scipy.special.
geterr#
- scipy.special.geterr()#
- Get the current way of handling special-function errors. - Returns:
- errdict
- A dictionary with keys “singular”, “underflow”, “overflow”, “slow”, “loss”, “no_result”, “domain”, “arg”, and “other”, whose values are from the strings “ignore”, “warn”, and “raise”. The keys represent possible special-function errors, and the values define how these errors are handled. 
 
 - See also - seterr
- set how special-function errors are handled 
- errstate
- context manager for special-function error handling 
- numpy.geterr
- similar numpy function for floating-point errors 
 - Notes - For complete documentation of the types of special-function errors and treatment options, see - seterr.- Examples - By default all errors are ignored. - >>> import scipy.special as sc >>> for key, value in sorted(sc.geterr().items()): ... print(f'{key}: {value}') ... arg: ignore domain: ignore loss: ignore memory: raise no_result: ignore other: ignore overflow: ignore singular: ignore slow: ignore underflow: ignore