On Sun, Nov 21, 2010 at 19:49, Keith Goodman <[email protected]> wrote:
> But this sample gives a difference: > >>> a = np.random.rand(100) >>> a.var() > 0.080232196646619805 >>> var(a) > 0.080232196646619791 > > As you know, I'm trying to make a drop-in replacement for > scipy.stats.nanstd. Maybe I'll have to add an asterisk to the drop-in > part. Either that, or suck it up and store the damn mean. The difference is less than eps. Quite possibly, the one-pass version is even closer to the true value than the two-pass version. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
