da3630c4eccc04079e465256786f65d6d87e7b1f,pdpipe/sklearn_stages.py,Scale,_fit_transform,#Scale#Any#Any#,220

Before Change

        return True

    def _fit_transform(self, df, verbose):
        cols_to_exclude = self._exclude_columns.copy()
        if self._exclude_obj_cols:
            obj_cols = list((df.dtypes[df.dtypes == object]).index)
            obj_cols = [x for x in obj_cols if x not in cols_to_exclude]
            cols_to_exclude += obj_cols
        self._col_order = list(df.columns)
        if cols_to_exclude:
            excluded = df[cols_to_exclude]
            apply_to = df[
                [col for col in df.columns if col not in cols_to_exclude]
            ]
        else:

After Change

                    self._columns_to_scale
                )
            )
        if len(unscaled_cols) > 0:
            unscaled = df[unscaled_cols]
            inter_df = pd.concat([inter_df, unscaled], axis=1)
            inter_df = inter_df[col_order]
        self.is_fitted = True
        return inter_df

    def _transform(self, df, verbose):

Instances