code: def plot(self, overlay=True, **labels): # pragma: no cover
          '''Plot all time series in the group.'''
          pylab = LazyImport.pylab()
          colours = list('rgbymc')
          colours_len = len(colours)
          colours_pos = 0
          plots = len(self.groups)
          for name, series in self.groups.iteritems():
              colour = colours[colours_pos % colours_len]
              colours_pos += 1
              if not overlay:
                  pylab.subplot(plots, 1, colours_pos)
              kwargs = {}
              if name in labels:
                  name = labels[name]
              if name is not None:
                  kwargs['label'] = name
              pylab.plot(series.dates, series.values, '%s-' % colour, **kwargs)
              if name is not None:
                  pylab.legend()
          pylab.show(f plot(self, overlay=True, **labels): # pragma: no cover
          '''Plot all time series in the group.'''
          pylab = LazyImport.pylab()
          colours = list('rgbymc')
          colours_len = len(colours)
          colours_pos = 0
          plots = len(self.groups)
          for name, series in self.groups.iteritems():
              colour = colours[colours_pos % colours_len]
              colours_pos += 1
              if not overlay:
                  pylab.subplot(plots, 1, colours_pos)
              kwargs = {}
              if name in labels:
                  name = labels[name]
              if name is not None:
                  kwargs['label'] = name
              pylab.plot(series.dates, series.values, '%s-' % colour, **kwargs)
              if name is not None:
                  pylab.legend()
          pylab.show()
docs: Plot all time series in the group.