您还可以创建一个函数来检查您的条件并将其应用于数据框:

You can also create a function to check your conditions, and apply to the dataframe:

def condition(value):
    if 25 <= value <= 35:
        return 1
    return 0

# stealing sample from @AnandSKumar because I'm lazy
In [32]: df
Out[32]: 
   age
0   25
1   35
2   76
3   21
4   23
5   30

In [33]: df['age'] = df['age'].apply(condition)

In [34]: df
Out[34]: 
   age
0    1
1    1
2    0
3    0
4    0
5    1

或使用带有lambda的衬纸:

Or using one liner with lambda:

df['age'] = df['age'].apply(lambda x: 1 if 25 <=  x <= 35 else 0)