docs: def plot_summary(self, cycles=None):
          """Convenience function for plotting the summary of the fit"""
          if cycles is None:
              cycles = [0]
          fig1 = plt.figure()
          ax1 = fig1.add_subplot(221)
          ax1.set_title('Fit')
          ax2 = fig1.add_subplot(222)
          ax2.set_title('OCV')
          ax3 = fig1.add_subplot(223)
          ax3.set_title('Tau')
          ax3.set_yscale("log")
          ax4 = fig1.add_subplot(224)
          ax4.set_title('Voltage Impact')
  
          plot_data = self.get_best_fit_data()
          for cycle in cycles:
              ax1.plot(plot_data[cycle][0], plot_data[cycle][1])
              ax1.plot(plot_data[cycle][0], plot_data[cycle][2])
  
          plot_data = self.get_best_fit_parameters_grouped()
  
          for i in range(self.circuits):
              ax3.plot(self.get_fit_cycles(), plot_data['t' + str(i)])
              ax4.plot(self.get_fit_cycles(), plot_data['w' + str(i)])
  
          ax2.plot(self.get_fit_cycles(), plot_data['ocv'])