-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathClasses.py
125 lines (103 loc) · 4.23 KB
/
Classes.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def newRep (vector):
#Function that gives an int as Semester instead of e.g. 'WS17/18' for the hole array.
tempVector=np.zeros(len(vector))
for i in range(len(vector)):
if vector[i].find('SS')!= (-1):
tempVector[i] = float(vector[i][2:])
elif vector[i].find('WS')!= (-1):
tempVector[i] = float(vector[i][2:4])+0.5
tempVector = tempVector.astype(np.float)
#print(vector)
newVector = np.zeros(len(vector))
#print(vector)
start = np.min(tempVector)
#print(start)
current=start
counter = 0
while current<=np.max(tempVector):
indexList = np.where(tempVector==current)
#print(current, np.max(vector))
for i in range(len(indexList)):
newVector[indexList[i]]=counter
counter += 1
current += 0.5
return newVector
class Student:
def __init__(self, name, grades=[], times=[], discreteTimes=[], courseNames=[], workloads=[], time_rank=[]):
self.name = name
self.grades = np.array(grades)
self.times = np.array(times)
self.courseNames = np.array(courseNames)
self.discreteTimes = np.array(discreteTimes)
self.setDiscreteTimeValueVector()
self.workloads = np.array(workloads)
self.workloads = np.zeros(len(self.times))
self.time_rank = np.zeros(len(self.discreteTimes))
def pop(self, index):
self.grades=np.delete(self.grades, index)
self.times=np.delete(self.times, index)
self.courseNames=np.delete(self.courseNames, index)
self.discreteTimes=np.delete(self.discreteTimes, index)
return self.grades, self.times, self.courseNames, self.discreteTimes
def pop_without_discreteTimes(self, index):
self.grades=np.delete(self.grades, index)
self.times=np.delete(self.times, index)
self.courseNames=np.delete(self.courseNames, index)
return self.grades, self.times, self.courseNames
def zero_mean_grades(self):
gpa = np.mean(self.grades)
self.grades = self.grades-gpa
return self.grades
def setGrade(self, value):
self.grades = np.append(self.grades,value)
return self.grades
def setTime(self, value):
self.times = np.append(self.times,value)
return self.times
def setDiscreteTimeValueVector(self):
if(self.times != []):
self.discreteTimes = newRep(self.times)
return self.discreteTimes
def setExam(self, grade, time, courseName):
if len(self.grades)!=len(self.times):
print('Warning: grades and times vectors have different length!', len(self.grades), 'vs.', len(self.times))
if len(self.grades)!=len(self.courseNames):
print('Warning: grades and times vectors have different length!', len(self.grades), 'vs.', len(self.courseNames))
self.grades = np.append(self.grades,grade)
self.times = np.append(self.times,time)
self.courseNames = np.append(self.courseNames, courseName)
return self.grades, self.times, self.courseNames
def setWorkload(self, value):
self.workloads = np.append(self.workloads,value)
def getGrades(self):
print(self.grades)
return(self.grades)
class StudentGroup:
def __init__(self, name, members=[], students=[]):
self.name = name
self.students = students
self.members = members
#def __del__(self):
# self.students=[]
# self.members=[]
# print('Destructor called, StudentGroup __',self.name,'__ deleted.')
def append(self, NewStudent):
self.students.append(NewStudent)
self.members.append(NewStudent.name)
return self.students, self.members
# def popStudent(self, Student):
# self.
#def intersectionOfGroups(A,B, listOfCourses):#
# bolA=True
# bolB=True
# for course in listOfCourses:
# for student in A.students:
#
# if not course in A.courseNames:
# bolA=False
#
# return (intersection)
#