如何避免在python panda dataframe中删除msb中的0

import pandas as pd

data = {'A': [1, 0, 3, 0, 5],
        'B': [0, 2, 0, 4, 0],
        'C': [0, 0, 0, 0, 0]}
df = pd.DataFrame(data)

df = df.drop(df.columns[df.eq(0).all()], axis=1)

print(df)

import pandas as pd

data = {'A': [1, 0, 3, 0, 5],
        'B': [0, 2, 0, 4, 0],
        'C': [0, 0, 0, 0, 0]}
df = pd.DataFrame(data)

df = df.drop(df.columns[df.eq(0).all()], axis=1)

print(df)