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]) |
chevron_right
filter_none
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]) |
chevron_right
filter_none
Output :
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.
Article Contributed By :
Vote for difficulty
Article Tags :
