Json pickle module, json online ParsingJson pickle Module
Two modules used for serialization
Json, used for conversion between string and python Data Types
Pickle, used for conversion between python-specific types and pyt
Python module knowledge 4: serialization of Json/pickle and jsonpickle
Serialization and deserialization
Serialization: converts the basic data type of Python to a string.
Deserialization: converts a string to the basic data type of Python.
Two modules used for serialization in Python:
Json is used for conversion between [String] and [python basic data type]
ageqkx funcqc__main__sayhiDeserializationImportPickledefSayhi (name):#This function must be written in deserialization, otherwise it will be an error because the function is not loaded into memory at the time of loading Print("Hello:", name) with open ("Test.json","RB") as F:data=pickle.loads (F.read ())Print(data[" Age"]) Data.get ("func")("Qianduoduo")#Execute function Sayhi#Output22Hello:qianduoduo#The logic in the output function body can also be changed, but the function name must be th
Serialized json, pickle, and jsonpickle in python
What is Json:
JSON (JavaScript Object Notation) is a lightweight data exchange format. Easy for reading and writing, and easy for machine parsing and generation. Json uses a completely language-independent text format, but it
isinstance(obj, datetime.datetime): json_str = {"datetime":obj.strftime("%Y-%m-%d %X")} return json_str return objclass MyDecoder(json.JSONDecoder): def __init__(self): json.JSONDecoder.__init__(self, object_hook=self.str2time) def str2time(self,json_obj): #json to python if "datetime" in json_obj: date_str,time_str = json_obj["datetime"].split(' ') date = [int(x) for x in
In Python, serialization can be interpreted as converting the encoded format of an object in Python to a string in JSON (pickle) format, which can be interpreted as converting a string in JSON (pickle) format into an encoded format for an object in PythonTo give a simple example, we write the Python program in the Vmva
=m Yencoder (). Encode (dd) print a# [{"datetime": "2016-10-27 18:14:54"}, [1, 2, 3]]print Mydecoder (). Decode (a) # [Datetime.datetime (2016, 10, 27, 18, 14, 54), [1, 2, 3]
Pickle Module
Python's pickle module implements all data sequences and deserialization of Python. There is basically no big difference between functional usage and JSON modules, and the sa
), Specif Y it with the CLS Kwarg; otherwise Jsonencoder isUsed.Additional parameter DescriptionImportJsondata= {'username':['Li Hua','Erlengzi'],'Sex':'male',' Age': 16}json_dic2= Json.dumps (data,sort_keys=true,indent=2,separators= (',',':'), ensure_ascii=False)Print(JSON_DIC2)formatted output of JSONTwo modules for serialization
JSON, used to convert between string and Python data types
Pickle
Json and pickle, jsonpickle
Json
Json is one of the modules for serialization and deserialization of program data types. It can be used to exchange data between different platforms and programs, or to temporarily store data in programs. Let's take a look at the usage of json
Introduction to serialization and deserialization of JSON1, JSON can only serialize simple data types, such as lists, dictionaries, strings, etc. simple types, cannot serialize complex types.2, JSON is supported in all languages, and we use JSON when we cross the language, (interacting with other languages)JSON seriali
Serialization. Pypython Raw Data: {'K1':'v1','K2':'v2'} class 'Dict'>JSON object: {"K1":"v1","K2":"v2"} class 'Str'>result['K1']: v1result['K2']: v2If you are dealing with files instead of strings, you can use json.dump () and json.load () to encode and decode JSON Data. For example:1data = {2 "name":"Wangenzhi",3 " age": 25,4 "Job":"Ops"5 }6 #Writing JSON
Tag:load Verification Code utf-8pythoint Default data memory and #-*-Coding:utf-8-*-import Random as Rd #验证码import Hashlib as HSL #MD5加密import pickle,json #pickle与json序列化 #print Rd.rand int (1,5) #print Help (range) #print Help (Rd.randint) #随机生成6位验证码: code = []for i in Range (1,7): if i = = Rd.randint (1,6):
Premise:Text files can only be written in string or ASCII format content.info={'name':'Zoe','age': 18 }f=open ('test.txt','w') f.write (info) # write the contents of the dictionary format in the text file, and the execution will error. f.closed ()The workaround is to change f.write (info) to F.write (str (info)).But this is relatively low-end.At the same time, the file is read into the environment through open () and is read in a string format. The above operation is serialized and deserialize
Two modules for serialization JSON: Used to convert between string and Python data types Pickle: Converting between Python-specific types and Python data types The JSON module provides four functions: dumps dump loads load The Pickle module provides four functions: dumps dump loads load
JSON as a medium for data interaction between different languages, has gradually replaced the previous XML in the present, looking at a wave of Python operation JSON1 #coding = ASCII2 3 ImportJSON4 ImportPickle5 ImportSYS6 ImportOS7 " "8 Practice Json,pickle9 JSON-type data enables data interaction between different languages,Ten Python is introduced in Python3 t
, lists, strings, etc., and cannot handle complex data types such as functions.
JSON is common in all languages, JSON is supported in all languages, and if we need python to interact with other languages, it is in JSON format.
Ii. Serialization of Pickle1. Serialization of dumps and loads deserializationSerialization of Dumps ()ImportPickle Info= { 'n
(' Test.txt ', ' R ') #打开test. txt file and read date = Json.loads (F.read ()) #json. Loads decode the data print (date[' Age ']) print (date[' name ']) f.close ()The data decoded by Json.loads will revert to the style of the source data and can be output directly.4. Another simple method (eval () method)F.open (' Test.txt ', ' r ') Date = eval (F.read ()) Print (Date ([' Age '])) F.close ()Second, storage function (
computers or need to serialize "" "#pickle和json的区别1, pickle can only be used in Python, Python does its own 2, JSON all languages support a data format 3, such as Java programs and Python programs need to exchange data, then you have to use JSON "" #
The JSON module is a very important module that enables cross-platform data exchange between any language, and enables the persistence of some relatively simple data types. (The persistence here is to put Python's simple data types, such as strings, lists, tuples, dictionaries and the like, into the standard format of the JSON string, saved to the hard disk.) )
JSON
ImportPickle8 9 " "Ten two modules for serialization One 1>.json: Used to convert between string and Python data types A 2>.pickle: Converting between Python-specific types and Python data types - The JSON module provides four functions: dumps, dump, loads, load - The Pickle module provides four functions: dumps, dump
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.