How to use the nwbwidgets.utils.timeseries.timeseries_time_to_ind function in nwbwidgets

Duration in seconds. Default:
    trace_window: [int int], optional
        Index range of traces to view
    title: str, optional
    ylabel: str, optional

    Returns
    -------

    """

    if time_window is None:
        t_ind_start = 0
        t_ind_stop = None
    else:
        t_ind_start = timeseries_time_to_ind(time_series, time_window[0])
        t_ind_stop = timeseries_time_to_ind(time_series, time_window[1])

    if trace_window is None:
        trace_window = [0, time_series.data.shape[1]]
    tt = get_timeseries_tt(time_series, t_ind_start, t_ind_stop)
    if time_series.data.shape[1] == len(tt):  # fix of orientation is incorrect
        mini_data = time_series.data[trace_window[0]:trace_window[1], t_ind_start:t_ind_stop].T
    else:
        mini_data = time_series.data[t_ind_start:t_ind_stop, trace_window[0]:trace_window[1]]

    gap = np.median(np.nanstd(mini_data, axis=0)) * 20
    offsets = np.arange(trace_window[1] - trace_window[0]) * gap

    fig, ax = plt.subplots()
    ax.figure.set_size_inches(12, 6)
    ax.plot(tt, mini_data + offsets)

def show_trace(timeseries, time_window):
    istart = timeseries_time_to_ind(timeseries, time_window[0])
    istop = timeseries_time_to_ind(timeseries, time_window[1])

    return show_timeseries_mpl(timeseries, istart=istart, istop=istop).get_figure()

trace_window: [int int], optional
        Index range of traces to view
    title: str, optional
    ylabel: str, optional

    Returns
    -------

    """

    if time_window is None:
        t_ind_start = 0
        t_ind_stop = None
    else:
        t_ind_start = timeseries_time_to_ind(time_series, time_window[0])
        t_ind_stop = timeseries_time_to_ind(time_series, time_window[1])

    if trace_window is None:
        trace_window = [0, time_series.data.shape[1]]
    tt = get_timeseries_tt(time_series, t_ind_start, t_ind_stop)
    if time_series.data.shape[1] == len(tt):  # fix of orientation is incorrect
        mini_data = time_series.data[trace_window[0]:trace_window[1], t_ind_start:t_ind_stop].T
    else:
        mini_data = time_series.data[t_ind_start:t_ind_stop, trace_window[0]:trace_window[1]]

    gap = np.median(np.nanstd(mini_data, axis=0)) * 20
    offsets = np.arange(trace_window[1] - trace_window[0]) * gap

    fig, ax = plt.subplots()
    ax.figure.set_size_inches(12, 6)
    ax.plot(tt, mini_data + offsets)
    ax.set_xlabel('time (s)')

def show_trace(timeseries, time_window):
    istart = timeseries_time_to_ind(timeseries, time_window[0])
    istop = timeseries_time_to_ind(timeseries, time_window[1])

    return show_timeseries_mpl(timeseries, istart=istart, istop=istop).get_figure()