Posts Tagged With ‘numpy&8217

Error loading numpy arrays

If you received “Object arrays cannot be loaded when allow_pickle=False” while loading a numpy array using numpy.load() it is because numpy has changed the default loading behaviour since version 1.16.3. If you are using numpy version newer than this, at many places on internet it is advised to simply downgrade the numpy version. This is not the correct solution at all. From the numpy documentation:

allow_pickle : bool, optional
Allow loading pickled object arrays stored in npy files. Reasons for disallowing pickles include security, as loading pickled data can execute arbitrary code. If pickles are disallowed, loading object arrays will fail. Default: False
Changed in version 1.16.3: Made default False in response to CVE-2019-6446.

Thus, the correct solution is to pass allow_pickle=True to the numpy.load function. However, this should be used carefully and ideally only with the files you have previously saved yourself since picking in python can execute arbitrary code thereby compromising the system security.