text: import plotly.graph_objs as go
  from plotly.offline import plot
  
  
  def time_series_cpu_per_task_plot(df_resources, resource_type, label):
      if resource_type == "psutil_process_cpu_percent":
          yaxis = dict(title="CPU utilization")
      else:
          yaxis = dict(title='Accumulated CPU user time (seconds)')
      fig = go.Figure(data=[go.Scatter(x=df_resources['timestamp'],
                                       y=df_resources[resource_type])],
                      layout=go.Layout(xaxis=dict(tickformat='%m-%d\n%H:%M:%S',
                                                  autorange=True,
                                                  title='Time'),
                                       yaxis=yaxis,
                                       title=label))
  
      return plot(fig, show_link=False, output_type="div", include_plotlyjs=False)
  
  
  def time_series_memory_per_task_plot(df_resources, resource_type, label):
      if resource_type == "psutil_process_memory_percent":
          yaxis = dict(title="Memory utilization")
          data = [go.Scatter(x=df_resources['timestamp'],
                             y=df_resources[resource_type])]
      else:
          yaxis = dict(title='Memory usage (GB)')
          data = [go.Scatter(x=df_resources['timestamp'],
                             y=[num / 1000000000 for num in df_resources[resource_type].astype(float)])]
      fig = go.Figure(data=data,
                      layout=go.Layout(xaxis=dict(tickformat='%m-%d\n%H:%M:%S',
                                                  autorange=True,
                                                  title='Time'),
                                       yaxis=yaxis,
                                       title=label))
      return plot(fig, show_link=False, output_type="div", include_plotlyjs=False)
  