Pandas dataframe: how to apply describe() to each group and add to new columns?

Question

df:

name score
A      1
A      2
A      3
A      4
A      5
B      2
B      4
B      6 
B      8

Want to get the following new dataframe in

Answer 1

Table is stored in dataframe named df

df= pd.read_csv(io.StringIO(data),delimiter='\s+')

Just specify column name and describe give you required output. In this way you calculate w.r.t any column

df.groupby('name')['score'].describe()