Julia Reverse N-dimensional arrays

Question

In Python, Numpy arrays can be reversed using the standard [::-1] i.e.

A = np.diag(np.arange(1,3)) 
A[::, ::-1] 
A[::-1] 
A[::-1, ::-1]

Julia does not support [::-1] and the reverse method only works on 1D arrays and only 1D columns (where as rows are 2D by default).

Is there an alternative I'm missing?

Answer 1

Try the following, which is essentially the same as the numpy version:

julia> X = rand(3,3)
3x3 Array{Float64,2}:
 0.782622  0.996359  0.335781
 0.719058  0.188848  0.985693
 0.455355  0.910717  0.870187

julia> X[end:-1:1,end:-1:1]
3x3 Array{Float64,2}:
 0.870187  0.910717  0.455355
 0.985693  0.188848  0.719058
 0.335781  0.996359  0.782622