Pandas groupby on two column and create new column in excel based on result

Question

I have excel file which i am reading in jupyter.

It has three column: 1) Webinar ID : (66 unique value) 2) Email : email id of participants (which can log out in session and join again so duplicate email id for same webinar id) 3) Time in session (minutes) : participant present in session, since he might log out and again log in, there are multiple entries.

Code Used: data_group = data.groupby(['Webinar ID', 'Email'])

data_group['Time in Session (minutes)'].sum()

I want to create new column in excel and store Sum of Time in Session (minutes) information for same - Webinar ID and Email

Thanks!!

Answer 1

IIUC, you wish to create a new column with the sum of times per webinar group and email.

Let's use groupby with transform :

data['Sum Session Minutes'] = (data.groupby(['Webinar ID','Email'])['Time in Session (minutes)']
                                   .transform('sum'))