How to recover original indices for a flattened Numpy array?

Question

I\'ve got a multidimensional numpy array that I\'m trying to stick into a pandas data frame. I\'d like to flatten the array, and create a pandas index that reflects the pre-

Answer 1

Another possibility, although others maybe faster...

x,y,z = np.indices(A.shape)

df = pd.DataFrame(np.array([p.flatten() for p in [x,y,z,A]]).T
                  ,columns=['x','y','z',0])