On 15.12.2014 01:40, Stefan van der Walt wrote: > On 2014-12-15 02:23:18, Julian Taylor <[email protected]> wrote: >> already exists as np.errstate: >> >> with np.errstate(divide='ignore'): > > With 'ignore' a warning is still raised--is this by choice? > >>>> import numpy as np >>>> x = np.array([0, 1, 2.]) >>>> with np.errstate(divide='ignore'): > ... x/x > ... > __main__:2: RuntimeWarning: invalid value encountered in true_divide > array([ nan, 1., 1.]) > > > (I see it is documented that way as well, so I suspect so.) >
0./0. raises an invalid floating point exception, unlike e.g 1./0. which raises a zero division exception. NumPy just bubbles up what the processor does, which means it does not behave like Python which always raises ZeroDivision also for 0./0. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
