How do I know a row label of a series of pandas dataframe?

Question

A CSV file is given. I am supposed to print the name of the row label of a row of the data frame as a string output. How do I do that?

import pandas as pd
df= pd.read_csv('olympics.csv', index_col=0, skiprows=1)
s= df.loc[df['Gold'].idxmax()]
return s.index

Here 'Gold' is a random column index name. I have been trying by this code. But it only prints column indices. But I need to print the row index output as a string.

Answer 1

df = pd.DataFrame({'id':['1','2','3','4','5','6','7','8'], 
                     'A':['foo','bar','foo','bar','foo','bar','foo','foo'],  
                     'C':[10, 10, 10, 30, 50, 60, 50,  8], 
                     'D':[9, 8, 7, 6, 5, 4, 3, 2]},
                    index = list('abcdefgh'))

idxmax() returns the row index,

>>> df['C'].idxmax()
'f'

Selecting that row produces a Series whose name is the index of that row.

>>> df.loc[df['C'].idxmax()]
id      6
A     bar
C      60
D       4
Name: f, dtype: object

>>> df.loc[df['C'].idxmax()].name
'f'