Tuple in Python

Python Tuples

Tuple is a collection of Python objects much like a list. The sequence of values stored in a tuple can be of any type, and they are indexed by integers.
Values of a tuple are syntactically separated by ‘commas’. Although it is not necessary, it is more common to define a tuple by closing the sequence of values in parentheses. This helps in understanding the Python tuples more easily.

And we define them by the use of Parenthesis without use of Parenthesis is called Tuple Packing.

Lets see an Example :

#Creating an empty Tuple

Tuple1 = ()

print("Initial empty Tuple: ")

print (Tuple1)

  

#Creatting a Tuple 

#with the use of string

Tuple1 = ('Code', 'For')

print("\nTuple with the use of String: ")

print(Tuple1)

  

# Creating a Tuple with

# the use of list

list1 = [1, 2, 4, 5, 6]

print("\nTuple using List: ")

print(tuple(list1))

  

#Creating a Tuple 

#with the use of built-in function

Tuple1 = tuple('Code')

print("\nTuple with the use of function: ")

print(Tuple1)




output :




Initial empty Tuple: 
()

Tuple with the use of String: 
('Code', 'For')

Tuple using List: 
(1, 2, 4, 5, 6)

Tuple with the use of function: 
('C', 'o', 'd', 'e')




Lets see how we can create a tuple with mixed data type.




Tuples can contain any number of elements and of any datatype (like strings, integers, list, etc.). Tuples can also be created with a single element, but it is a bit tricky. Having one element in the parentheses is not sufficient, there must be a trailing ‘comma’ to make it a tuple by the definition.




Example




#Creating a Tuple

#with Mixed Datatype

Tuple1 = (4, 'Welcome', 7, 'Code')

print("\nTuple with Mixed Datatypes: ")

print(Tuple1)

  

#Creating a Tuple

#with nested tuples

Tuple1 = (0, 1, 2, 3)

Tuple2 = ('python', 'code')

Tuple3 = (Tuple1, Tuple2)

print("\nTuple with nested tuples: ")

print(Tuple3)

  

#Creating a Tuple

#with repetition

Tuple1 = ('Code',) * 3

print("\nTuple with repetition: ")

print(Tuple1)

  

#Creating a Tuple 

#with the use of loop

Tuple1 = ('Code')

n = 5

print("\nTuple with a loop")

for i in range(int(n)):

    Tuple1 = (Tuple1,)

    print(Tuple1)







output :




Tuple with Mixed Datatypes: 
(4, 'Welcome', 7, 'Geeks')

Tuple with nested tuples: 
((0, 1, 2, 3), ('python', 'code'))

Tuple with repetition: 
('Code', 'Code', 'Code')

Tuple with a loop
('Code',)
(('Code',),)
((('Code',),),)
(((('Code',),),),)
((((('Code',),),),),)

Accessing of Tuple

Tuples are immutable, and usually, they contain a sequence of heterogeneous elements that are accessed via unpacking or indexing (or even by attribute in the case of named tuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.

NOTE : In unpacking of tuple number of variables on left hand side should be equal to number of values in given tuple a.

#Accessing Tuple #with Indexing Tuple1 = tuple("Code") print("\nFirst element of Tuple: ") print(Tuple1[1])       #Tuple unpacking Tuple1 = ("Code", "For", "Dudle")    #This line unpack  #values of Tuple1 a, b, c = Tuple1 print("\nValues after unpacking: ") print(a) print(b) print(c)




output :




First element of Tuple:
o

Values after unpacking:
Code
For
Dudle

Note : As we know that the Tuples are immutable Lets see how




When we once set the Tuple, then we cant change the elements by another elements, if we do then it will give an error




Tuple2=(1,3,5,6)

Tuple2[1]=8

print(Tuple2) 




output :




  File "E:/program/tuple.py", line 2, in <module>
    Tuple2[1]=8

TypeError: 'tuple' object does not support item assignment







Concatenation of Tuples

Concatenation of tuple is the process of joining of two or more Tuples. Concatenation is done by the use of ‘+’ operator and it s is done always from the end of the original tuple. Other arithmetic operations do not apply on Tuples.

Note- Only same datatypes can be combined with concatenation, an error arises if a list and a tuple are combined.

code :

# Concatenaton of tuples

Tuple1 = (0, 1, 2, 3)

Tuple2 = ('Code', 'For', 'Life')

  

Tuple3 = Tuple1 + Tuple2

  

# Printing first Tuple

print("Tuple 1: ")

print(Tuple1)

  

# Printing Second Tuple

print("\nTuple2: ")

print(Tuple2)

  

# Printing Final Tuple

print("\nTuples after Concatenaton: ")

print(Tuple3)




output :




Tuple 1: 
(0, 1, 2, 3)

Tuple2: 
('Code', 'For', 'Life')

Tuples after Concatenaton: 
(0, 1, 2, 3, 'Code', 'For', 'Life')




Slicing of Tuple

Slicing of a Tuple is done by fetching a specific range or slice of sub-elements from a Tuple. Slicing can also be done to lists and arrays. Indexing in a list results to fetching a single element whereas Slicing allows to fetch a set of elements.
Note- Negative Increment values can also be used to reverse the sequence of Tuples

# Slicing of a Tuple   

# Slicing of a Tuple

# with Numbers

Tuple1 = tuple('CODEFORDUDLE')

  

# Removing First element

print("Removal of First Element: ")

print(Tuple1[1:])

  

# Reversing the Tuple 

print("\nTuple after sequence of Element is reversed: ")

print(Tuple1[::-1])

  




output :




Removal of First Element: 
('O', 'D', 'E', 'F', 'O', 'R', 'D', 'U', 'D', 'L', 'E')

Tuple after sequence of Element is reversed: 
('E', 'L', 'D', 'U', 'D', 'R', 'O', 'F', 'E', 'D', 'O', 'C')

Deleting a Tuple

Tuples are immutable and hence they do not allow deletion of a part of it. Entire tuple gets deleted by the use of del() method.
Note- Printing of Tuple after deletion results to an Error.

Lets see how

# Deleting a Tuple

  

Tuple1 = (0, 1, 2, 3, 4)

del Tuple1

  

print(Tuple1)




Note- Printing of Tuple after deletion results to an Error.




output :




  File "E:/program/tuple.py", line 4, in <module>
    print(Tuple1)

NameError: name 'Tuple1' is not defined



















In this article i have briefly described about Tuple in python.

Next Article : Set in Python

Recommended Post : String in Python

                                  Introduction to Data types

#opencv
#matplotlib
#python online
#python programming
#python list
#learn python
#python requests
#introduction to data science in python
#free python tutorial
#learn python basics
#python study
#python and ai
#python computer science
#learn python step by step
#best course to learn python
#learn python with projects