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 errorsand treatment options, seeseterr.

Examples

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By default all errors are ignored.

>>>importscipy.specialassc>>>forkey,valueinsorted(sc.geterr().items()):...print(f'{key}:{value}')...arg: ignoredomain: ignoreloss: ignorememory: raiseno_result: ignoreother: ignoreoverflow: ignoresingular: ignoreslow: ignoreunderflow: ignore

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