pandas reset index after performing groupby and retain selective columns

Question

I want to take a pandas dataframe, do a count of unique elements by a column and retain 2 of the columns. But I get a multi-index dataframe after groupby which I am unable t

Answer 1

Use SeriesGroupBy.nunique and filter columns in list after groupby:

df2 = df.groupby('Ticker')['Date_1','Count','ID'].nunique().reset_index()
print(df2)
  Ticker  Date_1  Count  ID
0     AA       1      1   1
1     BB       2      2   2
2     CC       2      2   2
3     DD       1      1   1