I have a simple task that I'm wondering if there is a better / more efficient way to do. I have a dataframe that looks like this:
Group Score Count
0 A 5 100
1 A 1 50
2 A 3 5
3 B 1 40
4 B 2 20
5 B 1 60
And I want to add a column that holds the value of the group total count:
Group Score Count TotalCount
0 A 5 100 155
1 A 1 50 155
2 A 3 5 155
3 B 1 40 120
4 B 2 20 120
5 B 1 60 120
The way I did this was:
Grouped=df.groupby('Group')['Count'].sum().reset_index()
Grouped=Grouped.rename(columns={'Count':'TotalCount'})
df=pd.merge(df, Grouped, on='Group', how='left')
Is there a better / cleaner way to add these values directly to the dataframe?
Thanks for the help.
Some other options are discussed here.