JsonEx

In this library, the creation of JSON has been improved where it previously returned errors.

From now on, attempting to save list, dicts, set, and custom objects to JSON should not cause any problems. For objects that cannot be formatted into JSON, the following value will be returned:

f"[custom type: {type(value).__name__}]"

Custom data auto convert:

pandas DataFrame => dict
numpy ndarray => list

Encode json

from jsonex import JsonEx

JsonEx.dump({})

Decode json

from jsonex import JsonEx

json = JsonEx.dump({})

JsonEx.load(json)

Example

from jsonex import JsonEx
import numpy as np


class CustomObject:
    a: int
    b: int

df = np.DataSource()


CustomObject.a = 42
CustomObject.b = 33

data = [
    None,  # null in JSON
    True,  # boolean true in JSON
    False,  # boolean false in JSON
    123,  # integer (int)
    45.67,  # floating-point number (float)
    "text",  # string (str)
    [1, 2, 3],  # array (list)
    {"key": "value"},  # object (dict)
    (4, 5, 6),  # tuple
    {7, 8, 9},  # set
    # Additional examples for completeness
    456,  # another int
    78.9,  # another float
    "another text",  # another str
    [4, 5, 6],  # another list
    {"another_key": "another_value", "key2": (1, 2, 3)},  # another dict
    (10, 11, 12),  # another tuple
    {10, 11, 12},  # another set
    True,  # another bool
    CustomObject(),
    df,
    {"a", "b", "c"}
]
print(JsonEx.dump(data))

Zwróci:

[null, true, false, 123, 45.67, "text", [1, 2, 3], {"key": "value"}, [4, 5, 6], [8, 9, 7], 456, 78.9, "another text", [4, 5, 6], {"another_key": "another_value", "key2": [1, 2, 3]}, [10, 11, 12], [10, 11, 12], true, "[custom type: CustomObject]", "[custom type: DataSource]", ["a", "b", "c"]]