从pandas dataframe中删除列，其中header包含某个范围中的int

import pandas as pd

def remove_columns_with_int_range(df, start, end):
    int_columns = [col for col in df.columns if any(map(str.isdigit, col)) and start <= int(col) <= end]
    df = df.drop(int_columns, axis=1)
    return df

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C1': [7, 8, 9], 'C2': [10, 11, 12], 'D': [13, 14, 15]})
df = remove_columns_with_int_range(df, 1, 2)
print(df)

   A  B   D
0  1  4  13
1  2  5  14
2  3  6  15

import pandas as pd

def remove_columns_with_int_range(df, start, end):
    pattern = r'\b\d+\b'  # 匹配整数的正则表达式模式
    int_columns = df.filter(regex=pattern).columns
    df = df.drop(int_columns, axis=1)
    return df