Get a specific row in a given Pandas DataFrame

In the Pandas DataFrame  we can find the specified row value with the using function iloc(). In this function we pass the row number as parameter.

pandas.DataFrame.iloc[]

Syntax : pandas.DataFrame.iloc[]
Parameters :

• Index Position : Index position of rows in integer or list of integer.

Return type : Data frame or Series depending on parameters

Example 1 :

# importing the module
import pandas as pd

# creating a DataFrame
data = {'1' : ['g', 'e', 'e'],
        '2' : ['k', 's', 'f'],
        '3' : ['o', 'r', 'g'],
        '4' : ['e', 'e', 'k']}
df = pd.DataFrame(data)
print("Original DataFrame")
display(df)

print("Value of row 1")
display(df.iloc[1])

Output :

Example 2:

# importing the module
import pandas as pd

# creating a DataFrame
data = {'Name' : ['Simon', 'Marsh', 'Gaurav',
                 'Alex', 'Selena'],
        'Maths' : [8, 5, 6, 9, 7],
        'Science' : [7, 9, 5, 4, 7],
        'English' : [7, 4, 7, 6, 8]}
df = pd.DataFrame(data)
print("Original DataFrame")
display(df)

print("Value of row 3 (Alex)")
display(df.iloc[3])

Output :