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The following is an example of how you might write and read a pickle file Pickle.load(io.bytesio(b\x00)) and play with the binary) Note that if you keep appending pickle data to the file, you will need to continue reading from the file until you find what you want or an exception is generated by reaching the end of the file
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That is what the last function does. Admittedly, the following is rather short and elegant, but too many things could go wrong, and you'd have to catch everything (don't believe me Pickle is unsafe because it constructs arbitrary python objects by invoking arbitrary functions
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. The pickle module already imports _pickle if available From the pickle.py source code # use the faster _pickle if possible try
From _pickle import * except importerror Pickler, unpickler = _pickler, _unpickler and from the pickle module documentation The pickle module has an transparent optimizer (_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 rather cache.
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? Np.save/load is the usual pair for writing numpy arrays Resulting file sizes are similar
Curiously in timings the pickle version is faster. 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. Foo returns 3 foo = read_or_new_pickle(path=var.pickle, default=4) and foo still returns 3
