OneRoundIoT/execution_opi.py

   1 import matplotlib.pyplot as plt
   2 import numpy as np
   3 import pandas as pd
   4 from ggplot import *
   5
   6 open=pd.read_csv("execution_openssl_rpi3.txt",sep='\t',header=None)
   7 one=pd.read_csv("execution_oneround_rpi3.txt",sep='\t',header=None)
   8
   9
  10 open=open.drop(open.columns[[4,5]], axis=1)
  11 one=one.drop(one.columns[[0,4,5]], axis=1)
  12
  13 open.columns = ["Buffer","OpenSSL enc CBC","OpenSSL dec CBC", "OpenSSL (en|de)c CTR"]
  14
  15 one.columns=["OneRound enc DECB", "OneRound dec DECB", "OneRound (en|de)c CTR"]
  16
  17 print(one)
  18 print(open)
  19
  20 res=pd.concat([open,one],axis=1)
  21 #print(res)
  22
  23 res2 = pd.melt(res, id_vars=['Buffer'])
  24
  25 print(res2)
  26
  27
  28 print(ggplot(res2,aes("Buffer","value")) +   \
  29     geom_line(aes(colour="variable")) + \
  30 #    geom_line(color='coral') + \
  31     scale_x_continuous("Buffer size",trans="log10") + \
  32     scale_y_continuous("Bytes per second",trans="log10",breaks=[1e7,2e8,1e7]))
  33 #    theme(axis_text=element_text(size=20, color='green'), x_axis_text=element_text(angle=45)) +\
  34
  35
  36 #    annotation_logticks())
  37     #scale_x_date(breaks=date_breaks('36 months'), labels='%Y') + \
  38 #    scale_y_continuous(labels='millions'))
  39
  40
  41       #theme(legend.position="top")
  42  # geom_line(aes(colour="Legend"))) +\