In this article we will learn how to add an element to the end of NumPy Array in Python.

Given a NumPy array we need to add an element to the end of NumPy Array i.e. add an element at the last index of
the array.

Example:             

Given array = [ 1, 3, 5, 8, 9 ]
After adding 10 to the end of NumPy Array = [ 1, 3, 5, 8, 9, 10 ]
    

There are multiple ways to add an element to the end of NumPy Array. Lets discuss all the methods one by one with proper approach and a working code example,

1. Using insert() method to add an element to the end of NumPy Array

Numpy module in python, provides a function numpy.insert() to insert values along the given axis and before the given index. The insert() method will take array, index and a value to be inserted as parameters. It will insert the given value just before the specified index and returns the array. Now, to add a element at the end of numpy array we need to pass the array, the length of array as index position and value to the insert() method i.e. insert( arr, len(arr) , 6).

Syntax of insert()

numpy.insert(arr, obj, values, axis=None)

Parameters:

arr          = The array to be passed to the function.
obj          = index at which value needs to be inserted
values       = Values to be inserted into array.
axis         = int, optional, Axis along which to insert values.

Return:

Returns array with value inserted at specified index.

Approach

1. Import numpy library and create numpy array
2. Now pass the array, value to be inserted and index as the length of the array to the insert() method
3. That’s it , the element will be added at specified index i.e. end of the array
4. Print the array.

Source code

import numpy as np

# create numpy array
arr = np.array([1,2,3,4,5])

# printing the original array
print(" The original array is = ", arr)

#adding an element at end of array using insert() method
arr = np.insert(arr,len(arr) , 6)

# printing the new array
print(" The new array is = ", arr)

OUTPUT:

 The original array is =  [1 2 3 4 5]
 The new array is =  [1 2 3 4 5 6]

2. Using append() method to add an element to the end of NumPy Array

Numpy module in python, provides a function numpy.append() to append values to the end of an array. The insert method will take array, value to be appended as parameters. It will append the given value at the end of the array and returns the array.

Syntax of append()

numpy.append(arr, values, axis=None)

Parameters:

arr          = The array to be passed to the function.
values       = Values to appended to array.
axis         = int, optional, Axis along which to append values.

Return:

Returns array with values appended at end.    

Approach

1. import numpy library and create numpy array
2. Now pass the array, value to be appended to the array to the append() method.
3. That’s it. The element will be appended at the end of array
4. Print the array

Source code

import numpy as np

# create numpy array
arr = np.array([1,2,3,4,5])

# printing the original array
print(" The original array is = ", arr)

#appending an element at end of array using append() method
arr = np.append(arr,6)

# printing the new array
print(" The new array is = ", arr)

OUTPUT:

 The original array is =  [1 2 3 4 5]
 The new array is =  [1 2 3 4 5 6]

3. Using concatenate() method to add an element to the end of NumPy Array

Numpy module in python, provides a function numpy.concatenate() to join a sequence of arrays along an existing axis. The concatenate() method will take sequence of arrays as parameters. It concatenates the arrays into one single array and returns the array.

Now to append a element at end of an array, create a sequence of array and add element to sequence. Then concatenate both the arrays.

Example

concatenate(( [1,2,3,4,5] , [6] )) ==> [1,2,3,4,5,6]

Syntax of concatenate()

numpy.concatenate((a1, a2, ...), axis=0)

Parameters:

(a1, a2, ...) = sequence of arrays to be passed to the function.
axis          = int, optional, Axis along which to concatenate arrays.

Return:

Returns a concatenated array.   

Approach

1. import numpy library and create numpy array
2. Now pass the array, value to be added as sequence of array to the concatenate() method
3. That’s it. The element will be appended at the end of array
4. Print the array

Source code

import numpy as np

# create numpy array
arr = np.array([1,2,3,4,5])

# printing the original array
print(" The Original array is = ", arr)

#adding an element at end of array using concatenate() method
arr = np.concatenate((arr,[6]))

# printing the new array
print(" The new array is = ", arr)

    

OUTPUT:

 The Original array is =  [1 2 3 4 5]
 The new array is =  [1 2 3 4 5 6]

4. Using hstack() method to add an element to the end of NumPy Array

Numpy module in python, provides a function numpy.hstack() and it is used to stack the sequence of input arrays horizontally i.e, concatenating into a single array. The hstack() method will take sequence of arrays as parameters. It will concatenate the arrays into one single array and returns the array. The hstack() is equivalent to concatenation.

Now to append a element at end of an array, create a sequence of array and add element to sequence. Then concatenate both the arrays.

Example

hstack( ([1,2,3,4,5] , [6]) ) ==> [1,2,3,4,5,6]

Syntax of hstack()

numpy.hstack(tuple)

Parameters:

tuple = sequence of arrays to be passed to the function.

Return:

Returns The array formed by stacking the given arrays.    

Approach

1. import numpy library and create numpy array
2. Now pass the array, value to be added as sequence of array to the hstack() method
3. Thats it , The element will be appended at the end of array
4. Print the array

Source code

# importing the numpy library
import numpy as np

# create numpy array
arr = np.array([1,2,3,4,5])

# printing the original array
print(" The original array is = ", arr)

arr = np.hstack((arr, [6]))

# printing the new array
print(" The new array is = ", arr)

OUTPUT:

 The original array is =  [1 2 3 4 5]
 The new array is =  [1 2 3 4 5 6]

Summary

We learned to how to insert elements at the end of a NumPy array in Python.