[Python3] JSON parsing

Overview

This section will show you how to use Python to encode and decode JSON objects.

JSON is a shorthand for JavaScript Object notation, a lightweight data interchange format that is easy to read and write, and is one of the most commonly used data interaction formats at the front and back.

Standard library

In Python, a standard JSON library is provided for decoding and encoding parsing of JSON strings.

The usual functions are as follows

• Json.dumps
  Encodes a Python object into a JSON string, returning the JSON strings

• Json.loads
  Decodes the encoded JSON string into a Python object and returns the data type of the Python

Let's look at the conversion tables for Python objects and JSON types:

python type	Json
Dictionary Dict	Object
List lists, tuple tuples	Array
STR string	String
int, long, float	Number
True	True
False	False
None	Null

Dictionaries and JSON mutual transfer examples

JSON string-to-dict (dictionary) example

#-*-coding:utf-8-*-__author__='Gubei'ImportJSONif __name__=="__main__":    Print("JSON turn dict") Json_str='{"Name": "Blog Park Valley White", "url": "http://www.cnblogs.com/igubai/", "id": "Cnblog Gubai"}'        #Original Type    Print("Original type:", type (JSON_STR))#turn into a Dict object    #will be converted into a dictionary typeJson_dict =json.loads (JSON_STR)Print("type after conversion:", type (json_dict))#Traverse Dictionary     for(k, V)inchJson_dict.items ():PrintK" : ", V)

Dict dictionary to JSON string example

#-*-coding:utf-8-*-__author__='Gubei'ImportJSONif __name__=="__main__":        Print("dictionary to JSON string") Json_dict= {                "name":"Blog Park Gubei",                "URL":"www.testingunion.com",                "ID":"deeptest"    }                Print("Original type:", type (json_dict))#Convert a dictionary to a JSON string    #will be converted to a string typeJson_str =json.dumps (json_dict)Print("type after conversion:", type (JSON_STR))Print(JSON_STR)

Advanced instances

Let's look at a complex JSON string and how to traverse it after the conversion.

Parse a complex JSON and iterate through all the elements and print them out:

#-*-coding:utf-8-*-__author__='Gubei'ImportJSONif __name__=="__main__":    Print("JSON string parsing advanced instance") Json_demo="""{"blog": [{"Name": "Blog Park", "UID": "Gubai",                    "desc": "Python3"}, {"Name": "Blog Park" _demo ",  "UID": "Gubai_demo", "desc": "Python3_demo"}], "GitHub":                    [{"url": "Https://github.com/gubai", "name": "GitHub",                    "desc": "Open Source Code"}, {"url": "Https://github.com/gubai_demo", "Name": "Github_demo", "desc": "Python3_demo"}]} /c0>"""    #convert JSON strings to dictionariesJson_dict =json.loads (Json_demo)#Traverse Dictionary     for(k, V)inchJson_dict.items ():#output First level, K for Weixin, web; V for its corresponding list is the data in []        PrintK" : ", V) forDatainchV:#Traverse List            #v for []             for(Data_k, Data_v)inchData.items ():#each data is a dictionary in []                #iterate through a dictionary in a list                Print("    ", Data_k," : ", Data_v)

Summary

The parsing of JSON, in a nutshell, is to translate it into a dictionary and manipulate it in Python.

[Python3] JSON parsing