Cannot load file containing pickled data when allow_pickle=False
时间: 2024-05-15 22:19:55 浏览: 19
As an AI language model, I cannot reproduce the error without the complete error message and the code. However, I can provide some general information on the error message "Cannot load file containing pickled data when allow_pickle=False".
This error message occurs when you try to load a file that contains pickled data using the `numpy.load()` function with `allow_pickle=False` argument. By default, `allow_pickle` is set to `True` which allows loading pickled objects. However, it is recommended to set `allow_pickle=False` to avoid security risks.
Here are some possible solutions to this error:
1. Set `allow_pickle=True` when loading the file:
```python
import numpy as np
# Load the file with allow_pickle=True
data = np.load('file.npy', allow_pickle=True)
```
2. Use a different file format that does not use pickling, such as CSV or JSON.
3. If you need to use pickling, consider using a more secure serialization protocol such as the `pickle` module with the `HIGHEST_PROTOCOL` option:
```python
import pickle
# Serialize data using the highest protocol
data = {'key': 'value'}
with open('file.pkl', 'wb') as f:
pickle.dump(data, f, protocol=pickle.HIGHEST_PROTOCOL)
# Load the file with pickle.load()
with open('file.pkl', 'rb') as f:
data = pickle.load(f)
```
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