IqrHistAction¶
- class lsst.analysis.tools.actions.scalar.IqrHistAction(*args, **kw)¶
- Bases: - ScalarAction- Calculates the interquartile range of the given histogram data. - Attributes Summary - Key of frequency Vector ( - str)- Key of bin midpoints Vector ( - str)- Methods Summary - __call__(data, **kwargs)- Compute a scalar value from keyed data. - Return the schema an - AnalysisActionexpects to be present in the arguments supplied to the __call__ method.- histIqr(hist, bin_mid)- Calculates the interquartile range of a histogram with binned values - Attributes Documentation - Methods Documentation - __call__(data: MutableMapping[str, ndarray[tuple[int, ...], 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 - AnalysisActionexpects 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. 
 
- result
 
 - histIqr(hist, bin_mid)¶
- Calculates the interquartile range of a histogram with binned values - Parameters:
- histnumpy.ndarray
- Frequency array 
- bin_midnumpy.ndarray
- Bin midpoints array 
 
- hist
- Returns:
- iqrfloat
- Inter-quartile range of histogram with binned values 
 
- iqr