def plotCheckingNtree():
plotData(
[
["ntree_cosi", "ntree_cosi_check_simple", "ntree_cosi_check_none"],
["NTree check all", "NTree check children", "NTree check none"],
],
"comparison_ntree",
legend_pos="upper left",
)
# Colors for the Cothority
colors = [["lightgreen", "green"], ["lightblue", "blue"], ["yellow", "brown"], ["pink", "red"], ["pink", "red"]]
mplot = MPlot()
def plot_show(file):
if write_file:
mplot.pngname = file + "." + file_extension
def read_csvs_xname(xname, *values):
stats = []
for a in values:
file = a + ".csv"
stats.append(CSVStats(file, xname))
return stats
__author__ = 'ligasser'
import matplotlib.pyplot as plt
import matplotlib.ticker
import csv
import sys
import math
import matplotlib.patches as mpatches
from matplotlib.legend_handler import HandlerLine2D, HandlerRegularPolyCollection
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()
sys = stats.get_values(column + "_system")
if timeStr.lower() == "cpu":
return usr.avg + sys.avg
else:
return wall.avg
# Colors for the Cothority
# colors = [ '#4183D7','#26A65B', '#F89406', '#CF000F' ]
colorsbar = ["#c2c2ff", "#C5E1C5", "#fffaca", "#ffc2c2"]
colorsplot = ['#4183D7', '#26A65B', '#F89406', '#CF000F']
alpha = 0.9
alphabar = 1
mplot = MPlot()
legend_size = 12
def plot_show(file):
if write_file:
mplot.pngname = file
def read_csvs_xname(xname, *values):
stats = []
for a in values:
file = a + '.csv'
stats.append(CSVStats(file, xname))
return stats
plt.xlabel('Stamping rate [1/s]')
plt.legend(loc=u'upper right')
mplot.plotEnd()
# Colors for the Cothority
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()
def check_Args(args):
if len(sys.argv) < args + 1:
print("Error: Please give a mode and " + str(args) + " .csv-files as argument - " + str(len(sys.argv)) + "\n")
print("Mode: (0=printAverage, 1=printSystemUserTimes with bars, 2=printSystemUserTimes with areas)\n")
print("CSV: cothority.csv jvss.csv\n")
exit(1)
def plot_show(argn):
if len(sys.argv) > 2 + argn:
mplot.pngname = sys.argv[2 + argn]
mplot.show_fig = False
print mplot.pngname, mplot.show_fig
import sys
from mplot import MPlot
from stats import CSVStats
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
# Colors for the Cothority
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()
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]
import math
import matplotlib.patches as mpatches
from matplotlib.legend_handler import HandlerLine2D, HandlerRegularPolyCollection
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",
