Question

我有以下数据集；

     Subject                                         Student ID  Student Number
0      Cit11  [S95, S96, S97, S98, S99, S100, S101, S102, S1...              45
1  EngLang11  [S95, S96, S97, S98, S99, S100, S101, S102, S1...              45
2   EngLit11  [S110, S111, S112, S113, S114, S115, S116, S11...              21
3      Fre11  [S95, S96, S97, S99, S100, S101, S102, S103, S...              26
4      Ger11  [S114, S115, S116, S117, S118, S124, S125, S12...              13
5      His11  [S95, S96, S97, S98, S99, S100, S101, S102, S1...              45
6      Mat11  [S95, S96, S97, S98, S99, S100, S101, S102, S1...              45
7      Spa11  [S95, S97, S98, S99, S100, S102, S103, S104, S...              23

其中'Student Number'是每个'Student ID'中'Subject'的总数。

让我们说最大'Student Number'应该是30（classroom_Max_Capacity返回值），下面的代码返回'Student Number'超出最大值的索引。

idx = filtered_Group[filtered_Group['Student Number'] > classroom_Max_Capacity].index.tolist()
Output: [0, 1, 5, 6]

我想知道是否可以通过更改'Subject'名称和'Student ID'以适应最大学生人数将这些行分为两部分；例如，

Subject                                         Student ID  Student Number
0      Cit11_1  [S95, S96, S97, S98, S99, S100, S101, S102, S1...              30
1      Cit11_2  [S110, S115, S116...                                           15
2  EngLang11_1  [S95, S96, S97, S98, S99, S100, S101, S102, S1...              30
3  EngLang11_2  [S110, S115, S116...                                           15
4     EngLit11  [S110, S111, S112, S113, S114, S115, S116, S11...              21
5        Fre11  [S95, S96, S97, S99, S100, S101, S102, S103, S...              26
6        Ger11  [S114, S115, S116, S117, S118, S124, S125, S12...              13
7      His11_1  [S95, S96, S97, S98, S99, S100, S101, S102, S1...              30
8      His11_2  [S110, S115, S116...                                           15
9      Mat11_1  [S95, S96, S97, S98, S99, S100, S101, S102, S1...              30
10     Matt11_2 [S110, S115, S116...                                           15
11       Spa11  [S95, S97, S98, S99, S100, S102, S103, S104, S...              23

是否可以通过不专门写修改后的'Subject'名称来添加到数据框中来实现？

-编辑

我试图通过做类似的事情来解决问题；

filtered = filtered_Group.iloc[idx]

student_list = filtered['Student ID'].explode().str.split(', ')
subject_list = filtered['Subject']

for i in idx:
    for number in range(classroom_Max_Capacity):
        df.append({temp_subject_list[i]: temp_student_list[number]})

但是，这当然行不通，因此不胜感激。

Answer 1

您可以使用explode枚举学生，然后使用groupby：

# randome data
np.random.seed(1)
df = pd.DataFrame({
    'Subject': list('abcdef'),
    'Student Number': [np.random.choice(np.arange(20), 
                                        np.random.randint(3,10),
                                        replace=None)
                       for _ in range(6)]
})

# maximum number of students allowed
max_students = 5

# output:
(df.explode('Student Number')
   .assign(section=lambda x: x.groupby('Subject')
                              .cumcount()//max_students + 1
          )
   .groupby(['Subject','section'])
   ['Student Number'].agg([list, 'count'])
)

输出：

                                list  count
Subject section                            
a       1        [15, 10, 3, 18, 17]      5
        2                [14, 16, 4]      3
b       1           [3, 2, 5, 8, 17]      5
        2                   [13, 10]      2
c       1        [11, 18, 2, 12, 16]      5
        2                 [17, 0, 4]      3
d       1               [16, 19, 11]      3
e       1         [16, 5, 4, 12, 15]      5
        2                       [19]      1
f       1          [18, 17, 3, 0, 1]      5
        2                [9, 14, 13]      3

在熊猫数据框中将行划分/拆分为多行

1 个答案: