text: import glob
  import csv
  import sys
  import matplotlib.pyplot as plt
  import numpy as np
  import pandas as pd
  import seaborn as sns
  
  files = glob.glob(sys.argv[1])
  #what = int(sys.argv[3])
  #record_file_name = str(sys.argv[4])
  for f in files:
      #with open(f) as lines:
          #array = csv.reader(lines)
          #print(type(array))
          #boxx = (np.array(list(array)))
      #boxx = np.loadtxt(f,dtype=np.int,delimiter=',',encoding='utf-8')
      #plt.figure(figsize=(10,5))
      #plt.title('Examples of boxplot',fontsize=20)
      #boxx.reshape(len(boxx),1)
      colnames = ['latency']
      df = pd.read_csv(f,header=None,names=colnames)
      #dataT = [[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32],[1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4],['a','a','a','a','b','b','b','b','a','a','a','a','b','b','b','b','a','a','a','a','b','b','b','b','a','a','a','a','b','b','b','b']]
      #df = pd.DataFrame(dataT,columns=['y','x','cat'])
      
      sns.boxplot(data=df,y='latency',showfliers=False)
      #plt.boxplot(df,patch_artist = True,showfliers=False, labels=['a','b','c'],boxprops = {'color':'black','facecolor':'pink'})
      #plt.show()
      plt.savefig('show.svg',dpi=600,bbox_inches='tight')
  