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Copy pathplot_types.py
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177 lines (145 loc) · 6.17 KB
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import matplotlib.pyplot as plt
import json
import numpy as np
import paper_plots as carlosplt
import seaborn as sns
from matplotlib.font_manager import FontProperties
class TypePlotter:
def __init__(self, data, years):
self.src2dsa = data.src2dsa
self.dsa2cve = data.dsa2cve
self.cvetable = data.cvetable
self.pkg_with_cvss = data.pkg_with_cvss
self.src2cwe = data.src2cwe
self.years = years
self.src2monthDLA = dict()
self.DLA_withcwe = dict()
with open("src2month_DLA.json", "r") as fp:
self.src2monthDLA = json.load(fp)
with open("DLA_withcwe.json", "r") as fp:
self.DLA_withcwe = json.load(fp)
def plot_types(self):
src2cwe_sum = []
for i in range(0, 12*self.years):
src2cwe_sum.append([0]*12)
for pkg in self.src2cwe:
for i in range(len(self.src2cwe[pkg][:12*self.years])):
for j in range(len(self.src2cwe[pkg][i])):
src2cwe_sum[i][j] += self.src2cwe[pkg][i][j]
src2cwe_sumofsums = [0]*12
for month in src2cwe_sum:
for j in range(len(month)):
src2cwe_sumofsums[j] += month[j]
print(src2cwe_sumofsums)
cwe2month = dict()
for j in range(12):
cwe2month[j] = []
for month in src2cwe_sum:
for j in range(len(month)):
cwe2month[j].append(month[j])
print(cwe2month[1])
print(sum(cwe2month[1]))
for i in range(12):
binned = []
for j in range(self.years*3):
binned.append(sum(cwe2month[i][4*j:4*j+4]))
#plt.plot(binned)
#plt.show()
percent = []
for i in range(self.years):
temp = [0]*12
for j in range(12):
temp[j] = sum(cwe2month[j][12*i:12*i+12])
sum_temp = sum(temp)
try:
temp_percent = list(map(lambda x: x / sum_temp, temp))
percent.append(temp_percent)
except ZeroDivisionError:
percent.append(temp)
print('Year ', i+1, 'is the problem')
print(percent)
carlosplt.pre_paper_plot()
x = range(2000,2000+self.years)
y = []
labels_cwe = ['682', '118', '664', '691', '693', '707', '710', 'N/A']
for i in range(12):
if i not in [2,3,7,8]:
y.append([j[i] for j in percent[8:]])
pal = sns.color_palette("Paired", 12)
h = plt.stackplot(x[8:], y, colors = pal, alpha=0.9, labels = labels_cwe)
plt.xticks(x[8:])
fontP = FontProperties()
fontP.set_size('small')
plt.legend(loc='upper left', handles = h[::-1], prop=fontP)
carlosplt.post_paper_plot(True,True,True)
plt.show()
self.plot_wheezyTypes(src2cwe_sum)
return 0
def plot_peryearstable(self):
## Plot the proportion changes over the years (All 11 types? - top 5 types).
pass
def plot_wheezyTypes(self, cwe_sum):
## Plot the changes in Wheezy for the top 3 types of vulnerabilities.
## Plot for wheezy
quarter_num = 4 * self.years
quarter_sum = dict()
quarter_sum_DLA = dict()
## DSA Q2'13-Q2'16
## DLA Q3'16-Q2'18
cwe_sum_DLA = []
for i in range(0, 12*self.years):
cwe_sum_DLA.append([0]*12)
for pkg in self.DLA_withcwe:
for i in range(len(self.DLA_withcwe[pkg])):
for j in range(len(self.DLA_withcwe[pkg][i])):
for k in range(len(self.DLA_withcwe[pkg][i][j])):
cwe_sum_DLA[i*12+j][k] += self.DLA_withcwe[pkg][i][j][k]
for cwe in range(len(cwe_sum[0])):
print(cwe)
quarter_sum[cwe] = [0] * quarter_num
quarter_sum_DLA[cwe] = [0] * quarter_num
for m in range(quarter_num):
quarter_sum[cwe][m] = cwe_sum[3*m][cwe] + cwe_sum[3*m+1][cwe] + cwe_sum[3*m+2][cwe]
quarter_sum_DLA[cwe][m] = cwe_sum_DLA[3*m][cwe] + cwe_sum_DLA[3*m+1][cwe] + cwe_sum_DLA[3*m+2][cwe]
print(quarter_sum)
print(quarter_sum_DLA)
quartersx = []
for i in range(1,self.years+1):
for j in range(1,5):
if j==1:
quartersx.append('Q' + str(j)+'\''+str(i).zfill(2))
else:
quartersx.append(' ')
## Filter only wheezy. Do it for a selection of types:
root_list = ['682', '118', '330', '435', '664', '691', '693', '697', '703', '707', '710' ]
fig = plt.figure()
ii = 0
for j in [1, 4, 6, 11]:
ii += 1
quarter_sum_regular = [0] * (12*4+1) + quarter_sum[j][12*4+1:12*4+9] + [0] * 12
quarter_sum_errors = [0] * (12*4 + 9) + quarter_sum[j][12*4+9:12*4+9+5] + [0] * 7
LTS_quarter = [0] * (15*4+2) + quarter_sum_DLA[j][15*4+2:-3-4]
#print(quarter_sum_errors)
cut = 12*4+1
n = len(quarter_sum[j]) - cut -7
x = range(quarter_num-cut-3-4)
width = 1/2
#print(len(LTS_quarter))
print(len(x))
print(len(quarter_sum_regular[cut:]))
print(len(quarter_sum_errors[cut:]))
print(len(LTS_quarter[cut:]))
ax = fig.add_subplot(2,2,ii)
bar1 = plt.bar(x, quarter_sum_regular[cut:], width, color='darkblue', label='regular', edgecolor='black')
bar12 = plt.bar(x, quarter_sum_errors[cut:], width, color='darkorange', label='regular*', edgecolor='black')
bar2 = plt.bar(x, LTS_quarter[cut:], width, color='darkred', label ='long-term', edgecolor='black')
if ii==2:
plt.legend(handles=[bar1, bar12, bar2])
plt.xticks(np.arange(0,n),quartersx[cut:], rotation="vertical")
try:
plt.ylabel('CWE-' + root_list[j])
except IndexError:
plt.ylabel('N/A')
plt.xlabel('Quarter')
carlosplt.post_paper_plot(True,True,True)
plt.show()