相关疑难解决方法(0)

我正在尝试将二维数组转换为带有命名字段的结构化数组.我希望2D数组中的每一行都是结构化数组中的新记录.不幸的是,我所尝试的一切都没有按照我的预期进行.

我开始时:

>>> myarray = numpy.array([("Hello",2.5,3),("World",3.6,2)])
>>> print myarray
[['Hello' '2.5' '3']
 ['World' '3.6' '2']]

我想转换为看起来像这样的东西:

>>> newarray = numpy.array([("Hello",2.5,3),("World",3.6,2)], dtype=[("Col1","S8"),("Col2","f8"),("Col3","i8")])
>>> print newarray
[('Hello', 2.5, 3L) ('World', 3.6000000000000001, 2L)]

我尝试过的:

>>> newarray = myarray.astype([("Col1","S8"),("Col2","f8"),("Col3","i8")])
>>> print newarray
[[('Hello', 0.0, 0L) ('2.5', 0.0, 0L) ('3', 0.0, 0L)]
 [('World', 0.0, 0L) ('3.6', 0.0, 0L) ('2', 0.0, 0L)]]

>>> newarray = numpy.array(myarray, dtype=[("Col1","S8"),("Col2","f8"),("Col3","i8")])
>>> print newarray
[[('Hello', 0.0, 0L) ('2.5', 0.0, 0L) ('3', 0.0, 0L)]
 [('World', 0.0, 0L) ('3.6', 0.0, 0L) ('2', …