def plot_increasingPerturbation_percentageSuccess(path,
filename,
output,
subject,
indexN,
indexLoc,
columnLoc,
offsetStart=0):
'''
this function is used to generate the plot of the increasing magnitudes and random rates.
'''
lines = [line.rstrip('\n') for line in open(path + "/" + filename)]
labelOfN = ' '.join(lines[indexN].split()).split(" ")[0]
if "IntegerMagnitudeSys" == output:
n = ' '.join(lines[indexN].split()).split(" ")[3:]
else:
n = [0.0] + (' '.join(lines[indexN].split()).split(" ")[3:])
numberOfLocation = int(' '.join(lines[indexLoc].split()).split(" ")[0])
percAll = []
nAll = []
callAll = []
perturbAll = []
indicesLocation = []
i = 8 + offsetStart
while i < (numberOfLocation * len(n)) + 1: #numberOfLocation:
perc = []
my_n = []
my_call = 0
my_perturb = 0
for line in lines[i:i + len(n)]:
point = float(' '.join(line.split()).split(" ")[-1].replace(
',', '.'))
if point == point:
perc.append(point)
else:
perc.append(float(100.0))
my_call += int(' '.join(
line.split()).split(" ")[5 + offsetStart].replace(',', '.'))
my_perturb += int(' '.join(
line.split()).split(" ")[6 + offsetStart].replace(',', '.'))
my_n.append(n[lines[i:i + len(n)].index(line)])
if perc not in percAll and len(perc) > 0 and [p == p for p in perc]:
indexOfLocation = ' '.join(lines[i].split()).split(" ")[columnLoc]
indicesLocation.append(indexOfLocation)
percAll.append(perc)
nAll.append(my_n)
callAll.append(my_call)
perturbAll.append(my_perturb)
i += len(n)
sortedPerc, indicesLocation = [
list(x)[:10] for x in zip(*sorted(zip(percAll, indicesLocation),
key=lambda pair: -pair[0][-1]))
]
sortedPerc, callAll = [
list(x)[:10] for x in zip(
*sorted(zip(percAll, callAll), key=lambda pair: -pair[0][-1]))
]
sortedPerc, perturbAll = [
list(x)[:10] for x in zip(
*sorted(zip(percAll, perturbAll), key=lambda pair: -pair[0][-1]))
]
percAll, nAll = [
list(x)[:10] for x in zip(
*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][-1]))
]
indexToCutAll = []
for i in range(len(percAll)):
indexToCut = len(percAll[i]) - 1
while indexToCut > 1:
if percAll[i][indexToCut] == percAll[i][indexToCut - 1]:
indexToCut -= 1
else:
break
indexToCutAll.append(indexToCut +
1 if indexToCut < len(percAll[i]) else indexToCut)
indexToCut = max(indexToCutAll)
sortedPerc, indicesLocation = [
list(x) for x in zip(*sorted(zip(percAll, indicesLocation),
key=lambda pair: -pair[0][0]))
]
sortedPerc, callAll = [
list(x) for x in zip(
*sorted(zip(percAll, callAll), key=lambda pair: -pair[0][0]))
]
sortedPerc, perturbAll = [
list(x) for x in zip(
*sorted(zip(percAll, perturbAll), key=lambda pair: -pair[0][0]))
]
percAll, nAll = [
list(x)
for x in zip(*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][0]))
]
print(len(nAll))
fig = plt.figure()
ax = fig.add_axes((.1, .4, .8, .5))
for i in range(len(percAll)):
cut = min(indexToCut, len(percAll[i]))
color = colors_manager.getColor(int(indicesLocation[i]))
plt.plot(nAll[i][:cut],
percAll[i][:cut],
marker='x',
label=str(indicesLocation[i] + " " + str(int(percAll[i][0])) +
" %"),
color=color)
plt.xlabel(labelOfN)
plt.ylabel("% success")
box = ax.get_position()
txt = ""
for line in lines[0:7]:
txt += line + "\n"
width = 8
txt += '{0:{width}} {1:{width}} {2:{width}}'.format("Loc",
"#Call",
"#Perturbation",
width=width)
txt += '\n'
for i in range(len(callAll)):
txt += '{0:{width}} {1:{width}} {2:{width}}'.format(indicesLocation[i],
str(callAll[i]),
str(perturbAll[i]),
width=width)
txt += '\n'
text = fig.text(.1, -.45, txt)
plt.title(subject)
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
lgd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
fig.savefig(path + "/img/" + output + "_plot.jpeg",
bbox_extra_artists=(lgd, text),
bbox_inches='tight')
fig.savefig(path + "/img/" + output + "_plot.pdf",
bbox_extra_artists=(lgd, text),
bbox_inches='tight')
ax.set_xscale('log')
fig.savefig(path + "/img/" + output + "_plot_logscale.pdf",
bbox_extra_artists=(lgd, text),
bbox_inches='tight')
fig.savefig(path + "/img/" + output + "_plot_logscale.jpeg",
bbox_extra_artists=(lgd, text),
bbox_inches='tight')
fig = plt.figure()
percOverAllLoc = []
for i in range(len(percAll[0])):
perc = 0.0
for j in range(len(percAll)):
perc += percAll[j][i]
percOverAllLoc.append(float(float(perc) / float(len(percAll[j]))))
plt.plot(n, percOverAllLoc, marker='x', label="% success")
plt.xlabel(labelOfN)
plt.ylabel("% success")
box = ax.get_position()
txt = "Aggregation of the whole results over locations."
text = fig.text(.1, -.1, txt)
plt.title(subject)
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
lgd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
fig.savefig(path + "/img/" + output + "plotAll.pdf",
bbox_extra_artists=(lgd, text),
bbox_inches='tight')
plt.close(fig)
def scatterPlotSuccessNumPerturb(path, filename, output, subject):
lines = [line.rstrip('\n') for line in open(path + "/" + filename)]
n = [0.0] + ' '.join(lines[4].split()).split(" ")[3:]
stepi = len(n)
numberOfLocation = int(' '.join(lines[2].split()).split(" ")[0])
repeat = int(' '.join(lines[5].split()).split(" ")[0])
nbTask = int(' '.join(lines[6].split()).split(" ")[0])
nbExec = float(repeat * nbTask)
percAll = []
nbPerturbAll = []
labelsAll = []
indicesLocation = []
nbCallAll = []
i = 9
while i < (numberOfLocation * len(n)) + 1: #numberOfLocation:
perc = []
label = []
nbPerturb = []
nbCall = []
for line in lines[i:i + len(n)]:
point = float(' '.join(line.split()).split(" ")[-1].replace(
',', '.'))
if point == point:
perc.append(point)
nbPerturb.append(
int(' '.join(line.split()).split(" ")[7].replace(',',
'.')))
nbCall.append(
int(' '.join(line.split()).split(" ")[6].replace(',',
'.')))
label.append(
str(' '.join(lines[i].split()).split(" ")[0].replace(',', '.')))
label.append(
str(' '.join(lines[i +
(len(n)) / 2].split()).split(" ")[0].replace(
',', '.')))
label.append(
str(' '.join(lines[i + len(n) - 1].split()).split(" ")[0].replace(
',', '.')))
if not perc in percAll and not len(perc) == 0:
indexOfLocation = ' '.join(lines[i].split()).split(" ")[2]
indicesLocation.append(indexOfLocation)
labelsAll.append(label)
nbPerturbAll.append(nbPerturb)
percAll.append(perc)
nbCallAll.append(nbCall)
i += stepi
sortedPerc, indicesLocation = [
list(x)[:10] for x in zip(*sorted(zip(percAll, indicesLocation),
key=lambda pair: -pair[0][-1]))
]
sortedPerc, nbPerturbAll = [
list(x)[:10] for x in zip(
*sorted(zip(percAll, nbPerturbAll), key=lambda pair: -pair[0][-1]))
]
percAll, nbCallAll = [
list(x)[:10] for x in zip(
*sorted(zip(percAll, nbCallAll), key=lambda pair: -pair[0][-1]))
]
sortedPerc, indicesLocation = [
list(x) for x in zip(*sorted(zip(percAll, indicesLocation),
key=lambda pair: -pair[0][0]))
]
sortedPerc, nbPerturbAll = [
list(x) for x in zip(
*sorted(zip(percAll, nbPerturbAll), key=lambda pair: -pair[0][0]))
]
percAll, nbCallAll = [
list(x) for x in zip(
*sorted(zip(percAll, nbCallAll), key=lambda pair: -pair[0][0]))
]
fig = plt.figure()
ax = fig.add_axes((.1, .4, .8, .5))
for i in range(len(percAll)):
mid = len(percAll[i]) / 2
color = colors_manager.getColor(int(indicesLocation[i]))
x = [
float(
float(nbPerturbAll[i][len(nbPerturbAll[i]) -
len(percAll[i]):][z]) / nbExec)
for z in range(
len(nbCallAll[i][len(nbCallAll[i]) - len(percAll[i]):]))
]
plt.plot(x,
percAll[i],
color=color,
marker='x',
label=str(indicesLocation[i] + " " + str(int(percAll[i][0])) +
" %"))
for z in [0, -1, mid]:
x = float(float(nbPerturbAll[i][z]) / nbExec)
ax.annotate(labelsAll[i][z if z != mid else 1],
xy=(x, percAll[i][z]),
xytext=(0.5, 5),
textcoords='offset points',
size=5)
plt.xlabel("Avg perturbation per exec")
plt.ylabel("% success")
plt.title(subject)
txt = "Annotation are the probability rate of enaction\n"
for line in lines[0:7]:
txt += line + "\n"
text = fig.text(.1, -.1, txt)
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
lgd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
fig.savefig(path + "/img/" + output + "scatterPlotSuccessNumPerturb.pdf",
bbox_extra_artists=(lgd, text),
bbox_inches='tight')
fig.savefig(path + "/img/" + output + "scatterPlotSuccessNumPerturb.jpeg",
bbox_extra_artists=(lgd, text),
bbox_inches='tight')
ax.set_xscale('symlog')
fig.savefig(path + "/img/" + output +
"scatterPlotSuccessNumPerturb_log.pdf",
bbox_extra_artists=(lgd, text),
bbox_inches='tight')
fig.savefig(path + "/img/" + output +
"scatterPlotSuccessNumPerturb_log.jpeg",
bbox_extra_artists=(lgd, text),
bbox_inches='tight')
plt.close(fig)
def plot(subject, type):
print(subject, type)
lines = [line.rstrip('\n') for line in open("results/"+subject+"/"+type+"_RandomExplorer_analysis_graph_data.txt")]
numberOfLocation = int(' '.join(lines[7].split()).split(" ")[0])
n = [0.0] + (' '.join(lines[3].split()).split(" ")[3:])
repeat = int(' '.join(lines[4].split()).split(" ")[0])
i = 9
percAll=[]
nAll=[]
callAll=[]
perturbAll=[]
indicesLocation=[]
percAll=[]
xaxis=[]
while i < (numberOfLocation*len(n)) + 1:
perc=[]
my_n = []
my_x = []
my_call = 0
my_perturb = 0
for line in lines[i:i+len(n)]:
point = float(' '.join(line.split()).split(" ")[-1].replace(',','.'))
if point == point:
perc.append(point)
else:
perc.append(float(100.0))
my_call += int(' '.join(line.split()).split(" ")[6].replace(',','.'))
my_perturb += int(' '.join(line.split()).split(" ")[7].replace(',','.'))
my_x.append(int(' '.join(line.split()).split(" ")[7].replace(',','.')) / repeat)
my_n.append(n[lines[i:i+len(n)].index(line)])
if perc not in percAll and len(perc) > 0 and [p == p for p in perc]:
indexOfLocation = ' '.join(lines[i].split()).split(" ")[2]
indicesLocation.append(indexOfLocation)
percAll.append(perc)
nAll.append(my_n)
callAll.append(my_call)
perturbAll.append(my_perturb)
xaxis.append(my_x)
i+=len(n)
sortedPerc, indicesLocation = [list(x)[:10] for x in zip(*sorted(zip(percAll, indicesLocation), key=lambda pair: -pair[0][-1]))]
sortedPerc, callAll = [list(x)[:10] for x in zip(*sorted(zip(percAll, callAll), key=lambda pair: -pair[0][-1]))]
sortedPerc, perturbAll = [list(x)[:10] for x in zip(*sorted(zip(percAll, perturbAll), key=lambda pair: -pair[0][-1]))]
sortedPerc, xaxis = [list(x)[:10] for x in zip(*sorted(zip(percAll,xaxis), key=lambda pair: -pair[0][-1]))]
percAll, nAll = [list(x)[:10] for x in zip(*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][-1]))]
sortedPerc, indicesLocation = [list(x) for x in zip(*sorted(zip(percAll, indicesLocation), key=lambda pair: -pair[0][0]))]
sortedPerc, callAll = [list(x) for x in zip(*sorted(zip(percAll, callAll), key=lambda pair: -pair[0][0]))]
sortedPerc, perturbAll = [list(x) for x in zip(*sorted(zip(percAll, perturbAll), key=lambda pair: -pair[0][0]))]
sortedPerc, xaxis = [list(x) for x in zip(*sorted(zip(percAll, xaxis), key=lambda pair: -pair[0][0]))]
percAll, nAll = [list(x) for x in zip(*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][0]))]
fig = plt.figure()
ax = fig.add_axes((.1,.4,.8,.5))
for i in range(len(percAll)):
color = colors_manager.getColor(int(indicesLocation[i]))
plt.plot(xaxis[i], percAll[i], marker='x', label=str(indicesLocation[i]+ " " + str(int(percAll[i][0])) + " %"), color=color)
plt.xlabel("#perturbation per exec")
plt.ylabel("% success")
box = ax.get_position()
txt = ""
for line in lines[0:7]:
txt += line +"\n"
width = 8
txt+= '{0:{width}} {1:{width}} {2:{width}}'.format("Loc","#Call", "#Perturbation", width=width)
txt+='\n'
for i in range(len(callAll)):
txt+='{0:{width}} {1:{width}} {2:{width}}'.format(indicesLocation[i],str(callAll[i]),str(perturbAll[i]), width=width)
txt+='\n'
text = fig.text(.1,-.45,txt)
plt.title(subject)
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
lgd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
fig.savefig("results/"+subject+"/img/"+type+"_PerturPerExecution_plot.jpeg", bbox_extra_artists=(lgd,text), bbox_inches='tight')
fig.savefig("results/"+subject+"/img/"+type+"_PerturPerExecution_plot.pdf", bbox_extra_artists=(lgd,text), bbox_inches='tight')
ax.set_xscale('log')
fig.savefig("results/"+subject+"/img/"+type+"_PerturPerExecution_plot_logscale.pdf", bbox_extra_artists=(lgd,text), bbox_inches='tight')
fig.savefig("results/"+subject+"/img/"+type+"_PerturPerExecution_plot_logscale.jpeg", bbox_extra_artists=(lgd,text), bbox_inches='tight')
def scatterPlotSuccessNumPerturb(path, filename, output, subject):
lines = [line.rstrip('\n') for line in open(path+"/"+filename)]
n = [0.0] + ' '.join(lines[4].split()).split(" ")[3:]
stepi = len(n)
numberOfLocation = int(' '.join(lines[2].split()).split(" ")[0])
repeat = int(' '.join(lines[5].split()).split(" ")[0])
nbTask = int(' '.join(lines[6].split()).split(" ")[0])
nbExec = float(repeat * nbTask)
percAll=[]
nbPerturbAll=[]
labelsAll=[]
indicesLocation=[]
nbCallAll=[]
i = 9
while i < (numberOfLocation*len(n))+1:#numberOfLocation:
perc=[]
label=[]
nbPerturb=[]
nbCall=[]
for line in lines[i:i+len(n)]:
point = float(' '.join(line.split()).split(" ")[-1].replace(',','.'))
if point == point:
perc.append(point)
nbPerturb.append(int(' '.join(line.split()).split(" ")[7].replace(',','.')))
nbCall.append(int(' '.join(line.split()).split(" ")[6].replace(',','.')))
label.append(str(' '.join(lines[i].split()).split(" ")[0].replace(',','.')))
label.append(str(' '.join(lines[i+(len(n))/2].split()).split(" ")[0].replace(',','.')))
label.append(str(' '.join(lines[i+len(n)-1].split()).split(" ")[0].replace(',','.')))
if not perc in percAll and not len(perc) == 0:
indexOfLocation = ' '.join(lines[i].split()).split(" ")[2]
indicesLocation.append(indexOfLocation)
labelsAll.append(label)
nbPerturbAll.append(nbPerturb)
percAll.append(perc)
nbCallAll.append(nbCall)
i+=stepi
sortedPerc, indicesLocation = [list(x)[:10] for x in zip(*sorted(zip(percAll, indicesLocation), key=lambda pair: -pair[0][-1]))]
sortedPerc, nbPerturbAll = [list(x)[:10] for x in zip(*sorted(zip(percAll, nbPerturbAll), key=lambda pair: -pair[0][-1]))]
percAll, nbCallAll = [list(x)[:10] for x in zip(*sorted(zip(percAll, nbCallAll), key=lambda pair: -pair[0][-1]))]
sortedPerc, indicesLocation = [list(x) for x in zip(*sorted(zip(percAll, indicesLocation), key=lambda pair: -pair[0][0]))]
sortedPerc, nbPerturbAll = [list(x) for x in zip(*sorted(zip(percAll, nbPerturbAll), key=lambda pair: -pair[0][0]))]
percAll, nbCallAll = [list(x) for x in zip(*sorted(zip(percAll, nbCallAll), key=lambda pair: -pair[0][0]))]
fig = plt.figure()
ax = fig.add_axes((.1,.4,.8,.5))
for i in range(len(percAll)):
mid = len(percAll[i]) / 2
color = colors_manager.getColor(int(indicesLocation[i]))
x = [float(float(nbPerturbAll[i][len(nbPerturbAll[i])-len(percAll[i]):][z]) / nbExec)
for z in range(len(nbCallAll[i][len(nbCallAll[i])-len(percAll[i]):]))]
plt.plot(x , percAll[i], color=color, marker='x', label=str(indicesLocation[i]+" "+ str(int(percAll[i][0]))+ " %"))
for z in [0,-1,mid]:
x = float( float(nbPerturbAll[i][z]) / nbExec)
ax.annotate(labelsAll[i][z if z != mid else 1], xy = (x, percAll[i][z]),
xytext=(0.5, 5), textcoords='offset points', size=5)
plt.xlabel("Avg perturbation per exec")
plt.ylabel("% success")
plt.title(subject)
txt = "Annotation are the probability rate of enaction\n"
for line in lines[0:7]:
txt += line +"\n"
text = fig.text(.1,-.1,txt)
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
lgd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
fig.savefig(path+"/img/"+output+"scatterPlotSuccessNumPerturb.pdf", bbox_extra_artists=(lgd,text), bbox_inches='tight')
fig.savefig(path+"/img/"+output+"scatterPlotSuccessNumPerturb.jpeg", bbox_extra_artists=(lgd,text), bbox_inches='tight')
ax.set_xscale('symlog')
fig.savefig(path+"/img/"+output+"scatterPlotSuccessNumPerturb_log.pdf", bbox_extra_artists=(lgd,text), bbox_inches='tight')
fig.savefig(path+"/img/"+output+"scatterPlotSuccessNumPerturb_log.jpeg", bbox_extra_artists=(lgd,text), bbox_inches='tight')
plt.close(fig)
def plot_increasingPerturbation_percentageSuccess(path, filename, output, subject, indexN, indexLoc, columnLoc, offsetStart=0):
'''
this function is used to generate the plot of the increasing magnitudes and random rates.
'''
lines = [line.rstrip('\n') for line in open(path+"/"+filename)]
labelOfN = ' '.join(lines[indexN].split()).split(" ")[0]
if "IntegerMagnitudeSys" == output:
n = ' '.join(lines[indexN].split()).split(" ")[3:]
else:
n = [0.0] + (' '.join(lines[indexN].split()).split(" ")[3:])
numberOfLocation = int(' '.join(lines[indexLoc].split()).split(" ")[0])
percAll=[]
nAll=[]
callAll=[]
perturbAll=[]
indicesLocation=[]
i = 8 + offsetStart
while i < (numberOfLocation*len(n)) + 1:#numberOfLocation:
perc=[]
my_n = []
my_call = 0
my_perturb = 0
for line in lines[i:i+len(n)]:
point = float(' '.join(line.split()).split(" ")[-1].replace(',','.'))
if point == point:
perc.append(point)
else:
perc.append(float(100.0))
my_call += int(' '.join(line.split()).split(" ")[5+offsetStart].replace(',','.'))
my_perturb += int(' '.join(line.split()).split(" ")[6+offsetStart].replace(',','.'))
my_n.append(n[lines[i:i+len(n)].index(line)])
if perc not in percAll and len(perc) > 0 and [p == p for p in perc]:
indexOfLocation = ' '.join(lines[i].split()).split(" ")[columnLoc]
indicesLocation.append(indexOfLocation)
percAll.append(perc)
nAll.append(my_n)
callAll.append(my_call)
perturbAll.append(my_perturb)
i+=len(n)
sortedPerc, indicesLocation = [list(x)[:10] for x in zip(*sorted(zip(percAll, indicesLocation), key=lambda pair: -pair[0][-1]))]
sortedPerc, callAll = [list(x)[:10] for x in zip(*sorted(zip(percAll, callAll), key=lambda pair: -pair[0][-1]))]
sortedPerc, perturbAll = [list(x)[:10] for x in zip(*sorted(zip(percAll, perturbAll), key=lambda pair: -pair[0][-1]))]
percAll, nAll = [list(x)[:10] for x in zip(*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][-1]))]
indexToCutAll = []
for i in range(len(percAll)):
indexToCut = len(percAll[i])-1
while indexToCut > 1:
if percAll[i][indexToCut] == percAll[i][indexToCut-1]:
indexToCut -= 1
else:
break;
indexToCutAll.append(indexToCut+1 if indexToCut < len(percAll[i]) else indexToCut)
indexToCut = max(indexToCutAll)
sortedPerc, indicesLocation = [list(x) for x in zip(*sorted(zip(percAll, indicesLocation), key=lambda pair: -pair[0][0]))]
sortedPerc, callAll = [list(x) for x in zip(*sorted(zip(percAll, callAll), key=lambda pair: -pair[0][0]))]
sortedPerc, perturbAll = [list(x) for x in zip(*sorted(zip(percAll, perturbAll), key=lambda pair: -pair[0][0]))]
percAll, nAll = [list(x) for x in zip(*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][0]))]
print(len(nAll))
fig = plt.figure()
ax = fig.add_axes((.1,.4,.8,.5))
for i in range(len(percAll)):
cut = min(indexToCut, len(percAll[i]))
color = colors_manager.getColor(int(indicesLocation[i]))
plt.plot(nAll[i][:cut], percAll[i][:cut], marker='x', label=str(indicesLocation[i]+ " " + str(int(percAll[i][0])) + " %"), color=color)
plt.xlabel(labelOfN)
plt.ylabel("% success")
box = ax.get_position()
txt = ""
for line in lines[0:7]:
txt += line +"\n"
width = 8
txt+= '{0:{width}} {1:{width}} {2:{width}}'.format("Loc","#Call", "#Perturbation", width=width)
txt+='\n'
for i in range(len(callAll)):
txt+='{0:{width}} {1:{width}} {2:{width}}'.format(indicesLocation[i],str(callAll[i]),str(perturbAll[i]), width=width)
txt+='\n'
text = fig.text(.1,-.45,txt)
plt.title(subject)
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
lgd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
fig.savefig(path+"/img/"+output+"_plot.jpeg", bbox_extra_artists=(lgd,text), bbox_inches='tight')
fig.savefig(path+"/img/"+output+"_plot.pdf", bbox_extra_artists=(lgd,text), bbox_inches='tight')
ax.set_xscale('log')
fig.savefig(path+"/img/"+output+"_plot_logscale.pdf", bbox_extra_artists=(lgd,text), bbox_inches='tight')
fig.savefig(path+"/img/"+output+"_plot_logscale.jpeg", bbox_extra_artists=(lgd,text), bbox_inches='tight')
fig = plt.figure()
percOverAllLoc = []
for i in range(len(percAll[0])):
perc = 0.0
for j in range(len(percAll)):
perc += percAll[j][i]
percOverAllLoc.append(float(float(perc) / float(len(percAll[j]))))
plt.plot(n, percOverAllLoc, marker='x', label="% success")
plt.xlabel(labelOfN)
plt.ylabel("% success")
box = ax.get_position()
txt = "Aggregation of the whole results over locations."
text = fig.text(.1,-.1,txt)
plt.title(subject)
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
lgd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
fig.savefig(path+"/img/"+output+"plotAll.pdf", bbox_extra_artists=(lgd,text), bbox_inches='tight')
plt.close(fig)
def plot_increasingNbTask_percentageSuccess(path, filename, output, subject, logscale=False):
lines = [line.rstrip('\n') for line in open(path+"/"+filename)]
labelOfN = ' '.join(lines[2].split()).split(" ")[0]
n = ' '.join(lines[2].split()).split(" ")[3:]
numberOfLocation = int(' '.join(lines[3].split()).split(" ")[0])
percAll=[]
nAll=[]
indicesLocation=[]
percSave = []
nSave = []
indiceSave = []
i = 9
while i < (numberOfLocation*len(n)):#numberOfLocation:
perc=[]
my_n = []
for line in lines[i:i+len(n)]:
point = float(' '.join(line.split()).split(" ")[-1].replace(',','.'))
if point == point:
perc.append(point)
else:
perc.append(float(100.0))
my_n.append(n[lines[i:i+len(n)].index(line)])
if not perc in percAll and len(perc) > 0 and [p == p for p in perc]:#and not perc[1:] == perc[:-1]:
indexOfLocation = ' '.join(lines[i].split()).split(" ")[1]
indicesLocation.append(indexOfLocation)
percAll.append(perc)
nAll.append(my_n)
i+=len(n)
sortedPerc, indicesLocation = [list(x)[:10] for x in zip(*sorted(zip(percAll, indicesLocation), key=lambda pair: -pair[0][-1]))]
percAll, nAll = [list(x)[:10] for x in zip(*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][-1]))]
indexToCutAll = []
for i in range(len(percAll)):
indexToCut = len(percAll[i])-1
while indexToCut > 1:
if abs(percAll[i][indexToCut] - percAll[i][indexToCut-1]) < 0:
indexToCut -= 1
else:
break;
indexToCutAll.append(indexToCut)
indexToCut = max(indexToCutAll)
sortedPerc, indicesLocation = [list(x) for x in zip(*sorted(zip(percAll, indicesLocation), key=lambda pair: -pair[0][0]))]
percAll, nAll = [list(x) for x in zip(*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][0]))]
fig = plt.figure()
ax = fig.add_axes((.1,.4,.8,.5))
for i in range(len(percAll)):
cut = len(percAll[i])
#cut = min(indexToCut, len(percAll[i]))
color = colors_manager.getColor(int(indicesLocation[i]))
plt.plot(nAll[i][:cut], percAll[i][:cut], marker='x', color=color, label=str(indicesLocation[i]+ " " + str(int(percAll[i][0])) + " %"))
plt.xlabel(labelOfN)
plt.ylabel("% success")
box = ax.get_position()
txt = ""
for line in lines[0:7]:
txt += line +"\n"
text = fig.text(.1,-.10,txt)
plt.title(subject)
ax.set_position([box.x0, box.y0, box.width * 0.7, box.height])
lgd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
fig.savefig(path+"/img/"+output+"_plot.pdf", bbox_extra_artists=(text,), bbox_inches='tight')
fig.savefig(path+"/img/"+output+"_plot.jpeg", bbox_extra_artists=(text,), bbox_inches='tight')
ax.set_xscale('log')
fig.savefig(path+"/img/"+output+"_plot_logscale.pdf", bbox_extra_artists=(text,), bbox_inches='tight')
fig.savefig(path+"/img/"+output+"_plot_logscale.jpeg", bbox_extra_artists=(text,), bbox_inches='tight')
plt.close(fig)
def plot_increasingNbTask_percentageSuccess(path,
filename,
output,
subject,
logscale=False):
lines = [line.rstrip('\n') for line in open(path + "/" + filename)]
labelOfN = ' '.join(lines[2].split()).split(" ")[0]
n = ' '.join(lines[2].split()).split(" ")[3:]
numberOfLocation = int(' '.join(lines[3].split()).split(" ")[0])
percAll = []
nAll = []
indicesLocation = []
percSave = []
nSave = []
indiceSave = []
i = 9
while i < (numberOfLocation * len(n)): #numberOfLocation:
perc = []
my_n = []
for line in lines[i:i + len(n)]:
point = float(' '.join(line.split()).split(" ")[-1].replace(
',', '.'))
if point == point:
perc.append(point)
else:
perc.append(float(100.0))
my_n.append(n[lines[i:i + len(n)].index(line)])
if not perc in percAll and len(perc) > 0 and [
p == p for p in perc
]: #and not perc[1:] == perc[:-1]:
indexOfLocation = ' '.join(lines[i].split()).split(" ")[1]
indicesLocation.append(indexOfLocation)
percAll.append(perc)
nAll.append(my_n)
i += len(n)
sortedPerc, indicesLocation = [
list(x)[:10] for x in zip(*sorted(zip(percAll, indicesLocation),
key=lambda pair: -pair[0][-1]))
]
percAll, nAll = [
list(x)[:10] for x in zip(
*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][-1]))
]
indexToCutAll = []
for i in range(len(percAll)):
indexToCut = len(percAll[i]) - 1
while indexToCut > 1:
if abs(percAll[i][indexToCut] - percAll[i][indexToCut - 1]) < 0:
indexToCut -= 1
else:
break
indexToCutAll.append(indexToCut)
indexToCut = max(indexToCutAll)
sortedPerc, indicesLocation = [
list(x) for x in zip(*sorted(zip(percAll, indicesLocation),
key=lambda pair: -pair[0][0]))
]
percAll, nAll = [
list(x)
for x in zip(*sorted(zip(percAll, nAll), key=lambda pair: -pair[0][0]))
]
fig = plt.figure()
ax = fig.add_axes((.1, .4, .8, .5))
for i in range(len(percAll)):
cut = len(percAll[i])
#cut = min(indexToCut, len(percAll[i]))
color = colors_manager.getColor(int(indicesLocation[i]))
plt.plot(nAll[i][:cut],
percAll[i][:cut],
marker='x',
color=color,
label=str(indicesLocation[i] + " " + str(int(percAll[i][0])) +
" %"))
plt.xlabel(labelOfN)
plt.ylabel("% success")
box = ax.get_position()
txt = ""
for line in lines[0:7]:
txt += line + "\n"
text = fig.text(.1, -.10, txt)
plt.title(subject)
ax.set_position([box.x0, box.y0, box.width * 0.7, box.height])
lgd = ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
fig.savefig(path + "/img/" + output + "_plot.pdf",
bbox_extra_artists=(text, ),
bbox_inches='tight')
fig.savefig(path + "/img/" + output + "_plot.jpeg",
bbox_extra_artists=(text, ),
bbox_inches='tight')
ax.set_xscale('log')
fig.savefig(path + "/img/" + output + "_plot_logscale.pdf",
bbox_extra_artists=(text, ),
bbox_inches='tight')
fig.savefig(path + "/img/" + output + "_plot_logscale.jpeg",
bbox_extra_artists=(text, ),
bbox_inches='tight')
plt.close(fig)