Smart live plotting of an averaged quantity

[Rueschi (Rueschi1)]

During my measurements I loop over the microwave frequency multiple times.

Is there a nice way of using the plottr to visualize the averaged graph (so average of the multiple values per frequency point)?

  meas = Measurement(exp=exp, name=name, station=station)
  meas.write_period = 0.1  # live flushing
  
  meas.register_parameter(sg.frequency)
  sig_param = Parameter("sig", unit="counts/s", get_cmd=None, set_cmd=None)
  avg_sig_param = Parameter("avg_sig", unit="counts/s", get_cmd=None, set_cmd=None)
  meas.register_parameter(sig_param, setpoints=(sg.frequency,))
  meas.register_parameter(avg_sig_param, setpoints=(sg.frequency,))
  
  freqs = np.linspace(start_f, stop_f, n_points)
  
  sum_sig = np.zeros_like(freqs, float)
  n_sig = np.zeros_like(freqs, int)
  
  with meas.run() as datasaver:
      # 1) stream per-shot data
      for rep in range(repetitions):
          for i, f in enumerate(freqs):
              sg.frequency(float(f))
              sg.output(1)
              sig = float(daq.count_rate())
              sg.output(0)
  
              if np.isfinite(sig):
                  sum_sig[i] += sig
                  n_sig[i] += 1
  
              datasaver.add_result(
                  (sg.frequency, float(f)),
                  (sig_param, sig),
              )
  
      # 2) write one averaged row per frequency
      avg_sig = np.where(n_sig > 0, sum_sig / n_sig, np.nan)
      for f, s in zip(freqs, avg_sig):
          datasaver.add_result(
              (sg.frequency, float(f)),
              (avg_sig_param, float(s)),
          )

Happy for any hints and experiences!!!