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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
- python - Save Numpy Array using Pickle - Stack Overflow
But that shouldn't be surprising - you can't read a freshly opened write file It will be empty np save load is the usual pair for writing numpy arrays But pickle uses save to serialize arrays, and save uses pickle to serialize non-array objects (in the array) Resulting file sizes are similar Curiously in timings the pickle version is faster
- python multiprocessing : AttributeError: Cant pickle local object
Python can't pickle the closure, but all you really need is something that you can call that retains state The __call__ method makes a class instance callable, so use that
- python - Why do I get Pickle - EOFError: Ran out of input reading an . . .
However, if you're surprised that the pickle file is empty, it could be because you opened the filename through 'wb' or some other mode that could have over-written the file
- What causes the error _pickle. UnpicklingError: invalid load key,
Thus, to pickle a list, pickle will start to pickle the containing list, then pickle the first element… diving into the first element and pickling dependencies and sub-elements until the first element is serialized
- python - How to read pickle file? - Stack Overflow
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 what you want or an exception is generated by reaching the end of the file
- File extension naming: . p vs . pkl vs . pickle - Stack Overflow
The extension makes no difference because " The Pickle Protocol " runs every time That is to say whenever pickle dumps or pickle loads is run the objects are serialized un-serialized according to the pickle protocol (The pickle protocol is a serialization format) The pickle protocol is python specific (and there are several versions) It's only really designed for a user to re-use data
- How to save a list to a file and read it as a list type?
pickle vs json, which one should I use?: If you want to store something you know you're only ever going to use in the context of a python program, use pickle If you need to save data that isn't serializable by default (ie objects), save yourself the trouble and use pickle If you need a platform agnostic solution, use json
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