Selecting rows by position in Pandas DataFrame

Last update on April 09 2025 12:51:14 (UTC/GMT +8 hours)

9. Select First Three Rows Using iloc

Write a Pandas program to select the first three rows using iloc.

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]
})

# Select first three rows using iloc
result = df.iloc[:4]
print(result)

Output:

   X  Y
0  1  5
1  6  2
2  8  9
3  3  4

Explanation:

• Import pandas library.
• Create a DataFrame.
• Use .iloc to select the first three rows.
• Print the results.

For more Practice: Solve these Related Problems:

• Write a Pandas program to select and display the first three rows of a DataFrame using iloc indexing.
• Write a Pandas program to use iloc to extract the first three rows and then reset the DataFrame index.
• Write a Pandas program to slice the first three rows of a DataFrame with iloc and then compute the sum of a specific column.
• Write a Pandas program to select the top three rows using iloc and then convert the result into a new DataFrame.

Python-Pandas Code Editor:

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