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

def ndarray_to_indexed_2d(data):
    idx = np.column_stack(np.unravel_index(np.arange(np.product(data.shape[:-1])), data.shape[:-1]))
    data2d = np.hstack((idx, data.reshape(np.product(data.shape[:-1]), data.shape[-1])))
    return data2d