Here my pandas: d= {'dates': ['2020-07-16','2020-07-15','2020-07-14','2020-07-13','2020-07-12','2020-07-11','2020-07-10'], 'T':[3392,3020,663,2877,366,200,100], 'P': [53,91,0,55,3,22,55]} df = pandas.DataFrame(data=d) df['dates']=pandas.to_datetime(df['dates']) If I pack my pandas each 3 days using Grouper: for _, grp in df.groupby(pandas.Grouper(key='dates', freq='3D')):# print (grp) dates T P 6 2020-07-10 100 55 5 2020-07-11 200 22 4 2020-07-12 366 3 dates T P 3 2020-07-13 2877 55 2 2020-07-14 663 0 1 2020-07-15 3020 91 dates T P 0 2020-07-16 3392 53 Now I want to pack each 3 days but with one days shift: 8 2020-07-10 100 55 7 2020-07-11 200 22 6 2020-07-12 366 3 dates T P 11 2020-07-11 200 22 10 2020-07-12 366 3 9 2020-07-13 2877 55 dates T P 8 2020-07-12 366 3 7 2020-07-13 2877 55 6 2020-07-14 663 0 dates T P 5 2020-07-13 2877 55 4 2020-07-14 663 0 3 2020-07-15 3020 91 dates T P 2 2020-07-14 663 0 1 2020-07-15 3020 91 0 2020-07-16 3392 53 How can I stipulate this to Grouper ? Continue reading...