Cannot get groupby records based on their minimum value using pandas in python

Question

I have the following csv

id;price;editor
k1;10,00;ed1
k1;8,00;ed2
k3;10,00;ed1
k3;11,00;ed2
k2;10,50;ed1
k1;9,50;ed3

If I do the following

Answer 1

Much like @Wen-Ben I choose to use sort_values and drop_duplicates, however, I converted the values using pd.read_csv with the decimal parameter.

from io import StringIO

csvfile = StringIO("""id;price;editor
k1;10,00;ed1
k1;8,00;ed2
k3;10,00;ed1
k3;11,00;ed2
k2;10,50;ed1
k1;9,50;ed3""")

df = pd.read_csv(csvfile, delimiter =';', decimal=',')

df.sort_values(['id','price']).drop_duplicates(['id']) 

Output:

   id  price editor
1  k1    8.0    ed2
4  k2   10.5    ed1
2  k3   10.0    ed1