code: def draw_dynamics_set(
      dynamics,
      xtitle=None,
      ytitle=None,
      xlim=None,
      ylim=None,
      xlabels=False,
      ylabels=False,
  ):
      """!
      @brief Draws dynamic of each neuron (oscillator) in an oscillatory network.
  
      @param[in] dynamics (list): List of network outputs that are represented by values of output of oscillators (used by y axis).
      @param[in] xtitle (string): Title for Y.
      @param[in] ytitle (string): Title for X.
      @param[in] xlim (double): X limit.
      @param[in] ylim (double): Y limit.
      @param[in] xlabels (bool): If True - shows X labels.
      @param[in] ylabels (bool): If True - shows Y labels.
  
      """
      # Calculate edge for comfortable representation.
      number_dynamics = len(dynamics)
      if number_dynamics == 1:
          figure, _ = draw_dynamics(
              dynamics[0][0],
              dynamics[0][1],
              xtitle,
              ytitle,
              xlim,
              ylim,
              xlabels,
              ylabels,
          )
          plt.close(figure)
          return
  
      number_cols = int(numpy.ceil(number_dynamics**0.5))
      number_rows = int(numpy.ceil(number_dynamics / number_cols))
  
      real_index = 0, 0
      double_indexer = True
      if (number_cols == 1) or (number_rows == 1):
          real_index = 0
          double_indexer = False
  
      figure, axarr = plt.subplots(number_rows, number_cols)
      # plt.setp([ax for ax in axarr], visible = False);
  
      for dynamic in dynamics:
          axarr[real_index] = draw_dynamics(
              dynamic[0],
              dynamic[1],
              xtitle,
              ytitle,
              xlim,
              ylim,
              xlabels,
              ylabels,
              axis=axarr[real_index],
          )
          # plt.setp(axarr[real_index], visible = True);
  
          if double_indexer is True:
              real_index = real_index[0], real_index[1] + 1
              if real_index[1] >= number_cols:
                  real_index = real_index[0] + 1, 0
          else:
              real_index += 1
  
      plt.show()
      plt.close(figure)
  
imports: import time
  import numpy
  from numpy import array
  from PIL import Image
  import matplotlib.pyplot
  from sys import platform
  from pyclustering.utils.metric import distance_metric, type_metric
label_desc: Use image node_id 24 for calling a global function with example usage: draw_dynamics_set(dynamics, xtitle, ytitle, xlim, ylim, xlabels, ylabels) without return types