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

df.head(1)

You can use the following syntax to get the first row of values for specific columns in a pandas DataFrame:

df[['column1', 'column2']].head(1)

And you can use the following syntax to get the first row of a pandas DataFrame based on certain criteria:

df[(df.column1 < value) & (df.column2 > value)].head(1)

The following examples show how to use this syntax 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.head(1) points assists rebounds 0 25 5 11

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

The following code shows how to get the first column of a pandas DataFrame and return a DataFrame as a result:

#get first row of values for points and rebounds columns df[['points', 'rebounds']].head(1) points rebounds 0 25 11

**Example 3: Get First Row of Pandas DataFrame Based on Criteria**

The following code shows how to get the first row of a pandas DataFrame that meets certain criteria:

#get first row where points < 20 and assists > 10 df[(df.points < 20) & (df.assists > 10)].head(1) points assists rebounds 4 19 12 6

**Additional Resources**

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