How to use the pyxrf.model.fileio.save_fitdata_to_hdf function in pyxrf

#   det1, det2, ... , i.e. 'det' followed by integer number.
        # The channel name is always located at the end of the ``data_title``.
        # If the channel name is found, then build the path using this name.
        srch = re.search("det\d+$", self.data_title)  # noqa: W605
        if srch:
            det_name = srch.group(0)
            fit_name = f"{prefix_fname}_{det_name}_fit"
        inner_path = f"xrfmap/{det_name}"

        # Update GUI so that results can be seen immediately
        self.fit_img[fit_name] = self.result_map

        if not os.path.isfile(self.hdf_path):
            raise IOError(f"File '{self.hdf_path}' does not exist. Data is not saved to HDF5 file.")

        save_fitdata_to_hdf(self.hdf_path, self.result_map, datapath=inner_path)

        # output error
        if pixel_fit == 'nonlinear':
            error_map = calculation_info['error_map']
            save_fitdata_to_hdf(self.hdf_path, error_map, datapath=inner_path,
                                data_saveas='xrf_fit_error',
                                dataname_saveas='xrf_fit_error_name')

def saveROImap_to_hdf(self, data_dict_roi):

        # Generate the path to computed ROIs in the HDF5 file
        det_name = "detsum"  # Assume that ROIs are computed using the sum of channels

        # Search for channel name in the data title. Channels are named
        #   det1, det2, ... , i.e. 'det' followed by integer number.
        # The channel name is always located at the end of the ``data_title``.
        # If the channel name is found, then build the path using this name.
        srch = re.search("det\d+$", self.data_title)  # noqa: W605
        if srch:
            det_name = srch.group(0)
        inner_path = f"xrfmap/{det_name}"

        try:
            save_fitdata_to_hdf(self.hdf_path, data_dict_roi, datapath=inner_path,
                                data_saveas='xrf_roi', dataname_saveas='xrf_roi_name')
        except Exception as ex:
            logger.error(f"Failed to save ROI data to file '{self.hdf_path}'\n"
                         f"    Exception: {ex}")
        else:
            logger.info(f"ROI data was successfully saved to file '{self.hdf_name}'")

det_name = srch.group(0)
            fit_name = f"{prefix_fname}_{det_name}_fit"
        inner_path = f"xrfmap/{det_name}"

        # Update GUI so that results can be seen immediately
        self.fit_img[fit_name] = self.result_map

        if not os.path.isfile(self.hdf_path):
            raise IOError(f"File '{self.hdf_path}' does not exist. Data is not saved to HDF5 file.")

        save_fitdata_to_hdf(self.hdf_path, self.result_map, datapath=inner_path)

        # output error
        if pixel_fit == 'nonlinear':
            error_map = calculation_info['error_map']
            save_fitdata_to_hdf(self.hdf_path, error_map, datapath=inner_path,
                                data_saveas='xrf_fit_error',
                                dataname_saveas='xrf_fit_error_name')