lale.datasets.data_schemas module

class lale.datasets.data_schemas.DataFrameWithSchema(data=None, index: Axes | None = None, columns: Axes | None = None, dtype: Dtype | None = None, copy: bool | None = None)

Bases: DataFrame

class lale.datasets.data_schemas.NDArrayWithSchema(shape, dtype=<class 'float'>, buffer=None, offset=0, strides=None, order=None, json_schema=None, table_name=None)

Bases: ndarray

class lale.datasets.data_schemas.SeriesWithSchema(data=None, index=None, dtype: Dtype | None = None, name=None, copy: bool | None = None, fastpath: bool | lib.NoDefault = _NoDefault.no_default)

Bases: Series

class lale.datasets.data_schemas.SparkDataFrameWithIndex(df, index_names=None)

Bases: object

property index_name: Optional[str]

property index_names: List[str]

property schema: Any

toPandas(*args, **kwargs) → DataFrame

lale.datasets.data_schemas.add_schema(obj, schema=None, raise_on_failure=False, recalc=False) → Any

lale.datasets.data_schemas.add_schema_adjusting_n_rows(obj, schema)

lale.datasets.data_schemas.add_table_name(obj, name) → Any

lale.datasets.data_schemas.csr_matrix_to_schema(matrix) → Dict[str, Any]

lale.datasets.data_schemas.dataframe_to_schema(df) → Dict[str, Any]

lale.datasets.data_schemas.dtype_to_schema(typ) → Dict[str, Any]

lale.datasets.data_schemas.forward_metadata(old, new)

lale.datasets.data_schemas.get_index_name(obj)

lale.datasets.data_schemas.get_index_names(obj)

lale.datasets.data_schemas.get_table_name(obj)

lale.datasets.data_schemas.is_liac_arff(obj) → bool

lale.datasets.data_schemas.is_list_tensor(obj) → bool

lale.datasets.data_schemas.liac_arff_to_schema(larff) → Dict[str, Any]

lale.datasets.data_schemas.list_tensor_to_schema(ls) → Optional[Dict[str, Any]]

lale.datasets.data_schemas.list_tensor_to_shape_and_dtype(ls) → Optional[Tuple[Tuple[int, ...], Type]]

lale.datasets.data_schemas.make_optional_schema(schema: Dict[str, Any]) → Dict[str, Any]

lale.datasets.data_schemas.ndarray_to_schema(array) → Dict[str, Any]

lale.datasets.data_schemas.series_to_schema(series) → Dict[str, Any]

lale.datasets.data_schemas.shape_and_dtype_to_schema(shape, dtype) → Dict[str, Any]

lale.datasets.data_schemas.spark_df_to_schema(df) → Dict[str, Any]

lale.datasets.data_schemas.strip_schema(obj)

lale.datasets.data_schemas.to_schema(obj) → Dict[str, Any]

lale.datasets.data_schemas.torch_tensor_to_schema(tensor) → Dict[str, Any]