nvtabular.ops.Dropna
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class
nvtabular.ops.
Dropna
[source] Bases:
merlin.dag.operator.Operator
This operation detects and filters out rows with missing values.
Example usage:
# Use Dropna to define a NVTabular workflow # Default is None and will check all columns dropna_features = ['cat1', 'num1'] >> ops.Dropna() >> ... processor = nvtabular.Workflow(dropna_features)
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__init__
() Initialize self. See help(type(self)) for accurate signature.
Methods
__init__
()Initialize self.
column_mapping
(col_selector)Compute which output columns depend on which input columns
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
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
compute_selector
(input_schema, selector[, …])Provides a hook method for sub-classes to override to implement custom column selection logic.
create_node
(selector)export
(path, input_schema, output_schema, …)Export the class object as a config and all related files to the user defined path.
load_artifacts
([artifact_path])Load artifacts from disk required for operator function.
output_column_names
(col_selector)Given a set of columns names returns the names of the transformed columns this operator will produce
save_artifacts
([artifact_path])Save artifacts required to be reload operator state from disk
transform
(col_selector, df)Transform the dataframe by applying this operator to the set of input columns
validate_schemas
(parents_schema, …[, …])Provides a hook method that sub-classes can override to implement schema validation logic.
Attributes
dependencies
Defines an optional list of column dependencies for this operator.
dynamic_dtypes
export_name
Provides a clear common english identifier for this operator.
is_subgraph
label
output_dtype
output_properties
output_tags
supported_formats
supports
Returns what kind of data representation this operator supports
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transform
(col_selector: merlin.dag.selector.ColumnSelector, df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame[source] Transform the dataframe by applying this operator to the set of input columns
- Parameters
col_selector (ColumnSelector) – The columns to apply this operator to
transformable (Transformable) – A pandas or cudf dataframe that this operator will work on
- Returns
Returns a transformed dataframe or dictarray for this operator
- Return type
Transformable
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