numpy.geterr — NumPy v2.2 Manual (original) (raw)

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

import numpy as np 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