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Get a specific row in a given Pandas DataFrame
  • Last Updated : 20 Aug, 2020

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 :

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