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.

Python API reference

lsst.analysis.tools Package

Classes

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

Variables

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.