[英]Appending a dictionary value to a list in python
我在將與鍵“ id”一致的學生詞典值附加到列表時遇到麻煩。 任何幫助深表感謝!
students = list();
students.append( {'id':12345, 'first_name':'Alice',
'last_name':'Anderson','assignments':[('assignment_1',0),('assignment_2',2),
('assignment_3',3)]})
students.append({'id':22345, 'first_name':'John',
'last_name':'Sparks','assignments':[('assignment_1',2),('assignment_2',3),
('assignment_3',4)]})
students.append({'id':32345, 'first_name':'Taylor',
'last_name':'Mason','assignments':[('assignment_1',3),('assignment_2',2),
('assignment_3',3)]})
def return_passing(students):
grade_sum = 0
counter = 0
for s in students: #loop thru students
for assignment, grade in s['assignments']:
grade_sum += grade
counter += 1
average = grade_sum / counter
lst = list()
if average >= 2.0:
lst.append((s['id']))
return lst
return_passing(students)
print(return_passing(students))
在錯誤的地方初始化事物會遇到一些問題,因此它們會被重置。 注釋中有這些說明:
def return_passing(students):
lst = [] # initialize lst here
for s in students: #loop thru students
grade_sum = 0 # reset these for each student
counter = 0
for assignment, grade in s['assignments']:
grade_sum += grade
counter += 1
# now that we have gone throug all assignments
# compute average
average = float(grade_sum) / counter # convert to float for precision
if average >= 2.0:
lst.append(s['id'])
return lst # return only after you've gone through all students
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