numpy.geterr#

numpy.geterr()[source]#

Get the current way of handling floating-point errors.

Returns:

resdict

A dictionary with keys “divide”, “over”, “under”, and “invalid”,whose values are from the strings “ignore”, “print”, “log”, “warn”,“raise”, and “call”. The keys represent possible floating-pointexceptions, and the values define how these exceptions are handled.

See also

geterrcall,seterr,seterrcall

Notes

For complete documentation of the types of floating-point exceptions andtreatment options, seeseterr.

Concurrency note: seeFloating point error handling

Examples

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>>>importnumpyasnp>>>np.geterr(){'divide': 'warn', 'over': 'warn', 'under': 'ignore', 'invalid': 'warn'}>>>np.arange(3.)/np.arange(3.)array([nan,  1.,  1.])RuntimeWarning: invalid value encountered in divide

>>>oldsettings=np.seterr(all='warn',invalid='raise')>>>np.geterr(){'divide': 'warn', 'over': 'warn', 'under': 'warn', 'invalid': 'raise'}>>>np.arange(3.)/np.arange(3.)Traceback (most recent call last):...FloatingPointError:invalid value encountered in divide>>>oldsettings=np.seterr(**oldsettings)# restore original

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