{"id":36888,"date":"2024-01-24T10:37:29","date_gmt":"2024-01-24T10:37:29","guid":{"rendered":"https:\/\/accuweb.cloud\/resource\/?post_type=faq&p=36888"},"modified":"2026-02-19T09:57:25","modified_gmt":"2026-02-19T09:57:25","slug":"how-to-convert-a-numpy-array-to-list-in-python","status":"publish","type":"faq","link":"https:\/\/accuweb.cloud\/resource\/articles\/how-to-convert-a-numpy-array-to-list-in-python","title":{"rendered":"How To Convert a NumPy Array to List in Python?"},"content":{"rendered":"

How To Convert a NumPy Array to List in Python?<\/h2>\n

In NumPy, you can convert np.array objects to a regular Python<\/a> list using the list () function. This function takes no arguments. If the array is one-dimensional, it returns a list containing the array elements. For multi-dimensional arrays, it returns a nested list.<\/p>\n

Prerequisites<\/strong><\/p>\n

To finish this tutorial, you’ll require:<\/p>\n

You should be familiar with installing Python 3 and using pip to install packages. Additionally, having some experience with coding in Python is necessary for this tutorial.<\/p>\n

Converting one-dimensional NumPy Array to List<\/h2>\n

Let’s create a simple one-dimensional array with the values [‘a’, ‘b’, ‘c’]:<\/p>\n

Example<\/strong><\/p>\n

import numpy as np\r\n# one-dimensional array to list\r\nsimple_arr = np.array(['a', 'b', 'c'])\r\nprint(f'NumPy Array is:\\n{simple_arr}')<\/code><\/pre>\n
Output<\/strong><\/p>\n
NumPy Array is:\r\n['a', 'b', 'c']<\/code><\/pre>\n
Now, let’s utilize the to list() function:<\/p>\n
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Example<\/strong><\/p>\n
import numpy as np\r\n# one-dimensional array to list\r\nsimple_arr = np.array(['a', 'b', 'c'])\r\nprint(f'NumPy Array is:\\n{simple_arr}')\r\nsimple_list = simple_arr.tolist()\r\nprint(f'List is:\\n{simple_list}')<\/code><\/pre>\n
Output<\/strong><\/p>\n
NumPy Array is:\r\n['a' 'b' 'c']\r\nList is:\r\n['a', 'b', 'c']<\/code><\/pre>\n
The array has been transformed from NumPy scalars to Python scalars.<\/p>\n
Converting multi-dimensional NumPy Array to List<\/h2>\n
Let’s create a two-dimensional array with the values [[‘a’,’b’, ‘c’], [‘d’, ‘e’, ‘f’]]:<\/p>\n
Example<\/strong><\/p>\n
import numpy as np\r\n# multi-dimensional array to list\r\nmulti_arr = np.array([['a','b', 'c'], ['d', 'e', 'f']])\r\nprint(f'NumPy Array with multi-dimensional:\\n{multi_arr}')<\/code><\/pre>\n
Output<\/strong><\/p>\n
NumPy Array with multi-dimensional:\r\n[['a' 'b' 'c']\r\n\u00a0['d' 'e' 'f']]<\/code><\/pre>\n
Now, let’s utilize the to list() function:<\/p>\n
Example<\/strong><\/p>\n
import numpy as np\r\n# multi-dimensional array to list\r\nmulti_arr = np.array([['a', 'b' ,'c'],['d' ,'e', 'f']])\r\nprint(f'NumPy Array with multi-dimensional:\\n{multi_arr}')\r\nmulti_list = multi_arr.tolist()\r\nprint(f'\\n List list:\\n{multi_list}')<\/code><\/pre>\n
Output<\/strong><\/p>\n
NumPy Array with multi-dimensional:\r\n[['a' 'b' 'c']\r\n\u00a0['d' 'e' 'f']]\r\n\u00a0List list:\r\n[['a', 'b', 'c'], ['d', 'e', 'f']]<\/code><\/pre>\n
The array has been transformed from NumPy scalars to Python scalars.<\/p>\n
Conclusion<\/h2>\n
In this article, you’ve learned to use tolist()<\/strong> to convert np.array objects to lists. This method applies to both one-dimensional and multi-dimensional arrays. Following this article<\/a>, you can also learn to add elements to a list in Python.<\/p>\n
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