Currently, missing values associated with NaN data within datasets are not handled in DetectNodes (Priority) and DetectBlobs. It would be best to automatically look for the missing_values or _Fillvalues (if any) in NetCDF files and ignore/skip those values in the computation.
Currently, missing values associated with NaN data within datasets are not handled in DetectNodes (Priority) and DetectBlobs. It would be best to automatically look for the missing_values or _Fillvalues (if any) in NetCDF files and ignore/skip those values in the computation.