how to concatenate same row names in same column on python dataframe

I have a simple dataframe like this:

df = pd.DataFrame({'class':['a','b','c','d','e'],
                  'name':['Adi','leon','adi','leo','andy'],
                  'age':['9','8','9','9','8'],
                   'score':['40','90','35','95','85']})

then the result is like this

 class  name   age  score
    a   Adi     9   40
    b   leon    8   90
    a   adi     9   35
    d   leo     9   95
    e   andy    8   85

how can I combine the row named ‘Adi’ with ‘adi’ in the same column while he is only one person and the score ‘Adi’ is 75, not 40 and 35

>Solution :

You could use pandas.DataFrame.groupby and pandas.DataFrame.aggregate after first making the name column lowercase:

import pandas as pd

df = pd.DataFrame({
    'class': ['a', 'b', 'c', 'd', 'e'],
    'name': ['Adi', 'leon', 'adi', 'leo', 'andy'],
    'age': ['9', '8', '9', '9', '8'],
    'score': ['40', '90', '35', '95', '85']
})
df['name'] = df['name'].str.lower()
df['score'] = df['score'].astype(int)
aggregate_funcs = {
    'class': lambda s: ', '.join(set(s)),
    'age': lambda s: ', '.join(set(s)),
    'score': sum
}
df = df.groupby(df['name']).aggregate(aggregate_funcs)
print(df)

Output:

     class age  score
name                 
adi   c, a   9     75
andy     e   8     85
leo      d   9     95
leon     b   8     90