# Convert a NumPy Array to a List in Python

You can use tolist() in order to convert a NumPy array to a list in Python:

`my_list = my_array.tolist()`

Below are the steps to convert a NumPy array to a list (as well as to a list of lists) using practical examples.

## Steps to Convert a NumPy Array to a List in Python

### Step 1: Create a NumPy array

`import numpy as npmy_array = np.array([11, 22, 33, 44, 55, 66])print(my_array)print(type(my_array))`

Run the code in Python, and you’ll get the following NumPy array:

``````[11 22 33 44 55 66]
<class 'numpy.ndarray'>``````

Note that print(type(my_array)) was added at the bottom of the code in order to demonstrate that you got a NumPy array.

### Step 2: Convert the NumPy array to a List

You may use tolist() to convert the NumPy array to a list in Python:

`my_list = my_array.tolist()`

For our example:

`import numpy as npmy_array = np.array([11, 22, 33, 44, 55, 66])my_list = my_array.tolist()print(my_list)print(type(my_list))`

As you can see, the NumPy array was converted to a list:

``````[11, 22, 33, 44, 55, 66]
<class 'list'>``````

## Convert a NumPy Array to a List of Lists

In this section, you’ll see how to convert a two-dimensional array to a list of lists.

To begin, create the two-dimensional NumPy array:

`import numpy as npmy_array = np.array([[11, 22, 33], [44, 55, 66]])print(my_array)print(type(my_array))print("Number of array dimensions: " + str(my_array.ndim))`

Here is the array that you’ll get:

``````[[11 22 33]
[44 55 66]]
<class 'numpy.ndarray'>
Number of array dimensions: 2``````

You can then use tolist() to convert the array to a list of lists:

`import numpy as npmy_array = np.array([[11, 22, 33], [44, 55, 66]])my_list = my_array.tolist()print(my_list)print(type(my_list))`

Once you run the code, you’ll get the following result:

``````[[11, 22, 33], [44, 55, 66]]
<class 'list'>``````