What should I do if the '__builtin__' module is not found when loading the Pickle file in Python 3.6?

When loading a Pickle file in Python 3.6 environment, I encountered a solution to ModuleNotFoundError: No module named '__builtin__' error.

In Python data processing, the Pickle module is often used to serialize and deserialize objects. However, the above error may occur when loading the .pkl file. This article analyzes this problem and provides solutions.

Problem description:

In Python 3.6.12 environment, when trying to load the m30k_deen_shr.pkl file, ModuleNotFoundError: No module named '__builtin__' error occurred. The project directory structure is correct, but running the test.py file fails.

The root cause of the problem and solutions:

The error message indicates that the program is trying to access the __builtin__ module in Python 2.x, which has been renamed builtins in Python 3.x. Therefore, the m30k_deen_shr.pkl file is likely generated with Python 2.x.

Solution: Regenerate the m30k_deen_shr.pkl file. Specific steps:

1. Check the code that generates the .pkl file: Confirm whether the code uses Python 2.x.
2. Rerun the code using Python 3.x: Re-execute the code that generates the .pkl file using Python 3.x version.
3. Use the correct file writing mode: When using pickle.dump() , be sure to use the 'wb' binary writing mode instead of the 'w' text writing mode. The 'wb' pattern can better handle the binary data serialized by Pickle and avoid potential newlines and other problems.

Through the above steps, the errors related to the __builtin__ module can be avoided and the .pkl file can be successfully loaded.

The above is the detailed content of What should I do if the '__builtin__' module is not found when loading the Pickle file in Python 3.6?. For more information, please follow other related articles on the PHP Chinese website!