Conversions

Most standard types are serialized to json and back without modification:

• bool
• int
• float
• str
• NoneType
• list
• dict

The following types are supported, but serialize to json-compatible types destructively:

Python Type	Json Type	Example Input	Example Output	Notes
decimal.Decimal	float	Decimal("13.14")	13.14
datetime.datetime	str	time(12, 0, 0)	"12:00:00"
datetime.date	str	date(2021, 1, 1)	"2021-01-01"
datetime.time	str	datetime(2021, 1, 1)	"2021-01-01T00:00:00+00:00"	RFC 3339 format, compatible with isoformat()
datetime.timedelta	float	timedelta(days=1, milliseconds=1)	86400.001	Total seconds
np.array	list	np.array([1, 2, 3])	[1, 2, 3]
set	list	{"a", "b", "c"}	["a", "b", "c"]
tuple	list	(1, 2, 3)	[1, 2, 3]
dataclasses.dataclass	dict	Model(a=11, b="12")	{'a': 11, 'b': '12'}
pydantic.dataclasses.dataclass	dict	Model(a=11, b="12")	{'a': 11, 'b': '12'}
pydantic.BaseModel	dict	Model(a=11, b="12")	{'a': 11, 'b': '12'}

---

Last update: October 19, 2023
Created: October 18, 2023