CalcBinnedStatsAction

class lsst.analysis.tools.actions.vector.CalcBinnedStatsAction(*args, **kw)

Bases: KeyedDataAction

Attributes Summary

key_vector	Vector on which to compute statistics (str)
name_count
name_mask
name_median
name_prefix	Field name to append stat names to (str, default '')
name_select_maximum
name_select_median
name_select_minimum
name_sigmaMad
name_suffix	Field name to append to stat names (str, default '')
return_minmax	Whether to return the bin minimum and maximum (bool, default True)
selector_range	Range selector (RangeSelector, default <class 'lsst.analysis.tools.actions.vector.selectors.RangeSelector'>)

Methods Summary

__call__(data, **kwargs)	Call self as a function.
getInputSchema(**kwargs)	Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.
getOutputSchema()	Return the schema an AnalysisAction will produce, if the __call__ method returns KeyedData, otherwise this may return None.

Attributes Documentation

key_vector

Vector on which to compute statistics (str)

name_count

name_mask

name_median

name_prefix

Field name to append stat names to (str, default '')

name_select_maximum

name_select_median

name_select_minimum

name_sigmaMad

name_suffix

Field name to append to stat names (str, default '')

return_minmax

Whether to return the bin minimum and maximum (bool, default True)

selector_range

Range selector (RangeSelector, default <class 'lsst.analysis.tools.actions.vector.selectors.RangeSelector'>)

Methods Documentation

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

Call self as a function.

getInputSchema(**kwargs) → Tensor]]]

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

Returns:

resultKeyedDataSchema

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

getOutputSchema() → Tensor]]]

Return the schema an AnalysisAction will produce, if the __call__ method returns KeyedData, otherwise this may return None.

Returns:

resultKeyedDataSchema or None

The schema this action will produce when returning from call. This will be unformatted if any templates are present. Should return None if action does not return KeyedData.