This content originally appeared on DEV Community and was authored by Kathan Vakharia
What is pickling?
In Layman's terms, Pickling is a process to convert your python objects into a file.
Technically speaking, it is a way to convert your well-known python objects like lists, sets, tuples, dictionaries, strings, pandas dataframes,... to a character stream. And that character stream contains all the information required to reconstruct that python object in another script.
❗Note Pickling ≠ Compression → They both are completely different!
For all those programming nerds ? out there, The process of converting an object to a file is also known as Serialization or Marshalling or Flattening.
Retrieving that object back from the file is known as DeSerialization or Unmarshalling or Unflattening.
Python provides the pickle module for performing serialization/deserialization.
Let's say you want to pickle a dictionary into a file,
- First of all, we need to import
pickle,
import pickle
#A Sacred Dictionary ?
sacred_dict = {"name":"Gaitonde", "location":"Chand ?" ,
"side-kick":"Bunty" }
Let's see how to use it.
Here are the simple steps,
- Open/Create the file in which you want to store this dictionary.
- Call
pickle.dump()by passing the dictionary and file object.
"""
w => Write mode
b => Binary mode
wb => Write in binary mode
"""
with open("sacred.pkl", "wb") as f:
pickle.dump(sacred_dict, f)
- On executing the last snippet "sacred.pkl" file will be created if not present which then will be filled with
sacred_dictin form of the character stream. - It will be placed in the current working directory. You can also pass the exact file path if you want it to be stored somewhere else!
That's it, You have stored your dictionary in a file! Easy Peasy ?
Now Let's see how to unpickle or retreive that dictionary back.
The .pkl extension is just a convention that helps us identify it as a pickle file.
To retrieve the object back, we have to use the pickle.load() method passing the file object of the pickled file,
"""
r => Read mode
b => Binary mode
rb => Read in Binary mode
"""
with open("sacred.pkl", "rb") as f:
retreived_dict = pickle.load(f)
#Let's print retreived_dict to confirm
print(retreived_dict)
#Output
#{'name': 'Gaitonde', 'location': 'Chand ?', 'side-kick': 'Bunty'}
Important Points about while Pickling and Unpickling
- It is protocol specific to python, don't try to unpickle a file pickled in python in some other programming language. Thus, cross-language compatibility is not guaranteed.
- Moreover, Unpickling a file that was pickled in a different version of Python may not always work properly, so you have to make sure that you're using the same version and perform an update if necessary.
- The pickle module is not secure. Only unpickle data you trust.
That doesn't mean, you should not use
picklemodule. Just make sure you trust the source of that pickle file.
This content originally appeared on DEV Community and was authored by Kathan Vakharia
Kathan Vakharia | Sciencx (2021-08-20T12:38:58+00:00) Pickling and Unpickling in Python?. Retrieved from https://www.scien.cx/2021/08/20/pickling-and-unpickling-in-python%f0%9f%a5%92/
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