In this Python NumPy tutorial, we will discuss **how to convert numpy array to list in Python.**

**There are multiple methods to convert numpy array to a list in Python, which is shown below:**

- Using tolist() function
- Using list() constructor
- Using a list comprehension
- Using the append() method

## Convert NumPy Array to List in Python

There are several ways to **convert a NumPy array to a Python list**, including using the tolist() method, the list() constructor, a list comprehension, or the append() method.

Each method has its own advantages and disadvantages, and the choice of method depends on the specific requirements of your application.

### Method-1: Convert NumPy Array to List using tolist() function

The **tolist()** method is a built-in method of NumPy arrays that converts a NumPy array to a Python list. This method is very straightforward and efficient and is probably the most common way to convert a NumPy array to a list.

```
# Import the numpy module
import numpy as np
# Create a one-dimensional numpy array
arr1= np.array([2, 4, 5])
# Convert the numpy array to a python list using the tolist() method
list1 = arr1.tolist()
# Print the resulting python list
print(list1)
```

The above code first imports the NumPy library with the alias **np**.

- It then creates a one-dimensional NumPy array
**arr1**containing the values 2, 4, and 5. The**tolist()**method is then used to convert the NumPy array**arr1**to a python list**list1**. - Finally, the python list
**list1**is printed to the console using the**print()**statement.

### Method-2: Convert NumPy Array to List using list() constructor

This method uses the built-in list() constructor in Python to convert a NumPy array to a Python list. The list() constructor takes any iterable object as input and returns a new list object containing all the elements of the iterable.

```
import numpy as np
# Create a NumPy array
arr = np.array(['USA', 'United Kingdom', 'Canada'])
# Convert the NumPy array to a Python list using the list() constructor
lst = list(arr)
# Print the list
print(lst)
```

The above code creates a NumPy array containing three string values.

- It then converts the NumPy array to a Python list using the
**list()**constructor. Finally, it prints the list. This code demonstrates how to convert a NumPy array to a Python list.

`Output: ['USA', 'United Kingdom', 'Canada']`

### Method-3: Convert NumPy Array to List using a list comprehension in Python

This method uses a list comprehension to iterate over the elements of the NumPy array and append them to a new list. A list comprehension is a compact way of creating a new list by iterating over an existing iterable object. This method is simple and efficient.

```
import numpy as np
# Create a NumPy array
arr = np.array(['USA', 'United Kingdom', 'Canada'])
# Convert the NumPy array to a Python list using a list comprehension
lst_ = [x for x in arr]
# Print the list
print(lst_)
```

The above code demonstrates how to convert a NumPy array to a Python list using a list comprehension.

- First, a NumPy array is created using the
**np.array()**function, which takes a Python list as an argument. The NumPy array contains three string values: ‘USA’, ‘United Kingdom’, and ‘Canada’. - Next, a list comprehension is used to iterate over each element in the NumPy array and append it to a new Python list.
- The list comprehension has the syntax
**[expression for item in iterable]**, where**expression**is the operation to be performed on each item,**item**is the current element in the iterable, and**iterable**is the object being iterated over. - In this case, the expression is simply the current item
`x`

, and the iterable is the NumPy array**arr**. - Finally, the resulting Python list is printed to the console using the
**print()**function.

`Output: ['USA', 'United Kingdom', 'Canada']`

### Method-4: Convert NumPy Array to List using the append() method

This method uses a for loop to iterate over the elements of the NumPy array and append them to a new list using the append() method provided by Python. T

- The append() method is a built-in method in Python that allows you to add elements to the end of a list. This method is simple but less efficient compared to the other methods.

```
import numpy as np
# Create a NumPy array
arr = np.array(['USA', 'United Kingdom', 'Canada'])
# Convert the NumPy array to a Python list using the append() method
lst = []
for x in arr:
lst.append(x)
# Print the list
print(lst)
```

The above code demonstrates how to convert a NumPy array to a Python list using a for loop and the **append()** method.

- First, we create a NumPy array called
**arr**containing the country names ‘USA’, ‘United Kingdom’, and ‘Canada’. - Next, we create an empty list called
**lst**. We then use a for loop to iterate over each element in**arr**. On each iteration, we append the current element to the**lst**using the**append()**method. - Finally, we print the resulting list
**lst**which should contain the same elements as the original NumPy array**arr**.

```
Output: ['USA', 'United Kingdom', 'Canada']
```

In this tutorial, we have covered **how to convert numpy array to list in Python** using the following methods:

- Convert NumPy Array to List using tolist() function
- Convert NumPy Array to List using list() constructor
- Convert NumPy Array to List using a list comprehension
- Convert NumPy Array to List using the append() method

You may like the following tutorials:

- Python NumPy Median() Function
- Numpy Divide in Python
- Python Copy NumPy Array
- Python NumPy genfromtxt()

I am Bijay Kumar, a Microsoft MVP in SharePoint. Apart from SharePoint, I started working on Python, Machine learning, and artificial intelligence for the last 5 years. During this time I got expertise in various Python libraries also like Tkinter, Pandas, NumPy, Turtle, Django, Matplotlib, Tensorflow, Scipy, Scikit-Learn, etcâ€¦ for various clients in the United States, Canada, the United Kingdom, Australia, New Zealand, etc. Check out my profile.