Indexing with .loc in Pandas DataFrame

Last update on September 06 2025 12:48:37 (UTC/GMT +8 hours)

7. Indexing with .loc

Write a Pandas program that uses .loc for indexing.

Sample Solution :

Python Code :

import pandas as pd

# Create a DataFrame
df = pd.DataFrame({
    'X': [1, 6, 8, 3, 7],
    'Y': [5, 2, 9, 4, 1]
})

# Indexing using .loc
result = df.loc[1]
print(result)

Output:

X    6
Y    2
Name: 1, dtype: int64

Explanation:

Import pandas library.
Create a DataFrame.
Index the DataFrame using .loc.
Print the results.

For more Practice: Solve these Related Problems:

Write a Pandas program to use .loc to select rows based on label conditions from a DataFrame.
Write a Pandas program to extract a subset of rows and columns using .loc with both label slicing and conditional filtering.
Write a Pandas program to use .loc to select rows where the index label falls within a specified range.
Write a Pandas program to update specific cell values in a DataFrame using .loc and then verify the changes.

Go to:

PREV : Reset Index of a MultiIndex DataFrame.
NEXT : Boolean Indexing: Column 'x' > 6.

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.