In a pandas DataFrame, is it possible to collapse columns which have identical values, and sum up the values in another column?
Code
data = {"score":{"0":9.397,"1":9.397,"2":9.397995,"3":9.397996,"4":9.3999},"type":{"0":"advanced","1":"advanced","2":"advanced","3":"newbie","4":"expert"},"count":{"0":394.18930604,"1":143.14226729,"2":9.64172783,"3":0.1,"4":19.65413734}}
df = pd.DataFrame(data)
df
Output
count score type
0 394.189306 9.397000 advanced
1 143.142267 9.397000 advanced
2 9.641728 9.397995 advanced
3 0.100000 9.397996 newbie
4 19.654137 9.399900 expert
In the example above, the first two rows have the same score
and type
, so these rows should be merged together and their scores added up.
Desired Output
count score type
0 537.331573 9.397000 advanced
1 9.641728 9.397995 advanced
2 0.100000 9.397996 newbie
3 19.654137 9.399900 expert
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