text: import json
  import matplotlib.pyplot as plt
  import math
  data = json.load(open("correct-trace.json"))
  
  total_duration = {}
  
  for tphit in data["traceEvents"]:
      if (tphit["cat"]=="functionDuration"):
          name = tphit["name"]
  
          if (tphit["ph"]=="B"):
              if name in total_duration:
                  total_duration[name][1]=tphit["ts"]
              else:
                  total_duration[name]=[0,tphit["ts"]]
          if (tphit["ph"]=="E"):
              if name in total_duration and (total_duration[name][1] != 0):
                  total_duration[name]=[total_duration[name][0] + tphit["ts"]-total_duration[name][1],0]
          # if(name == "line_32_to_34"):
          #     print(total_duration[name])
  
  lines = []
  values = []
  for name, value in total_duration.items():
      strl = name[5:7]
      if strl[1]=='_':
          strl = strl[0:1]
      lines.append(float(strl))
      values.append(float(value[0]))
  
  values = [v for _,v in sorted(zip(lines,values))]
  
  norm = 0
  for v in values:
      norm += v
  
  normalisedValues = [v/norm for v in values]
  
  c = []
  scale=['g','y','y','r','r','r','r','b','b','b']
  for nv in normalisedValues:
      c.append(scale[int(nv*len(scale))])
  
  
  
  lines.sort()
  plt.bar(lines,values,color = c)
  
  plt.show()
  