Python processing JSON

Concept

serialization (serialization): Converts the state information of an object into a process that can be stored or transmitted over a network, in the form of JSON, XML, and so on. Deserialization is the state of the deserialized object that is read from the storage area (Json,xml) and re-created.

JSON (JavaScript Object Notation): A lightweight data interchange format that is easier to read and write than XML, is easy to parse and generate, and JSON is a subset of JavaScript.

Python2.6 started adding JSON modules without additional download, and the Python JSON module serialization and deserialization process is encoding and decoding , respectively.

encoding: Converts a Python object encoding into a JSON string
decoding: Converting JSON format string decoding to Python object
For simple data types (string, Unicode, int, float, list, tuple, dict), they can be processed directly.

The conversion control is as follows:

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The type conversions from JSON to Python are compared as follows:

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Direct attached code:

# coding: utf-8# filename: testjsonimport json# python data to JSON string obj =  [[1,2,3],123,123.123, ' abc ', {' key1 ':(), ' key2 ':(4,5,6)}] # sort_keys  is to tell the encoder to sort by dictionary (A to Z) the output # indent parameter is indented according to the data format and is read more clearly. The function of the # separators parameter is to remove,: the trailing space, In the process of transmitting data, the more streamlined the better, the redundant things are all removed encodejson = json.dumps (obj, sort_keys=true,indent=4,separators= (', ', ': ') # str () generally converts a value into a string.  # repr () is to turn an object into a string display, note that it is only displayed with, Print repr (obj) Print encodejson# json string to Pythonstrjson  = r ' [[1, 2, 3], 123, 123.123,  "abc",  {"Key2":  [4, 5, 6 ],  "Key1":  [1, 2, 3]}] ' Decodejson = json.loads (Strjson) #  Decodejson for listprint  ' decodejson[0]: ', decodejson[0]print  ' decodejson[1]: ',  decodejson[1] The For val in decodejson:    print val# load () and dump () methods can be implemented to write files, and read file F = open ("T.json",  ' w+ ') f.seek (0) JSON. Dump (obj, f) #f. Write (Encodejson) F.flush () #注: To refer back to the file start position f.seek (0) print json.load (f) 

Python processing JSON