You can use the following methods to convert specific columns in a pandas DataFrame to a NumPy array:

**Method 1: Convert One Column to NumPy Array**

column_to_numpy = df['col1'].to_numpy()

**Method 2: Convert Multiple Columns to NumPy Array**

columns_to_numpy = df[['col1', 'col3', 'col4']].to_numpy()

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({'team': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'], 'points': [18, 22, 19, 14, 14, 11, 20, 28], 'assists': [5, 7, 7, 9, 12, 9, 9, 4], 'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]}) #view DataFrame print(df) team points assists rebounds 0 A 18 5 11 1 B 22 7 8 2 C 19 7 10 3 D 14 9 6 4 E 14 12 6 5 F 11 9 5 6 G 20 9 9 7 H 28 4 12

**Example 1: Convert One Column to NumPy Array**

The following code shows how to convert the **points** column in the DataFrame to a NumPy array:

**#convert points column to NumPy array
column_to_numpy = df['points'].to_numpy()
#view result
print(column_to_numpy)
[18 22 19 14 14 11 20 28]
**

We can confirm that the result is indeed a NumPy array by using the **type()** function:

**#view data type
print(type(column_to_numpy))
<class 'numpy.ndarray'>
**

**Example 2: Convert Multiple Columns to NumPy Array**

The following code shows how to convert the **team **and **assists** columns in the DataFrame to a multidimensional NumPy array:

**#convert team and assists columns to NumPy array
columns_to_numpy = df[['team', 'assists']].to_numpy()
#view result
print(columns_to_numpy)
[['A' 5]
['B' 7]
['C' 7]
['D' 9]
['E' 12]
['F' 9]
['G' 9]
['H' 4]]
**

We can confirm that the result is indeed a NumPy array by using the **type()** function:

**#view data type
print(type(columns_to_numpy))
<class 'numpy.ndarray'>
**

We can also use the **shape** function to view the shape of the resulting NumPy array:

**#view shape of array
print(columns_to_numpy.shape)
(8, 2)
**

We can see that the resulting NumPy array has 8 rows and 2 columns.

**Additional Resources**

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

How to Remove Specific Elements from NumPy Array

How to Replace Elements in NumPy Array

How to Get Specific Row from NumPy Array