I have a problem that I can't figure otu a non-kludgey way to solve: Given a (MXN) array, a, I want to compute the minimum value in each row, excluding the values that are zero. example: for this array, a: [[10, 0, 5, 0,] [ 0, 0, 0, 0,] [ 0, 5,15, 0,] [ 0, 0, 0, 0,] [ 0, 3, 1,25,] [ 0, 0, 0, 0,] [ 4, 7, 2,12,] [ 0, 0, 0, 0,]] I want: [[5,] [0,] [5,] [0,] [1,] [0,] [2,] [0,]] what I want is minimum.reduce(a,1), except that the zeros would be ignored. At first glace, Masked arrays seemed the perfect option (as that's what the zero means, no real data), but there doesn't seem to be a minimum.reduce() in MA. By the way, what is the downside to Masked Arrays? they seem to be a really powerful option. Is there any performance hit to using a masked array over a regular onw if there is no mask? If not, would it make sense to move toward just using Masked arrays for everything? thanks, -Chris -- Christopher Barker, Ph.D. ChrisHBarker@home.net --- --- --- http://members.home.net/barkerlohmann ---@@ -----@@ -----@@ ------@@@ ------@@@ ------@@@ Oil Spill Modeling ------ @ ------ @ ------ @ Water Resources Engineering ------- --------- -------- Coastal and Fluvial Hydrodynamics -------------------------------------- ------------------------------------------------------------------------