JSON to python objectThe follwing code creates dynamic attributes with the objects keys recursively. JSON object - fb_data.json: {
"name": "John Smith",
"hometown": {
"name": "New York",
"id": 123
},
"list": [
"a",
"b",
"c",
1,
{
"key": 1
}
],
"object": {
"key": {
"key": 1
}
}
}
On the conversion we have 3 cases: - lists
- dicts (new object)
- bool, int, float and str
import json
class AppConfiguration(object):
def __init__(self, data=None):
if data is None:
with open("fb_data.json") as fh:
data = json.loads(fh.read())
else:
data = dict(data)
for key, val in data.items():
setattr(self, key, self.compute_attr_value(val))
def compute_attr_value(self, value):
if isinstance(value, list):
return [self.compute_attr_value(x) for x in value]
elif isinstance(value, dict):
return AppConfiguration(value)
else:
return value
if __name__ == "__main__":
instance = AppConfiguration()
print(instance.name)
print(instance.hometown.name)
print(instance.hometown.id)
print(instance.list[4].key)
print(instance.object.key.key)
Now the key, value pairs are attributes - objects. output: John Smith
New York
123
1
1
Paste JSON as CodeSupports TypeScript, Python, Go, Ruby, C#, Java, Swift,
Rust, Kotlin, C++, Flow, Objective-C, JavaScript, Elm, and JSON Schema. - Interactively generate types and (de-)serialization code from JSON, JSON Schema, and TypeScript
- Paste JSON/JSON Schema/TypeScript as code
quicktype infers types from sample JSON data, then outputs strongly
typed models and serializers for working with that data in your desired programming language.
output: # Generated by https://quicktype.io
#
# To change quicktype's target language, run command:
#
# "Set quicktype target language"
from typing import List, Union
class Hometown:
name: str
id: int
def __init__(self, name: str, id: int) -> None:
self.name = name
self.id = id
class Key:
key: int
def __init__(self, key: int) -> None:
self.key = key
class Object:
key: Key
def __init__(self, key: Key) -> None:
self.key = key
class FbData:
name: str
hometown: Hometown
list: List[Union[Key, int, str]]
object: Object
def __init__(self, name: str, hometown: Hometown, list: List[Union[Key, int, str]], object: Object) -> None:
self.name = name
self.hometown = hometown
self.list = list
self.object = object
This extension is available for free in the Visual Studio Code Marketplace. View Discussion Improve Article Save Article ReadDiscussView Discussion Improve Article Save Article JSON stands for JavaScript Object Notation. It means that a script (executable) file which is made of text in a programming language, is used to
store and transfer the data. Python supports JSON through a built-in package called json. To use this feature, we import the json package in Python script. The text in JSON is done through quoted-string which contains value in key-value mapping within { }. It is similar to the dictionary in Python.
Function Used: - json.load(): json.loads() function is present in python built-in ‘json’ module. This function is used to parse the JSON
string.
Syntax: json.load(file_name)
Parameter: It takes JSON file as the parameter.
Return type: It returns the python dictionary object.
Example 1: Let’s suppose the JSON file looks like this:
We want to convert the
content of this file to Python dictionary. Below is the implementation.
Python3import json
with open('data.json') as json_file:
data = json.load(json_file)
print("Type:", type(data))
print("\nPeople1:", data['people1'])
print("\nPeople2:", data['people2'])
Output :
Example 2: Reading nested data
In the above JSON file, there is a nested dictionary in the first key people1. Below is the implementation of reading nested data.
Python3import json
with open('data.json') as json_file:
data = json.load(json_file)
print(data['people1'][0])
print("\nPrinting nested dictionary as a key-value pair\n")
for i in data['people1']:
print("Name:", i['name'])
print("Website:", i['website'])
print("From:", i['from'])
print()
Output :
Can you import JSON into Python?
Python supports JSON through a built-in package called json. To use this feature, we import the json package in Python script. The text in JSON is done through quoted-string which contains the value in key-value mapping within { }.
What converts .json file into a Python object?
Use jsonpickle module to convert JSON data into a custom Python Object. jsonpickle is a Python library designed to work with complex Python Objects. You can use jsonpickle for serialization and deserialization complex Python and JSON Data. You can refer to Jsonpickle Documentation for more detail.
Can we parse JSON in Python?
If you have a JSON string, you can parse it by using the json. loads() method. The result will be a Python dictionary.
Can we convert JSON to DataFrame in Python?
You can convert JSON to Pandas DataFrame by simply using read_json() . Just pass JSON string to the function. It takes multiple parameters, for our case I am using orient that specifies the format of JSON string. This function is also used to read JSON files into pandas DataFrame.
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