Table of Contents
Adding elements to a NumPy array is a straightforward process that involves utilizing built-in functions and methods. First, you need to initialize a NumPy array using the np.array() function, which takes in a list or tuple of elements as its argument. Once the array is created, you can use the np.append() function to add new elements at the end of the array. Alternatively, you can use the np.insert() function to insert elements at a specific index position. Both these functions return a new array, leaving the original array unchanged. Additionally, you can also use the += operator to add elements to an existing array. Overall, NumPy provides various methods and functions to efficiently add elements to a NumPy array.
Add Elements to NumPy Array (3 Examples)
You can use the following methods to add one or more elements to a NumPy array:
Method 1: Append One Value to End of Array
#append one value to end of array
new_array = np.append(my_array, 15)Method 2: Append Multiple Values to End of Array
#append multiple values to end of array
new_array = np.append(my_array, [15, 17, 18])Method 3: Insert One Value at Specific Position in Array
#insert 95 into the index position 2 new_array = np.insert(my_array, 2, 95)
Method 4: Insert Multiple Values at Specific Position in Array
#insert 95 and 99 starting at index position 2 of the NumPy array new_array = np.insert(my_array, 2, [95, 99])
This tutorial explains how to use each method in practice with the following NumPy array:
import numpy as np
#create NumPy array
my_array = np.array([1, 2, 2, 3, 5, 6, 7, 10])
#view NumPy array
my_array
array([ 1, 2, 2, 3, 5, 6, 7, 10])
Example 1: Append One Value to End of Array
The following code shows how to use np.append() to append one value to the end of the NumPy array:
#append one value to end of array
new_array = np.append(my_array, 15)
#view new array
new_array
array([ 1, 2, 2, 3, 5, 6, 7, 10, 15])
The value 15 has been added to the end of the NumPy array.
Example 2: Append Multiple Values to End of Array
The following code shows how to use np.append() to append multiple values to the end of the NumPy array:
#append multiple values to end of array
new_array = np.append(my_array, [15, 17, 18])
#view new array
new_array
array([ 1, 2, 2, 3, 5, 6, 7, 10, 15, 17, 18])
The values 15, 17, and 18 have been added to the end of the NumPy array.
Example 3: Insert One Value at Specific Position in Array
The following code shows how to insert one value into a specific position in the NumPy array:
#insert 95 into the index position 2 new_array = np.insert(my_array, 2, 95) #view new array new_array array([ 1, 2, 95, 2, 3, 5, 6, 7, 10])
The value 95 has been inserted into index position 2 of the NumPy array.
Example 4: Insert Multiple Values at Specific Position in Array
The following code shows how to insert multiple values starting at a specific position in the NumPy array:
#insert 95 and 99 starting at index position 2 of the NumPy array new_array = np.insert(my_array, 2, [95, 99]) #view new array new_array array([ 1, 2, 95, 99, 2, 3, 5, 6, 7, 10])
The values 95 and 99 have been inserted starting at index position 2 of the NumPy array.
Additional Resources
The following tutorials explain how to perform other common tasks in NumPy:
Cite this article
stats writer (2024). How do you add elements to a NumPy array?. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/stats/how-do-you-add-elements-to-a-numpy-array/
stats writer. "How do you add elements to a NumPy array?." PSYCHOLOGICAL SCALES, 28 Jun. 2024, https://scales.arabpsychology.com/stats/how-do-you-add-elements-to-a-numpy-array/.
stats writer. "How do you add elements to a NumPy array?." PSYCHOLOGICAL SCALES, 2024. https://scales.arabpsychology.com/stats/how-do-you-add-elements-to-a-numpy-array/.
stats writer (2024) 'How do you add elements to a NumPy array?', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/stats/how-do-you-add-elements-to-a-numpy-array/.
[1] stats writer, "How do you add elements to a NumPy array?," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, June, 2024.
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