def args_to_csv(argn):
stats = []
for a in sys.argv[2:argn + 2]:
stats.append(CSVStats(a))
plot_show(argn)
return stats
def read_csvs_xname(xname, *values):
stats = []
for a in values:
file = a + '.csv'
stats.append(CSVStats(file, xname))
return stats
stats = []
for a in sys.argv[2:argn + 2]:
stats.append(CSVStats(a))
plot_show(argn)
return stats
option = sys.argv[1]
if option == "0":
cothority, jvss, naive, naive_sc, ntree = args_to_csv(5)
plotAvgMM(cothority, jvss, naive, ntree)
elif option == "1":
cothority, jvss, naive, naive_sc, ntree = args_to_csv(5)
CoJVTimeBars(cothority, jvss, naive)
elif option == "2":
cothority, jvss, naive, naive_sc, ntree = args_to_csv(5)
CoJVTimeArea(cothority, jvss)
elif option == "3":
cothority, jvss, naive, naive_sc, ntree = args_to_csv(5)
SigCheck(naive, naive_sc)
elif option == "4":
Over(*args_to_csv(3))
elif option == "5":
plot_show(1)
PlotBF(CSVStats(sys.argv[2], "bf"))
elif option == "6":
plot_show(1)
stamp = CSVStats(sys.argv[2], "rate")
PlotStamp(stamp)
color1_dark = 'green'
color2_light = 'lightblue'
color2_dark = 'blue'
color3_light = 'yellow'
color3_dark = 'brown'
color4_light = 'pink'
color4_dark = 'red'
mplot = MPlot()
def plot_save(file):
mplot.pngname = file
mplot.show_fig = False
stats = "round_wall"
argn = len(sys.argv)
if argn < 2:
print "Syntax is:"
print "plot.py file.csv [stat]"
print "where stat is one of {round_wall, round_system, round_user}"
sys.exit(1)
if argn > 2:
stats = sys.argv[2]
data = CSVStats(sys.argv[1], "hosts")
mplot.plotPrepareLogLog()
na = mplot.plotMMA(data, stats, color1_light, 0,
dict(label=sys.argv[1], linestyle='-', marker='s', color=color2_dark, zorder=3))
plt.legend(loc='upper left')
plt.ylabel('Time for verification')
mplot.plotEnd()
def args_to_csv(argn, xname="Peers"):
stats = []
for a in sys.argv[2:argn + 2]:
stats.append(CSVStats(a, xname))
plot_show(argn)
return stats
for a in sys.argv[2:argn + 2]:
stats.append(CSVStats(a, xname))
plot_show(argn)
return stats
option = sys.argv[1]
if option == "0":
cothority, jvss, naive, naive_sc, ntree = args_to_csv(5)
plotAvgMM(cothority, jvss, naive, ntree)
elif option == "1":
cothority, jvss, naive, naive_sc, ntree = args_to_csv(5)
CoJVTimeBars(cothority, jvss, naive)
elif option == "2":
cothority, jvss, naive, naive_sc, ntree = args_to_csv(5)
CoJVTimeArea(cothority, jvss)
elif option == "3":
cothority, jvss, naive, naive_sc, ntree = args_to_csv(5)
SigCheck(naive, naive_sc)
elif option == "4":
Over(*args_to_csv(3))
elif option == "5":
PlotMultiBF(*args_to_csv(1, "bf"))
elif option == "6":
plot_show(1)
stamp = CSVStats(sys.argv[2], "rate")
PlotStamp(stamp)
elif option == "7":
PlotMultiBF(*args_to_csv(4, "bf"))
from mplot import MPlot
from stats import CSVStats
color1_light = 'lightgreen'
color1_dark = 'green'
color2_light = 'lightblue'
color2_dark = 'blue'
color3_light = 'yellow'
color3_dark = 'brown'
color4_light = 'pink'
color4_dark = 'red'
mplot = MPlot()
mplot.plotPrepareLogLog()
mplot.show_fig = True
jvss = CSVStats('test_naive_multi.csv').get_values('round_wall')
plt.plot(jvss.x,
jvss.avg,
label='JVSS',
linestyle='-',
marker='^',
color=color2_dark,
zorder=3)
mplot.plotFilledLegend(jvss.x,
jvss.min,
jvss.max,
"min-max",
color2_light,
z=0)
mplot.plotEnd()
