new_contents: # to be executed as Jupyter notebook
  get_ipython().system('pip install plotly --upgrade')
  
  from plotly import __version__
  from plotly.offline import download_plotlyjs, init_notebook_mode, iplot
  import json
  import plotly.graph_objs as go
  
  print(__version__)  # requires version >= 1.9.0
  
  
  init_notebook_mode()  # run at the start of every ipython notebook to use plotly.offline this injects the plotly.js source files into the notebook
  
  sce_t = []
  sce_y = []
  fi_t = []
  fi_y = []
  n9_t = []
  n9_y = []
  ex_t = []
  ex_y = []
  ex_text = []
  st_t = []
  st_y = []
  st_text = []
  
  with open('C:\\Users\\kshileev\\desktop\\logs\\json_new.log') as f:
      for line in f:
          j = json.loads(line)
          timestamp = j['@timestamp']
          if j.get('status', 'None') == 'Start':
              st_t += [timestamp]
              st_y += [10]
              st_text += [j['name']]
          if 'n_ports' in j:
              sce_t += [timestamp]
              sce_y += [j['n_ports']]
          if 'ucsm' in j['name'] and 'n_vlans' in j:
              fi_t += [timestamp]
              fi_y += [j['n_vlans']]
          if 'nexus' in j['name'] and 'n_vlans' in j:
              if 'service' not in j:
                  n9_t += [timestamp]
                  n9_y += [j['n_vlans']]
          if 'EXCEPTION' in j:
              ex_t += [timestamp]
              ex_y += [1]
              ex_text += [j['EXCEPTION']]
  
  sce = go.Scatter(x=sce_t, y=sce_y, text=['th net-sub-port']*len(sce_t), name='load', mode='markers')
  fi = go.Scatter(x=fi_t, y=fi_y, text=['vlans']*len(fi_t), name='FI', mode='markers')
  n9 = go.Scatter(x=n9_t, y=n9_y, text=['vlans']*len(n9_t), name='N9K', mode='markers')
  ex = go.Scatter(x=ex_t, y=ex_y, text=ex_text, name='Exceptions={0}'.format(len(ex_t)), mode='markers')
  st = go.Scatter(x=st_t, y=st_y, text=st_text, name='Starts={0}'.format(len(st_t)), mode='markers')
  
  data = [st, ex, sce, fi, n9]
  
  iplot(data)
  
subject: Add plotly based grapher tool as Jupyter notebook cell