how to crate the group by in pandas only in one level

Question

I am importing below df3 dataframe in my excel file and want to grouby only Name and rest dublicate data should reflect as below .

Note (Each Month data will be added

Answer 1

Heres another solution using a list comp and df.duplicated with .loc for assignment.

import numpy as np
df = pd.read_excel(file,sheet_name=yoursheet)

#order the months. 

df['Month'] = pd.Categorical(df['Month'],
               pd.to_datetime(df['Month'],format='%b').drop_duplicates().sort_values().dt.strftime('%b'))



df = df.sort_values(['Month']).reset_index(drop=True)

df1 = pd.concat([data.append(data.iloc[0]) for name,data in df.groupby('Name')])

df1.loc[df1.duplicated(keep='last'),1:] = ''

df1['Name'] = np.where(df1['Month'].ne(''),df1['Month'],df1['Name'])

final = df1.drop('Month',1)

---

   Name ID Shift
0   Jon         
3   Jan  1     A
4   Feb  1     A
5   Feb  1     C
6   Mar  1     C
0   Jan  1     B
1  Mike         
2   Jan  1     B
1   Jan  1     A