	Calculate the signal-to-noise ratio from a single flux vector.
`CoaddPlotFlagSelector`(args, *kw)	This default setting makes it take the band from the kwargs.
`ColorDiff`(args, *kw)	Calculate the difference between two colors from flux actions.
`ColorError`(args, *kw)	Calculate the error in a color from two different flux error columns.
`ConstantValue`(args, *kw)	Return a constant scalar value.
`ConvertFluxToMag`(args, *kw)	Turn nano janskies into magnitudes.
`ConvertUnits`(args, *kw)	Convert the units of a vector.
`DivideVector`(args, *kw)	Calculate (A/B)
`DownselectVector`(args, *kw)	Get a vector from KeyedData, apply specified selector, return the shorter Vector.
`ExtendednessSelector`(args, *kw)	A selector that picks between extended and point sources.
`ExtinctionCorrectedMagDiff`(args, *kw)	Compute the difference between two magnitudes and correct for extinction By default bands are derived from the <band>_ prefix on flux columns, per the naming convention in the Object Table: e.g.
`FlagSelector`(args, *kw)	The base flag selector to use to select valid sources for QA.
`FractionalDifference`(args, *kw)	Calculate (A-B)/B.
`GalaxySelector`(args, *kw)	A selector that picks out galaxies based off of their extendedness values.
`GoodDiaSourceSelector`(args, *kw)	Selects good DIA sources from diaSourceTables.
`LoadVector`(args, *kw)	Load and return a Vector from KeyedData.
`Log10Vector`(args, *kw)	Calculate log10(A)
`MagDiff`(args, *kw)	Calculate the difference between two magnitudes; each magnitude is derived from a flux column.
`MagSelector`(args, *kw)	Selects points that have minMag < mag (AB) < maxMag.
`MatchingFlagSelector`(args, *kw)	The default flag selector to apply pre matching.
`MultiCriteriaDownselectVector`(args, *kw)	Get a vector from KeyedData, apply specified set of selectors with AND logic, and return the shorter Vector.
`MultiplyVector`(args, *kw)	Calculate (A*B)
`PerGroupStatistic`(args, *kw)	Compute per-group statistic values and return result as a vector with one element per group.
`RAcosDec`(args, *kw)	Construct a vector of RA*cos(Dec) in order to have commensurate values between RA and Dec.
`RaiseFromBaseVector`(args, *kw)	Calculate n**A
`RaiseToPowerVector`(args, *kw)	Calculate A**n
`RangeSelector`(args, *kw)	Selects rows within a range, inclusive of min/exclusive of max.
`ResidualWithPerGroupStatistic`(args, *kw)	Compute residual between individual elements of group and the per-group statistic.
`SkyObjectSelector`(args, *kw)	Selects sky objects in the given band(s).
`SkySourceSelector`(args, *kw)	Selects sky sources from sourceTables.
`SnSelector`(args, *kw)	Selects points that have S/N > threshold in the given flux type.
`SqrtVector`(args, *kw)	Calculate sqrt(A)
`SquareVector`(args, *kw)	Calculate A**2
`StarSelector`(args, *kw)	A selector that picks out stars based off of their extendedness values.
`SubtractVector`(args, *kw)	Calculate (A-B).
`ThresholdSelector`(args, *kw)	Return a mask corresponding to an applied threshold.
`UnknownSelector`(args, *kw)	A selector that picks out unclassified objects based off of their extendedness values.
`VectorSelector`(args, *kw)	Load a boolean vector from KeyedData and return it for use as a selector.
`VisitPlotFlagSelector`(args, *kw)	Select on a set of flags appropriate for making visit-level plots (i.e., using sourceTable_visit catalogs).

Class Inheritance Diagram¶

digraph inheritance7f74e51243 { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "AddVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.AddVector.html#lsst.analysis.tools.actions.vector.AddVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate (A+B)."]; "VectorAction" -> "AddVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AnalysisAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Base class interface for the various actions used in analysis tools."]; "ConfigurableAction" -> "AnalysisAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AngularSeparation" [URL="../../../py-api/lsst.analysis.tools.actions.vector.AngularSeparation.html#lsst.analysis.tools.actions.vector.AngularSeparation",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate the angular separation between two coordinate positions."]; "VectorAction" -> "AngularSeparation" [arrowsize=0.5,style="setlinewidth(0.5)"]; "BandSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.BandSelector.html#lsst.analysis.tools.actions.vector.BandSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Makes a mask for sources observed in a specified set of bands."]; "VectorAction" -> "BandSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "BinnedCorr2Config" [URL="../../../py-api/lsst.analysis.tools.actions.vector.BinnedCorr2Config.html#lsst.analysis.tools.actions.vector.BinnedCorr2Config",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A Config class that holds some of the parameters supported by treecorr."]; "Config" -> "BinnedCorr2Config" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalcBinnedStatsAction" [URL="../../../py-api/lsst.analysis.tools.actions.vector.CalcBinnedStatsAction.html#lsst.analysis.tools.actions.vector.CalcBinnedStatsAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "KeyedDataAction" -> "CalcBinnedStatsAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalcE" [URL="../../../py-api/lsst.analysis.tools.actions.vector.CalcE.html#lsst.analysis.tools.actions.vector.CalcE",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate a complex value representation of the ellipticity."]; "VectorAction" -> "CalcE" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalcE1" [URL="../../../py-api/lsst.analysis.tools.actions.vector.CalcE1.html#lsst.analysis.tools.actions.vector.CalcE1",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate :math:`e_1` (distortion-type) or :math:`g_1` (shear-type)."]; "VectorAction" -> "CalcE1" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalcE2" [URL="../../../py-api/lsst.analysis.tools.actions.vector.CalcE2.html#lsst.analysis.tools.actions.vector.CalcE2",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate :math:`e_2` (distortion-type) or :math:`g_2` (shear-type)."]; "VectorAction" -> "CalcE2" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalcEDiff" [URL="../../../py-api/lsst.analysis.tools.actions.vector.CalcEDiff.html#lsst.analysis.tools.actions.vector.CalcEDiff",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate the difference of two ellipticities as a complex quantity."]; "VectorAction" -> "CalcEDiff" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalcMomentSize" [URL="../../../py-api/lsst.analysis.tools.actions.vector.CalcMomentSize.html#lsst.analysis.tools.actions.vector.CalcMomentSize",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate a size based on 2D moments."]; "VectorAction" -> "CalcMomentSize" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalcRhoStatistics" [URL="../../../py-api/lsst.analysis.tools.actions.vector.CalcRhoStatistics.html#lsst.analysis.tools.actions.vector.CalcRhoStatistics",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate rho statistics."]; "KeyedDataAction" -> "CalcRhoStatistics" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalcSn" [URL="../../../py-api/lsst.analysis.tools.actions.vector.CalcSn.html#lsst.analysis.tools.actions.vector.CalcSn",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate the signal-to-noise ratio from a single flux vector."]; "VectorAction" -> "CalcSn" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CoaddPlotFlagSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.CoaddPlotFlagSelector.html#lsst.analysis.tools.actions.vector.CoaddPlotFlagSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="This default setting makes it take the band from"]; "FlagSelector" -> "CoaddPlotFlagSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ColorDiff" [URL="../../../py-api/lsst.analysis.tools.actions.vector.ColorDiff.html#lsst.analysis.tools.actions.vector.ColorDiff",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate the difference between two colors from flux actions."]; "VectorAction" -> "ColorDiff" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ColorError" [URL="../../../py-api/lsst.analysis.tools.actions.vector.ColorError.html#lsst.analysis.tools.actions.vector.ColorError",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate the error in a color from two different flux error columns."]; "VectorAction" -> "ColorError" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Config" [URL="../../../py-api/lsst.pex.config.Config.html#lsst.pex.config.Config",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Base class for configuration (*config*) objects."]; "ConfigurableAction" [URL="../../../py-api/lsst.pex.config.configurableActions.ConfigurableAction.html#lsst.pex.config.configurableActions.ConfigurableAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A `ConfigurableAction` is an interface that extends a"]; "Config" -> "ConfigurableAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ConstantValue" [URL="../../../py-api/lsst.analysis.tools.actions.vector.ConstantValue.html#lsst.analysis.tools.actions.vector.ConstantValue",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Return a constant scalar value."]; "VectorAction" -> "ConstantValue" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ConvertFluxToMag" [URL="../../../py-api/lsst.analysis.tools.actions.vector.ConvertFluxToMag.html#lsst.analysis.tools.actions.vector.ConvertFluxToMag",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Turn nano janskies into magnitudes."]; "VectorAction" -> "ConvertFluxToMag" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ConvertUnits" [URL="../../../py-api/lsst.analysis.tools.actions.vector.ConvertUnits.html#lsst.analysis.tools.actions.vector.ConvertUnits",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Convert the units of a vector."]; "VectorAction" -> "ConvertUnits" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DivideVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.DivideVector.html#lsst.analysis.tools.actions.vector.DivideVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate (A/B)"]; "VectorAction" -> "DivideVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DownselectVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.DownselectVector.html#lsst.analysis.tools.actions.vector.DownselectVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Get a vector from KeyedData, apply specified selector, return the"]; "VectorAction" -> "DownselectVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ExtendednessSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.ExtendednessSelector.html#lsst.analysis.tools.actions.vector.ExtendednessSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A selector that picks between extended and point sources."]; "VectorAction" -> "ExtendednessSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ExtinctionCorrectedMagDiff" [URL="../../../py-api/lsst.analysis.tools.actions.vector.ExtinctionCorrectedMagDiff.html#lsst.analysis.tools.actions.vector.ExtinctionCorrectedMagDiff",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Compute the difference between two magnitudes and correct for extinction"]; "VectorAction" -> "ExtinctionCorrectedMagDiff" [arrowsize=0.5,style="setlinewidth(0.5)"]; "FlagSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.FlagSelector.html#lsst.analysis.tools.actions.vector.FlagSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The base flag selector to use to select valid sources for QA."]; "VectorAction" -> "FlagSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "FractionalDifference" [URL="../../../py-api/lsst.analysis.tools.actions.vector.FractionalDifference.html#lsst.analysis.tools.actions.vector.FractionalDifference",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate (A-B)/B."]; "VectorAction" -> "FractionalDifference" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GalaxySelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.GalaxySelector.html#lsst.analysis.tools.actions.vector.GalaxySelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A selector that picks out galaxies based off of their"]; "ExtendednessSelector" -> "GalaxySelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GoodDiaSourceSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.GoodDiaSourceSelector.html#lsst.analysis.tools.actions.vector.GoodDiaSourceSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Selects good DIA sources from diaSourceTables."]; "FlagSelector" -> "GoodDiaSourceSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "KeyedDataAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="A `KeyedDataAction` is an `AnalysisAction` that returns `KeyedData` when"]; "AnalysisAction" -> "KeyedDataAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LoadVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.LoadVector.html#lsst.analysis.tools.actions.vector.LoadVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Load and return a Vector from KeyedData."]; "VectorAction" -> "LoadVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Log10Vector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.Log10Vector.html#lsst.analysis.tools.actions.vector.Log10Vector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate log10(A)"]; "VectorAction" -> "Log10Vector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MagDiff" [URL="../../../py-api/lsst.analysis.tools.actions.vector.MagDiff.html#lsst.analysis.tools.actions.vector.MagDiff",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate the difference between two magnitudes;"]; "VectorAction" -> "MagDiff" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MagSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.MagSelector.html#lsst.analysis.tools.actions.vector.MagSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Selects points that have minMag < mag (AB) < maxMag."]; "SelectorBase" -> "MagSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MatchingFlagSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.MatchingFlagSelector.html#lsst.analysis.tools.actions.vector.MatchingFlagSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The default flag selector to apply pre matching."]; "CoaddPlotFlagSelector" -> "MatchingFlagSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MultiCriteriaDownselectVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.MultiCriteriaDownselectVector.html#lsst.analysis.tools.actions.vector.MultiCriteriaDownselectVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Get a vector from KeyedData, apply specified set of selectors with AND"]; "VectorAction" -> "MultiCriteriaDownselectVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MultiplyVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.MultiplyVector.html#lsst.analysis.tools.actions.vector.MultiplyVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate (A*B)"]; "VectorAction" -> "MultiplyVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PerGroupStatistic" [URL="../../../py-api/lsst.analysis.tools.actions.vector.PerGroupStatistic.html#lsst.analysis.tools.actions.vector.PerGroupStatistic",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Compute per-group statistic values and return result as a vector with"]; "VectorAction" -> "PerGroupStatistic" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RAcosDec" [URL="../../../py-api/lsst.analysis.tools.actions.vector.RAcosDec.html#lsst.analysis.tools.actions.vector.RAcosDec",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Construct a vector of RA*cos(Dec) in order to have commensurate values"]; "VectorAction" -> "RAcosDec" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RaiseFromBaseVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.RaiseFromBaseVector.html#lsst.analysis.tools.actions.vector.RaiseFromBaseVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate n**A"]; "VectorAction" -> "RaiseFromBaseVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RaiseToPowerVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.RaiseToPowerVector.html#lsst.analysis.tools.actions.vector.RaiseToPowerVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate A**n"]; "VectorAction" -> "RaiseToPowerVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RangeSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.RangeSelector.html#lsst.analysis.tools.actions.vector.RangeSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Selects rows within a range, inclusive of min/exclusive of max."]; "SelectorBase" -> "RangeSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ResidualWithPerGroupStatistic" [URL="../../../py-api/lsst.analysis.tools.actions.vector.ResidualWithPerGroupStatistic.html#lsst.analysis.tools.actions.vector.ResidualWithPerGroupStatistic",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Compute residual between individual elements of group and the per-group"]; "VectorAction" -> "ResidualWithPerGroupStatistic" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SelectorBase" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled"]; "VectorAction" -> "SelectorBase" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SkyObjectSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.SkyObjectSelector.html#lsst.analysis.tools.actions.vector.SkyObjectSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Selects sky objects in the given band(s)."]; "FlagSelector" -> "SkyObjectSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SkySourceSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.SkySourceSelector.html#lsst.analysis.tools.actions.vector.SkySourceSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Selects sky sources from sourceTables."]; "FlagSelector" -> "SkySourceSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SnSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.SnSelector.html#lsst.analysis.tools.actions.vector.SnSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Selects points that have S/N > threshold in the given flux type."]; "SelectorBase" -> "SnSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SqrtVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.SqrtVector.html#lsst.analysis.tools.actions.vector.SqrtVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate sqrt(A)"]; "VectorAction" -> "SqrtVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SquareVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.SquareVector.html#lsst.analysis.tools.actions.vector.SquareVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate A**2"]; "VectorAction" -> "SquareVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "StarSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.StarSelector.html#lsst.analysis.tools.actions.vector.StarSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A selector that picks out stars based off of their"]; "ExtendednessSelector" -> "StarSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SubtractVector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.SubtractVector.html#lsst.analysis.tools.actions.vector.SubtractVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate (A-B)."]; "VectorAction" -> "SubtractVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ThresholdSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.ThresholdSelector.html#lsst.analysis.tools.actions.vector.ThresholdSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Return a mask corresponding to an applied threshold."]; "SelectorBase" -> "ThresholdSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "UnknownSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.UnknownSelector.html#lsst.analysis.tools.actions.vector.UnknownSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A selector that picks out unclassified objects based off of their"]; "ExtendednessSelector" -> "UnknownSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VectorAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="A `VectorAction` is an `AnalysisAction` that returns a `Vector` when"]; "AnalysisAction" -> "VectorAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VectorSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.VectorSelector.html#lsst.analysis.tools.actions.vector.VectorSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Load a boolean vector from KeyedData and return it for use as a"]; "VectorAction" -> "VectorSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VisitPlotFlagSelector" [URL="../../../py-api/lsst.analysis.tools.actions.vector.VisitPlotFlagSelector.html#lsst.analysis.tools.actions.vector.VisitPlotFlagSelector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Select on a set of flags appropriate for making visit-level plots"]; "FlagSelector" -> "VisitPlotFlagSelector" [arrowsize=0.5,style="setlinewidth(0.5)"]; }

lsst.analysis.tools.actions.keyedData Package¶

Classes¶

`AddComputedVector`(args, *kw)	Compute a `Vector` from the specified `VectorAction` and add it to a copy of the KeyedData, returning the result.
`CalcRelativeDistances`(args, *kw)	Calculate relative distances in a matched catalog.
`ChainedKeyedDataActions`(args, *kw)	Run a series of `KeyedDataAction`s and accumulated their output into one KeyedData result.
`KeyedDataSelectorAction`(args, *kw)	Extract Vector specified by `vectorKeys` from input KeyedData and optionally apply selectors to down select extracted vectors.
`KeyedScalars`(args, *kw)	Creates an output of type KeyedData, where the keys are given by the identifiers in `scalarActions` and the values are the results of the corresponding `ScalarAction`.
`StellarLocusFitAction`(args, *kw)	Determine Stellar Locus fit parameters from given input `Vector`s.

Class Inheritance Diagram¶

digraph inheritance22d09d8ab6 { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "AddComputedVector" [URL="../../../py-api/lsst.analysis.tools.actions.keyedData.AddComputedVector.html#lsst.analysis.tools.actions.keyedData.AddComputedVector",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Compute a `Vector` from the specified `VectorAction` and add it to a"]; "KeyedDataAction" -> "AddComputedVector" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AnalysisAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Base class interface for the various actions used in analysis tools."]; "ConfigurableAction" -> "AnalysisAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalcRelativeDistances" [URL="../../../py-api/lsst.analysis.tools.actions.keyedData.CalcRelativeDistances.html#lsst.analysis.tools.actions.keyedData.CalcRelativeDistances",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Calculate relative distances in a matched catalog."]; "KeyedDataAction" -> "CalcRelativeDistances" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ChainedKeyedDataActions" [URL="../../../py-api/lsst.analysis.tools.actions.keyedData.ChainedKeyedDataActions.html#lsst.analysis.tools.actions.keyedData.ChainedKeyedDataActions",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Run a series of `KeyedDataAction`\ s and accumulated their output into"]; "KeyedDataAction" -> "ChainedKeyedDataActions" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Config" [URL="../../../py-api/lsst.pex.config.Config.html#lsst.pex.config.Config",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Base class for configuration (*config*) objects."]; "ConfigurableAction" [URL="../../../py-api/lsst.pex.config.configurableActions.ConfigurableAction.html#lsst.pex.config.configurableActions.ConfigurableAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A `ConfigurableAction` is an interface that extends a"]; "Config" -> "ConfigurableAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "KeyedDataAction" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="A `KeyedDataAction` is an `AnalysisAction` that returns `KeyedData` when"]; "AnalysisAction" -> "KeyedDataAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "KeyedDataSelectorAction" [URL="../../../py-api/lsst.analysis.tools.actions.keyedData.KeyedDataSelectorAction.html#lsst.analysis.tools.actions.keyedData.KeyedDataSelectorAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Extract Vector specified by ``vectorKeys`` from input KeyedData and"]; "KeyedDataAction" -> "KeyedDataSelectorAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; "KeyedScalars" [URL="../../../py-api/lsst.analysis.tools.actions.keyedData.KeyedScalars.html#lsst.analysis.tools.actions.keyedData.KeyedScalars",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Creates an output of type KeyedData, where the keys are given by the"]; "KeyedDataAction" -> "KeyedScalars" [arrowsize=0.5,style="setlinewidth(0.5)"]; "StellarLocusFitAction" [URL="../../../py-api/lsst.analysis.tools.actions.keyedData.StellarLocusFitAction.html#lsst.analysis.tools.actions.keyedData.StellarLocusFitAction",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Determine Stellar Locus fit parameters from given input `Vector`\ s."]; "KeyedDataAction" -> "StellarLocusFitAction" [arrowsize=0.5,style="setlinewidth(0.5)"]; }

lsst.analysis.tools.tasks Package¶

Classes¶

`AmpToAmpCorrelationAnalysisConfig`(args, *kw)
`AmpToAmpCorrelationAnalysisTask`(*[, config, ...])	Task to analyze the correlation between amplifier biases.
`AssocDiaSrcDetectorVisitAnalysisConfig`(...)
`AssocDiaSrcDetectorVisitAnalysisTask`(*[, ...])
`AssociatedSourcesTractAnalysisConfig`(args, *kw)
`AssociatedSourcesTractAnalysisTask`(*[, ...])
`AstrometricCatalogMatchConfig`(args, *kw)
`AstrometricCatalogMatchTask`(*[, config, ...])	Match a tract-level catalog to a reference catalog
`AstrometricCatalogMatchVisitConfig`(args, *kw)
`AstrometricCatalogMatchVisitTask`(*[, ...])	Match a visit-level catalog to a reference catalog
`CalexpSummaryAnalysisConfig`(args, *kw)
`CalexpSummaryAnalysisTask`(*[, config, log, ...])
`CatalogMatchConfig`(args, *kw)
`CatalogMatchTask`(*[, config, log, initInputs])	The base task for matching catalogs.
`CcdVisitTableAnalysisConfig`(args, *kw)
`CcdVisitTableAnalysisTask`(*[, config, log, ...])
`ConsolidateResourceUsageConfig`(args, *kw)	Configuration definitions for `ConsolidateResourceUsageTask`.
`ConsolidateResourceUsageConnections`(*[, config])	Connection definitions for `ConsolidateResourceUsageTask`.
`ConsolidateResourceUsageTask`(*[, config, ...])	A `PipelineTask` that summarizes task resource usage into a single table with per-task rows.
`DiaObjectDetectorVisitAnalysisConfig`(args, *kw)
`DiaObjectDetectorVisitAnalysisConnections`(*)
`DiaObjectDetectorVisitAnalysisTask`(*[, ...])
`DiaSourceTableTractAnalysisConfig`(args, *kw)
`DiaSourceTableTractAnalysisTask`(*[, config, ...])
`DiffMatchedAnalysisConfig`(args, *kw)
`DiffMatchedAnalysisTask`(*[, config, log, ...])
`DiffimDetectorVisitMetricsAnalysisConfig`(...)
`DiffimDetectorVisitMetricsAnalysisTask`(*[, ...])
`DiffimDetectorVisitSpatiallySampledPlotsConfig`(...)
`DiffimDetectorVisitSpatiallySampledPlotsTask`(*)
`GatherResourceUsageConfig`(args, *kw)	Configuration definitions for `GatherResourceUsageTask`.
`GatherResourceUsageConnections`(*[, config])	Connection definitions for `GatherResourceUsageTask`.
`GatherResourceUsageTask`(*[, config, log, ...])	A `PipelineTask` that gathers resource usage statistics from task metadata.
`ObjectTableSurveyAnalysisTask`(*[, config, ...])	A specialized `AnalysisPipelineTask` for multiple tracts.
`ObjectTableTractAnalysisConfig`(args, *kw)
`ObjectTableTractAnalysisTask`(*[, config, ...])
`PhotometricCatalogMatchConfig`(args, *kw)
`PhotometricCatalogMatchTask`(*[, config, ...])	A wrapper task to provide the information that is specific to the photometric reference catalog.
`PropertyMapTractAnalysisConfig`(args, *kw)
`PropertyMapTractAnalysisTask`(*[, config, ...])
`RefCatObjectAnalysisConfig`(args, *kw)
`RefCatObjectAnalysisTask`(*[, config, log, ...])	Make plots and metrics using a table of objects matched to reference catalog sources.
`RefCatObjectPhotometricAnalysisConfig`(*args, ...)
`RefCatObjectPhotometricAnalysisTask`(*[, ...])	Make plots and metrics using a table of objects matched to photometric reference catalog sources.
`RefCatSourceAnalysisConfig`(args, *kw)
`RefCatSourceAnalysisTask`(*[, config, log, ...])	Make plots and metrics using a table of objects matched to reference catalog sources.
`RefCatSourcePhotometricAnalysisConfig`(*args, ...)
`RefCatSourcePhotometricAnalysisTask`(*[, ...])	Make plots and metrics using a table of objects matched to photometric reference catalog sources.
`ResourceUsageQuantumGraphBuilder`(butler, *)	Custom quantum graph generator and pipeline builder for resource usage summary tasks.
`SourceTableVisitAnalysisConfig`(args, *kw)
`SourceTableVisitAnalysisTask`(*[, config, ...])
`TrailedDiaSrcDetectorVisitAnalysisConfig`(...)
`TrailedDiaSrcDetectorVisitAnalysisTask`(*[, ...])
`VerifyBiasResultsAnalysisConfig`(args, *kw)
`VerifyBiasResultsAnalysisConnections`(*[, config])
`VerifyBiasResultsAnalysisTask`(*[, config, ...])
`VerifyCalibAnalysisConfig`(args, *kw)
`VerifyCalibAnalysisTask`(*[, config, log, ...])
`VerifyPtcAnalysisConfig`(args, *kw)
`VerifyPtcAnalysisTask`(*[, config, log, ...])

Class Inheritance Diagram¶

digraph inheritanced2d0363283 { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "ABC" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Helper class that provides a standard way to create an ABC using"]; "AmpToAmpCorrelationAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.AmpToAmpCorrelationAnalysisConfig.html#lsst.analysis.tools.tasks.AmpToAmpCorrelationAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "AmpToAmpCorrelationAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AmpToAmpCorrelationAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.AmpToAmpCorrelationAnalysisTask.html#lsst.analysis.tools.tasks.AmpToAmpCorrelationAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Task to analyze the correlation between amplifier biases."]; "AnalysisPipelineTask" -> "AmpToAmpCorrelationAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AnalysisBaseConfig" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Base class for all configs used to define an `AnalysisPipelineTask`."]; "PipelineTaskConfig" -> "AnalysisBaseConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AnalysisBaseConnections" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Base class for Connections used for AnalysisTools PipelineTasks."]; "PipelineTaskConnections" -> "AnalysisBaseConnections" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AnalysisPipelineTask" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Base class for `PipelineTasks` intended to run `AnalysisTools`."]; "PipelineTask" -> "AnalysisPipelineTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AssocDiaSrcDetectorVisitAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.AssocDiaSrcDetectorVisitAnalysisConfig.html#lsst.analysis.tools.tasks.AssocDiaSrcDetectorVisitAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "AssocDiaSrcDetectorVisitAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AssocDiaSrcDetectorVisitAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.AssocDiaSrcDetectorVisitAnalysisTask.html#lsst.analysis.tools.tasks.AssocDiaSrcDetectorVisitAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "AssocDiaSrcDetectorVisitAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AssociatedSourcesTractAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.AssociatedSourcesTractAnalysisConfig.html#lsst.analysis.tools.tasks.AssociatedSourcesTractAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "AssociatedSourcesTractAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AssociatedSourcesTractAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.AssociatedSourcesTractAnalysisTask.html#lsst.analysis.tools.tasks.AssociatedSourcesTractAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "AssociatedSourcesTractAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AstrometricCatalogMatchConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.AstrometricCatalogMatchConfig.html#lsst.analysis.tools.tasks.AstrometricCatalogMatchConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "CatalogMatchConfig" -> "AstrometricCatalogMatchConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AstrometricCatalogMatchTask" [URL="../../../py-api/lsst.analysis.tools.tasks.AstrometricCatalogMatchTask.html#lsst.analysis.tools.tasks.AstrometricCatalogMatchTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Match a tract-level catalog to a reference catalog"]; "CatalogMatchTask" -> "AstrometricCatalogMatchTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AstrometricCatalogMatchVisitConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.AstrometricCatalogMatchVisitConfig.html#lsst.analysis.tools.tasks.AstrometricCatalogMatchVisitConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AstrometricCatalogMatchConfig" -> "AstrometricCatalogMatchVisitConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "AstrometricCatalogMatchVisitTask" [URL="../../../py-api/lsst.analysis.tools.tasks.AstrometricCatalogMatchVisitTask.html#lsst.analysis.tools.tasks.AstrometricCatalogMatchVisitTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Match a visit-level catalog to a reference catalog"]; "AstrometricCatalogMatchTask" -> "AstrometricCatalogMatchVisitTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalexpSummaryAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.CalexpSummaryAnalysisConfig.html#lsst.analysis.tools.tasks.CalexpSummaryAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "CalexpSummaryAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CalexpSummaryAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.CalexpSummaryAnalysisTask.html#lsst.analysis.tools.tasks.CalexpSummaryAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "CalexpSummaryAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CatalogMatchConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.CatalogMatchConfig.html#lsst.analysis.tools.tasks.CatalogMatchConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "PipelineTaskConfig" -> "CatalogMatchConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CatalogMatchTask" [URL="../../../py-api/lsst.analysis.tools.tasks.CatalogMatchTask.html#lsst.analysis.tools.tasks.CatalogMatchTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The base task for matching catalogs. Figures out which columns"]; "PipelineTask" -> "CatalogMatchTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CcdVisitTableAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.CcdVisitTableAnalysisConfig.html#lsst.analysis.tools.tasks.CcdVisitTableAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "CcdVisitTableAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CcdVisitTableAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.CcdVisitTableAnalysisTask.html#lsst.analysis.tools.tasks.CcdVisitTableAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "CcdVisitTableAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Config" [URL="../../../py-api/lsst.pex.config.Config.html#lsst.pex.config.Config",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Base class for configuration (*config*) objects."]; "ConsolidateResourceUsageConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.ConsolidateResourceUsageConfig.html#lsst.analysis.tools.tasks.ConsolidateResourceUsageConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Configuration definitions for `ConsolidateResourceUsageTask`."]; "PipelineTaskConfig" -> "ConsolidateResourceUsageConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ConsolidateResourceUsageConnections" [URL="../../../py-api/lsst.analysis.tools.tasks.ConsolidateResourceUsageConnections.html#lsst.analysis.tools.tasks.ConsolidateResourceUsageConnections",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Connection definitions for `ConsolidateResourceUsageTask`."]; "PipelineTaskConnections" -> "ConsolidateResourceUsageConnections" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ConsolidateResourceUsageTask" [URL="../../../py-api/lsst.analysis.tools.tasks.ConsolidateResourceUsageTask.html#lsst.analysis.tools.tasks.ConsolidateResourceUsageTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A `PipelineTask` that summarizes task resource usage into a single"]; "PipelineTask" -> "ConsolidateResourceUsageTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiaObjectDetectorVisitAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.DiaObjectDetectorVisitAnalysisConfig.html#lsst.analysis.tools.tasks.DiaObjectDetectorVisitAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "DiaObjectDetectorVisitAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiaObjectDetectorVisitAnalysisConnections" [URL="../../../py-api/lsst.analysis.tools.tasks.DiaObjectDetectorVisitAnalysisConnections.html#lsst.analysis.tools.tasks.DiaObjectDetectorVisitAnalysisConnections",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConnections" -> "DiaObjectDetectorVisitAnalysisConnections" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiaObjectDetectorVisitAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.DiaObjectDetectorVisitAnalysisTask.html#lsst.analysis.tools.tasks.DiaObjectDetectorVisitAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "DiaObjectDetectorVisitAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiaSourceTableTractAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.DiaSourceTableTractAnalysisConfig.html#lsst.analysis.tools.tasks.DiaSourceTableTractAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "DiaSourceTableTractAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiaSourceTableTractAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.DiaSourceTableTractAnalysisTask.html#lsst.analysis.tools.tasks.DiaSourceTableTractAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "DiaSourceTableTractAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiffMatchedAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.DiffMatchedAnalysisConfig.html#lsst.analysis.tools.tasks.DiffMatchedAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "DiffMatchedAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiffMatchedAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.DiffMatchedAnalysisTask.html#lsst.analysis.tools.tasks.DiffMatchedAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "DiffMatchedAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiffimDetectorVisitMetricsAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.DiffimDetectorVisitMetricsAnalysisConfig.html#lsst.analysis.tools.tasks.DiffimDetectorVisitMetricsAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "DiffimDetectorVisitMetricsAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiffimDetectorVisitMetricsAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.DiffimDetectorVisitMetricsAnalysisTask.html#lsst.analysis.tools.tasks.DiffimDetectorVisitMetricsAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "DiffimDetectorVisitMetricsAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiffimDetectorVisitSpatiallySampledPlotsConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.DiffimDetectorVisitSpatiallySampledPlotsConfig.html#lsst.analysis.tools.tasks.DiffimDetectorVisitSpatiallySampledPlotsConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "DiffimDetectorVisitSpatiallySampledPlotsConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DiffimDetectorVisitSpatiallySampledPlotsTask" [URL="../../../py-api/lsst.analysis.tools.tasks.DiffimDetectorVisitSpatiallySampledPlotsTask.html#lsst.analysis.tools.tasks.DiffimDetectorVisitSpatiallySampledPlotsTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "DiffimDetectorVisitSpatiallySampledPlotsTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GatherResourceUsageConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.GatherResourceUsageConfig.html#lsst.analysis.tools.tasks.GatherResourceUsageConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Configuration definitions for `GatherResourceUsageTask`."]; "PipelineTaskConfig" -> "GatherResourceUsageConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GatherResourceUsageConnections" [URL="../../../py-api/lsst.analysis.tools.tasks.GatherResourceUsageConnections.html#lsst.analysis.tools.tasks.GatherResourceUsageConnections",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Connection definitions for `GatherResourceUsageTask`."]; "PipelineTaskConnections" -> "GatherResourceUsageConnections" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GatherResourceUsageTask" [URL="../../../py-api/lsst.analysis.tools.tasks.GatherResourceUsageTask.html#lsst.analysis.tools.tasks.GatherResourceUsageTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A `PipelineTask` that gathers resource usage statistics from task"]; "PipelineTask" -> "GatherResourceUsageTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ObjectTableSurveyAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.ObjectTableSurveyAnalysisTask.html#lsst.analysis.tools.tasks.ObjectTableSurveyAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A specialized ``AnalysisPipelineTask`` for multiple tracts."]; "AnalysisPipelineTask" -> "ObjectTableSurveyAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ObjectTableTractAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.ObjectTableTractAnalysisConfig.html#lsst.analysis.tools.tasks.ObjectTableTractAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "ObjectTableTractAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ObjectTableTractAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.ObjectTableTractAnalysisTask.html#lsst.analysis.tools.tasks.ObjectTableTractAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "ObjectTableTractAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PhotometricCatalogMatchConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.PhotometricCatalogMatchConfig.html#lsst.analysis.tools.tasks.PhotometricCatalogMatchConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "CatalogMatchConfig" -> "PhotometricCatalogMatchConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PhotometricCatalogMatchTask" [URL="../../../py-api/lsst.analysis.tools.tasks.PhotometricCatalogMatchTask.html#lsst.analysis.tools.tasks.PhotometricCatalogMatchTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A wrapper task to provide the information that"]; "CatalogMatchTask" -> "PhotometricCatalogMatchTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PipelineTask" [URL="../../../py-api/lsst.pipe.base.PipelineTask.html#lsst.pipe.base.PipelineTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Base class for all pipeline tasks."]; "Task" -> "PipelineTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PipelineTaskConfig" [URL="../../../py-api/lsst.pipe.base.PipelineTaskConfig.html#lsst.pipe.base.PipelineTaskConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Configuration class for `PipelineTask`."]; "Config" -> "PipelineTaskConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PipelineTaskConnections" [URL="../../../py-api/lsst.pipe.base.PipelineTaskConnections.html#lsst.pipe.base.PipelineTaskConnections",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="PipelineTaskConnections is a class used to declare desired IO when a"]; "PropertyMapTractAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.PropertyMapTractAnalysisConfig.html#lsst.analysis.tools.tasks.PropertyMapTractAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "PropertyMapTractAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PropertyMapTractAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.PropertyMapTractAnalysisTask.html#lsst.analysis.tools.tasks.PropertyMapTractAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "PropertyMapTractAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "QuantumGraphBuilder" [URL="../../../py-api/lsst.pipe.base.quantum_graph_builder.QuantumGraphBuilder.html#lsst.pipe.base.quantum_graph_builder.QuantumGraphBuilder",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="An abstract base class for building `QuantumGraph` objects from a"]; "ABC" -> "QuantumGraphBuilder" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RefCatObjectAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.RefCatObjectAnalysisConfig.html#lsst.analysis.tools.tasks.RefCatObjectAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "RefCatObjectAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RefCatObjectAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.RefCatObjectAnalysisTask.html#lsst.analysis.tools.tasks.RefCatObjectAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Make plots and metrics using a table of objects matched to reference"]; "AnalysisPipelineTask" -> "RefCatObjectAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RefCatObjectPhotometricAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.RefCatObjectPhotometricAnalysisConfig.html#lsst.analysis.tools.tasks.RefCatObjectPhotometricAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "RefCatObjectPhotometricAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RefCatObjectPhotometricAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.RefCatObjectPhotometricAnalysisTask.html#lsst.analysis.tools.tasks.RefCatObjectPhotometricAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Make plots and metrics using a table of objects"]; "AnalysisPipelineTask" -> "RefCatObjectPhotometricAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RefCatSourceAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.RefCatSourceAnalysisConfig.html#lsst.analysis.tools.tasks.RefCatSourceAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "RefCatSourceAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RefCatSourceAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.RefCatSourceAnalysisTask.html#lsst.analysis.tools.tasks.RefCatSourceAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Make plots and metrics using a table of objects matched to reference"]; "AnalysisPipelineTask" -> "RefCatSourceAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RefCatSourcePhotometricAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.RefCatSourcePhotometricAnalysisConfig.html#lsst.analysis.tools.tasks.RefCatSourcePhotometricAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "RefCatSourcePhotometricAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RefCatSourcePhotometricAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.RefCatSourcePhotometricAnalysisTask.html#lsst.analysis.tools.tasks.RefCatSourcePhotometricAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Make plots and metrics using a table of objects"]; "AnalysisPipelineTask" -> "RefCatSourcePhotometricAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ResourceUsageQuantumGraphBuilder" [URL="../../../py-api/lsst.analysis.tools.tasks.ResourceUsageQuantumGraphBuilder.html#lsst.analysis.tools.tasks.ResourceUsageQuantumGraphBuilder",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Custom quantum graph generator and pipeline builder for resource"]; "QuantumGraphBuilder" -> "ResourceUsageQuantumGraphBuilder" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SourceTableVisitAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.SourceTableVisitAnalysisConfig.html#lsst.analysis.tools.tasks.SourceTableVisitAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "SourceTableVisitAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SourceTableVisitAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.SourceTableVisitAnalysisTask.html#lsst.analysis.tools.tasks.SourceTableVisitAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "SourceTableVisitAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Task" [URL="../../../py-api/lsst.pipe.base.Task.html#lsst.pipe.base.Task",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Base class for data processing tasks."]; "TrailedDiaSrcDetectorVisitAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.TrailedDiaSrcDetectorVisitAnalysisConfig.html#lsst.analysis.tools.tasks.TrailedDiaSrcDetectorVisitAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "TrailedDiaSrcDetectorVisitAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TrailedDiaSrcDetectorVisitAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.TrailedDiaSrcDetectorVisitAnalysisTask.html#lsst.analysis.tools.tasks.TrailedDiaSrcDetectorVisitAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "TrailedDiaSrcDetectorVisitAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VerifyBiasResultsAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.VerifyBiasResultsAnalysisConfig.html#lsst.analysis.tools.tasks.VerifyBiasResultsAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "VerifyBiasResultsAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VerifyBiasResultsAnalysisConnections" [URL="../../../py-api/lsst.analysis.tools.tasks.VerifyBiasResultsAnalysisConnections.html#lsst.analysis.tools.tasks.VerifyBiasResultsAnalysisConnections",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConnections" -> "VerifyBiasResultsAnalysisConnections" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VerifyBiasResultsAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.VerifyBiasResultsAnalysisTask.html#lsst.analysis.tools.tasks.VerifyBiasResultsAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "VerifyBiasResultsAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VerifyCalibAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.VerifyCalibAnalysisConfig.html#lsst.analysis.tools.tasks.VerifyCalibAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "VerifyCalibAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VerifyCalibAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.VerifyCalibAnalysisTask.html#lsst.analysis.tools.tasks.VerifyCalibAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "VerifyCalibAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VerifyPtcAnalysisConfig" [URL="../../../py-api/lsst.analysis.tools.tasks.VerifyPtcAnalysisConfig.html#lsst.analysis.tools.tasks.VerifyPtcAnalysisConfig",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisBaseConfig" -> "VerifyPtcAnalysisConfig" [arrowsize=0.5,style="setlinewidth(0.5)"]; "VerifyPtcAnalysisTask" [URL="../../../py-api/lsst.analysis.tools.tasks.VerifyPtcAnalysisTask.html#lsst.analysis.tools.tasks.VerifyPtcAnalysisTask",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top"]; "AnalysisPipelineTask" -> "VerifyPtcAnalysisTask" [arrowsize=0.5,style="setlinewidth(0.5)"]; }

`BarPanel`(args, *kw)	A configurable class describing a panel in a bar plot.
`BarPlot`(args, *kw)	A plotting tool which can take multiple keyed data inputs and can create one or more bar graphs.
`ColorColorFitPlot`(args, *kw)	Make a color-color plot and overplot a prefited line to the fit region.
`DiaSkyPanel`(args, *kw)	Configuration options for DiaSkyPlot panels.
`DiaSkyPlot`(args, *kw)	Generic pseudo base class for plotting DiaSources (or DiaObjects) on the sky.
`FocalPlaneGeometryPlot`(args, *kw)	Plots the focal plane distribution of a parameter in afw camera geometry units: amplifiers and detectors.
`FocalPlanePlot`(args, *kw)	Plots the focal plane distribution of a parameter.
`GridPanelConfig`(args, *kw)
`GridPlot`(args, *kw)	Plot a series of plot elements onto a regularly spaced grid.
`HistPanel`(args, *kw)	A Config class that holds parameters to configure a single panel of a histogram plot.
`HistPlot`(args, *kw)	Make an N-panel plot with a configurable number of histograms displayed in each panel.
`HistStatsPanel`(args, *kw)	A Config class that holds parameters to configure a the stats panel shown for histPlot.
`InterpolateDetectorMetricPlot`(args, *kw)	Interpolate metrics evaluated at locations across a detector.
`MatrixPlot`(args, *kw)	Make the plot of a matrix (2D array).
`Med2Mad`(args, *kw)	Return the median +/- 2*nansigmamad values of an input vector to use as the minimum and maximum values of a colorbar range.
`MinMax`(args, *kw)	Return the maximum and minimum values of an input vector to use as the minimum and maximum values of a colorbar range.
`MultiVisitCoveragePlot`(args, *kw)	Plot the coverage for a set of visits.
`PropertyMapPlot`(args, *kw)
`RhoStatisticsPlot`(args, *kw)	Make multiple plots of rho statistics.
`ScatterPlotStatsAction`(args, *kw)	Calculates the statistics needed for the scatter plot with two hists.
`ScatterPlotWithTwoHists`(args, *kw)	Makes a scatter plot of the data with a marginal histogram for each axis.
`SkyPlot`(args, *kw)	Plots the on sky distribution of a parameter.
`XYPlot`(args, *kw)	Make a plot (with errorbars) of one quantity (X) vs another (Y).

`AddVector`(args, *kw)	Calculate (A+B).
`AngularSeparation`(args, *kw)	Calculate the angular separation between two coordinate positions.
`BandSelector`(args, *kw)	Makes a mask for sources observed in a specified set of bands.
`BinnedCorr2Config`(args, *kw)	A Config class that holds some of the parameters supported by treecorr.
`CalcBinnedStatsAction`(args, *kw)
`CalcE`(args, *kw)	Calculate a complex value representation of the ellipticity.
`CalcE1`(args, *kw)	Calculate \(e_1\) (distortion-type) or \(g_1\) (shear-type).
`CalcE2`(args, *kw)	Calculate \(e_2\) (distortion-type) or \(g_2\) (shear-type).
`CalcEDiff`(args, *kw)	Calculate the difference of two ellipticities as a complex quantity.
`CalcMomentSize`(args, *kw)	Calculate a size based on 2D moments.
`CalcRhoStatistics`(args, *kw)	Calculate rho statistics.
`CalcSn`(args, *kw)	Calculate the signal-to-noise ratio from a single flux vector.
`CoaddPlotFlagSelector`(args, *kw)	This default setting makes it take the band from the kwargs.
`ColorDiff`(args, *kw)	Calculate the difference between two colors from flux actions.
`ColorError`(args, *kw)	Calculate the error in a color from two different flux error columns.
`ConstantValue`(args, *kw)	Return a constant scalar value.
`ConvertFluxToMag`(args, *kw)	Turn nano janskies into magnitudes.
`ConvertUnits`(args, *kw)	Convert the units of a vector.
`DivideVector`(args, *kw)	Calculate (A/B)
`DownselectVector`(args, *kw)	Get a vector from KeyedData, apply specified selector, return the shorter Vector.
`ExtendednessSelector`(args, *kw)	A selector that picks between extended and point sources.
`ExtinctionCorrectedMagDiff`(args, *kw)	Compute the difference between two magnitudes and correct for extinction By default bands are derived from the <band>_ prefix on flux columns, per the naming convention in the Object Table: e.g.
`FlagSelector`(args, *kw)	The base flag selector to use to select valid sources for QA.
`FractionalDifference`(args, *kw)	Calculate (A-B)/B.
`GalaxySelector`(args, *kw)	A selector that picks out galaxies based off of their extendedness values.
`GoodDiaSourceSelector`(args, *kw)	Selects good DIA sources from diaSourceTables.
`LoadVector`(args, *kw)	Load and return a Vector from KeyedData.
`Log10Vector`(args, *kw)	Calculate log10(A)
`MagDiff`(args, *kw)	Calculate the difference between two magnitudes; each magnitude is derived from a flux column.
`MagSelector`(args, *kw)	Selects points that have minMag < mag (AB) < maxMag.
`MatchingFlagSelector`(args, *kw)	The default flag selector to apply pre matching.
`MultiCriteriaDownselectVector`(args, *kw)	Get a vector from KeyedData, apply specified set of selectors with AND logic, and return the shorter Vector.
`MultiplyVector`(args, *kw)	Calculate (A*B)
`PerGroupStatistic`(args, *kw)	Compute per-group statistic values and return result as a vector with one element per group.
`RAcosDec`(args, *kw)	Construct a vector of RA*cos(Dec) in order to have commensurate values between RA and Dec.
`RaiseFromBaseVector`(args, *kw)	Calculate n**A
`RaiseToPowerVector`(args, *kw)	Calculate A**n
`RangeSelector`(args, *kw)	Selects rows within a range, inclusive of min/exclusive of max.
`ResidualWithPerGroupStatistic`(args, *kw)	Compute residual between individual elements of group and the per-group statistic.
`SkyObjectSelector`(args, *kw)	Selects sky objects in the given band(s).
`SkySourceSelector`(args, *kw)	Selects sky sources from sourceTables.
`SnSelector`(args, *kw)	Selects points that have S/N > threshold in the given flux type.
`SqrtVector`(args, *kw)	Calculate sqrt(A)
`SquareVector`(args, *kw)	Calculate A**2
`StarSelector`(args, *kw)	A selector that picks out stars based off of their extendedness values.
`SubtractVector`(args, *kw)	Calculate (A-B).
`ThresholdSelector`(args, *kw)	Return a mask corresponding to an applied threshold.
`UnknownSelector`(args, *kw)	A selector that picks out unclassified objects based off of their extendedness values.
`VectorSelector`(args, *kw)	Load a boolean vector from KeyedData and return it for use as a selector.
`VisitPlotFlagSelector`(args, *kw)	Select on a set of flags appropriate for making visit-level plots (i.e., using sourceTable_visit catalogs).

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