python jSON | import json in python


python jSON | import json in python

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 exploitation the json.loads() methodology.

The result are going to be a Python wordbook.

Example
Convert from JSON to Python:

import json

# some JSON:x = ‘

analyze x:y = json.loads(x)

# the result’s a Python dictionary:print(y[“age”])


Convert from Python to JSON

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

Example
Convert from Python to JSON:

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

dict
list
tuple
string
int
float
True
False
None
Example
Convert Python objects into JSON strings, and print the values:

import json

print(json.dumps())
print(json.dumps([“apple”, “bananas”]))
print(json.dumps((“apple”, “bananas”)))
print(json.dumps(“hello”))
print(json.dumps(42))
print(json.dumps(31.76))
print(json.dumps(True))
print(json.dumps(False))
print(json.dumps(None))

When you convert from Python to JSON, Python objects ar 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

Example


Convert a Python object containing all the legal information types:

import json

x = “age”: 30,
“married”: True,
“divorced”: False,
“children”: (“Ann”,”Billy”),
“pets”: None,
“cars”: [
{“model”: “BMW 230”, “mpg”: 27.5″>
,

]
}

print(json.dumps(x))

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:

Example
Use the indent parameter to outline the numbers of indents:

json.dumps(x, indent=4)

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

Example
Use the separators parameter to vary the default separator:

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

python jSON | import json in python

Have any Question or Comment?

Leave a Reply

Your email address will not be published. Required fields are marked *

Domain & free Hosting

Categories

You have successfully subscribed to myprogrammingschool

There was an error while trying to send your request. Please try again.

My Programming School will use the information you provide on this form to be in touch with you and to provide updates and marketing.