Hi all, I recently tried to take a slice out of an array, transpose it, and then change it with the putmask function. It didn't work, because it ends up not being contiguous. This brings up two points: 1) why does the array passed as the first argument to putmask have to be contiguous? this can be a substantial limitation, I end up making copies when I have no other reason to. 2) the docs say that transpose "returns a new array..." This is confusing. I had assumed that "new array" meant a copy, when, in fact it is another array, but the data is a reference, much like a slice. We might want to make it a little more clear in the docs what that means. Another question I have is about how to match array shapes. I find I am often getting error when I try to do something (like putmask) with two arrays, one of shape (n,1) and one of shape (n,). It seems to me that what I want to do is unambiguous, so I should be able to do it. Is the reason I can't do this: a) The NumPy interface is designed to be unambiguous, and so it is important that the code never silently translate a rank one array into a rank two array where one of the dimensions is one (and vice-versa) or b) No one has gotten around to making the code smart enough to do this when it is unambigous.? -Thanks, -Chris -- Christopher Barker, Ph.D. ChrisHBarker@home.net --- --- --- http://members.home.net/barkerlohmann ---@@ -----@@ -----@@ ------@@@ ------@@@ ------@@@ Oil Spill Modeling ------ @ ------ @ ------ @ Water Resources Engineering ------- --------- -------- Coastal and Fluvial Hydrodynamics -------------------------------------- ------------------------------------------------------------------------