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- pickle - Understanding Pickling in Python - Stack Overflow
The pickle module implements a fundamental, but powerful algorithm for serializing and de-serializing a Python object structure Pickling - is the process whereby a Python object hierarchy is converted into a byte stream, and Unpickling - is the inverse operation, whereby a byte stream is converted back into an object hierarchy Pickling (and unpickling) is alternatively known as serialization
- Saving and loading objects and using pickle - Stack Overflow
It seems you want to save your class instances across sessions, and using pickle is a decent way to do this 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 the objects and save them to a database, or
- python - Pickle vs cPickle (?) in python3 - Stack Overflow
There used to be cPickle in python2 7 However, I don't see it anymore in python3 pickle What ever happened to that module, did it get merged into the regular pickle module?
- How can I use pickle to save a dict (or any other Python object)?
I have looked through the information that the Python documentation for pickle gives, but I'm still a little confused What would be some sample code that would write a new file and then use pickle
- python - How to use append with pickle? - Stack Overflow
What makes you think that two appended pickle streams will somehow be magically accepted as one new object? If your data is too big to fit into memory, use a database (you have many choices, dbm ins't the only thing out there)
- python - Saving an Object (Data persistence) - Stack Overflow
pickle can read and write files in several different, Python-specific, formats, called protocols as described in the documentation, "Protocol version 0" is ASCII and therefore "human-readable"
- Why do I get Pickle - EOFError: Ran out of input reading an empty file?
31 It is very likely that the pickled file is empty It is surprisingly easy to overwrite a pickle file if you're copying and pasting code For example the following writes a pickle file:
- Whats the fastest way to pickle a pandas DataFrame?
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 much faster for files created with df to_pickle 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
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