How to use the nwbwidgets.base.show_text_fields function in nwbwidgets

'Session Raster': misc.RasterWidget,
        'Grouped PSTH': misc.PSTHWidget,
        'Raster Grid': misc.RasterGridWidget,
        'table': show_dynamic_table}),
    pynwb.misc.DecompositionSeries: misc.show_decomposition_series,
    pynwb.file.Subject: base.show_fields,
    pynwb.ophys.ImagingPlane: base.show_fields,
    pynwb.ecephys.SpikeEventSeries: ecephys.show_spike_event_series,
    pynwb.ophys.ImageSegmentation: ophys.show_image_segmentation,
    pynwb.ophys.TwoPhotonSeries: ophys.show_two_photon_series,
    ndx_grayscalevolume.GrayscaleVolume: ophys.show_grayscale_volume,
    pynwb.ophys.PlaneSegmentation: ophys.show_plane_segmentation,
    pynwb.ophys.DfOverF: ophys.show_df_over_f,
    pynwb.ophys.RoiResponseSeries: ophys.RoiResponseSeriesWidget,
    pynwb.misc.AnnotationSeries: OrderedDict({
        'text': base.show_text_fields,
        'times': misc.show_annotations}),
    pynwb.core.LabelledDict: base.dict2accordion,
    pynwb.ProcessingModule: base.processing_module,
    hdmf.common.DynamicTable: show_dynamic_table,
    pynwb.ecephys.ElectricalSeries: ecephys.ElectricalSeriesWidget,
    pynwb.behavior.Position: behavior.show_position,
    pynwb.behavior.SpatialSeries: OrderedDict({
        'over time': timeseries.SeparateTracesPlotlyWidget,
        'trace': behavior.plotly_show_spatial_trace}),
    pynwb.image.GrayscaleImage: image.show_grayscale_image,
    pynwb.image.RGBImage: image.show_rbg_image,
    pynwb.image.ImageSeries: image.show_image_series,
    pynwb.image.IndexSeries: image.show_index_series,
    pynwb.TimeSeries: timeseries.show_timeseries,
    pynwb.core.NWBDataInterface: base.show_neurodata_base,
    h5py.Dataset: base.show_dset

def show_spatial_series_over_time(node: SpatialSeries, **kwargs):

    text_widget = base.show_text_fields(
        node, exclude=('timestamps_unit', 'comments', 'data', 'timestamps', 'interval'))

    data, unit = get_timeseries_in_units(node)

    if len(data.shape) == 1:
        ndims = 1
    else:
        ndims = data.shape[1]

    tt = get_timeseries_tt(node)

    if ndims == 1:
        fig, ax = plt.subplots()
        ax.plot(tt, data, **kwargs)
        ax.set_xlabel('t (sec)')
        if unit: