以以下格式将csv文件读入numpy数组

[数组（[0.33333333,0.75,0.5,1,0.
, 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.5 , 0.2 , 0.25 , 0.6 , 0.8,0.5]），数组（[1,0.25,1,1,0,0,0,0,1,， 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0,0,0,1,1,0.5,0.6,0.4,0.25]），数组（[1,0.25,0.5,0,0,0,0,0,0,1， 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0,0,0,1,0.4,0.75,0.4,0.2,1.]），数组（[0.666667,0.25,0.5,1,0.
, 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 1. , 0.4 , 0.25 , 0.4 , 0.6,0.75]），数组（[0.6667,0.5,1,1,0,， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.5 , 1. , 0.5 , 0.6 , 0.2,0.75]），数组（[0.33333,0.5,1,1,0,， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.5 , 0.2 , 0.75 , 0.4 , 0.8,0.75]），数组（[0.6667,0.5,0.5,1,0,， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.5 , 1. , 0.5 , 0.8 , 1,0.25]），数组（[0.33333333,0.25,1,1,0,， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 1. , 1. , 0.25 , 0.2 , 0.6,0.5]），数组（[0.6667,0.5,0.5,1,0,， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 1. , 0.8 , 0.75 , 1. , 数组（[1,0.5,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0， 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 1. , 0.8,1,0.4,0.2,1.]），数组（[0.33333333,0.25,1,1,1,0.]， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 1. , 0.6 , 0.25 , 0.2 , 0.4,0.5]），数组（[0.33333,0.75,0.5,0.5,0.）， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.5 , 1. , 0.25 , 0.8 , 0.4,0.75]），数组（[0.6667,0.75,0.5,0.5,0， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.5 , 0.6 , 0.25 , 0.4 , 0.2,0.75]），数组（[0.6667,0,1,1,0,， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.5 , 0.6 , 0.25 , 0.8 , 数组（[0.33333333,1,1,1,1,0,， 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 1. , 0.4 , 0.25 , 0.6 , 数组（[1,0.75,0.5,1,0,0,0,0,， 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , [0,0,0,0.5,0.6,0.25,1,1,0.5]）]

我在读这篇文章时得到了一个文件，但我想在

[[0.33333333,0.75,0.5,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0.2,0.25,0.6,0.8,0.5]，][/code>中使用那种格式

下面是我的代码，请查看。。
import csv
import numpy as nm
my_data = nm.genfromtxt('ta.csv',dtype=float,delimiter=',',usecols=range(4,31))

data=list(my_data)
#input_data=data
print(data)

In [322]: data
Out[322]: 
array([[120258560,         3],
       [167772160,       339],
       [118948100,         1],
       [ 50331904,         1]])

In [323]: list(data)
Out[323]: 
[array([120258560,         3]),
 array([167772160,       339]),
 array([118948100,         1]),
 array([50331904,        1])]

In [6]: x=np.array([[1,2],[3,4]])

In [7]: x
Out[7]: 
array([[1, 2],
       [3, 4]])

In [8]: list(x)
Out[8]: [array([1, 2]), array([3, 4])]

In [9]: x.tolist()
Out[9]: [[1, 2], [3, 4]]

In [10]: print x
[[1 2]
 [3 4]]

In [11]: str(x)
Out[11]: '[[1 2]\n [3 4]]'

In [12]: repr(x)
Out[12]: 'array([[1, 2],\n       [3, 4]])'

In [15]: y=np.array([('a',1),('b',2)],dtype='str,int')

In [16]: y
Out[16]: 
array([('', 1), ('', 2)], 
      dtype=[('f0', 'S'), ('f1', '<i4')])

In [17]: print y
[('', 1) ('', 2)]

In [18]: list(y)
Out[18]: [('', 1), ('', 2)]

In [19]: y.tolist()
Out[19]: [('', 1), ('', 2)]

In [23]: type(list(y)[0])
Out[23]: numpy.void

In [24]: type(y.tolist()[0])
Out[24]: tuple