Problem to replace a strange string need some advise

I was transforming my object data to float and int and I found this error:

ValueError: invalid literal for int() with base 10: '[24]'

from what I understand the [] are like strings and I’m having trouble removing them and leaving just the number, how do I do that? I tried to replace but when I put ‘[]’ as a character to replace, it understands as a list, I want to remove [] to leave only the number,

>Solution :

You can try .str.strip

df['out'] = df['col'].str.strip('[]')

print(df)

    col out
0  [23]  23
1  [23]  23
2  [23]  23