openmnglab.datamodel.pandas.model.PandasInputDataScheme

class openmnglab.datamodel.pandas.model.PandasInputDataScheme(schema: TPandasScheme)

Bases: Generic[TPandasScheme], PandasDataScheme[TPandasScheme], IInputDataScheme

__init__(schema: TPandasScheme)

Methods

__init__(schema)
accepts(output_data_scheme)	Assess whether this scheme would accept the other data scheme as input.
transform(data_container)	Transform a data container to fit this scheme

Attributes

pandera_schema

accepts(output_data_scheme: IOutputDataScheme) → bool

Assess whether this scheme would accept the other data scheme as input.

If the schemes are incompatible, the function may either raise an exception containing further details on why the other data scheme is not accepted as input or just return False

Raises:

DataSchemeCompatibilityError – If the data schemes are not compatible and further details are available

Parameters:

output_data_scheme – Output data scheme to check for compatibility

Returns:

True if the output data scheme is accepted as input, False otherwise

transform(data_container: IDataContainer) → IDataContainer

Transform a data container to fit this scheme

Modifies the contents of the data container so they fit an anonymous data scheme which is actually accepted by the function. MAY return the input-object without modification.

Parameters:

data_container – Data container containing the data which is expected to be passed to this function

Returns:

A modified dataset from the input data container or the same object