Does Cython offer any reasonably easy and efficient way to iterate Numpy arrays as if they were flat?

Question

Let\'s say I want to implement Numpy\'s

x[:] += 1

in Cython. I could write

@cython.boundscheck(False)
@cython.wraparoundcheck(F         


        

Answer 1

You could try using the flat attribute of the ndarray, which provides an iterator over the flattened array object. It always iterates in C-major ordering, with the last index varying the fastest. Something like:

for i in range(x.size):
    x.flat[i] += 1