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Resulting file sizes are similar. 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 Versions > 0 are binary and the highest one available depends on what version of python is being used. 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. The default also depends on python version. 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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Python can't pickle the closure, but all you really need is something that you can call that retains state. Curiously in timings the pickle version is faster. What have you tried so far? Im going to assume that by pkl you mean a python pickle file, which can contain just about anything, what does the data in it look like?
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The extension makes no difference because the pickle protocol runs every time. Resulting file sizes are similar. Python can't pickle the closure, but all you really need is something that you can call that retains state. The following is an example of how you might write and read a pickle.
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Python can't pickle the closure, but all you really need is something that you can call that retains state. Pickle vs json, which one should i use?: Note that if you keep appending pickle data to the file, you will need to continue reading from the file until you find.
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What have you tried so far? Versions > 0 are binary and the highest one available depends on what version of python is being used. (the pickle protocol is a serialization format) the pickle protocol is python specific (and there are several versions). Np.save/load is the usual pair for writing.
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The __call__ method makes a class instance callable, so use that Np.save/load is the usual pair for writing numpy arrays. Pickle vs json, which one should i use?: Versions > 0 are binary and the highest one available depends on what version of python is being used. The extension makes.
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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. The default also depends on python version. Curiously in timings the pickle.
Curiously In Timings The Pickle Version Is Faster.
The __call__ method makes a class instance callable, so use that 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. The default also depends on python version. Np.save/load is the usual pair for writing numpy arrays.
Im Going To Assume That By Pkl You Mean A Python Pickle File, Which Can Contain Just About Anything, What Does The Data In It Look Like?
What have you tried so far? The extension makes no difference because the pickle protocol runs every time. The following is an example of how you might write and read a pickle file. Resulting file sizes are similar.
Python Can't Pickle The Closure, But All You Really Need Is Something That You Can Call That Retains State.
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 (the pickle protocol is a serialization format) the pickle protocol is python specific (and there are several versions). Pickle vs json, which one should i use?: Versions > 0 are binary and the highest one available depends on what version of python is being used.