Hi all, I was wondering what is the best way to compute the mean vector of a matrix. Currently I'm doing this: >>> data.shape (117027, 8) >>> mean = (numarray.add.reduce(data, axis=1))/(data.shape[1]) but maybe there is a faster way? cheers