(some) numpy functions take floats as valid axis argument. Is this a feature?
>>> np.ones((2,3)).sum(1.2) array([ 3., 3.]) >>> np.ones((2,3)).sum(1.99) array([ 3., 3.]) >>> np.mean((1.5,0.5)) 1.0 >>> np.mean(1.5,0.5) 1.5 Keith pointed out that scipy.stats.nanmean has a different behavior >>> stats.nanmean(np.ones((2,3)), axis= 1.2) Traceback (most recent call last): <...> TypeError: tuple indices must be integers see: http://projects.scipy.org/scipy/ticket/1165 What's the preferred behavior? Josef _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
