Python JSON
In this chapter we will introduce how to use Python language to encode and decode JSON objects.
Python 2.7 comes with JSON module [official document]
1. The conversion process from python original type to json type, the specific conversion is as follows:
import json
json.dump(obj, fp, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, encoding="utf-8", default=None, sort_keys=False, **kw)
json.dumps(obj, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, encoding="utf-8",default=None, sort_keys= False, **kw)
python python json json
------------------------------------------------ --------
dict at null
>>> import json
>>> json.dumps(['foo', {'bar': ('baz', None, 1.0, 2)}])
'["foo ", {"bar": ["baz", null, 1.0, 2]}]'
>>> f = open('demo.txt','w')
>> ;> json.dump(range(100), f)
# Open demo.txt and you can see
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 , 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 , 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 , 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85 , 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]
2. The conversion process from json type to python, The specific conversion is as follows:
import json
json.load(fp[, encoding[, cls[, object_hook[, parse_float[, parse_int[, parse_constant[, object_pairs_hook[, **kw]]]] ]]]])
json.loads(s[, encoding[, cls[, object_hook[, parse_float[, parse_int[, parse_constant[, object_pairs_hook[, **kw]]]]]]])
D Object Dict
Array List
String Str
Number (int) int
Number (Real) Float
True Trse False False
NULL NONE
GT; & GT; & GT; & GT; & GT; & GT; & GT; import json
>>> json.loads('{"a": 1, "b": 2, "c": 3}') # string to python objects
{u'a': 1, u' c': 3, u'b': 2}
# Contents in 1.txt
[{"a": [1, 2, 3, 4, 5]}, {"b" : [1, 2, 3]}, {"c": ["English", "Chinese"]}]
>>> f = open('1.txt')
> >> json.load(f)
[{u'a': [1, 2, 3, 4, 5]}, {u'b': [1, 2, 3]}, {u' c': [u'English', u'Chinese']}]
Old version of Python environment configuration (users who come with the json module in Python do not need to look at it)
Using Python to encode or decode JSON Before data, we need to install the JSON module first. In this tutorial we will download Demjson and install it:
$tar
JSON function
Function
Description
encode Encode a Python object into a JSON string
decode Decode an encoded JSON string into a Python object
encode
Python encode() Function for encoding Python objects into JSON strings.
Syntax
demjson.encode(self, obj, nest_level=0)
Example
The following example encodes an array into JSON format data:
#! /usr/bin/python
import demjson
data = [ { 'a' : 1, 'b' : 2, 'c' : 3, 'd' : 4, 'e' : 5 } ]
json = demjson.encode(data)
print json
The execution result of the above code is:
[{"a":1,"b":2," c":3,"d":4,"e":5}]
decode
Python can use the demjson.decode() function to decode JSON data. This function returns the data type of the Python field.
Syntax
demjson.decode(self, txt)
Example
The following example shows how Python decodes JSON objects:
#!/usr/bin /python
import demjson
json = '{"a":1,"b":2,"c":3,"d":4,"e":5}';
text = demjson.decode(json)
print text
The above code execution result is:
{u'a': 1, u'c': 3, u'b': 2, u'e': 5, u'd': 4}

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How does Uvicorn continuously listen for HTTP requests? Uvicorn is a lightweight web server based on ASGI. One of its core functions is to listen for HTTP requests and proceed...

Fastapi ...

Using python in Linux terminal...

Understanding the anti-crawling strategy of Investing.com Many people often try to crawl news data from Investing.com (https://cn.investing.com/news/latest-news)...
