import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
-
+from ggplot import *
open=pd.read_csv("execution_openssl_rpi3.txt",sep='\t',header=None)
one=pd.read_csv("execution_oneround_rpi3.txt",sep='\t',header=None)
-open.drop(open.columns[[5]], axis=1, inplace=True)
-one.drop(one.columns[[5]], axis=1, inplace=True)
-print(a)
-#plt.plot([1,2,3,4])
-#plt.ylabel('some numbers')
-#plt.show()
+
+open=open.drop(open.columns[[4,5]], axis=1)
+one=one.drop(one.columns[[0,4,5]], axis=1)
+
+open.columns = ["Buffer","OpenSSL enc CBC","OpenSSL dec CBC", "OpenSSL (en|de)c CTR"]
+
+one.columns=["OneRound enc DECB", "OneRound dec DECB", "OneRound (en|de)c CTR"]
+
+print(one)
+print(open)
+
+res=pd.concat([open,one],axis=1)
+#print(res)
+
+res2 = pd.melt(res, id_vars=['Buffer'])
+
+print(res2)
+
+
+print(ggplot(res2,aes("Buffer","value")) + \
+ geom_line(aes(colour="variable")) + \
+# geom_line(color='coral') + \
+ scale_x_continuous("Buffer size",trans="log10") + \
+ scale_y_continuous("Bytes per second",trans="log10",breaks=[1e7,2e8,1e7]))
+# theme(axis_text=element_text(size=20, color='green'), x_axis_text=element_text(angle=45)) +\
+
+
+# annotation_logticks())
+ #scale_x_date(breaks=date_breaks('36 months'), labels='%Y') + \
+# scale_y_continuous(labels='millions'))
+
+
+ #theme(legend.position="top")
+ # geom_line(aes(colour="Legend"))) +\
