pandas reset_index() 在应用 groupby 后不起作用

Question

I have a pandas dataframe like this

df = pd.DataFrame({'id':[1,2,3,4,5], 'Opposition':['Sri Lanka', 'Sri Lanka', 'UAE','UAE','Sri Lanka'],
                   'Inning_no':[1,2,1,2,1], 'Wickets':[13,17,14,18,29]})

I have the groupby to get the following output

t = inn.groupby(['Opposition', 'Inning_no'])['Wickets'].agg([('Wickets', 'sum'), ('Played', 'count')])

I have the output like this

                                    Wickets   Played
            Opposition  Inning_no       
            v Sri Lanka    1           42       4
                           2           17       2
            v UAE          1           14       4
                           2           18       6

The problem is that reset_index() is not working with the group by . The multi column index is set on Opposition and Innings_no column. I want the index to be reset and show all in one level like below.

I am having this error

ValueError: cannot insert Opposition, already exists

Answer 1

You can just add reset_index at the end

t = inn.groupby(['Opposition', 'Inning_no'])['Wickets'].agg([('Wickets', 'sum'), ('Played', 'count')]).reset_index()