ValueError: Object arrays cannot be loaded when allow_pickle=False

文章目录

• • 问题
  • 解决方法1：allow_pickle=True
  • 解决方法2：降低numpy版本
  • • 错误原因：python和numpy版本不兼容

问题

Traceback (most recent call last):

File "D:\project\test_st\retrieval\read_npy.py", line 4, in

data = np.load('mosi0__level_all__pre_vision.npy')

File "D:\Anaconda\anaconda3\envs\d2l\lib\site-packages\numpy\lib\npyio.py", line 456, in load

return format.read_array(fid, allow_pickle=allow_pickle,

File "D:\Anaconda\anaconda3\envs\d2l\lib\site-packages\numpy\lib\format.py", line 795, in read_array

raise ValueError("Object arrays cannot be loaded when "

ValueError: Object arrays cannot be loaded when allow_pickle=False

自从1.16.3版本，allow_pickle=False是默认的，要么allow_pickle=True，要么降低numpy版本

解决方法1：allow_pickle=True

将代码修改为allow_pickle=True

import numpy as np
np.load(file, allow_pickle=True)

解决方法2：降低numpy版本

降低numpy<1.16.3版本，但需要注意你的python版本为2.7和3.5-3.7

pip install numpy==1.16.2

Numpy官网：https://numpy.org/doc/stable/reference/generated/numpy.load.html

错误原因：python和numpy版本不兼容

查看我python的版本和numpy的版本

numpy=1.16.1和1.16.2，与我环境中的python=3.9不兼容，会出现以下错误：

ModuleNotFoundError: No module named 'distutils.msvccompiler'

end of output

    - `git clean -xdf` (cleans all files)
    - `git clean -Xdf` (cleans all versioned files, doesn't touch
                        files that aren't checked into the git repo)

  Add `--force` to your command to use it anyway if you must (unsupported).

  [end of output]

note: This error originates from a subprocess, and is likely not a

problem with pip. ERROR: Failed cleaning build dir for numpy Failed

to build numpy ERROR: ERROR: Failed to build installable wheels for

some pyproject.toml based projects (numpy)

会出现下面的提醒与报错：