Sai A
Updated date Feb 27, 2024
In this blog, we will learn how to convert NumPy arrays to lists in Python. This blog explores multiple methods to achieve this conversion with step-by-step explanations and examples.

## Introduction:

NumPy is a powerful library in Python for numerical computations, offering support for large, multi-dimensional arrays and matrices. However, there are times when you may need to work with standard Python lists instead of NumPy arrays. Converting between the two data structures is a common task in data manipulation and analysis workflows. In this blog, we will explore various methods to convert NumPy arrays to lists in Python.

## Method 1: Using the tolist() method

To convert a NumPy array to a list is by using the `tolist()` method provided by NumPy arrays. This method converts the array into a Python list, preserving the array's shape and elements.

``````import numpy as np

# Create a NumPy array
numpy_array = np.array([1, 2, 3, 4, 5])

# Convert the NumPy array to a list
list_from_array = numpy_array.tolist()

# Output the converted list
print("Converted List:", list_from_array)
``````

### Output:

``````Converted List: [1, 2, 3, 4, 5]
``````
• In this method, we first create a NumPy array using the `np.array()` function.
• Then, we call the `tolist()` method on the NumPy array to convert it into a Python list.
• Finally, we print the converted list to verify the conversion.

## Method 2: Using the numpy.ndarray.tolist() function

Another way to convert a NumPy array to a list is by directly using the `numpy.ndarray.tolist()` function. This function behaves similarly to the `tolist()` method but can be called directly on the NumPy array object.

``````import numpy as np

# Create a NumPy array
numpy_array = np.array([6, 7, 8, 9, 10])

# Convert the NumPy array to a list using ndarray.tolist()
list_from_array = np.ndarray.tolist(numpy_array)

# Output the converted list
print("Converted List:", list_from_array)
``````

### Output:

``````Converted List: [6, 7, 8, 9, 10]
``````
• Here, we create a NumPy array using `np.array()`.
• We then use `np.ndarray.tolist()` function, passing the NumPy array as an argument, to directly convert it into a Python list.
• Finally, we print the converted list to confirm the conversion.

## Method 3: Using list comprehension

List comprehension offers a concise and efficient way to convert each element of a NumPy array into a list. By iterating over the array's elements, we can construct a new list containing the same elements.

``````import numpy as np

# Create a NumPy array
numpy_array = np.array([11, 12, 13, 14, 15])

# Convert the NumPy array to a list using list comprehension
list_from_array = [element for element in numpy_array]

# Output the converted list
print("Converted List:", list_from_array)
``````

### Output:

``````Converted List: [11, 12, 13, 14, 15]
``````
• In this method, we utilize list comprehension to iterate over each element in the NumPy array.
• For each element, we add it to the new list.
• Finally, we print the converted list to verify the conversion.

## Conclusion:

In this blog, we explored multiple methods to convert NumPy arrays to lists in Python. Whether you prefer using built-in methods like `tolist()` or `numpy.ndarray.tolist()`, or opt for list comprehension for more flexibility, Python offers various approaches to suit your needs.

## Comments (0)

There are no comments. Be the first to comment!!!