How to create a lagged data structure using pandas dataframe

Question

Example

s=pd.Series([5,4,3,2,1], index=[1,2,3,4,5])
print s 
1    5
2    4
3    3
4    2
5    1

Is there an efficient way to create a serie

Answer 1

For a dataframe df with the lag to be applied on 'col name', you can use the shift function.

df['lag1']=df['col name'].shift(1)
df['lag2']=df['col name'].shift(2)