You can use the following basic syntax to convert a NumPy array to a list in Python:

my_list = my_array.tolist()

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

**Example 1: Convert 1-Dimensional Array to List**

The following code shows how to convert a 1-dimensional NumPy array to a list in Python:

import numpy as np #create NumPy array my_array = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) #convert NumPy array to list my_list = my_array.tolist() #view list print(my_list) [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] #view object type type(my_list) list

**Example 2: Convert Multi-Dimensional Array to List**

The following code shows how to convert a multi-dimensional NumPy array to a list in Python:

import numpy as np #create NumPy array my_array = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]) #convert NumPy array to list my_list = my_array.tolist() #view list print(my_list) [[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]] #view object type type(my_list) list

**Example 3: Convert Multi-Dimensional Array to Flattened List**

The following code shows how to convert a multi-dimensional NumPy array to a flattened list in Python:

import numpy as np #create NumPy array my_array = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]) #convert NumPy array to flattened list my_list = my_array.flatten().tolist() #view list print(my_list) [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] #view object type type(my_list) list

**Additional Resources**

The following tutorials explain how to perform other common conversions in Python:

How to Convert List to NumPy Array

How to Convert Pandas Series to NumPy Array

Convert Pandas DataFrame to NumPy Array