Output in Pandas as a Series

Question

Hi everyone!
Here's a task:
You are given a DataFrame that includes the names and ranks of people.
You need to take a rank as input and output the corresponding name column from the DataFrame as a Series.

My code:

import pandas as pd

data = {
'name': ['James', 'Billy', 'Bob', 'Amy', 'Tom', 'Harry'],
'rank': [4, 1, 3, 5, 2, 6]
}

df = pd.DataFrame(data, index=data['name'])

x = int(input())
res = df.loc[df['rank'] == x]
ser = res.iloc[0]
print(ser)

My output:
name Bob
rank 3
Name: Bob, dtype: object

Expected output:
Bob Bob
Name: name, dtype: object

How it might be improved?
How to get Bob_Bob?))

Answer 1

Actually, I have no clue how to pass this challenge. The expected output is weird.
but the task supposes to be simple, maybe I missed something.
Could somebody give me a prompt?

The second variant of a code >>>
x = int(input())
res = df.loc[df['rank'] == x]
print(res.iloc[[0], [0]])

gives us>>>
input: 3
output:
name
Bob Bob))

Answer 2

Guess what?

a = int(input())
b = df.loc[df['rank'] == a]
print(b['name'])

For goodness sake