pickle to json

ImportJsonz= ['1', 23,]#data = Json.dumps (z)#single quotation marks are all processed into double quotes, and all contents are converted into stringsPrint(data)#["1",%]Print(Type (data))#DiC= Json.loads (data)#the string is processed into the corresponding data typePrint(DIC)#[' 1 ', +]Print(Type (DIC))##Dunms and DUNM differences can only be used for file operations#DUNMS Usedata = [A.]f= Open ('Test','W') Data=json.dumps (data) f.write (data) f.close ()#DUNM used to add a write operation to y

The results of #json module output are JSON strings that can be recognized by other languagesImport JSONA = {' name ': ' Alex '} #------->{"name": "Alex"}-----------> ' {"name": "Alex"} 'b = 9 #----------> ' 9 'c = ' Hello ' #--------> "Hello"---------> ' "Hello"D = [11,22] #------' [11,22] 'Print (Json.dumps (a)) #将对象封装成json字符串A = {' name ': ' Liuhaiquan '}

JSON, pickle module explanationSee my previous article: http://www.cnblogs.com/itfat/p/7456054.htmlShelve module explanation (super easy to use ~! ）The JSON and pickle modules allow only dump and load once, while shelve can support multiple times.The shelve module is a simple k,v module that persists memory data throug

This is a two module for serializationJSON: Used to convert between string and Python data typesPickle: Converting between Python-specific types and Python data typesThe JSON module provides four functions: dumps dump loads loadThe Pickle module provides four functions: dumps dump loads loadPickle instances: 1:import Pickle 2:data = {' K1 ': 123, ' K2 ': ' Hell

Transfer objects from one place to another the program is more maintainable ===json==provides four functions dumps dump load loads dumps loads network transfer processing string #Import JSON#d={' k ': ' V ', ' K2 ': [All-in-all]}#Print (D,type (d)) #{' K ': ' V ', ' K2 ': [1, 2, 3]} ##Sd=json.dumps (d)#Print (Sd,type (SD)) # serialization {"K": "V", "K2": [1, 2, 3]} ###s= ' {"K": "V", "K2": [[i]} '##

Two modules for serialization JSON, used to convert between string and Python data types Pickle for conversion between Python-specific types and Python data types The JSON module provides four functions: dumps, dump, loads, loadThe Pickle module provides four functions: dumps, dump, loads, load"""Pyth

JSON-Common Information Interchange format for all languagesJson.dumps () Converts a list, Dict dictionary, tuple, function, and other objects into a file that can be stored in a character formatJson.dump (Data object name, object that has been opened in writing) is written directly, omitting f.write () notationThis process is called "serialization."The Json.loads ("Read File object") will read out the list of data types, dictionaries, functions, etc.

First, serializationPurpose: To transform data from memory into a process that can be stored or transmittedCause: The program is executed in a series of state changes, this series of "state" in the programming language in the various data structures stored in memory, and memory can not permanently save data, power outage or restart, in memory about the time of the data will disappear all; In order to persist the in-memory data to a file, it is necessary to serialize the in-memory data to be writ

#JSON pickle shelve module serialization#JSON modules are used for data transfer between different languages, but the qualification data type: Str,int,list,dict, BooleanImportJSON#Four ways:#dumps and loads: For network data transfer and multiple data writes to a fileDict = {'wo':'Good_person','ni':'Bad_person'}ret= Json.dumps (Dict,ensure_ascii=false)#{"Wo": "Go

#!/usr/bin/env python#-*-Coding:utf-8-*-# Author:changhua Gong‘‘‘JSON supports only simple data types and does not support serialization of complex types, such as functions‘‘‘Import JSONinfo = {"Name": "Daidai", "Salary": 15000}# serializationWith open ("Test.txt", "W") as F:# F.write (Json.dumps (info))Json.dump (info,f) # is exactly equivalent to the previous sentence# Anti-serializationWith open ("Test.txt", "R") as F:# Print (Json.loads (F.read ()

Module Support methods Description Json Dumps/dumpLoads/load Only basic data types can be processed;For the transmission of data between multiple languages; Pickle Dumps/dumpLoads/load Supports all Python data types;Used to transfer objects between Python programs;Pickle The deserialized object is an equ

可以的#a = {6:2,8:0,1:4,-5:6,99:11,4:22}#print (Sorted (A.items ()))#print (Sorted (A.items (), Key=lambda x:x[1]))#print (a)# Zip (Zip)# a = [1,2,3,4,5]# b = ["A", "B", "C", "D", "E"]# for I in Zip (A, B):# Print (i)#import Decorator__import__ (' decorator ') --------------------------------------------------------I'm a cute split-line--------------------------------------------------------- -------------Top Top

Serialization refers to converting the data type in memory into a string so that it can be stored on the hard disk or transmitted over the network to the remote, because the hard disk or the network can only accept bytesConverting a string into an in-memory data type is called deserialization.JSON and PickleSecond, just convert the data type into a string into memory meaningJson.dumps json.loads1. Share your memory data across the network to remote others2. Define the interaction rules for diffe

Import Pickledata = {' K1 ': 123, ' K2 ': 888}Print (type data) ##dumps可以将数据类型转换成只有python才认识的字符串P_STR = pickle.dumps (data)Print (P_STR) #结果b ' \x80\x03}q\x00 (x\x02\x00\x00\x00k1q\x01k{x\x02\x00\x00\x00k2q\x02mx\x03u. ')Print (Type (P_STR)) #结果 With open (' Data.pkl ', ' WB ') as F:Pickle.dump (data, F)#同样读取的时候也需要打开文件With open (' data.pkl ', ' RB ') as F:Data_1 = Pickle.load (f)Print (data_1) #结果: {' K2 ': 888, ' K1 ': 123}Print (Type (data_1)) #结果 This is the two modules used for serialization

JSON module:JSON: Information exchange (conversion of strings) to any languageAfter JSON conversion, all types can be converted to double quotation marks before being converted to STRFor example: file reads and writes:1 #Write file:2 ImportJSON3f = open ("Demo.txt","W")4DIC = {"name":"g_l"}5Dic_str =json.dumps (DIC)6 f.write (DIC_STR)7 Print(Type (DIC_STR))8 Print(DIC_STR) 1 # Read file: 2 import

,"E": 6}There is a conversion from the Python data type to the JSON type during the encoding of the JSON. Python Json Dict Object List,tuple Array Str String Int,float Number True True False False None Nu

One, what is serialization (pickling):The process of changing an object (variable) from memory into a storage or transfer is called serialization.serialization can persist state without losing power to the computer or restarting the program, causing the previous data state to be lost. You can continue execution at the next time the program executes based on the state that was previously executed.after serialization , you can interact across platform data. It breaks the limitations of platform/pr

JSON can only handle simple data types. Lists, dictionaries, strings, and so on. Function not. Used for mutual transformation between different languages.encoding : Converts a Python object encoding into a JSON string json.dumps () saves the memory data object to the hard disk.decode : Converts the JSON format string decoding to a Python object json.loads () an

(g) , computes g the value of the next element until it is calculated to the last element, no more elements are thrown when the StopIteration error occurs.1g= (x forXinchRange (10))2 3 forIinchg:4 Print(i)5 6 7 The results of the operation are as follows:8 9D:\python35\python.exe D:/python Training/s14/day4/called by the generator. PYTen 0 One1 A2 -3 -4 the5 -6 -7 -8 +9 - +Process finished with exit code 05. for There are several types of data that can be directly acting on the loopA class

1. py file automatically created global variablesPrint (VARs ()) return value: {' __name__ ': ' __main__ ', ' __package__ ': None, ' __loader__ ': 1.1 Common variables:__doc__ #py文件的注释__file__# own path__package__# the package where the current. PY is located__cached __#py Cache__name__# display the name of the py file;1.2 Infrequently used variables:__LOADER__: System call__spec__ system Call__builtins__# #存放内置函数2. ModuleFor a complex function, multiple functions may be required to complete (fu