Python JSON uses

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Transferred from: https://www.cnblogs.com/wangyayun/p/6699184.html?utm_source=tuicool&utm_medium=referral

Shows you how to encode and decode JSON objects using the Python language.

JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for people to read and write.

JSON functions

Use JSON functions to import the JSON library: importJSON.

function Description
Json.dumps Encode a Python object as a JSON string
Json.loads Decodes an encoded JSON string into a Python object
Json.dumps

The json.dumps is used to encode a Python object into a JSON string.

Grammar
Json.Dumps(Obj,Skipkeys=False,Ensure_ascii=True,Check_circular=true, Allow_nan=true< Span class= "pun" >, Cls=none Indent=none, Separators=none, encoding = "utf-8" , default< Span class= "pun" >=none, Sort_keys=false, **kw               /span>                
Instance

The following example encodes an array into JSON-formatted data:

#!/usr/bin/pythonImportJsondata= [ { A : 1, ' B ' : 2,  ' C ' : 3,  : 4  ' E '  :  5 } ]json = Json. (data) print< Span class= "PLN" > json              

The result of the above code execution is:

[{"a":1,"C":3,"B":2,"E":5,"D" :4}]                 

Use parameters to format the output of JSON data:

>>> ImportJson>>> PrintJson.Dumps({A: ' Runoob ',  ' B ' : 7 }, Sort_keys=true,< Span class= "PLN" > Indent=4, separators< Span class= "pun" >= ( ', ' ,  ': ' {  "a" : "Runoob" ,  "B" : 7}        

Python primitive type conversion table to JSON type:

Python JSON
Dict Object
List, tuple Array
STR, Unicode String
int, long, float Number
True True
False False
None Null
Json.loads

The json.loads is used to decode JSON data. The function returns the data type of the Python field.

Grammar
JSON.  Loads(s[, encoding[, cls[, object_hook[, parse_float[, Parse_ int[, parse_constant[, object_pairs_hook[,* *kw]  ]] []] 
Instance

The following example shows how Python decodes a JSON object:

#!/usr/bin/pythonImport=' {' A ': 1, ' B ': 2, ' C ': 3, ' d ': 4, ' E ': 5} ';  = json.  Loads(jsondata)print text          

The result of the above code execution is:

{u' A ':1, u 'C ':3, u 'B ':2, u' E ': 5, u' d ':4}            

JSON type conversion to Python type comparison table:

JSON Python
Object Dict
Array List
String Unicode
Number (int) int, long
Number (real) Float
True True
False False
Null None

Using third-party libraries: Demjson

Demjson is a third-party module library of Python that can be used to encode and decode JSON data, including the Jsonlint formatting and validation functions.

Github Address: Https://github.com/dmeranda/demjson

Official address: http://deron.meranda.us/python/demjson/

Environment configuration

Before using Demjson encoding or decoding JSON data, we need to install the Demjson module first. In this tutorial we will download Demjson and install:

-xvzf Demjson-2.2.  3.tar.  gz$ CD Demjson-2.2.  3$ python setup.  PY Install             

More installation Information view: Http://deron.meranda.us/python/demjson/install

JSON functions
function Description
Encode Encode a Python object as a JSON string
Decode Decodes an encoded JSON string into a Python object
Encode

The Python encode () function encodes a Python object into a JSON string.

Grammar
Demjson.  Encode(self, obj, nest_level=0)       
Instance

The following example encodes an array into JSON-formatted data:

#!/usr/bin/pythonImportDemjsondata= [ { A : 1, ' B ' : 2,  ' C ' : 3,  : 4  ' E '  :  5 } ]json = Demjson. (data) print< Span class= "PLN" > json              

The result of the above code execution is:

[{"a":1,"B":2,"C":3,"D":4,"E"  :5}]                  
Decode

Python can use the Demjson.decode () function to decode JSON data. The function returns the data type of the Python field.

Grammar
Demjson.  Decode(self, txt)      
Instance

The following example shows how Python decodes a JSON object:

#!/usr/bin/pythonImport=' {' A ': 1, ' B ': 2, ' C ': 3, ' d ': 4, ' E ': 5} ';  = Demjson.  Decode(json)print text          

The result of the above code execution is:

{u' A ':1, u 'C ':3, u 'B ':2, u' E ': 5, u' d ':4}            

Python JSON uses

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