NanRemover

Converter

DashAI.back.converters.simple_converters.NanRemover

Remove rows that contain NaN (or null-like) values in the scoped columns.

Only the columns selected in scope are scanned for nulls; rows with nulls in those columns are dropped from the dataset. String representations of null such as "None", "nan", "N/A" are also treated as missing.

Methods

changes_row_count(self) -> bool

Defined on NanRemover

Return True because this converter removes rows with null values.

Returns

bool: Always True.

fit(self, x: 'DashAIDataset', y: 'DashAIDataset' = None) -> 'NanRemover'

Defined on NanRemover

Record the scoped column names and their types for use in transform.

Parameters

x : DashAIDataset: The scoped dataset whose column names and types are stored.
y : DashAIDataset, optional: Ignored. Defaults to None.

Returns

NanRemover: The fitted converter instance (self).

get_output_type(self, column_name: str = None) -> DashAI.back.types.dashai_data_type.DashAIDataType

Defined on NanRemover

Return the preserved type for a column, or a Text placeholder.

Parameters

column_name : str, optional: Name of the column to look up. Defaults to None.

Returns

DashAIDataType: The original type stored during fit if available; otherwise a Text type backed by pyarrow.string().

transform(self, x: 'DashAIDataset', y: 'DashAIDataset' = None) -> 'DashAIDataset'

Defined on NanRemover

Drop all rows containing null or null-like values in the scoped columns.

Parameters

x : DashAIDataset: The dataset to clean.
y : DashAIDataset, optional: Ignored. Defaults to None.

Returns

DashAIDataset: A new dataset with null-containing rows removed.

get_metadata(cls) -> 'Dict[str, Any]'

Defined on BaseConverter

Get metadata for the converter, used by the DashAI frontend.

Parameters

cls : type: The converter class (injected automatically by Python for classmethods).

Returns

Dict[str, Any]: Dictionary containing display name, short description, image preview path, category, icon, color, and whether the converter is supervised.

get_schema(cls) -> dict

Defined on ConfigObject

Generates the component related Json Schema.

Returns

dict: Dictionary representing the Json Schema of the component.

validate_and_transform(self, raw_data: dict) -> dict

Defined on ConfigObject

It takes the data given by the user to initialize the model and returns it with all the objects that the model needs to work.

Parameters

raw_data : dict: A dictionary with the data provided by the user to initialize the model.

Returns

dict: A validated dictionary with the necessary objects.

Methods​

Methods