Question

我正在构建一个程序，提示用户加载csv文件。 csv文件始终包含列StudentID，名称，工作分配1、2、3 ... 工作分配的数量。

我试图显示一个名称列表，其中每个作业都有一个等级，最后一个等级是从导入的函数computeFinalGrade计算得出的。

如何更改代码的最后一行以打印正确数量的作业的成绩和最终成绩？

所需的输出： 如果csv仅具有“ Assignment1”，则输出应为：

“迈克尔·安徒生（Michael Andersen）获得了10年级。最终成绩为10分”。

如果csv包含5个分配，则输出应为：

“ Michael Andersen获得了10,7,12,7,10的分数。最终的分数是10”

我的代码：

useEffect

Answer 1

使用：

df = pd.read_csv(filename,sep=';')
#filter DataFrame by positions
df1 = df.iloc[:,2:]
#count computeFinalGrades
f = computeFinalGrades(df1.values)

#all Assignments convert to joined string
df['Assignment'] = df1.astype(str).apply(', '.join, axis=1)
df['FinalGrade'] = f

#zip columns together and loop
for name, assign, final in zip(df['Name'],df['Assignment'],df['FinalGrade']):
    #python 3.6+ f-strings
    print(f'{name} has obtained the grades {assign}. The final grade is {final}')
    #python bellow with format
    print('{} has obtained the grades {}. The final grade is {}'.format(name, assign, final))

示例：

df = pd.DataFrame({
        'Name':list('abcd'),
         'StudentID':[7,8,9,4],
         'Assignment1':[1,3,5,7],
         'Assignment2':[5,3,6,9],

})

print (df)
  Name  StudentID  Assignment1  Assignment2
0    a          7            1            5
1    b          8            3            3
2    c          9            5            6
3    d          4            7            9

#sample function
def computeFinalGrades(x):
    return x.sum()

#filter DataFrame by positions
df1 = df.iloc[:,2:]
#count computeFinalGrades
f = computeFinalGrades(df1.values)

#all Assignments convert to joined string
df['Assignment'] = df1.astype(str).apply(', '.join, axis=1)
df['FinalGrade'] = f
print (df)
  Name  StudentID  Assignment1  Assignment2 Assignment  FinalGrade
0    a          7            1            5       1, 5          39
1    b          8            3            3       3, 3          39
2    c          9            5            6       5, 6          39
3    d          4            7            9       7, 9          39

for name, assign, final in zip(df['Name'],df['Assignment'],df['FinalGrade']):
    print(f'{name} has obtained the grades {assign}. The final grade is {final}')

a has obtained the grades 1, 5. The final grade is 39
b has obtained the grades 3, 3. The final grade is 39
c has obtained the grades 5, 6. The final grade is 39
d has obtained the grades 7, 9. The final grade is 39

熊猫数据框打印字符串+更改变量

1 个答案: