numpy.geterr — NumPy v1.11 Manual (original) (raw)

numpy.geterr()[source]

Get the current way of handling floating-point errors.

Returns: res : dict 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-point exceptions, and the values define how these exceptions are handled.

Notes

For complete documentation of the types of floating-point exceptions and treatment options, see seterr.

Examples

np.geterr() {'over': 'warn', 'divide': 'warn', 'invalid': 'warn', 'under': 'ignore'} np.arange(3.) / np.arange(3.) array([ NaN, 1., 1.])

oldsettings = np.seterr(all='warn', over='raise') np.geterr() {'over': 'raise', 'divide': 'warn', 'invalid': 'warn', 'under': 'warn'} np.arange(3.) / np.arange(3.) main:1: RuntimeWarning: invalid value encountered in divide array([ NaN, 1., 1.])