def METHOD_NAME(self, df, suggested_actions):
    for action in suggested_actions:
        payload = action['action_payload']
        if payload['axis'] != 'row':
            continue
        df_transformed = BaseAction(payload).execute(df)
        row_removed = df.index.difference(df_transformed.index)
        row_removed = df.index.get_indexer(row_removed)
        row_removed = row_removed[np.where(row_removed <= SAMPLE_SIZE)]
        if len(row_removed) > 0:
            action['preview_results'] = dict(
                removed_row_indices=row_removed.tolist(),
            )