Get statistics for each group (such as count, mean, etc) using pandas GroupBy?

Question

I have a data frame df and I use several columns from it to groupby:

df[\'col1\',\'col2\',\'col3\',\'col4\'].groupby([\'col1\',\'co         


        

Answer 1

To get multiple stats, collapse the index, and retain column names:

df = df.groupby(['col1','col2']).agg(['mean', 'count'])
df.columns = [ ' '.join(str(i) for i in col) for col in df.columns]
df.reset_index(inplace=True)
df

Produces: