Loop to remove the same letter of each row

Question

In Python, if I want to add a letter in each row of a column, I use this:

df = df.assign(Meses=[f'M{i}' for i in df.Meses])

               Meses  
1               M1  
2               M2   
3               M3    
4               M4   
5               M5    
6               M6   
7               M7    
8               M8   
9               M9    
10              M10    
11              M11

How can I do the opposite (remove the "m" of each row of a certain column)?

Answer 1

This should be much faster:

df['Meses'] = df['Meses'].astype(str).str[1:]

Output:

   Meses
1   1
2   2
3   3
4   4
5   5
6   6
7   7
8   8
9   9
10  10
11  11

Answer 2

df = df.assign(Meses=[mi[1:] for mi in df.Meses])

should work.

EDIT: But as suggested by @harvpan,

df['Meses'] = df['Meses'].astype(str).str[1:]

might be consequently faster because it is entirely pandas native.