如何按列值对python pandas数据帧进行十进制，然后对每个十进制数求和？

import pandas as pd

data = {'A': [1, 2, 3],
        'B': [4, 5, 6],
        'C': [7, 8, 9]}
df = pd.DataFrame(data)

df_decimal = df.apply(lambda x: int(''.join(str(i) for i in x), 2))

sum_decimal = df_decimal.sum()

import pandas as pd

data = {'A': [1, 2, 3],
        'B': [4, 5, 6],
        'C': [7, 8, 9]}
df = pd.DataFrame(data)

df_decimal = df.apply(lambda x: int(''.join(str(i) for i in x), 2))
sum_decimal = df_decimal.sum()

print("按列值转换为十进制后的数据帧：")
print(df_decimal)
print("每个十进制数的求和结果：")
print(sum_decimal)