Setting 1 or 0 to new Pandas column conditionally [duplicate]

Answer 1

Try:

>>> df['lunch']=df['hour'].apply(lambda x: 1 if x >= 11 or x <= 1 else 0)
>>> df
   hour  lunch
0     0      1
1     1      1
2     1      1
3     2      0
4     2      0