这种方法怎么样?
# extract alternative rows starting from 0th row (1st row)
In [18]: A[0::2]
Out[18]:
array([[ 1, 2, 3, 4],
[ 9, 10, 11, 12],
[17, 18, 19, 20]])
# and then flatten to 1D array
In [19]: A[0::2].flatten()
Out[19]: array([ 1, 2, 3, 4, 9, 10, 11, 12, 17, 18, 19, 20])
# extract alternative rows starting from 2nd row
In [17]: A[1::2]
Out[17]:
array([[ 5, 6, 7, 8],
[13, 14, 15, 16],
[21, 22, 23, 24]])
# and then flatten to 1D array
In [20]: A[1::2].flatten()
Out[20]: array([ 5, 6, 7, 8, 13, 14, 15, 16, 21, 22, 23, 24])
# to get 2D, just put them in `np.vstack` (in the order you want the final array)
In [21]: np.vstack((A[0::2].flatten(), A[1::2].flatten()))
Out[21]:
array([[ 1, 2, 3, 4, 9, 10, 11, 12, 17, 18, 19, 20],
[ 5, 6, 7, 8, 13, 14, 15, 16, 21, 22, 23, 24]])