docs: def plot_noncontiguous(ax, data, ind, color='black', label='', offset=0,
          linewidth=0.5, linestyle='-'):
      '''Plot non-contiguous slice of data
  
      Args
      ----
      data: ndarray
          The data with non continguous regions to plot
      ind: ndarray
          indices of data to be plotted
      color: matplotlib color
          Color of plotted line
      label: str
          Name to be shown in legend
      offset: int
          The number of index positions to reset start of data to zero
      linewidth: float
          The width of the plotted line
      linstyle: str
          The char representation of the plotting style for the line
  
      Returns
      -------
      ax: pyplot.ax
          Axes object with line glyph added for non-contiguous regions
      '''
  
      def slice_with_nans(ind, data, offset):
          '''Insert nans in indices and data where indices non-contiguous'''
          import copy
          import numpy
  
          ind_nan          = numpy.zeros(len(data))
          ind_nan[:]       = numpy.nan
  
          # prevent ind from overwrite with deepcopy
          ind_nan[ind-offset] = copy.deepcopy(ind)
          #ind_nan             = ind_nan[ind[0]-offset:ind[-1]-offset]
  
          # prevent data from overwrite with deepcopy
          data_nan = copy.deepcopy(data)
          data_nan[numpy.isnan(ind_nan)] = numpy.nan
  
          return ind_nan, data_nan
  
      x, y = slice_with_nans(ind, data, offset)
      ax.plot(x, y, color=color, linewidth=linewidth, linestyle=linestyle,
              label=label)
  
      return ax