numpy.geterr

numpy.geterr()

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.

See also

geterrcall, seterr, seterrcall

Notes

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

Examples

>>> np.geterr()  # default is all set to 'ignore'
{'over': 'ignore', 'divide': 'ignore', 'invalid': 'ignore',
'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.])