You can use the following methods to get the first row of a pandas DataFrame:

**Method 1: Get First Row of DataFrame**

df.iloc[0]

**Method 2: Get First Row of DataFrame for Specific Columns**

df[['column1', 'column2']].iloc[0]

The following examples show how to use each method in practice with the following pandas DataFrame:

import pandas as pd #create DataFrame df = pd.DataFrame({'points': [25, 12, 15, 14, 19, 23, 25, 29], 'assists': [5, 7, 7, 9, 12, 9, 9, 4], 'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]}) #view DataFrame df points assists rebounds 0 25 5 11 1 12 7 8 2 15 7 10 3 14 9 6 4 19 12 6 5 23 9 5 6 25 9 9 7 29 4 12

**Example 1: Get First Row of Pandas DataFrame**

The following code shows how to get the first row of a pandas DataFrame:

#get first row of DataFrame df.iloc[0] points 25 assists 5 rebounds 11 Name: 0, dtype: int64

Notice that the values in the first row for each column of the DataFrame are returned.

**Example 2: Get First Row of Pandas DataFrame for Specific Columns**

The following code shows how to get the values in the first row of the pandas DataFrame for only the **points** and **rebounds** columns:

#get first row of values for points and rebounds columns df[['points', 'rebounds']].iloc[0] points 25 rebounds 11 Name: 0, dtype: int64

Notice that the values in the first row for the **points** and **rebounds** columns are returned.

**Additional Resources**

The following tutorials explain how to perform other common tasks in pandas:

How to Get First Column of Pandas DataFrame

How to Add Rows to a Pandas DataFrame

How to Count Number of Rows in Pandas DataFrame