Python data storage: using pickle module

The struggling rabbit of florist 2020-11-12 22:03:06
python data storage using pickle


Python data storage :pickle How to use the module

In machine learning , We often need to store trained models , In this way, the model is directly read out when making a decision , Instead of retraining the model , This saves a lot of time .Python Provided pickle The module solves this problem very well , It can serialize objects and save them to disk , And read it out as needed , Any object can perform serialization operations .

Be careful :pickle No use pip install , yes python The basic library of

Pickle The most commonly used function in a module is :

(1)pickle.dump(obj, file, [,protocol])

Function functions : take obj Object serialization is stored in the opened file in .

Parameters on :

  • obj: Want to serialize obj object .
  • file: File name .
  • protocol: The protocol used for serialization . If this item omits , The default is 0. If it's negative or HIGHEST_PROTOCOL, Use the highest protocol version .

(2)pickle.load(file)

Function functions : take file Object serialization read in .

Parameters on :

  • file: File name .

(3)pickle.dumps(obj[, protocol])

Function functions : take obj Object serialization to string form , Not in a file .

Parameters on :

  • obj: Want to serialize obj object .
  • protocal: If this item omits , The default is 0. If it's negative or HIGHEST_PROTOCOL, Use the highest protocol version .

(4)pickle.loads(string)

Function functions : from string Read before serialization obj object .

Parameters on :

  • string: File name .

【 notes 】 dump() And load() comparison dumps() and loads() There is another ability dump() Function can serialize and store several objects in the same file one by one , Then call load() To deserialize and read these objects in the same order .

Participation of this paper Tencent cloud media sharing plan , You are welcome to join us , share .

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