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Pickle module is used for serializing and deserializing the object Therefore, to unpickle multiple streams, you should repeatedly unpickle the file until you get an. If you simply do pickle.load you should be reading the first object serialized into the file (not the last one as you've written)
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I have looked through the information that the python documentation for pickle gives, but i'm still a little confused The extension makes no difference because the pickle protocol runs every time What would be some sample code that would write a new file and then use pickle.
For generalized summary, for almost all python versions, you never need to worry for installing 'pickle' as it comes already installed with the python interpreter
Pickle executes arbitrary code and is a security issue To use pickle you would have to open and file and might get issues that leads to bugs (e.g I wasn't aware of using b and it stopped working,. Pickle is unsafe because it constructs arbitrary python objects by invoking arbitrary functions
However, this is also gives it the power to serialize almost any python object, without any. This is way late, but just to chime in It appears that for very large dataframes, the write time (pickle.dump or df.to_pickle) is about the same regardless of method, but read time is. It simply means it can be serialized by the pickle module
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For a basic explanation of this, see what can be pickled and unpickled?
Pickling class instances provides more details, and. However, there's a package called klepto that abstracts the saving of objects to a dictionary interface, so you can choose to pickle objects and save them to a file (as shown below), or pickle.
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