Вычисление совокупных средних значений (Как это сделать?)

Question

У меня есть три функции: одна для вычисления среднего уровня, одна для взвешенных оценок и одна для среднего по программе. Эти функции вычисляют баллы конкретного учащегося, который выбирает пользователь. (Для отл. Рассчитает лаборатории Средн. Только Ablao не других студентов)

Ablao 3 74 96 72 88 71 80 83 77 90 88 95 71 76 94 80 74 98 77 
Anderson 3 76 92 98 95 92 76 93 97 85 76 85 93 82 88 75 84 92 77 
Aspinwall 1 86 74 78 97 86 94 73 95 74 91 75 94 83 99 83 78 88 96 
Bacon 4 72 95 81 80 89 88 100 87 87 81 79 77 75 83 87 96 72 95 

Существует информация для 60 студентов в файле. Первое число после имени означает класс ученика. 1 = Freshman 2 = Sophomore и т. Д.

Мне нужно создать новую функцию, которая будет использовать мои существующие функции для вычисления средних значений ВСЕХ учащихся в совокупности, а также учащихся для каждого класса, а затем средних средних значений, и мин.

Код, который я написал до сих пор, для этой функции не работает, и я не знаю, как начать приближаться к проблеме.

with open(FileName, 'r') as f: 
    line = f.readlines() 

student_status=(float(line.split()[1])) 

def make_lists_of_status(): 
    if (student_status==1): 
     Freshman.append(student_scores) 
    elif (student_status==2): 
     Sophomores.append(student_scores) 
    elif (student_status==3): 
     Juniors.append(student_scores) 
    elif (student_status==4): 
     Seniors.append(student_scores) 

Ожидаемый результат должен быть как

This option is for viewing statistics sorted by the year of student. 
    Please select one of the following options: 
    a for ALL YEARS 
    b for FRESHMAN 
    c for SOPHMORES 
    d for JUNIORS 
    e for SENIORS 

Enter your choice here: e 

For Seniors: 
High/Low/Mean of all Weighted Scores: 89.53999999999999/ 81.60000000000001/86.15736842105264 
High/Low/Mean of all Lab Averages: 89.6/80.2/86.21052631578948 
High/Low/Mean of all Program Averages: 94.33333333333333/77.0/86.78947368421052 

Answer 1

Это может быть сделано с помощью словаря.

students = {} 

with open("inCSV.txt", "r") as f: 
    for line in f.readlines(): 
     data = line.rstrip().split(" ") 

     student_name = data[0] 
     student_grade = data[1] 
     student_data = [int(x) for x in data[2:]] 
     student_avg = sum(student_data[2:])/float(len(student_data[2:])) 

     # Set the students name to a tuple of student's grade and average 
     students[student_name] = (student_grade, student_avg) 

# Sort the students by their averages. (Descending order) 
# Add reverse=True to have it in ascending order 
print sorted(students.keys(), key=lambda x: students[x][1]) 

EDIT

Он все еще может быть сделано аналогичным образом.

students = {} 

def weighted_scores(x): 
    return x 

with open("inCSV.txt", "r") as f: 
    for line in f.readlines(): 
     data = line.rstrip().split(" ") 

     student_name = data[0] 
     student_grade = data[1] 
     student_data = [int(x) for x in data[2:]] 

     student_program_avg = sum(student_data[2:])/float(len(student_data[2:])) 
     # Edit this part to your code 
     student_weighted_scores = weighted_scores(data[2:]) 
     student_lab_averages = lab_average(data[2:]) 

     students[student_name] = (student_grade, 
            student_weighted_scores, 
            student_lab_averages, 
            student_program_avg) 
print students 

def get_level(x): 
    ret_dict = {} 
    for k, v in students: 
     if v[0] == x: 
      ret_dict[k] = v 


def choose(x): 
    people = get_level(x) 
    overall = [] 

    for s in range(1, 4): 
     # Get grades of either weighted scores, lab averages or just average. 
     # Sort grades in descending order 
     grades = sorted(people.keys(), key=lambda x: people[x][s]) 

     highest = grades[0] 
     lowest = grades[-1] 
     mean = sum(grades[2:])/float(len(grades[2:]) 

     overall.append((highest, lowest, mean)) 

    # overall[0] => weighted scores 
    # overall[1] => lab averages 
    # overall[2] => program average 
    # overall[x][0] => highest of x 
    # overall[x][1] => lowest of x 
    # overall[x][2] => mean of x 

    print "For %i level:" % (x) 
    print "High/Low/Mean of Weighted Scores: %i/%i/%i" % (overall[0][0], overall[0][1], overall[0][2]) 
    print "High/Low/Mean of Lab Averages: %i/%i/%i" % (overall[1][0], overall[1][1], overall[1][2]) 
    print "High/Low/Mean of Weighted Scores: %i/%i/%i" % (overall[2][0], overall[2][1], overall[2][2]) 

# Let's say you picked seniors: 
choose(4) 

Answer 2

Я думаю, что это делает то, что вы хотите:

scores_student = {} 
scores_grade = [[],[],[],[]] 
scores_all  = [] 
with open("students.txt", "r") as f: 
    for line in f: 
     # Parse the line 
     toks = line.split() 
     name = toks[0] 
     grade = int(toks[1]) 
     scores = [float(tok) for tok in toks[2:]] 
     # Save scores both per student, in that student's grade, and total 
     scores_student[(name,grade)] = scores 
     scores_grade[grade-1] += scores 
     scores_all += scores 

# Print individual student info 
print "Students" 
for name,grade in sorted(scores_student): 
    score = scores_student[(name,grade)] 
    print "%-10s %d mean %4.1f max %3d min %3d" % (name, grade, sum(score)/len(score), max(score), min(score)) 
print 
print "Summary" 
for grade, score in enumerate(scores_grade): 
    if len(score) > 0: 
     print "grade %d mean %4.1f max %3d min %3d" % (grade+1, sum(score)/len(score), max(score), min(score)) 
print "all  mean %4.1f max %3d min %3d" % (sum(scores_all)/len(scores_all), max(scores_all), min(scores_all))