In dataframe have 4 columns col_A,col_B,col_C,col_D.Need to group the columns(col_A,col_B,col_C) and aggregate mean by col_D. Below is the code snippet I tried and it worked df.groupby(['col_A','col_B','col_C']).agg({'col_D':'mean'}).reset_index() But in addition to the above result, also require the group by count of ('col_A','col_B','col_C') along with aggregation. Any help on this please. Continue reading...
