NumPy

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-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

>>> from collections import OrderedDict
>>> sorted(np.geterr().items())
[('divide', 'warn'), ('invalid', 'warn'), ('over', 'warn'), ('under', 'ignore')]
>>> np.arange(3.) / np.arange(3.)
array([nan,  1.,  1.])
>>> oldsettings = np.seterr(all='warn', over='raise')
>>> OrderedDict(sorted(np.geterr().items()))
OrderedDict([('divide', 'warn'), ('invalid', 'warn'), ('over', 'raise'), ('under', 'warn')])
>>> np.arange(3.) / np.arange(3.)
array([nan,  1.,  1.])

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