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?
Thanks, Anne _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion