code: def enable_ipython(self, **kwargs):
          
  
          # inspired by code powering similar functionality in mpld3
          # https://github.com/jakevdp/mpld3/blob/master/mpld3/_display.py#L357
  
          from IPython.core.getipython import get_ipython
          from IPython.display import display, Javascript, HTML
  
          self.ipython_enabled = True
          self.set_size('medium')
  
          ip = get_ipython()
          formatter = ip.display_formatter.formatters['text/html']
  
          if self.local_enabled:
              from lightning.visualization import VisualizationLocal
              js = VisualizationLocal.load_embed()
              display(HTML("<script>" + js + "</script>"))
              if not self.quiet:
                  print('Running local mode, some functionality limited.\n')
              formatter.for_type(VisualizationLocal, lambda viz, kwds=kwargs: viz.get_html())
          else:
              formatter.for_type(Visualization, lambda viz, kwds=kwargs: viz.get_html())
              r = requests.get(self.get_ipython_markup_link(), auth=self.auth)
              display(Javascript(r.text))
docs: Enable plotting in the iPython notebook.
  
          Once enabled, all lightning plots will be automatically produced
          within the iPython notebook. They will also be available on
          your lightning server within the current session.