import pandas as pd import numpy as np

创建示例数据

data = {'accessMin': [10, np.nan, 20, 30], 'accessDMin': [5, 15, 25, 35]} df = pd.DataFrame(data)

判断 accessMin 是否为 nan，若是则用 accessDMin 填充，否则使用 accessMin

df['accMinfinal'] = np.where(df['accessMin'].isnull(), df['accessDMin'], df['accessMin'])

print(df)