How to use the pyxrf.model.load_data_from_db.flip_data function in pyxrf

datashape = start_doc['dimensions']
                elif 'shape' in start_doc:
                    datashape = start_doc['shape']
                else:
                    logger.error('No dimension/shape is defined in hdr.start.')

                datashape = [datashape[1], datashape[0]]  # vertical first, then horizontal
                for k in extra_list:
                    # k = k.encode('utf-8')
                    if k not in other_data.keys():
                        continue
                    _v = np.array(other_data[k])
                    v = _v.reshape(datashape)
                    if fly_type in ('pyramid',):
                        # flip position the same as data flip on det counts
                        v = flip_data(v, subscan_dims=subscan_dims)
                    data_dict[k] = v
    return data_dict