def create_graphs(self):
""" Cria graficos para nextHeader, addressType e trafficClass
Exporta como imagem para ser utilizado com o GTK."""
self.set_dicts()
background = cairo.LinearGradient(300, 0, 300, 400)
background.add_color_stop_rgb(0,0.4,0.4,0.4)
background.add_color_stop_rgb(1.0,0.1,0.1,0.1)
data = self.next_header_dict
cairoplot.donut_plot( "nextHeader.svg", data, 400, 200, gradient = True, shadow = True, inner_radius = 0.3 )
data = self.address_type_dict
cairoplot.donut_plot( "addressType.svg", data, 400, 200, gradient = True, shadow = True, inner_radius = 0.3 )
data = self.traffic_class_dict
cairoplot.donut_plot( "trafficClass.svg", data, 400, 200, gradient = True, shadow = True, inner_radius = 0.3 )
data = self.number_of_next_header
x_labels = ["Quantidade de próximos cabeçalhos"]
y_labels = [str(i) for i in range(max(data)+1)]
# cairoplot.dot_line_plot("lenNextHeader.svg", data, 400, 200, axis = False, grid = True, x_labels = [' ',' '])
cairoplot.vertical_bar_plot ( 'lenNextHeader.svg', data, 400, 200, grid = True, rounded_corners = True,
x_labels = x_labels, y_labels = y_labels)
self.counts_udp_icmpv6()
size = len(self.filtered_list)
data = [ [self.icmpv6_number, size - self.icmpv6_number], [self.udp_number, size - self.udp_number]]
colors = [ (1,0.2,0), (1,1,0) ]
x_labels = ["ICMPv6", "UDP"]
cairoplot.vertical_bar_plot ( 'extra.svg', data, 400, 200, display_values = True, grid = True,
rounded_corners = True, stack = True, x_labels = x_labels, colors = colors )
def MakeGraphTop3(self, Data, FileName): """ Funzione che produce un grafico dei nodi a maggiore latenza sotto forma di istogram. :param Data: Serie di dati da dover graficare. :param FileName: Nome file da assegnare al grafico prodotto. :returns: *nulla* """ global Interval FileName = 'extra/MonitorGraph/'+FileName ordered = sorted(Data.iteritems(), key=operator.itemgetter(1), reverse=True) first3 = [] colors3 = [] for item in ordered: if (len(first3) < 3) and (item[0] in self.ProbeList): colors3.append(self.Colors[sorted(self.ProbeList).index(item[0])]) first3.append(item[1]) #ogni volta cerca di acquisire il lock per creare una nuova immagine, se non riesce, rompe il lock TempLock = FileLock(FileName) try: TempLock.acquire(timeout=Interval) except LockTimeout: TempLock.break_lock() else: cairoplot.vertical_bar_plot(FileName, first3, 170, 130, display_values=True, colors=colors3) TempLock.release()
def plot(output_filename, plot_type, *data_files):
raw_data = map(lambda x: json.load(open(x)), data_files)
series_labels = map(lambda x: get_name(x[1], data_files[x[0]]),
enumerate(raw_data))
queries = sorted(filter(lambda x: x != "__metadata__",
set(sum([d.keys() for d in raw_data], []))),
cmp=compare_queries)
data = []
max_value = 0
no_index = list()
style = plot_type
for n, query in enumerate(queries):
x = [get_data(d, query, style) for d in raw_data]
print x
y = max(x)
idx_border = [
not d.get(query, {}).get("uses_index", True) for d in raw_data
]
for i, b in enumerate(idx_border):
if b:
no_index.append((n, i))
if y > max_value:
max_value = y
data.append(x)
y_parts = max_value / float(4)
y_labels = ["%.5fs" % (i * y_parts) for i in range(5)]
vertical_bar_plot(output_filename,
data,
len(queries) * 400,
600,
x_labels=queries,
y_labels=y_labels,
grid=True,
series_labels=series_labels,
bar_borders=no_index)
def totalPlot(res,plotFileName='PercentCommingAllGroups.svg'):
data = []
plotName = []
for rec in res:
data.append([100*rec[1]/rec[4],100*rec[2]/rec[4],100*rec[3]/rec[4]])
plotName.append(rec[0])
colors = [ colorGreen, colorRed, colorYellow]
cairoplot.vertical_bar_plot ( plotFileName, data, 1920, 1080, border = 20, grid = True, rounded_corners = True, stack=True,colors = colors, x_labels=plotName, three_dimension = True )
print "wrote",plotFileName
def totalPlot(res, plotFileName='PercentCommingAllGroups.svg'):
data = []
plotName = []
for rec in res:
data.append([
100 * rec[1] / rec[4], 100 * rec[2] / rec[4], 100 * rec[3] / rec[4]
])
plotName.append(rec[0])
colors = [colorGreen, colorRed, colorYellow]
cairoplot.vertical_bar_plot(plotFileName,
data,
1920,
1080,
border=20,
grid=True,
rounded_corners=True,
stack=True,
colors=colors,
x_labels=plotName,
three_dimension=True)
print "wrote", plotFileName
def GraphData(self):
data = []
virustotal = 0
Malc0de = 0
Malwaretracker = 0
CleanMX = 0
Reputation = 0
ShadowServer = 0
if self.genreport.__contains__("ThreatExpert"):
data.append(self.genreport["ThreatExpert"]["count"])
if self.genreport.__contains__("VirusTotal"):
data.append(10)
if self.genreport.__contains__("Malc0de"):
data.append(self.genreport["Malc0de"]["count"])
if self.genreport.__contains__("Malwr"):
data.append(self.genreport["Malwr"]["count"])
if self.genreport.__contains__("MalwareTrackerDoc"):
data.append(self.genreport["MalwareTrackerDoc"]["count"])
if self.genreport.__contains__("CleanMX"):
data.append(self.genreport["CleanMX"]["count"])
if self.genreport.__contains__("PandaSecurity"):
data.append(self.genreport["PandaSecurity"]["count"])
if self.genreport.__contains__("ShadowServer"):
data.append(self.genreport["ShadowServer"]["count"])
if self.genreport.__contains__("Malekal"):
data.append(self.genreport["Malekal"]["count"])
if self.genreport.__contains__("Sarvam"):
data.append(self.genreport["Sarvam"]["count"])
if self.genreport.__contains__("MalwareTrackerPdf"):
data.append(self.genreport["MalwareTrackerPdf"]["count"])
#y_labels = [ "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10" ]
x_labels = [ "ThreatExpert","VirusTotal","Malc0de","Malwr",
"MalwaretrackerDoc","Clean","Xandora","ShadowServer",
"Malekal","Sarvam","MalwareTrackerPdf"]
cairoplot.vertical_bar_plot (os.path.join(COLLECTOR_ROOT,"charts","GraphData.png"), data, 700, 190, border = 20,
display_values = True, grid = True, x_labels = x_labels,
colors ="red_green_blue" )
if counter == 0:
data.append([alter, ret, excl, acr])
ret = 0
excl = 0
acr = 0
alter = 0
data.reverse()
import cairoplot
cor_retorno = (1, 0, 0) # vermelho
cor_exclusao = (1, 0.7, 0) # laranja
cor_alteracao = (1, 1, 0) # amarelo
cor_acrescimo = (0, 0, 1) # azul
colors = [cor_alteracao, cor_retorno, cor_exclusao, cor_acrescimo]
cairoplot.vertical_bar_plot(
"../dados/graficos/propostas_barras_segmentado.png",
data,
2000,
1500,
border=50,
display_values=False,
grid=True,
rounded_corners=True,
stack=True,
colors=colors,
)
ress += i[1]["concordo-com-ressalvas"]
except:
pass
counter = (counter + 1) % num
if counter == 0:
data.append([conc, nconc, ress])
conc = 0
nconc = 0
ress = 0
data.reverse()
import cairoplot
cor_conc = (0, 1, 0) #verde
cor_ress = (1, 1, 0) #amarelo
cor_nconc = (1, 0, 0) #vermelho
colors = [cor_conc, cor_nconc, cor_ress]
cairoplot.vertical_bar_plot('../dados/graficos/opiniao_barras_segmentado.png',
data,
2000,
1500,
border=50,
display_values=False,
grid=True,
rounded_corners=True,
stack=True,
colors=colors)
b = 0
c = 1.5
gaussian = lambda x : a*math.exp(-(x-b)*(x-b)/(2*c*c))
cairoplot.function_plot( 'function_5_gaussian_series.png', data, 400, 300, grid = True, x_bounds = (-10,10), step = 0.1 )
#Dict function plot
data = Series()
data.range = (-5,5)
data.group_list = {'linear':lambda x : x*2, 'quadratic':lambda x:x**2, 'cubic':lambda x:(x**3)/2}
cairoplot.function_plot( 'function_6_dict_serie.png', data, 400, 300, grid = True, x_bounds=(-5,5), step = 0.1 )
if test_vertical_bar_plot:
#Passing a dictionary
data = Series({ 'teste00' : [27], 'teste01' : [10], 'teste02' : [18], 'teste03' : [5], 'teste04' : [1], 'teste05' : [22] })
cairoplot.vertical_bar_plot ( 'vbar_0_dictionary_series.png', data, 400, 300, border = 20, grid = True, rounded_corners = True )
#Display values
data = Series({ 'teste00' : [27], 'teste01' : [10], 'teste02' : [18], 'teste03' : [5], 'teste04' : [1], 'teste05' : [22] })
cairoplot.vertical_bar_plot ( 'vbar_0_dictionary_series.png', data, 400, 300, border = 20, display_values = True, grid = True, rounded_corners = True )
#Using default, rounded corners and 3D visualization
data = Series([ [0, 3, 11], [8, 9, 21], [13, 10, 9], [2, 30, 8] ])
colors = [ (1,0.2,0), (1,0.7,0), (1,1,0) ]
series_labels = ["red", "orange", "yellow"]
cairoplot.vertical_bar_plot ( 'vbar_1_default_series.png', data, 400, 300, border = 20, grid = True, rounded_corners = False, colors = "yellow_orange_red" )
cairoplot.vertical_bar_plot ( 'vbar_2_rounded_series.png', data, 400, 300, border = 20, series_labels = series_labels, display_values = True, grid = True, rounded_corners = True, colors = colors )
cairoplot.vertical_bar_plot ( 'vbar_3_3D_series.png', data, 400, 300, border = 20, series_labels = series_labels, grid = True, three_dimension = True, colors = colors )
#Mixing groups and columns
data = Series([ [1], [2], [3,4], [4], [5], [6], [7], [8], [9], [10] ])
data = []
for i in items:
try:
ret = i[1]["retorno"]
except:
ret = 0
try:
excl = i[1]["exclusao"]
except:
excl = 0
try:
alter = i[1]["alteracao"]
except:
alter = 0
try:
acr = i[1]["acrescimo"]
except:
acr = 0
data.append([alter,ret,excl,acr])
import cairoplot
colors = [ (1,0.2,0), (1,0.7,0), (1,1,0), (0,0,1) ]
cairoplot.vertical_bar_plot ( '../dados/graficos/propostas_barras.png', data, 2000, 1500, border = 0, display_values = False, grid = True, rounded_corners = False, stack = True, colors = colors )
try:
excl = i[1]["exclusao"]
except:
excl = 0
try:
alter = i[1]["alteracao"]
except:
alter = 0
try:
acr = i[1]["acrescimo"]
except:
acr = 0
data.append([alter, ret, excl, acr])
import cairoplot
colors = [(1, 0.2, 0), (1, 0.7, 0), (1, 1, 0), (0, 0, 1)]
cairoplot.vertical_bar_plot('../dados/graficos/propostas_barras.png',
data,
2000,
1500,
border=0,
display_values=False,
grid=True,
rounded_corners=False,
stack=True,
colors=colors)
# total = conc+nconc+ress
# data.append([float(conc)/total,float(ress)/total,float(nconc)/total])
total = conc + nconc + ress
if total > 0:
data.append(
[float(conc) / total,
float(ress) / total,
float(nconc) / total])
#data.reverse()
import cairoplot
cor_conc = (0, 1, 0) #verde
cor_ress = (1, 1, 0) #amarelo
cor_nconc = (1, 0, 0) #vermelho
colors = [cor_conc, cor_ress, cor_nconc]
cairoplot.vertical_bar_plot(
'../dados/graficos/resultados_parciais_opiniao.png',
data,
2000,
1500,
border=50,
display_values=False,
grid=True,
rounded_corners=True,
stack=True,
colors=colors)
try:
nconc += i[1]["nao-concordo"]
except:
pass
try:
ress += i[1]["concordo-com-ressalvas"]
except:
pass
counter = (counter+1)%num
if counter==0:
total = conc+nconc+ress
data.append([float(conc)/total,float(nconc)/total,float(ress)/total])
conc=0
nconc=0
ress=0
data.reverse()
import cairoplot
cor_conc = (0,1,0) #verde
cor_ress = (1,1,0) #amarelo
cor_nconc = (1,0,0) #vermelho
colors = [ cor_conc, cor_nconc, cor_ress]
cairoplot.vertical_bar_plot ( '../dados/graficos/votos_opiniao_segmentado.png', data, 2000, 1500, border = 50, display_values = False, grid = True, rounded_corners = True, stack = True, colors = colors )
except:
pass
try:
alter += i[1]["alteracao"]
except:
pass
try:
acr += i[1]["acrescimo"]
except:
pass
# counter = (counter+1)%num
total = acr+alter+excl+ret
# if total>0 and counter==0:
if total>0:
data.append([float(acr)/total,float(alter)/total,float(excl)/total,float(ret)/total])
import cairoplot
cor_retorno = (1,0,0) #vermelho
cor_exclusao = (1,0.7,0) #laranja
cor_alteracao = (1,1,0) #amarelo
cor_acrescimo = (0,0,1) #azul
colors = [cor_acrescimo, cor_alteracao, cor_exclusao, cor_retorno]
cairoplot.vertical_bar_plot ( '../dados/graficos/resultados_parciais_proposta.png', data, 2000, 1500, border = 50, display_values = False, grid = True, rounded_corners = True, stack = True, colors = colors )
import cairoplot as cp
#Question 1
q1 = { 'yes': [9, 14]}
cp.vertical_bar_plot('q1.svg', q1, 400,300, border=20, display_values=True, grid=True, rounded_corners=True, colors=["green", "red"],x_labels=["Q1: Did the activity take too long?","q2"])#, "red"])
