{"id":362,"date":"2024-10-07T04:06:34","date_gmt":"2024-10-07T04:06:34","guid":{"rendered":"https:\/\/techkubo.com\/python\/?p=362"},"modified":"2025-06-20T17:52:46","modified_gmt":"2025-06-20T17:52:46","slug":"working-with-json-in-python","status":"publish","type":"post","link":"https:\/\/techkubo.com\/python\/working-with-json-in-python\/","title":{"rendered":"Working with JSON in Python"},"content":{"rendered":"\n

What is JSON?<\/h2>\n\n\n\n

JSON (JavaScript Object Notation)<\/strong> is a simple format for storing and exchanging data. It is easy to read and write for both humans and machines. Python has a built-in module that allows us to work with JSON data easily called json<\/code>.<\/p>\n\n\n\n

Using JSON in Python<\/h2>\n\n\n\n

Importing the JSON Module<\/h3>\n\n\n\n

To start using JSON in Python, you first need to import the json<\/code> module:<\/p>\n\n\n\n

import json # Import the JSON module<\/pre><\/div>\n\n\n\n
<\/p>\n\n\n\n
Parsing JSON<\/h3>\n\n\n\n
You can convert a JSON string into a Python dictionary using the json.loads()<\/code> function.<\/p>\n\n\n\n
Example:<\/strong><\/p>\n\n\n\n
import json # Import the JSON module\n\n# A JSON string representing a popular Filipino Bread\njson_string = '{"name": "Pandesal", "type": "bread roll", "ingredients": ["flour", "yeast", "sugar", "salt", "water"]}'\n\n# Convert JSON string to a Python dictionary\nbread_data = json.loads(json_string)\n\n# Access the data\nprint(bread_data["name"])  # Output: Pandesal<\/pre><\/div>\n\n\n\n
<\/p>\n\n\n\n
Converting Python to JSON<\/h2>\n\n\n\n
To convert a Python object (like a dictionary) into a JSON string, use the json.dumps()<\/code>function.<\/p>\n\n\n\n
Example:<\/strong><\/p>\n\n\n\n
import json # Import the JSON module\n\n# A Python dictionary representing a famous Filipino dessert bread\ndessert_bread_data = {\n    "name": "Ensaymada",\n    "type": "sweet bread",\n    "toppings": ["butter", "cheese", "sugar"],\n    "is_popular": True\n}\n\n# Convert the Python dictionary to a JSON string\njson_string = json.dumps(dessert_bread_data)\n\n# Print the JSON string\nprint(json_string)  \n# Output: {"name": "Ensaymada", "type": "sweet bread", "toppings": ["butter", "cheese", "sugar"], "is_popular": true}<\/pre><\/div>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
Supported Data Types<\/h2>\n\n\n\n
<\/p>\n\n\n\n
Dictionary (dict)<\/td>JSON Object<\/td><\/tr>
List<\/td>JSON Array<\/td><\/tr>
Tuple<\/td>JSON Array<\/td><\/tr>
String<\/td>JSON String<\/td><\/tr>
Integer<\/td>JSON Number<\/td><\/tr>
Float<\/td>JSON Number<\/td><\/tr>
Boolean (True\/False)<\/td>JSON true\/false<\/td><\/tr>
None<\/td>JSON null<\/td><\/tr><\/tbody><\/table>
You can convert various Python objects to JSON, including dictionaries, lists, and more.<\/figcaption><\/figure>\n\n\n\n
Example:<\/strong><\/p>\n\n\n\n
import json # Import the JSON module\n\n# A dictionary with details about various types of Filipino delicacies\ndelicacy_details = {\n    "pandesal": {\n        "flavor": "savory",\n        "texture": "soft",\n        "country_of_origin": "Philippines"\n    },\n    "puto": {\n        "flavor": "sweet",\n        "texture": "fluffy",\n        "country_of_origin": "Philippines"\n    },\n    "bibingka": {\n        "flavor": "sweet and savory",\n        "texture": "moist",\n        "country_of_origin": "Philippines"\n    }\n}\n\n# Convert the dictionary to JSON\njson_data = json.dumps(bread_details)\n\n# Print the JSON string\nprint(json_data)  \n# Output: {"bibingka": {"flavor": "sweet and savory", "texture": "moist", "country_of_origin": "Philippines"}, "pandesal": {"flavor": "savory", "texture": "soft", "country_of_origin": "Philippines"}, "puto": {"flavor": "sweet", "texture": "fluffy", "country_of_origin": "Philippines"}}<\/pre><\/div>\n\n\n\n
<\/p>\n\n\n\n
Formatting JSON Output<\/h2>\n\n\n\n
To format the JSON output for better readability, use indentation.<\/p>\n\n\n\n
Example:<\/strong><\/p>\n\n\n\n
import json # Import the JSON module\n\n# Dictionary representing a delicacy in the Philippines\ndelicacy_data = {\n    "name": "Suman",\n    "type": "rice cake",\n    "ingredients": ["glutinous rice", "coconut milk", "sugar"],\n    "served_with": ["mango", "latik"]\n}\n\n# Convert and format the dictionary to a JSON string\nformatted_json = json.dumps(delicacy_data, indent=4)\n\n# Print the formatted JSON string\nprint(formatted_json)\n\n# Output:\n# {\n#     "ingredients": [\n#         "glutinous rice",\n#         "coconut milk",\n#         "sugar"\n#     ],\n#     "name": "Suman",\n#     "served_with": [\n#         "mango",\n#         "latik"\n#     ],\n#     "type": "rice cake"\n# }<\/pre><\/div>\n\n\n\n
<\/p>\n\n\n\n
Sorting JSON Keys<\/h2>\n\n\n\n
You can sort the keys in your JSON output using the sort_keys<\/code> parameter.<\/p>\n\n\n\n
Example:<\/strong><\/p>\n\n\n\n
import json # Import JSON module\n\n# A dictionary representing a type of Filipino bread\ntasty_breads = {\n    "name": "Pan de Coco",\n    "type": "sweet bread",\n    "filling": "coconut",\n    "texture": "soft",\n    "is_traditional": True\n}\n\n# Convert and sort the dictionary to a JSON string\nsorted_json = json.dumps(tasty_breads, indent=4, sort_keys=True)\n\n# Print the sorted JSON keys\nprint(sorted_json)\n\n# Output:\n# {\n#     "filling": "coconut",\n#     "is_traditional": true,\n#     "name": "Pan de Coco",\n#     "texture": "soft",\n#     "type": "sweet bread"\n# }<\/pre><\/div>\n\n\n\n
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