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Foo returns 3 foo = read_or_new_pickle(path=var.pickle, default=4) and foo still returns 3 Unpickling can run arbitrary code, and using pickle to transfer data between programs or store data between sessions is a security hole. Admittedly, the following is rather short and elegant, but too many things could go.

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I have looked through the information that the python documentation for pickle gives, but i'm still a little confused 137 i prefer json over pickle for my serialization What would be some sample code that would write a new file and then use pickle.

The following is an example of how you might write and read a pickle file

Note that if you keep appending pickle data to the file, you will need to continue reading from the file until you find. Question which is the correct way to install pickle package under python 3.9 in windows 10 Update there is no need to install pickle module as it comes already installed. Therefore, to unpickle multiple streams, you should repeatedly unpickle the file until you get an.

Np.save/load is the usual pair for writing numpy arrays But pickle uses save to serialize arrays,. I want to dump and load my sklearn trained model using pickle I'm in the same vote i have various serialized (100 to 300mb) pickle files that i would like to create/load into a single dictionary but it takes to much time to individually load would.

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With timeit on a dataframe of size 53330 rows x 21 columns, it's 115 ms to unpickle a file written with pickle.dump and only 3 ms to unpickle a file written with df.to_pickle

What would be some sample code that would write a new file and then use. But pickle uses save to serialize. I'm in the same vote i have various serialized (100 to 300mb) pickle files that i would like to create/load into a single dictionary but it takes to much time to individually load.

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