CountAction¶
- class lsst.analysis.tools.actions.scalar.CountAction(*args, **kw)¶
Bases:
ScalarAction
Performs count actions, with threshold-based filtering. The operator is specified as a string, for example, “lt”, “le”, “ge”, “gt”, “ne”, and “eq” for the mathematical operations <, <=, >=, >, !=, and == respectively. To count non-NaN values, only pass the column name as vector key. To count NaN values, pass threshold = nan (from math.nan). Optionally to configure from a YAML file, pass “threshold: !!float nan”. To compute the number of elements with values less than a given threshold, use op=”le”.
Attributes Summary
Operator name string.
Threshold to apply.
Key of Vector to count (
str
)Methods Summary
__call__
(data, **kwargs)Compute a scalar value from keyed data.
Return the schema an
AnalysisAction
expects to be present in the arguments supplied to the __call__ method.Attributes Documentation
- op¶
Operator name string. (
str
, default'ne'
)Allowed values:
'lt'
less than threshold
'le'
less than or equal to threshold
'ge'
greater than or equal to threshold
'ne'
not equal to a given value
'eq'
equal to a given value
'gt'
greater than threshold
'None'
Field is optional
Methods Documentation
- __call__(data: MutableMapping[str, ndarray[Any, dtype[ScalarType]] | Scalar | HealSparseMap | Tensor], **kwargs) Scalar ¶
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() Tensor]]] ¶
Return the schema an
AnalysisAction
expects to be present in the arguments supplied to the __call__ method.- Returns:
- result
KeyedDataSchema
The schema this action requires to be present when calling this action, keys are unformatted.
- result