Learn Python With Us - Python Tuple

Learn Python With Us - Python Tuple

Tuples are ordered collections of both mutable and immutable data that are unchangeable.

Syed Jafer K's photo
Syed Jafer K
ยทNov 26, 2022ยท

7 min read

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Table of contents

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What is a Tuple?

Tuples are ordered collections of both mutable and immutable data that are unchangeable. It can contain both the mutable and immutable data types.

How tuple works internally ?

Both lists and tuples are implemented as a list of pointers to the Python objects (items). Tuple is stored in a single block of memory. Creating a tuple is faster than creating a list. Creating a list is slower because two memory blocks need to be accessed. An element in a tuple cannot be removed or replaced.


A tuple data structure can be defined in two different methods,

  1. () using smooth parentheses.

  2. tuple() method.

1. Using smooth parentheses

You can declare the tuple like,

data = ('d1', 'd2', 'd3')

But there is one thing to be noted (i.e,) If you want to declare a tuple with one value, then you should not use closed parentheses.

Let's see why

data = (1)
print(data, type(data))

declaring tuple with one value

So if you want to declare an tuple with only one value, then we need to specify a comma at the end.

data = (1,)
print(data, type(data))

declaring tuple with only one value

2. Using constructor tuple()

Using tuple() constructor, we can convert a list, tuple, set to a tuple.

List to Tuple

data = [1, 2, 3]
tuple_data = tuple(data)
print(tuple_data, type(tuple_data))

list to tuple conversion

Set to Tuple

data = {1, 2, 3, 4}
tuple_data = tuple(data)
print(tuple_data, type(tuple_data))

set to tuple conversion

Dictionary to Tuple

data = {"name":"makereading"}
tuple_data = tuple(data)
print(tuple_data, type(tuple_data))

dictionary to tuple

Tuple to Tuple

data = (1, 2, 3, 4)
tuple_data = tuple(data)
print(tuple_data, type(tuple_data))

tuple to tuple

Tuple with basic built-in function


To find the length of the tuple,

data = (1, 2, 3, 4, 5)

python length

Max and Min value

data = (1, 2, 3, 4, 5, 6)
print("Max value, ", max(data), "Min value", min(data))

max min value

Type of the Datastructure

To find the type of the datastructure used, we can use type(),

data = (1, 2, 3, 4, 5)

Type of Datastructure


If any of the values in the set is true (i.e,) Non-Zero , Non-Empty String, False values then it will return True, else False.

data = (1, 0, '', False)

any python method


If all of the values in the set is true (i.e,) Non-Zero , Non-Empty String, False values then it will return True, else False.

data = (1, 2, 3)

data = ("", 0, False)

all python true value

To find the index of an element

For finding the index of the element in a datastructure, we can use index() method. index() method in python has 3 parameters (with 2 optional)

index(element, start, stop)
element - Element to be found
start - Start index to search from specific index.
stop - Stop index to search till which index (stop index will not be included)

index element

In the last example of the above image, we can see the stop index is not being considered for search. If the element is not fount it will throw ValueError.

To find the occurrences of an element

count() method is used to find the total occurrences of an element in the given array.

data = (1, 2, 3, 4, 5, 6)

count python

๐Ÿ™‹ What would happen if the element is not present in the tuple ? Will it return an error or what ?

Accessing Elements of Set

Tuple items are indexed and you can access them by referring to the index number. Python supports positive zero-based indexing and negative indexing that starts from -1. Negative indexing in Python means the indexing starts from the end of the iterable. The last element is at index -1, the second last at -2, and so on.

consider the list, arr = ('a', 'b', 'c', 'd', 'e', 'f'), which is having 6 elements. From the below image, you can see the values of the positive indexing and negative indexing.

positive indexing

Positive Indexing

In this type of Indexing, we pass a positive index (which we want to access) in closed brackets. The index number starts from index number 0 (which denotes the first element of a list).

fruits = ("apple", "banana", "cherry")

list index positive indexing

Negative Indexing

Negative indexing means starting from the end. -1 refers to the last item, -2 refers to the second last item, etc.

fruits = ("apple", "banana", "cherry")

negative indexing


**1. **You can specify a range of indexes by specifying where to start and where to end the range. When specifying a range, the return value will be a new list with the specified items.

tuple[start : stop : step]

The format for tuple slicing is [start: stop: step].

  • start is the index of the tuple where slicing starts. (starting position is included)

  • stop is the index of the tuple where slicing ends. (stop position is excluded)

  • step allows you to select an nth item within the range start to stop (default value is 1)

๐Ÿ–Š๏ธ If the stop value is greater than the tuple of the array, it won't throw an error. It will just consider till the end of the array.

**Example: **

fruits = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango")

๐Ÿ“ Note: The search will start at index 2 (included) and end at index 5 (not included).

python slicing

python slicing explanation

**2. ** If you aren't specifying the start value it will take index 0 as the start value. The same thing to the end, if you aren't specifying the end value it will take len(arr).

fruits = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango")

fruits = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango")

python slicing without start or end

**3. ** If you aren't specifying both the start and end, then for start it's value will be 0 and for the end, its value will be len of the tuple.

**4. ** Let's try with negative indexing,

fruits = ("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango")

slicing with negative indexing

negative indexing explanation

**5. ** Step Size specifies which element to picking while indexing. So a step size of 1 tells python to pick every element, a step size of 2 means picking alternate elements, and so on.

๐Ÿ—๏ธ Default step size is 1.

positive negative step index

Modifying Tuple Elements

We can't replace a value in the tuple based on the index, or the range of indexes; since the tuple is an immutable data structure.

1. Change value based on the index will throw error

fruits = ("apple", "banana", "cherry")
fruits[1] = "blackcurrant"  

Change value based on the index will throw error

2. Workaround to modify a tuple

For modifying a tuple, we need to first convert a tuple to a list and then modify all operations on top of the list, then convert back to a tuple.

data = (1, 2, 3, 4)
list_data = list(data)

# Adding some values to the list

# Converting back to tuple
data = tuple(list_data)
print(data, type(data))

workaround to modify to a tuple

Removing an element

Same as adding an element to a tuple (workaround), we need to follow the same steps. But to delete an object, we can use del .

data = (1, 2, 3, 4 ,5)
del data

Removing an element


Sorting a tuple is also not possible, because tuple is an immutable datatype. But we can use sorted function to sort the tuple, but remember it will return a list.

data = (10, 2, 3, 1, 5)
sorted_data = sorted(data)
print(sorted_data, type(sorted_data))

sorted tuple

Now we have came to the conclusion on using the Tuple data type. Now let us solve some excersice.


  1. Write a Python program to create a tuple with different data types.

  2. Write a Python program to unpack a tuple in several variables

  3. Write a Python program to add an item in a tuple.

  4. Write a Python program to get the 4th element and 4th element from last of a tuple.

  5. Write a Python program to remove an item from a tuple

  6. Counts the number of occurrences of item 50 from a tuple

  7. Check if all items in the tuple are the same


**Hackerrank: **

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