You can use the following syntax to convert a pandas Series to a NumPy array:

seriesName.to_numpy()

The following examples show how to use this syntax in practice.

**Example 1: Convert Series to NumPy Array**

The following code shows how to convert a pandas Series to a NumPy array:

import pandas as pd import numpy as np #define series x = pd.Series([1, 2, 5, 6, 9, 12, 15]) #convert series to NumPy array new_array = x.to_numpy() #view NumPy array new_array array([ 1, 2, 5, 6, 9, 12, 15]) #confirm data type type(new_array) numpy.ndarray

Using the **type()** function, we confirm that the pandas Series has indeed been converted to a NumPy array.

**Example 2: Convert DataFrame Column to NumPy Array**

The following code shows how to convert a column in a pandas DataFrame to a NumPy array:

import pandas as pd import numpy as np #define 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]}) #convert 'points' column to NumPy array new_array = df['points'].to_numpy() #view NumPy array new_array array([25, 12, 15, 14, 19, 23, 25, 29]) #confirm data type type(new_array) numpy.ndarray

We can use **dtype()** to check the data type of the new NumPy array as well:

#check data type new_array.dtype dtype('int64')

We can see that the new NumPy array is an integer.

**Additional Resources**

How to Convert Pandas DataFrame to NumPy Array

How to Convert Pandas DataFrame to List

How to Convert a Dictionary to Pandas DataFrame