nvtabular.ops.Filter

class nvtabular.ops.Filter(f: Callable[[pandas.core.frame.DataFrame], Union[pandas.core.frame.DataFrame, pandas.core.series.Series]])

Bases: nvtabular.ops.operator.Operator

Filters rows from the dataset. This works by taking a callable that accepts a dataframe, and returns a dataframe with unwanted rows filtered out.

For example to filter out all rows that have a negative value in the a column:

filtered = cont_names >> ops.Filter(f=lambda df: df["a"] >=0)
processor = nvtabular.Workflow(filtered)

Parameters

f (callable) – Defines a function that takes a dataframe as an argument, and returns a new dataframe with unwanted rows filtered out.

__init__(f: Callable[[pandas.core.frame.DataFrame], Union[pandas.core.frame.DataFrame, pandas.core.series.Series]])

Methods

__init__(f)
column_mapping(col_selector)
compute_column_schema(col_name, input_schema)
compute_input_schema(root_schema, …)	Given the schemas coming from upstream sources and a column selector for the input columns, returns a set of schemas for the input columns this operator will use :param root_schema: Base schema of the dataset before running any operators.
compute_output_schema(input_schema, col_selector)	Given a set of schemas and a column selector for the input columns, returns a set of schemas for the transformed columns this operator will produce :param input_schema: The schemas of the columns to apply this operator to :type input_schema: Schema :param col_selector: The column selector to apply to the input schema :type col_selector: ColumnSelector
compute_selector(input_schema, selector, …)
create_node(selector)
inference_initialize(col_selector, model_config)	Configures this operator for use in inference.
output_column_names(col_selector)	Given a set of columns names returns the names of the transformed columns this operator will produce :param columns: The columns to apply this operator to :type columns: list of str, or list of list of str
transform(col_selector, df)	Transform the dataframe by applying this operator to the set of input columns

Attributes

dependencies	Defines an optional list of column dependencies for this operator.
dynamic_dtypes
label
output_dtype
output_properties
output_tags
supports	Returns what kind of data representation this operator supports

transform(col_selector: merlin.dag.selector.ColumnSelector, df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame

Transform the dataframe by applying this operator to the set of input columns

Parameters

• columns (list of str or list of list of str) – The columns to apply this operator to

• df (Dataframe) – A pandas or cudf dataframe that this operator will work on

Returns

Returns a transformed dataframe for this operator

Return type

DataFrame