ValueError: Object arrays cannot be loaded when allow_pickle=False in Python
Dung Do Tien
Sep 04 2021
223
Hello Guys, In Python 3.8.2 I try to load a file by using numpy package.
Like this:
import numpy as np
np.load('/path/data/students.npy')
When run code I get an exception ValueError: Object arrays cannot be loaded when allow_pickle=False.
ValueError Traceback (most recent call last)
<ipython-input-37-1db66562b57b> in <module>
----> 1 np.load('tmp.npy')
~/venv/aep/lib/python3.8.2/site-packages/numpy/lib/npyio.py in load(file, mmap_mode, allow_pickle, fix_imports, encoding)
451 else:
452 return format.read_array(fid, allow_pickle=allow_pickle,
--> 453 pickle_kwargs=pickle_kwargs)
454 else:
455 # Try a pickle
~/venv/aep/lib/python3.8.2/site-packages/numpy/lib/format.py in read_array(fp, allow_pickle, pickle_kwargs)
720 # The array contained Python objects. We need to unpickle the data.
721 if not allow_pickle:
--> 722 raise ValueError("Object arrays cannot be loaded when "
723 "allow_pickle=False")
724 if pickle_kwargs is None:
ValueError: Object arrays cannot be loaded when allow_pickle=False
My environment:
Python: 3.8.2
Numpy: 1.16.3
Thanks for any suggestions.
Have 1 answer(s) found.
-
H2
Huỳnh Ngọc Thiện Sep 04 2021
Maybe you did not check parameter change by version. The
numpy.load()the behavior of the function has changed.load()method has two params arepath_fileandallow_pickle. With the old version allow_pickle has a default value for it isTrueand in the new versionallow_pickleset default tofalse.So to solve the issue ValueError: Object arrays cannot be loaded when allow_pickle=False you can do as below:
import numpy as np np.load('/path/data/students.npy', allow_pickle=True)I hope it solve for you.
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