Hi list. For mi application, I would like to implement some new statistics functions over numpy arrays, such as truncated mean. Ideally this new function should have the same arguments than numpy.mean: axis, dtype and out. Is there a way of writing this function that doesn't imply writing it in C from scratch? I have read the documentation, but as far a I see ufuncs convert a N dimensional array into another and generalized ufuncs require fixed dimensions. numpy mean converts a N dimensional array either in a number or a N - 1 dimensional array. Regards, Sergio