您可以使用
numpy.column_stack和
numpy.ndarray.flatten：
In [12]: numpy.column_stack((A, A)).flatten() Out[12]: array([1, 1, 2, 2, 3, 3, 4, 4, 5, 5])
时序比较：
In [27]: A = numpy.array([1, 2, 3, 4, 5]*1000)In [28]: %timeit numpy.column_stack((A, A)).flatten()10000 loops, best of 3: 44.7 µs per loopIn [29]: %timeit numpy.repeat(A, 2) 10000 loops, best of 3: 104 µs per loopIn [30]: %timeit numpy.tile(A,2).reshape(2,-1).flatten('F') 10000 loops, best of 3: 129 µs per loop
