numpy 处理腌制数据的问题
我有大量数据保存为 .npy 文件。该数据的某些部分存储为字典列表，其中字典的每个值都是一个 numpy 数组。我使用 np.save 和 allow_pickle=True 存储所有这些。
最近，我尝试加载数据并收到以下错误： UnpicklingError: invalid load key, '\x00'. 我不知道为什么会发生这种情况，但我认为这可能是因为 pickling加载文件被中断。关于如何解决这个问题有什么想法吗？我希望至少能拿回一些数据。
编辑：文件位于： https://www.dropbox.com /s/x8le962wx724fpq/model.npy?dl=0
不幸的是，它几乎有 100 MB；这是我能找到的最小文件，我还没有弄清楚如何复制该错误。
I have a large amount of data saved as .npy files. Some portion of this data is stored as a list of dictionaries, where each value of the dictionary is a numpy array. I store all of these using np.save with allow_pickle=True.
Recently, I tried to load the data and received the following error: UnpicklingError: invalid load key, '\x00'. I have no idea why this is occurring, though I think it may be because the pickling load file was interrupted. Any ideas on how to solve this? I'm hoping I can at least get some of the data back.
EDIT: The file is here: https://www.dropbox.com/s/x8le962wx724fpq/model.npy?dl=0
Unfortunately, it's almost 100 MB; this is the smallest file I could find and I haven't worked out how to replicate the error yet.
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