不同大小的数组的Numpy.save列表给出：TypeError：'_io.TextIOWrapper'对象不可下标

问题描述

这是我的代码：

import numpy as np

mylist = [np.arange(0,1,0.5),np.arange(0,2,0.5)]

np.save('mylist',mylist)

with open('mylist.npy') as last:
    print(lst[0])

我遇到了错误

    TypeError                                 Traceback (most recent call last)
<ipython-input-7-2461c8fce207> in <module>
      6 
      7 with open('mylist.npy') as lst:
--->  8     print(lst[0])

TypeError: '_io.TextIOWrapper' object is not subscriptable

我曾尝试根据其他类似的帖子来修改代码，例如包含lst = lst.read()或lst = lst.readlines()，但这会给我一个Unicode错误：

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte

有人有什么建议吗？谢谢！

解决方法

hpaulj评论说，解决方案是使用np.load而不是read或readlines。

import numpy as np

mylist = [np.arange(0,1,0.5),np.arange(0,2,0.5)]

np.save('mylist',mylist)

with open('mylist.npy') as last:
    lst = np.load(lst,allow_pickle = True)
    print(lst[0])