如何在使用 python 时只对 csv 文件中的第一列进行排序而不影响任何其他列

Question

我正在处理一个表（csv 文件），其中包含以下数据：

roll_no,student_name,grade,email_id  
1,Aarav Gosalia,Grade 11,aarav.gosalia@flag.org.in  
2,Aarav Rawal,Grade 11,aarav.rawal@flag.org.in  
3,Abizar Chitalwala,Grade 11,abizar.chitalwala@flag.org.in  
4,Ahad Motorwala,Grade 11,ahad.motorwala@flag.org.in  
5,Armaan Adenwala,Grade 11,armaan.adenwala@flag.org.in  
6,Aryan Shah,Grade 11,aryan.shah@flag.org.in  
7,Baasit Motorwala,Grade 11,baasit.motorwala@flag.org.in  
16,Caroline Walker,Grade 11,caroline.walker@flag.org.in  
8,Darsshan Kavedia,Grade 11,darsshan.kavedia@flag.org.in  
9,Devanshi Rajgharia,Grade 11,devanshi.rajgharia@flag.org.in  
10,Dhruv Jain,Grade 11,dhruv.jain@flag.org.in  
11,Eisa Patel,Grade 11,eisa.patel@flag.org.in  
12,Esha Khimawat,Grade 11,esha.khimawat@flag.org.in  
13,Fatima Unwala,Grade 11,fatima.unwala@flag.org.in  
14,Hamza Erfan,Grade 11,hamza.erfan@flag.org.in  
15,Harsh Gosar,Grade 11,harsh.gosar@flag.org.in  

所以你可以看到所有的名字都被排序了，但卡罗琳沃克的卷号是 16。所以我想要一种方法来只对卷号进行排序，而不影响其他任何列。 我希望决赛桌看起来像这样：

roll_no,student_name,grade,email_id   
1,Aarav Gosalia,Grade 11,aarav.gosalia@flag.org.in  
2,Aarav Rawal,Grade 11,aarav.rawal@flag.org.in  
3,Abizar Chitalwala,Grade 11,abizar.chitalwala@flag.org.in  
4,Ahad Motorwala,Grade 11,ahad.motorwala@flag.org.in  
5,Armaan Adenwala,Grade 11,armaan.adenwala@flag.org.in  
6,Aryan Shah,Grade 11,aryan.shah@flag.org.in  
7,Baasit Motorwala,Grade 11,baasit.motorwala@flag.org.in  
8,Caroline Walker,Grade 11,caroline.walker@flag.org.in  
9,Darsshan Kavedia,Grade 11,darsshan.kavedia@flag.org.in  
10,Devanshi Rajgharia,Grade 11,devanshi.rajgharia@flag.org.in  
11,Dhruv Jain,Grade 11,dhruv.jain@flag.org.in  
12,Eisa Patel,Grade 11,eisa.patel@flag.org.in  
13,Esha Khimawat,Grade 11,esha.khimawat@flag.org.in  
14,Fatima Unwala,Grade 11,fatima.unwala@flag.org.in  
15,Hamza Erfan,Grade 11,hamza.erfan@flag.org.in  
16,Harsh Gosar,Grade 11,harsh.gosar@flag.org.in  

请帮助我，并记住我还是 Python 的初学者。

Answer 1

只需使用熊猫。 df['roll_no'] = range(1:len(df))

Answer 2

pandas是一种方式。

import pandas as pd

df = pd.read_csv('file.csv')
df.sort_values(by='roll_no')
df.to_csv('file.csv',index=False)

Answer 3

这将起作用：

df = pd.DataFrame({'id':[1,3,2,7],
                   'name': ['M', 'r', 'd', 'd']})
df['id'] =  list(df['id'].sort_values())
df

结果：

    id  name
0   1   M
1   2   r
2   3   d
3   7   d