old_contents: import matplotlib.pyplot as plt; plt.rcdefaults()
  import numpy as np
  import matplotlib.pyplot as plt
  import pickle
  with open('firefox-bot/config/iframe.txt', 'r') as loginInfo:
      newName = loginInfo.readline()
      newName = newName.rstrip()
  def load_obj(name):
      with open(name + '.pkl', 'rb') as f:
          return pickle.load(f)
  stats = load_obj('firefox-bot/statistics/' + newName)
  print(stats)
  v = stats['vouchers']
  spins = v/5
  wheelItems = ('skillBoat', 'superCase', 'superBoat', 'legendary')
  y_pos = np.arange(len(wheelItems))
  width=(1/2.5)
  for index, item in enumerate(wheelItems):
      plt.bar(index, stats[item], width, label=item + ' ' + str(round((stats[item]/spins)*100, 3)) + '%')
              #' frequency: 1 / ' + str(round(spins/stats[item])))
      if(stats[item] and item != 'skill'):
          print(item, '1 out of ', round(spins/stats[item]), ' spins')
  plt.legend(loc='best')
  plt.xticks(y_pos, wheelItems)
  plt.ylabel('total collected')
  plt.xlabel('items')
  plt.title('totalSpins: ' + str(int(spins)))
  plt.show()
  
new_contents: import matplotlib.pyplot as plt; plt.rcdefaults()
  import numpy as np
  import matplotlib.pyplot as plt
  import pickle
  with open('firefox-bot/config/iframe.txt', 'r') as loginInfo:
      newName = loginInfo.readline()
      newName = newName.rstrip()
      
  def load_obj(name):
      with open(name + '.pkl', 'rb') as f:
          return pickle.load(f)
      
  stats = load_obj('firefox-bot/statistics/' + newName)
  print(stats)
  v = stats['vouchers']
  spins = v/5
  wheelItems = ('skillBoat', 'superCase', 'superBoat', 'legendary')
  y_pos = np.arange(len(wheelItems))
  width=(1/2.5)
  
  for index, item in enumerate(wheelItems):
      plt.bar(index, stats[item], width, label=item + ' ' + str(round((stats[item]/spins)*100, 3)) + '%')
      if stats[item] and item != 'skill':
          print(item, '1 out of ', round(spins/stats[item]), ' spins')
          
  plt.legend(loc='best')
  plt.xticks(y_pos, wheelItems)
  plt.ylabel('total collected')
  plt.xlabel('items')
  plt.title('totalSpins: ' + str(int(spins)))
  plt.show()
  
subject: Update Visualization-luckyWheel.py