What Is Import JSON? Examples

Contents

What is import JSON?

Python load JSON. JSON may be a syntax for storing and exchanging information.
JSON is text, written with JavaScript object notation.

JSON in Python

Python incorporates a constitutional package known as JSON, which may be wont to work with JSON information.

Example

import the JSON module:

import json

Parse JSON – Convert from JSON to Python. If you’ve got a JSON string, you’ll analyze it by exploiting the json.loads() methodology.
The result is going to be a Python wordbook.

Convert from JSON to Python:

import json

# some JSON example:
detail =  '{ "name":"John", "age":30, "city":"New York"}'

# parse detail:
result = json.loads(detail)

# the result is a Python dictionary:
print(result["age"])

Output:

C:\Users\Pramod\PycharmProjects\pythonProject\venv\Scripts\python.exe C:/Users/Pramod/PycharmProjects/pythonProject/main.py
30

Process finished with exit code 0

Convert from Python to JSON

If you’ve got a Python object, you’ll convert it into a JSON string by exploiting the json.dumps() methodology.

Example

import json

# a Python object (dict):

x = {"age": 30,"city": "New York"}

# convert into JSON:

y = json.dumps(x)

# the result's a JSON string:

print(y)

Output:

C:\Users\Pramod\PycharmProjects\pythonProject\venv\Scripts\python.exe C:/Users/Pramod/PycharmProjects/pythonProject/main.py
{"age": 30, "city": "New York"}

Process finished with exit code 0

You will convert Python objects of the subsequent varieties, into JSON strings:

dict
list

tuple
string
int

float
True
False

None

Convert Python objects into JSON strings, and print the values:

import json

print(json.dumps(["pineapple", "bananas"]))
print(json.dumps(("Volleyball", "Football")))
print(json.dumps("hello"))
print(json.dumps(45))
print(json.dumps(45.12))
print(json.dumps(True))
print(json.dumps(False))
print(json.dumps(None))

Output:

C:\Users\Pramod\PycharmProjects\pythonProject\venv\Scripts\python.exe C:/Users/Pramod/PycharmProjects/pythonProject/main.py
["pineapple", "bananas"]
["Volleyball", "Football"]
"hello"
45
45.12
true
false
null

Process finished with exit code 0

When you convert from Python to JSON, Python objects are born again into the JSON (JavaScript) equivalent:

Python	JSON
dict	Object
list	Array
tuple	Array
str	String
int	Number
float	Number
True	true
False	false
None	null

Convert a Python object containing all the legal information types:

import json

detail = {
  "name": "Mickey",
  "age": 35,
  "married": True,
  "divorced": False,
  "children": ("Anna","Jhon"),
  "pets": None,
  "cars": [
    {"model": "BMW 230", "mpg": 30.4},
    {"model": "Ford Edge", "mpg": 21.5}
  ]
}

print(json.dumps(detail))

Output:

C:\Users\Pramod\PycharmProjects\pythonProject\venv\Scripts\python.exe C:/Users/Pramod/PycharmProjects/pythonProject/main.py
{"name": "Mickey", "age": 35, "married": true, "divorced": false, "children": ["Anna", "Jhon"], "pets": null, "cars": [{"model": "BMW 230", "mpg": 30.4}, {"model": "Ford Edge", "mpg": 21.5}]}

Process finished with exit code 0

Format the Result:

The example on top of prints a JSON string, however, it’s not terribly straightforward to browse, with no indentations and line breaks.

The json.dumps() methodology has parameters to create it easier to browse the result:

Use the indent parameter to outline the numbers of indents:

json.dumps(detail, indent=4)

You can conjointly outline the separators, default worth is (“, “, “: “), which implies employing a comma and an area to separate every object, and a colon and an area to separate keys from values:

Use the separators parameter to vary the default separator:

json.dumps(detail, indent=4, separators=(". ", " = "))

Order the Result

The json.dumps() methodology has parameters to order the keys within the result:

Example:

Use the sort_keys parameter to specify if the result ought to be sorted or not:

json.dumps(detail, indent=4, sort_keys=True)