Hello, I have a function -- call it f() -- which takes a length-N 1D numpy array as an argument, and returns a length-N 1D array. I want to pass it the data in an N-D array, and obtain the N-D array of the result. I've thought about wrapping it as such: #python code: from my_module import f # takes a 1D array, raises an exception otherwise def f_wrap(A): A_1D = A.ravel() B = f(A_1D) return B.reshape(A.shape) #end code I expect A to be contiguous in memory, but I don't know if it will be C_CONTIGUOUS or F_CONTIGUOUS. Is there a way to implement this such that 1) the data in the arrays A and B_1D are not copied (memory issues) 2) the function f is only called once (speed issues)? The above implementation appears to copy data if A is fortran-ordered. Thanks for the help -Jake