在Numpy,如何压缩两个2-D阵列？

Question

例如,我有2个数组

a = array([[0, 1, 2, 3],
           [4, 5, 6, 7]])
b = array([[0, 1, 2, 3],
           [4, 5, 6, 7]])

我怎么能zip a和b这样我得到

c = array([[(0,0), (1,1), (2,2), (3,3)],
           [(4,4), (5,5), (6,6), (7,7)]])

？

Answer 1

你可以使用dstack:

>>> np.dstack((a,b))
array([[[0, 0],
        [1, 1],
        [2, 2],
        [3, 3]],

       [[4, 4],
        [5, 5],
        [6, 6],
        [7, 7]]])

如果你必须有元组:

>>> np.array(zip(a.ravel(),b.ravel()), dtype=('i4,i4')).reshape(a.shape)
array([[(0, 0), (1, 1), (2, 2), (3, 3)],
       [(4, 4), (5, 5), (6, 6), (7, 7)]],
      dtype=[('f0', '<i4'), ('f1', '<i4')])

对于Python 3+,您需要扩展zip迭代器对象.请注意,这非常低效:

>>> np.array(list(zip(a.ravel(),b.ravel())), dtype=('i4,i4')).reshape(a.shape)
array([[(0, 0), (1, 1), (2, 2), (3, 3)],
       [(4, 4), (5, 5), (6, 6), (7, 7)]],
      dtype=[('f0', '<i4'), ('f1', '<i4')])

Answer 2

np.array([zip(x,y) for x,y in zip(a,b)])