punpy.digital_effects_table.measurement_function_utils.MeasurementFunctionUtils.calculate_unc_missingdim#
- MeasurementFunctionUtils.calculate_unc_missingdim(form, ds, var, ydims=None, sizes_dict=None, expand=False)[source]#
Function to extract uncertainties of given form on given variable from the given datasets when there are missing dimensions. With missing dimension, we here mean a dimension that is present in the measurand, but not in the input quantity being considered.
- Parameters:
form (str) – name or type of uncertainty component
ds (xarray.dataset) – given dataset
var (str) – given variable
ydims (list(str)) – list of dimensions of the measurand, in correct order.
sizes_dict (dict) – Dictionary with sizes of each of the dimensions of the measurand.
expand (bool) – boolean to indicate whether the input quantities should be expanded/broadcasted to the shape of the measurand.
- Returns:
uncertainty values for the given variable in the given dataset. returns None if uncertainty component is not present in dataset.
- Return type:
np.ndarray