Anne Archibald wrote: > Hi, > > I was just going through tidying up the documentation for all the many > functions in numpy that compute standard deviations or variances (the > functions, the methods, the methods on matrices, the methods on > maskedarrays, all needed their docstrings updated in approximately the > same way). I noticed that maskedarrays seem to have the functions > "stdu" and "varu", for computing the unbiased standard deviation and > variance (where one divides by N-1 rather than N). These are now > available, I think, via std and var with ddof=1. More seriously, they > still provide the peculiar older definition of var, where > varu([1,1.j,-1,-1.j])==0. I don't use maskedarrays, and in fact I > haven't been keeping track of what's going on with the two different > implementations. So: what should be done about stdu and varu? Do the > two implementations both need their definitions of std and var > examined? >
Yes, the masked arrays should be changed and stdu and varu eliminated. -Travis _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
