How to get specific row in Pandas DataFrame using index?

Pandas DataFrame – Get Specific Row using Index

To get the specific row of Pandas DataFrame using index, use DataFrame.iloc property and give the index of row in square brackets.

DataFrame.iloc[row_index]

DataFrame.iloc returns the row as Series object.

Examples

1. Get specific row in DataFrame

In this example, we will

• Initialize a DataFrame with some numbers.
• Get the specific row (index = 1) using DataFrame.iloc property.

import pandas as pd
import numpy as np

df = pd.DataFrame(
	[['a', 'b', 'c'],
	['d', 'e', 'f'],
	['g', 'h', 'i'],
	['j', 'k', 'l']])

row = df.iloc[1] #index=1 => second row
print(row)

Output

0    d
1    e
2    f
Name: 1, dtype: object

In the output: 0, 1 and 2 is the column index; and d, e, f is the row.

Summary

In this tutorial of Python Examples, we learned how to get a specific row from Pandas DataFrame using DataFrame.iloc property.