You can select the rows of a DataFrame one of two ways. One way is with df.iloc[...]. df.iloc[...] selects rows based on their position in the DataFrame. To select a single row, you can do df.iloc[position], for example, df.loc[1] selects the row with Esha below. To select multiple rows, you can do df.iloc[[position1, position2]], for example, df.loc[[0, 2]].

Suppose you constructed a DataFrame by

import pandas as pd

df = pd.DataFrame({'name': ['Jeff', 'Esha', 'Jia'], 
                   'age': [30, 56, 8]},
                   index=[132, 156, 27])

Where the index value is the person id in a database.

Giving you the DataFrame

Complete the function, select_first_row(df), by having it return the first row in the DataFrame.

Example Input

Code to generate input

df = pd.DataFrame({'name': ['Jeff', 'Esha', 'Jia'], 
                   'age': [30, 56, 8]},
                  index=[132, 156, 27])

Table generated

Example Output