def Menu3(col):
print("Enter section of which weak students you want to find")
print("Enter 'a' to find all sections weak students: ")
choice = input("Enter your choice:")
marks=[]
names=[]
reg=[]
obj=Write()
obj.createFile()
if (choice == 'a'):
for i in range(len(sheets)):
file=readFile(sheets[i])
file.readRegAndNames()
file.Marks(col)
std=weakStudents()
std.find_weak_std(file.Marks,file.registerations,file.names)
mails=std.createMail(std.weak_std_rg)
obj.writee(col,std.weak_stdname,std.weak_std_rg,mails)
return 1
else:
ob=CheckData(choice)
if(ob.check_SecifExists('ResultSheet')):
if(ob.check_ifDataExist(col,'ResultSheet')):
file = readFile(choice)
file.readRegAndNames()
file.readMarks(col)
std = weakStudents()
std.find_weak_std(file.Marks, file.registerations, file.names,file.totalMarks)
mails = std.createMail(std.weak_std_rg)
obj.writee(col, std.weak_stdname, std.weak_std_rg, mails)
return 1
else:
print("Data do not exist")
return 0
else:
print("Section do not exist")
return 0
def draw_graph_ofAllSecMinPoints(self, col, sec):
min = []
for i in range(len(sec)):
read = readFile(sec[i])
read.readMarks(col)
read.readRegAndNames()
points = Find_Points()
points.find_min(read.Marks, read.registerations)
min.append(points.min)
plt.plot(sec, min, color=(0.3, 0.1, 0.4, 0.6))
plt.scatter(sec, min, color=(0.3, 0.5, 0.4, 0.6))
plt.xlabel('Sections')
plt.ylabel('Minimum Marks')
plt.title('OOAD sections minimum marks')
plt.show()
def draw_graph_ofAllSecAVGPoints(self, col, sec):
avg = []
for i in range(len(sec)):
read = readFile(sec[i])
read.readMarks(col)
read.readRegAndNames()
points = Find_Points()
points.find_avg(read.Marks, read.totalMarks)
avg.append(points.avg)
plt.plot(sec, avg, color=(0.3, 0.1, 0.4, 0.6))
plt.scatter(sec, avg, color=(0.3, 0.5, 0.4, 0.6))
plt.xlabel('Sections')
plt.ylabel('Average Marks')
plt.title('OOAD sections average marks')
plt.show()
def draw_graph_mith_MinMax_points(self, col, sheetname):
read = readFile(sheetname)
read.readMarks(col)
points = Find_Points()
points.find_min(read.Marks, read.registerations)
points.find_max(read.Marks, read.registerations)
points.find_avg(read.Marks, read.registerations)
graphy = graph(sheetname)
plt = graphy.draw_Simple_graph()
plt.scatter(points.min_cell,
points.min,
color='r',
label='Minimum Marks')
plt.scatter(points.max_cell,
points.max,
color='b',
label='Maximum Marks')
#num=str(points.avg)
#text='Average = ' + num
# plt.figtext(text,0.2,1.3)
plt.title(sheetname + 'Data')
plt.show()
from ReadFile import readFile
from bs4 import BeautifulSoup
doc = readFile("xml/book.xml")
soup = BeautifulSoup(''.join(doc), features='html5lib')
print(soup.prettify())
from ReadFile import readFile
from bs4 import BeautifulSoup
doc = readFile("xml/book.xml")
soup = BeautifulSoup(doc, features='html5lib')
tags = soup.findAll("author") # list of tags
# 3 ways to print tags
for tag in tags: print(str(tag))
for tag in tags: print(tag.renderContents())
for tag in tags: print(tag.prettify())
1
from Bilinear import Bilinear
from Neighbor import Neighbor
from ReadFile import readFile
from WriteFile import writeFile
image = readFile("Image\lena.pgm")
writeFile(image, "Image\original.pgm")
neigh = Neighbor(image, 1024, 1024)
biline = Bilinear(image, 1024, 1024)
writeFile(neigh, "Image\\neigh.pgm")
writeFile(biline, "Image\\biline.pgm")
print("Выполшненно")
