BatchUpdateDatasetMetadataInnerSkipRowCount

pydantic model openapi_client.models.batch_update_dataset_metadata_inner_skip_row_count.BatchUpdateDatasetMetadataInnerSkipRowCount

BatchUpdateDatasetMetadataInnerSkipRowCount

Fields:

• footer (int | None)

• header (int | None)

field header: Optional[Annotated[int, Field(strict=True, ge=0)]] = None

field footer: Optional[Annotated[int, Field(strict=True, ge=0)]] = None

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of BatchUpdateDatasetMetadataInnerSkipRowCount from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of BatchUpdateDatasetMetadataInnerSkipRowCount from a dict

Return type:

Optional[Self]