Good point Tim, will check my code to see if I can drop this distinction
between 2 and 3 dimensions.
Thanks.
-Júlio
atleast_2d{T}(A::Union(Array{T,0},Array{T,1})) = reshape(A, size(A,1), 1)
atleast_2d{T}(A) = A
but in general I'm not sure why you'd need such a function. size(A,2) returns
1 even if A is one-dimensional, and A[3,1] works as well.
Best,
--Tim
On Friday, March 06, 2015 01:41:28 PM Júlio Hoffima
Hi,
What is the equivalent in Julia for numpy.atleast_2d and numpy.atleast_3d?
Or how would you add a ghost dimension to an array in Julia without calling
reshape(X, m, n, 1) explicitly?
-Júlio
