Detailed explanation of Python parsing JSON

JSON function

Using the JSON function requires importing the json library: import json.

Function Description

json.dumps Encode Python object into JSON String

json .loads Decodes the encoded JSON string into a Python object

json.dumps

Syntax

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)

Example

The following example encodes the array into JSON format data:

#!/usr/bin/python
import json
data = {'number': 6, 'name': 'Pythontab'}
jsonData = json.dumps(data)
print jsonData

The execution result of the above code is:

{"number": 6, "name": "Pythontab"}

Note: You may find that when performing the above conversion From now on, the data has not changed. Here is what I want to say: In json, double quotes are the string separator, and single quotes are not standard.

Use parameters to sort JSON data and format the output:

#!/usr/bin/python
import json
data = {'number': 6, 'name': 'Pythontab'}
jsonData = json.dumps(data, sort_keys=True, indent=4, separators=(',', ': '))
print jsonData

Output results

{
    "name": "Pythontab",
    "number": 6
}

Conversion table from python original type to json type:

json.loads

data type of the Python field.

#!/usr/bin/python
import json
jsonData = '{"number": 6, "name": "Pythontab"}'
str = json.loads(jsonData)
print str

{u'number': 6, u'name': u'Pythontab'}

Type conversion table to python:

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

Environment configuration

install the

Method 1: Source code installation

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