list(tuple)与numpy.array的相互转换_tuple转numpy

首先list(tuple)转换成numpy.array很简单,直接会变成二维数组.

import numpy as np
 
data=[(1.0, 10, 13, 5, 15),
 (2.0, 13, 17, 9, 20),
 (3.0, 17, 14, 11, 23),
 (4.0, 14, 15, 5, 19),
 (5.0, 15, 9, 8, 22),
 (6.0, 9, 15, 8, 16),
 (7.0, 1.0, 1.3, 0.5, 1.5),
 (8.0, 1.3, 1.7, 0.9, 2.0),
 (9.0, 1.7, 1.4, 1.1, 2.3),
 (10.0, 1.4, 1.5, 0.5, 1.9),
 (11.0, 1.5, 0.9, 0.8, 2.2),
 (12.0, 0.9, 1.5, 0.8, 1.6)]
npdata=np.array(data)
npdata
array([[ 1. , 10. , 13. ,  5. , 15. ],
       [ 2. , 13. , 17. ,  9. , 20. ],
       [ 3. , 17. , 14. , 11. , 23. ],
       [ 4. , 14. , 15. ,  5. , 19. ],
       [ 5. , 15. ,  9. ,  8. , 22. ],
       [ 6. ,  9. , 15. ,  8. , 16. ],
       [ 7. ,  1. ,  1.3,  0.5,  1.5],
       [ 8. ,  1.3,  1.7,  0.9,  2. ],
       [ 9. ,  1.7,  1.4,  1.1,  2.3],
       [10. ,  1.4,  1.5,  0.5,  1.9],
       [11. ,  1.5,  0.9,  0.8,  2.2],
       [12. ,  0.9,  1.5,  0.8,  1.6]])

反过来,就比较麻烦了,网上大多数提供的都是简单的,array到list的转换,用tolist().。但是会导致没有转换回原状态。如果想转换回原有的list（tuple）模式的数组，应该怎么办呢？

list(map(tuple,npdata))
Out:
[(1.0, 10.0, 13.0, 5.0, 15.0),
 (2.0, 13.0, 17.0, 9.0, 20.0),
 (3.0, 17.0, 14.0, 11.0, 23.0),
 (4.0, 14.0, 15.0, 5.0, 19.0),
 (5.0, 15.0, 9.0, 8.0, 22.0),
 (6.0, 9.0, 15.0, 8.0, 16.0),
 (7.0, 1.0, 1.3, 0.5, 1.5),
 (8.0, 1.3, 1.7, 0.9, 2.0),
 (9.0, 1.7, 1.4, 1.1, 2.3),
 (10.0, 1.4, 1.5, 0.5, 1.9),
 (11.0, 1.5, 0.9, 0.8, 2.2),
 (12.0, 0.9, 1.5, 0.8, 1.6)]

搞定了！就这样，list（map（tuple，npdata）））