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The following is an example of how you might write and read a pickle file 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. 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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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 Np.save/load is the usual pair for writing numpy arrays
Resulting file sizes are similar
Curiously in timings the pickle version is faster. Therefore, to unpickle multiple streams, you should repeatedly unpickle the file until you get an eoferror: 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 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. Pickle.dump(d, pfile, protocol=pickle.highest_protocol) pickle.highest_protocol will always be the right version for the current python version Because this is a binary format, make sure to use 'wb' as the file mode Python 3 no longer distinguishes between cpickle and pickle, always use pickle when using python 3.
