Json&pickle Module of Python basics

JSON & Pickle Modules

1. JSON modules: Only for simple data types, is a cross-platform module.

   Let's say we have a piece of data that defines this:

   = {    ‘name‘:‘alex‘,    ‘age‘:22}

   For this simple data type, we can directly use theJsonFor serialization and deserialization of data:

   • Serialization dumps :

     import=open("test.text","wb")f.write(json.dumps(info))f.close()

     Similarly, we can use dump methods instead of dumps methods:
     You only need tof.write(json.dumps(info))
     Replace json.dump(info,f) it with.

   • Deserialization loads :

     import=open("test.txt","rb"= json.loads(f.read())

     Similarly, we can use load methods instead of loads methods:
     You only need tof.write(json.dumps(info))
     Replace json.dump(info,f) it with.

2. Pickle module: Capable of converting complex data types, is a unique data type of Python.

   Through the JSON module above we find that JSON can only pass some simple data types, if we want to info add a function?

   def sayhi(name):    print("hello2,"= {‘name‘:‘alex‘,‘age‘:22‘func‘:sayhi    }

   This time, we need to use our pickle module.
   • Serialization dumps :

     import=open("test.text","wb")f.write(json.pickle(info))f.close()

     Similarly, we can use dump methods instead of dumps methods:
     You only need tof.write(pickle.dumps(info))
     Replace pickle.dump(info,f) it with.

   • Deserialization loads :

     import pickledef sayhi(name):    print("hi"+=open("test.txt","rb"= pickle.loads(f.read())

     Similarly, we can use load methods instead of loads methods:
     You only need tof.write(picklejson.dumps(info))
     Replace pickle.dump(info,f) it with.

     It is important to note that the function needs to be redefined when deserializing the session sayhi() .

4. Precautions:

   When serializing and deserializing data using the JSON module and the Pickle module, it is a dump-to- load principle , which is to dump only one copy and load only one copy.

Json&pickle Module of Python basics