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.
See also
Notes
For complete documentation of the types of floating-point exceptions and treatment options, see
seterr
.Examples
>>> 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