pandas - Merge nearly duplicate rows based on column value

Question

I have a pandas dataframe with several rows that are near duplicates of each other, except for one value. My goal is to merge or \"coalesce\" these rows into a

Answer 1

You can groupby and apply the list function:

>>> df['Use_Case'].groupby([df.Name, df.Sid, df.Revenue]).apply(list).reset_index()
    Name    Sid     Revenue     0
0   A   xx01    $10.00  [Voice, SMS]
1   B   xx02    $5.00   [Voice]
2   C   xx03    $15.00  [Voice, SMS, Video]

(In case you are concerned about duplicates, use set instead of list.)