Json library
Project description
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"]]
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