I've bodged my way through my median problems (see previous postings). Now I need to take a z-score of an array that might contain nans. At the moment, if the array, which is 7000 elements, contains 1 nan or more, all the results come out as nan.
My other problem is that my array is indexed from somewhere else - position 0 holds the value for a particular id, position 1 holds the value for a particular id and so on, so if I remove the nans, all the indices are messed up. Can anybody suggest a sensible fix for this problem? I know I should really be using masked arrays, but I can't seem to find a masked-array version of zs. Is there one? Peter _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
