hydromt.data_catalog.adapters.DatasetAdapter.transform#

DatasetAdapter.transform(ds: Dataset, metadata: SourceMetadata, *, variables: str | List[str] | None = None, time_range: Annotated[Tuple[datetime, datetime], BeforeValidator(func=_time_range_from_str, json_schema_input_type=PydanticUndefined), AfterValidator(func=_time_range_validate)] | None = None, handle_nodata: NoDataStrategy = NoDataStrategy.RAISE, single_var_as_array: bool = True) → Dataset | None[source]#

Return a clipped, sliced and unified Dataset.

For a detailed description see: get_dataset()