def generate_students(n):
lst_students = []
for i in range(n):
lst_courses = [
Course(rc(lst_course_names), rc(lst_classrooms), rc(lst_teachers),
rc(lst_ETCS), rc(lst_grades)) for i in range(3)
]
new_dataSheet = DataSheet(lst_courses)
lst_students.append(
Student(rc(lst_names), rc(lst_gender), new_dataSheet,
rc(lst_imgurl)))
write_list_to_file('students.csv', lst_students)
def generate_students(n):
lst_students = []
i = 0
while i < n:
lst_courses = [
Course(rc(lst_course_names), rc(lst_classrooms), rc(lst_teachers),
rc(lst_ETCS), rc(lst_grades)) for i in range(10)
]
new_dataSheet = DataSheet(lst_courses)
lst_students.append(
Student(rc(lst_names), rc(lst_gender), new_dataSheet,
rc(lst_imgurl)))
return lst_students
def generate_students(n):
lst_students = []
for student in range(n):
lst_courses = [
Course(rc(lst_course_names), rc(lst_classrooms), rc(lst_teachers),
rc(lst_ETCS), rc(lst_grades)) for i in range(10)
]
new_dataSheet = DataSheet(lst_courses)
Student(
rc(lst_names),
rc(lst_gender),
new_dataSheet,
)
return lst_students
def read_csv():
if platform.system() == 'Windows':
newline=''
else:
newline=None
with open('students.csv', newline=newline) as f:
reader = csv.reader(f)
#for l in row:
# print("---------------", l)
#my_list.append(Student(row[0], row[1], Course(row[2]), row[3]))
my_list = list(reader)
#print(my_list)
lst = {}
for student in my_list[1:]:
currData = DataSheet(student[2])
literal = ast.literal_eval(currData.courses)
grades = []
sum = 0
for l in literal:
grades.append(l[4])
sum += l[4]
avg_grade = sum/len(grades)
lst[student[0]] = avg_grade
print("GRADES: ",grades)
print("AVG GRADE: ",avg_grade)
print("Students: \n",lst,"\n ")
srted = sorted(lst.items(), key =
lambda kv:(kv[1], kv[0]))
print("Sorted by grade: ", srted )
x, y = zip(*srted)
plt.bar(x, y, width=0.5, align='center')
plt.title("Avg_grades bar plot", fontsize=12)
plt.xlabel("Names", fontsize=10)
plt.ylabel("Avg_grade", fontsize=10)
plt.show()
return my_list
def read_csv():
if platform.system() == 'Windows':
newline = ''
else:
newline = None
with open('students.csv', newline=newline) as f:
reader = csv.reader(f)
#for l in row:
# print("---------------", l)
#my_list.append(Student(row[0], row[1], Course(row[2]), row[3]))
my_list = list(reader)
#print(my_list)
for student in my_list[1:]:
#print("+++++++++++++++++++++", student[2][1])
DataSheet(student[2])
return my_list
def read_csv():
if platform.system() == 'Windows':
newline=''
else:
newline=None
with open('students.csv', newline=newline) as f:
reader = csv.reader(f)
#for l in row:
# print("---------------", l)
#my_list.append(Student(row[0], row[1], Course(row[2]), row[3]))
my_list = list(reader)
#print(my_list)
for student in my_list[1:]:
currData = DataSheet(student[2])
literal = ast.literal_eval(currData.courses)
for l in literal:
print("Literal: ",l)
return my_list
def read_csv():
d = defaultdict(int)
if platform.system() == 'Windows':
newline=''
else:
newline=None
with open('students.csv', newline=newline) as f:
reader = csv.reader(f)
#for l in row:
# print("---------------", l)
#my_list.append(Student(row[0], row[1], Course(row[2]), row[3]))
my_list = list(reader)
#print(my_list)
lst = []
for student in my_list[1:]:
currData = DataSheet(student[2])
literal = ast.literal_eval(currData.courses)
grades = []
sum = 0
for l in literal:
grades.append(l[4])
sum += l[4];
avg_grade = sum/len(grades)
lst.append({'name':student[0],'avg_grade':avg_grade})
print("GRADES: ",grades)
print("AVG GRADE: ",avg_grade)
a = sorted(lst.items(), key=lambda avg_grade: lst[1])
for k, v in lst.items():
print "%s: %s" % (k, v)
print("Students: \n",lst,"\n AAAAAAAA: \n",a)
return my_list
def read_csv():
if platform.system() == 'Windows':
newline=''
else:
newline=None
with open('students.csv', newline=newline) as f:
reader = csv.reader(f)
#for l in row:
# print("---------------", l)
#my_list.append(Student(row[0], row[1], Course(row[2]), row[3]))
my_list = list(reader)
#print(my_list)
lst = ()
for student in my_list[1:]:
currData = DataSheet(student[2])
literal = ast.literal_eval(currData.courses)
grades = []
sum = 0
for l in literal:
grades.append(l[4])
sum += l[4];
avg_grade = sum/len(grades)
lst.append({student[0]:avg_grade})
print("GRADES: ",grades)
print("AVG GRADE: ",avg_grade)
sorted_x = OrderedDict(sorted(lst.items(), key=itemgetter(1)))
print("Students: \n",lst,"\n AAAAAAAA: \n",sorted_x)
return my_list
def __init__(self, name, gender, data_sheet, image_url):
self.name = name
self.gender = gender
self.data_sheet = DataSheet(data_sheet.courses)
self.image_url = image_url
lst_course_names = ["Python", "JavaScript", "Java", "C++"]
lst_gender = ["Male", "Female"]
lst_grades = [0, 2, 4, 7, 10, 12]
lst_classrooms = [1.01, 1.62, 3.12]
lst_ETCS = [10, 20, 30]
lst_imgurl = ["img1", "img2", "img3"]
def rc(lst):
return random.choice(lst)
def generate_students(n):
lst_students = []
for range(n):
lst_courses = [Course(rc(lst_course_names), rc(lst_classrooms), rc(lst_teachers), rc(lst_ETCS), rc(lst_grades)) for i in range(10)]
new_dataSheet = DataSheet(lst_courses)
lst_students.append(Student(rc(lst_names), rc(lst_gender), new_dataSheet, rc(lst_imgurl)))
return lst_students
def get_teachers():
return random.choice(lst_teachers)
# lst_courses = [Course(name, classroom, teacher, ETCS, grade) for range(0, n)]
if __name__ == "__main__":
print("Hello in demo")
print(get_teachers())
for student in generate_students(6):
print(student)
