This example demonstrates converting from JSON to Python object.# Import the json module import json # Creating a JSON string student = '{"id":"101", "std_name": "Alex", "course":"MCA"}' # Printing value and types of 'student' print("student :", student) print("Type of student ...
Let's print the decoded JSON at each step to see what happens: json.loads(json_obj, object_hook = print) {'title': 'Mr', 'first': 'Ian', 'last': 'Walters'} {'number': 3161, 'name': 'Saddle Dr'} {'latitude': '-84.7903', 'longitude': '-29.1020'} {'offset': '+9:00...
# Parse JSON string into a Python dictionary json_object = json.loads(json_string) # Access dictionary keys print("Name:", json_object["name"]) # Output: Name: Sara print("Age:", json_object["age"]) # Output: Age: 25 print("City:", json_object["city"]) # Output: City: New ...
To convert from Python object to JSON, you can use the json.dumps() method by passing a Python object (dictionary). The json.dumps() method converts a Python object (i.e., dictionary) into a JSON string.Program to convert from Python object to JSON...
You can use the JSON module to convert a list to a JSON object. Thejson.dumps()function converts a Python object, in this case, a list, into a JSON string. In the below example, first import the JSON module. Create a Python list callednumberscontaining some integer elements. Usejson....
3. Using str() to Convert JSON object to String The str() convert the given python object to string. It takes an object as a parameter and converts it to a string. If you pass JSON object, it converts the object to a string. ...
2. Convert Python Object to JSON Data Write a Python program to convert Python object to JSON data. Sample Solution:- Python Code: importjson# a Python object (dict):python_obj={"name":"David","class":"I","age":6}print(type(python_obj))# convert into JSON:j_data=json.dumps(python...
from pandas import json_normalize import json with open('nested_data.json') as file: data = json.load(file) df = json_normalize(data, 'numbers', ['customer_id', 'name']) df.to_excel('nested_output.xlsx', index=False) JSON with Multiple Levels of Nesting ...
In the below example code 'with open('data.json') as f' defines opening the file data.json in read mode and assigns the file object to f. import json # Load JSON from a file with open('data.json') as f: data = json.load(f) # Convert the dictionary to a tuple data_tuple = ...
in a file. JSON data can be in the form of the object, array, value, string, or number. In Python, JSON exists as a string or more like a dictionary having key-value pairs where keys must be a string and values can be of any type say object, array, value, string, or a number...