punpy.digital_effects_table.measurement_function.MeasurementFunction.propagate_specific#
- MeasurementFunction.propagate_specific(form, *args, expand=False, return_corr=False)[source]#
Function to propagate uncertainties for a specific uncertainty component.
- Parameters:
form (str) – name or type of uncertainty component
args (obsarray dataset(s)) – One or multiple digital effects tables with input quantities, defined with obsarray
expand (bool (optional)) – boolean to indicate whether the input quantities should be expanded/broadcasted to the shape of the measurand. Defaults to False.
return_corr (bool (optional)) – boolean to indicate whether the measurand error-correlation matrices should be returned. Defaults to True.
- Returns:
uncertainty on measurand for specific uncertainty component, error-correlation matrix of measurand for specific uncertainty component
- Return type:
tuple(numpy.ndarray, numpy.ndarray)