The serialization module of the Python module

Serialization of

"""     Sequence--string    serialization--Other data types are converted to string data type    deserialization--strings converted to other data types "" " 

JSON module

"""     JSON five-star Comment  number string list dictionary tuple        Advantages: Common serialization Format        disadvantage: Only a very small part of the data type----string "" "

　　

1,dumps and loads

ImportJSON#dumps and loads manipulating the data in memoryDIC = {'K1':'v1'}Print(Type (DIC), DIC)#<class ' dict ' > {' K1 ': ' v1 '}Str_d = Json.dumps (DIC)#Serialization ofPrint(Type (str_d), str_d)#<class ' str ' > {"K1": "v1"}dic_l = Json.loads (str_d)#deserializationPrint(Type (dic_l), dic_l)#<class ' dict ' > {' K1 ': ' v1 '}

2,dump and load

#dump and load manipulate the data in the file to serialize the Chinese words, to modify the default parameters Ensure_ascii=falseDIC = {'K1':'v1'}f= Open ('json_test','W', encoding='Utf-8') Json.dump (DIC, F)#The contents of the file serialization are {"K1": "v1"}F.close () F= Open ('json_test', encoding='Utf-8')#load can only deserialize the contents of a one-time serialization into a file, and if multiple dump,load will be an error! RET =json.load (f)Print(ret)#{' K1 ': ' v1 '}F.close ()

JSON usage of some parameters

DIC = {'name':'蔠 Valerian',' Age': 25,'Hobby':'Read'}str_d= Json.dumps (DIC)#Serialization ofSTR_D1 = Json.dumps (dic, Ensure_ascii=false)#serialization Chinese to be able to read the content, to modify the parameters Ensure_ascii=falsePrint(Str_d)#{"Age": +, "name": "\u8520\u7f2c\u8349", "hobby": "Read"}Print(STR_D1)#{"Hobby": "read", "name": "蔠 Valerian", "Age":#serialization of special formatsDIC = {'name':'蔠 Valerian',' Age': 25,'Hobby':'Read'}str_d= Json.dumps (dic, Sort_keys=true, indent=4, separators= (',',':'), ensure_ascii=False)Print(str_d)#Print Content:"""{"Age": +, "hobby": "read", "name": "蔠 Valerian"}"""

　　

Pickle Module

""" The pickle is serialized as a   bytes Type        advantage: All data types in Python--string        disadvantage: The serialized content only Python can recognize, serialization and deserialization need the same environment. """

The Pickle method is the same as the JSON method

ImportPickle#Pickle is the same as JSON, the difference is that the value after serialization is bytes typeDIC = {'K1':'v1','K2':'v2'}pd_str=pickle.dumps (DIC)Print(Pickle)#serialized Print bytes TypePl_str =pickle.loads (PD_STR)Print(PL_STR)#deserializationDIC = {'K1':'v1','K2':'v2'}f= Open ('pickle_test','WB') Pickle.dump (DIC, F)#serialization is written to the bytes typeF.close () F= Open ('pickle_test','RB') ret= Pickle.load (f)#deserializationPrint(ret)

Shelve module

"""     shelve the        existence        of a serialized handle using a handle directly, very convenient " " "

Shelve has only the open method, the open file returns a serialized handle, and the operation handle is used to complete the serialization operation.

ImportSHELVEF= Shelve.open ('shelve_test')#generating a serialized handlef['Key'] = {'K1':'v1','K2':'v2'}#manipulating handles for file serialization writesF.close () F= Shelve.open ('shelve_test')Print(f['Key'])#deserialization value, key must exist, otherwise errorF.close ()

Shelve the use of writeback parameters

f = Shelve.open ('shelve_test', Writeback=false)#parameter Writeback=false data modification does not take effectf['Key']['K3'] ='v3'  #The modification did not take effectF.close () F= Shelve.open ('shelve_test')Print(f['Key'])#{' K2 ': ' v2 ', ' K1 ': ' v1 '}F.close () F= Shelve.open ('shelve_test', writeback=True) f['Key']['K3'] ='v3'  #changes take effectF.close () F= Shelve.open ('shelve_test')Print(f['Key'])#{' K3 ': ' V3 ', ' K2 ': ' v2 ', ' K1 ': ' v1 '}F.close ()

The serialization module of the Python module