I am converting a SAS code to python and got stuck here.
My input table is like:-
St | sgmt | Val |
---|---|---|
A | CD | 200 |
A | PQ | 300 |
My output should be like:-
Col | Val |
---|---|
A | 500 |
CD | 200 |
PQ | 300 |
500 is the sum of values of same category
You can melt
to combine the "St" and "sgmt" columns, then GroupBy.sum
to aggregate per name:
(df
.melt('Val', value_name='Col')
.groupby('Col', as_index=False)
['Val'].sum()
)
output:
Col Val
0 A 500
1 CD 200
2 PQ 300
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