lsst.analysis.tools¶

Contributing¶

lsst.analysis.tools is developed at https://github.com/lsst/analysis_tools. You can find Jira issues for this module under the analysis_tools component.

`AnalysisAction`	Base class interface for the various actions used in analysis tools.
`AnalysisMetric`	Specialized `AnalysisTool` for computing metrics.
`AnalysisPlot`	Specialized `AnalysisTool` for producing plots.
`AnalysisTool`	A tool which which calculates a single type of analysis on input data, though it may return more than one result.
`KeyedDataAction`	A `KeyedDataAction` is an `AnalysisAction` that returns `KeyedData` when called.
`MetricAction`	A `MetricAction` is an `AnalysisAction` that returns a `Measurement` or a `Mapping` of `str` to `Measurement` when called.
`PlotAction`	A `PlotAction` is an `AnalysisAction` that returns a `Figure` or a `Mapping` of `str` to `Figure` when called.
`Scalar`()	This is an interface only class, and is intended to abstract around all the various types of numbers used in Python.
`ScalarAction`	A `ScalarAction` is an `AnalysisAction` that returns a `Scalar` when called.
`VectorAction`	A `VectorAction` is an `AnalysisAction` that returns a `Vector` when called.

`nansigmaMad`(x[, axis, center, scale, nan_policy])	Compute the median absolute deviation of the data along the given axis.
`sigmaMad`(x[, axis, center, scale, nan_policy])	Compute the median absolute deviation of the data along the given axis.