Slicing DataFrame with .loc in Pandas

Last update on December 21 2024 07:42:54 (UTC/GMT +8 hours)

Pandas: Advanced Indexing and Slicing Exercise-12 with Solution

Slicing with loc:

Write a Pandas program that uses .loc to slice DataFrame based on row and column labels.

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],
    'Z': [7, 8, 9, 1, 2]
})

# Slice DataFrame using .loc
result = df.loc[1:3, ['X', 'Z']]
print(result)

Output:

   X  Z
1  6  8
2  8  9
3  3  1

Explanation:

• Import pandas library.
• Create a DataFrame.
• Use .loc to slice rows from index 1 to 3 and select columns 'X' and 'Z'.
• Print the results.

Python-Pandas Code Editor:

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