This is documentation for an old release of NumPy (version 1.18). Read this page Search for this page in the documentation of the latest stable release (version 2.2).

numpy.geterr

numpy.geterr()

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.

See also

geterrcall, seterr, seterrcall

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.])