def load_data_in_pandas(self, spreadsheet_ids: List[str]) -> List[pd.DataFrame]:
        """
        Load data from the input directory.

        Args:
            spreadsheet_ids (List[str]): a list of document ids.

        """
        if spreadsheet_ids is None:
            raise ValueError('Must specify a "spreadsheet_ids" in `load_kwargs`.')

        results = []
        for spreadsheet_id in spreadsheet_ids:
            dataframes = self._load_sheet_in_pandas(spreadsheet_id)
            results.extend(dataframes)
        return results

        Load data from the input directory.

        Args:
            spreadsheet_ids (List[str]): a list of document ids.

        
llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/sheets/base.py