JSON is a javascript notation of storing and fetching the data. Data is usually stored in JSON, XML or in some other database. It is a complete language-independent text format. To work with JSON data, Python has a built-in package called json. Note: For more information, refer to Read, Write and Parse JSON using Python
Pretty Print JSON
Whenever data is dumped into Dictionary using the inbuilt module “json” present in Python, the result displayed is same as the dictionary format. Here the concept of Pretty Print Json comes into picture where we can display the JSON loaded into a presentable format. Example 1:
Python3
# Write Python3 code here import json json_data = '[{"Employee ID":1,"Name":"Abhishek","Designation":"Software Engineer"},' \ '{"Employee ID":2,"Name":"Garima","Designation":"Email Marketing Specialist"}]' json_object = json.loads(json_data) # Indent keyword while dumping the# data decides to what level# spaces the user wants.print(json.dumps(json_object, indent = 1)) # Difference in the spaces# near the brackets can be seenprint(json.dumps(json_object, indent = 3)) |
Output:
[
{
"Employee ID": 1,
"Name": "Abhishek",
"Designation": "Software Engineer"
},
{
"Employee ID": 2,
"Name": "Garima",
"Designation": "Email Marketing Specialist"
}
]
[
{
"Employee ID": 1,
"Name": "Abhishek",
"Designation": "Software Engineer"
},
{
"Employee ID": 2,
"Name": "Garima",
"Designation": "Email Marketing Specialist"
}
]
Time complexity: O(1)
Auxiliary space: O(1)
Example 2: Let’s suppose we want to pretty-print the data from the JSON file. JSON File: 
Python3
import json # Opening JSON filef = open('myfile.json',) # returns JSON object as # a dictionarydata = json.load(f) print(json.dumps(data, indent = 1) # Closing filef.close() |
Output:
{
"emp1": {
"name": "Lisa",
"designation": "programmer",
"age": "34",
"salary": "54000"
},
"emp2": {
"name": "Elis",
"designation": "Trainee",
"age": "24",
"salary": "40000"
}
}
