MedianHistAction

class lsst.analysis.tools.actions.scalar.MedianHistAction(*args, **kw)

Bases: ScalarAction

Calculates the median of the given histogram data.

Attributes Summary

histKey	Key of frequency Vector (str)
midKey	Key of bin midpoints Vector (str)

Methods Summary

__call__(data, **kwargs)	Compute a scalar value from keyed data.
getInputSchema()	Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.
histMedian(hist, bin_mid)	Calculates the median of a histogram with binned values

Attributes Documentation

histKey

Key of frequency Vector (str)

midKey

Key of bin midpoints Vector (str)

Methods Documentation

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

Compute a scalar value from keyed data.

Parameters:

data

Keyed data to compute a value from.

kwargs

Additional keyword arguments.

Returns:

A scalar value.

getInputSchema() → Mapping]]]

Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.

Returns:

resultKeyedDataSchema

The schema this action requires to be present when calling this action, keys are unformatted.

histMedian(hist, bin_mid)

Calculates the median of a histogram with binned values

Parameters:

histnumpy.ndarray

Frequency array

bin_midnumpy.ndarray

Bin midpoints array

Returns:

medianfloat

Median of histogram with binned values