Pandas Group By and Sum Every N rows

Question

I have time series data and I want to group by and calculate the sum every 3 rows. Seems like a straightforward task but I\'m not able to figure it out. I would appreciate your

Answer 1

First elevate your index to a series. Then use groupby + agg with a dictionary:

df = df.reset_index()

d = {'DATE': 'last', 'AE_NAME': 'last', 'ANSWERED_CALL': 'sum'}

res = df.groupby(df.index // 3).agg(d)

print(res)

        DATE       AE_NAME  ANSWERED_CALL
0 2018-10-10  AlecSochacki           15.0
1 2018-10-15  AlecSochacki           12.0
2 2018-10-18  AlecSochacki           16.0
3 2018-10-19  AlecSochacki            7.0

You've got some unclear logic for the first row, so you may need one or two more operations.