docs: def multi_plot_time(DataArray, SubSampleN=1, units='s', xlim=None, ylim=None, LabelArray=[], show_fig=True):
      """
      plot the time trace for multiple data sets on the same axes.
  
      Parameters
      ----------
      DataArray : array-like
          array of DataObject instances for which to plot the PSDs
      SubSampleN : int, optional
          Number of intervals between points to remove (to sub-sample data so
          that you effectively have lower sample rate to make plotting easier
          and quicker.
      xlim : array-like, optional
          2 element array specifying the lower and upper x limit for which to
          plot the time signal
      LabelArray : array-like, optional
          array of labels for each data-set to be plotted
      show_fig : bool, optional
         If True runs plt.show() before returning figure
         if False it just returns the figure object.
         (the default is True, it shows the figure) 
  
      Returns
      -------
      fig : matplotlib.figure.Figure object
          The figure object created
      ax : matplotlib.axes.Axes object
          The axes object created
      """
      unit_prefix = units[:-1] # removed the last char
      if LabelArray == []:
          LabelArray = ["DataSet {}".format(i)
                        for i in _np.arange(0, len(DataArray), 1)]
      fig = _plt.figure(figsize=properties['default_fig_size'])
      ax = fig.add_subplot(111)
      
      for i, data in enumerate(DataArray):
          ax.plot(unit_conversion(data.time.get_array()[::SubSampleN], unit_prefix), data.voltage[::SubSampleN],
                  alpha=0.8, label=LabelArray[i])
      ax.set_xlabel("time (s)")
      if xlim != None:
          ax.set_xlim(xlim)
      if ylim != None:
          ax.set_ylim(ylim)
      ax.grid(which="major")
      legend = ax.legend(loc="best", frameon = 1)
      frame = legend.get_frame()
      frame.set_facecolor('white')
      frame.set_edgecolor('white')
  
      ax.set_ylabel("voltage (V)")
      if show_fig == True:
          _plt.show()
      return fig, ax