Question

我可以创建一个recarray并按名称访问其成员：

import numpy as np

n = 20
x = np.recarray((n,), dtype=[('x',int),('y',float),('label',object)])
x.x[:] = range(n)
x.y[:] = np.arange(n)*0.08
x.label[:] =  ['%d bottles of beer on the wall' % i for i in range(n)]

我可以按行索引访问数据，或遍历行：

>>> print x[3]
(3, 0.24, '3 bottles of beer on the wall')

但是如何迭代字段或在重新排列中获取k字段？

Answer 1

recarray为此目的使用field()方法。用你的例子......

>>> x.field(2)
... array(['0 bottles of beer on the wall', '1 bottles of beer on the wall',
       '2 bottles of beer on the wall', '3 bottles of beer on the wall',
       '4 bottles of beer on the wall', '5 bottles of beer on the wall',
       '6 bottles of beer on the wall', '7 bottles of beer on the wall',
       '8 bottles of beer on the wall', '9 bottles of beer on the wall',
       '10 bottles of beer on the wall', '11 bottles of beer on the wall',
       '12 bottles of beer on the wall', '13 bottles of beer on the wall',
       '14 bottles of beer on the wall', '15 bottles of beer on the wall',
       '16 bottles of beer on the wall', '17 bottles of beer on the wall',
       '18 bottles of beer on the wall', '19 bottles of beer on the wall'], dtype=object)

如何访问numpy recarray的字段#k？

1 个答案: