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

Question

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

Answer 1

You could use pandas.DataFrame. and pandas.DataFrame. 和pandas.DataFrame. 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

Answer 2

drop_duplicates() is the best way if you are using pandas

df['name'] = df['name'].str.lower()
df['score'] = df['score'].astype(int)
df['score'] = df['score'].groupby(df['name']).transform(sum)
df.drop_duplicates(subset='name',keep='first',inplace=True)

output:

  class  name age  score
0     a   adi   9     75
1     b  leon   8     90
3     d   leo   9     95
4     e  andy   8     85

you will have this output if you set keep='last' :

  class  name age  score
1     b  leon   8     90
2     c   adi   9     75
3     d   leo   9     95
4     e  andy   8     85