如何从pandas数据框列中剥离符号

import pandas as pd
import re

data = {'col1': ['$100', '$200', '$300'], 'col2': ['€400', '¥500', '£600']}
df = pd.DataFrame(data)

def strip_symbols(value):
    pattern = r'[^0-9.]'  # 正则表达式模式，匹配除数字和小数点以外的字符
    return re.sub(pattern, '', value)

df['col1_stripped'] = df['col1'].apply(strip_symbols)
df['col2_stripped'] = df['col2'].apply(strip_symbols)

print(df)

   col1  col2 col1_stripped col2_stripped
0  $100  €400           100           400
1  $200  ¥500           200           500
2  $300  £600           300           600