Dropna

class nvtabular.ops.Dropna[source]

Bases: nvtabular.ops.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)

transform(col_selector: nvtabular.columns.selector.ColumnSelector, df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame[source]