DataFrameParser(schema: IdSchemaObjectT, mapping: Mapping[SchemaField, str] | None = None) : DataFrameParser gets a pd.DataFrame and using column-string mapping it transforms the DataFrame to a desired schema.
Initialize DataParser
Get the desired output schema and initialize a default mapping
that can be extended by DataParser realizations.
Args:
schema (IdSchemaObjectT): SchemaObject describing the desired output.
mapping (Mapping[SchemaField, str], optional): Realizations can use the `SchemaField` to `str` mapping
to define their custom mapping logic.
Raises:
InitializationException: Parameter `schema` is of invalid type.
### Ancestors (in MRO)
* superlinked.framework.common.parser.data_parser.DataParser
* abc.ABC
* typing.Generic
### Methods
`unmarshal(self, data: pd.DataFrame) ‑> list[superlinked.framework.common.parser.parsed_schema.ParsedSchema]`
: Parses the given DataFrame into a list of ParsedSchema objects according to the defined schema and mapping.
Args:
data (pd.DataFrame): Pandas DataFrame input.
Returns:
list[ParsedSchema]: A list of ParsedSchema objects that will be processed by the spaces.
