flytekitplugins.dolt.DoltTable#

class flytekitplugins.dolt.DoltTable(config: flytekitplugins.dolt.schema.DoltConfig, data: Union[pandas.core.frame.DataFrame, NoneType] = None)[source]#

Methods

Parameters
Return type

None

classmethod from_dict(kvs, *, infer_missing=False)#
Parameters

kvs (Optional[Union[dict, list, str, int, float, bool]]) –

Return type

dataclasses_json.api.A

classmethod from_json(s, *, parse_float=None, parse_int=None, parse_constant=None, infer_missing=False, **kw)#
Parameters

s (Union[str, bytes, bytearray]) –

Return type

dataclasses_json.api.A

classmethod schema(*, infer_missing=False, only=None, exclude=(), many=False, context=None, load_only=(), dump_only=(), partial=False, unknown=None)#
Parameters
  • infer_missing (bool) –

  • many (bool) –

  • partial (bool) –

Return type

dataclasses_json.mm.SchemaF[dataclasses_json.mm.A]

to_dict(encode_json=False)#
Return type

Dict[str, Optional[Union[dict, list, str, int, float, bool]]]

to_json(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, indent=None, separators=None, default=None, sort_keys=False, **kw)#
Parameters
Return type

str

Attributes

data: Optional[pandas.core.frame.DataFrame] = None#
config: flytekitplugins.dolt.schema.DoltConfig#