f80b5ae1f55a979e24fd8afcea2c1fab280b0c70,featuretools/computational_backends/pandas_backend.py,PandasBackend,_calculate_agg_features,#PandasBackend#Any#Any#,362

Before Change

        iterfeats = [f for f in features
                     if hasattr(f.default_value, "__iter__")]
        for f in iterfeats:
            nulls = pd.isnull(frame[f.get_name()])
            for ni in nulls[nulls].index:
                frame.at[ni, f.get_name()] = f.default_value

        // 2. handle scalars default values
        fillna_dict = {f.get_name(): f.default_value for f in features
                       if f not in iterfeats}
        frame.fillna(fillna_dict, inplace=True)

After Change

        fillna_dict = {}
        for f in features:
            feature_defaults = {name: f.default_value
                                for name in f.get_feature_names()}
            fillna_dict.update(feature_defaults)

        frame.fillna(fillna_dict, inplace=True)

Instances