Source code for nvtabular.ops.dropna

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# Copyright (c) 2021, NVIDIA CORPORATION.
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from nvtabular.dispatch import DataFrameType, annotate

from .operator import ColumnSelector, Operator


[docs]class Dropna(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) Parameters ---------- """
[docs] @annotate("Dropna_op", color="darkgreen", domain="nvt_python") def transform(self, col_selector: ColumnSelector, df: DataFrameType) -> DataFrameType: new_df = df.dropna(subset=col_selector.names or None) new_df.reset_index(drop=True, inplace=True) return new_df