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In the event that you are involving Rundown as an exhibit, you can utilize its attach(), embed(), and broaden() capabilities. You can peruse more about it at Python add to Rundown.
Records or affix(),
Expand(),
Embed().
Notwithstanding, We can utilize two strategies to do an undertaking here. Those are:
Cluster Module,
NumPy Cluster Module.
Python Add Item to Array using lists or append()
my_input = ['English', 'Hindi']
my_input.append('Tamil')
print(my_input)
Output
This is the output.
['English', 'Hindi', 'Tamil']
Python Add Item to Array using extend() function
Underneath, We need to utilize the expand() capability to execute an errand here.
my_input = ['English', 'Hindi']
input1 = [50, 40, 30, 20, 10]
my_input.extend(input1)
print(my_input)
Output
This is the output.
['English', 'Hindi', 50, 40, 30, 20, 10]
Python Add Item to Array using insert() function
my_input = [1, 2, 3, 4, 5]
print(f'Current Numbers List {my_input}')
number = int(input("Please enter a number to be added:\n"))
index = int(input(f'Enter the index between 0 and {len(my_input) - 1} to add the given number:\n'))
my_input.insert(index, number)
print(f'Updated List {my_input}')
Output
This is the output.
Current Numbers List [1, 2, 3, 4, 5]
Please enter the number to be added:
10
Enter the index between 0 and 4 to add the given number:
2
Updated List [1, 2, 10, 3, 4, 5]
Process finished with exit code 0
Python Add Item to Array Using Array Module
We can utilize the cluster module to add components to the exhibit in the beneath program.
import array
s1 = array.array('i', [1, 2, 3])
s2 = array.array('i', [4, 5, 6])
print(s1)
print(s2)
s3 = s1 + s2
print(s3)
s1.append(4)
print(s1)
s1.insert(0, 10)
print(s1)
s1.extend(s2)
print(s1)
Output
This is a model result for your reference.
array('i', [1, 2, 3])
array('i', [4, 5, 6])
array('i', [1, 2, 3, 4, 5, 6])
array('i', [1, 2, 3, 4])
array('i', [10, 1, 2, 3, 4])
array('i', [10, 1, 2, 3, 4, 4, 5, 6])
Python Add Item to Array Using NumPy Array
import numpy
# insert function
arr1_insert = numpy.array([1, 24, 34])
arr2_insert = numpy.insert(arr1_insert, 1, 81)
print(arr2_insert)
# append function
arr1_append = numpy.array([8, 4, 2])
arr2_append = numpy.append (arr1_append, [15, 16, 17])
print(arr2_append)
Output
The output will be given below:
[ 1 81 24 34]
[ 8 4 2 15 16 17]
Final Thoughts
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