{"id":74731,"date":"2020-01-06T12:19:08","date_gmt":"2020-01-06T06:49:08","guid":{"rendered":"https:\/\/techvidvan.com\/tutorials\/?p=74731"},"modified":"2020-01-06T12:19:08","modified_gmt":"2020-01-06T06:49:08","slug":"python-tuples","status":"publish","type":"post","link":"https:\/\/techvidvan.com\/tutorials\/python-tuples\/","title":{"rendered":"Python Tuples – The immutable sequence of objects"},"content":{"rendered":"

In this Python tuples tutorial, we are going to look at a data structure that is Tuples.<\/p>\n

First, we will see what tuples are, then we will discuss how to create<\/strong>, access<\/strong>, slice<\/strong> and delete<\/strong> elements in the tuple. Furthermore, we will see the functions and operations performed on tuples.<\/p>\n

What are Tuples in Python?<\/h3>\n

Tuples are collections<\/strong> of Python objects<\/strong>. They are similar to lists but the difference between them is that tuples<\/strong> are immutable<\/strong> while lists<\/strong> are mutable<\/strong>.<\/p>\n

How to Create Tuples in Python?<\/h3>\n

Tuples are created by typing a sequence of items<\/strong>, separated by commas<\/strong>. Optionally, you can put the comma-separated<\/strong> values in parenthesis<\/strong>.<\/p>\n

Tuple1 = (1,2,5,6)\nTuple2 = (\u2018a\u2019, \u201cb\u201d, \u2018c\u2019, \u201cd\u201d)\nTuple3 = () #empty tuple\nTuple4 = 5,3,1\nTuple5 = (\u201cLondon\u201d, \u201cTokyo\u201d, \u201cKorea\u201d, 1986,1640, 1948)<\/pre>\n
Note:<\/strong> To create a single item tuple, you have to use a comma after the value.<\/p>\n
Example:<\/strong><\/p>\n
Tup1 = (5)\nTup2 = (5,)\nprint(type(Tup1))\nprint(type(Tup2))<\/pre>\n
Output:<\/strong><\/p>\n
<class ‘int’>
\n<class ‘tuple’><\/div>\n
Accessing Tuple<\/h3>\n
The values of tuples are stored at different index positions<\/strong> starting from zero<\/strong>. We can access the values by using their index positions inside square brackets<\/strong>.<\/p>\n
Code:<\/strong><\/p>\n
cars = (\u201cFerrari\u201d, \u201cBMW\u201d, \u201cAudi\u201d, \u201cJaguar\u201d)\nprint(cars)\nprint(cars[0])\nprint(cars[1])\nprint(cars[3])\nprint(cars[3])\nprint(cars[4])<\/pre>\n
Output:<\/strong><\/p>\n
(\u201cFerrari\u201d, \u201cBMW\u201d, \u201cAudi\u201d, \u201cJaguar\u201d)
\nFerrari
\nBMW
\nAudi
\nJaguar
\nTraceback (most recent call last):
\n\u00a0\u00a0<\/span>File “<stdin>”, line 7, in <module>
\nIndexError: tuple index out of range<\/div>\n
We got the index error<\/strong> in line number 7 because index 4 is out of the range<\/strong>.<\/p>\n
Iterating over Tuples<\/h3>\n
We can use for loops <\/strong>to iterate<\/strong> on a tuple. The for loop<\/strong>\u00a0will keep on iterating until the elements<\/strong> in the tuples are exhausted<\/strong>.<\/p>\n
for num in (12,4,6,22,8,10):\n    print(num)<\/pre>\n
Output:<\/strong><\/p>\n
12
\n4
\n6
\n22
\n8
\n10<\/div>\n
Slicing Tuples<\/h3>\n
To take out some parts from the tuple, we use the slicing operator([])<\/strong> and it returns<\/strong> a new tuple<\/strong>.<\/p>\n
1. Positive Indexing<\/h4>\n
In positive indexing, we traverse the list<\/strong> from left to right<\/strong>. As we know, the index starts from zero<\/strong> and goes till the number of elements<\/strong> minus one<\/strong>.<\/p>\n
Code:<\/strong><\/p>\n
numbers = (1,2,3,4,5,6)\n\n#From zero to 4th element\nprint( numbers[:4] )\n#From 2nd to 3rd element\nprint( numbers[1:3] )\n#From 5th to 5th element\nprint( numbers[4:5] )<\/pre>\n
Output:<\/strong><\/p>\n
(1,2,3,4)
\n(2,3)
\n(5,)<\/div>\n
2. Negative Indexing<\/h4>\n
In negative indexing, we traverse<\/strong> from right to left<\/strong>. The last number<\/strong> is accessed with -1<\/strong>, the second number<\/strong> with -2<\/strong> and so on.<\/p>\n
Code:<\/strong><\/p>\n
numbers = (1,2,3,4,5,6)\n\nprint( numbers[-3:] )\nprint( numbers[:-3] )\nprint( numbers[2:-2] )\nprint( numbers[-6:-2] )<\/pre>\n
Output:<\/strong><\/p>\n
(4,5,6)
\n(1,2,3)
\n(3,4)
\n(1,2,3,4)<\/div>\n
Tuples Unpacking<\/h3>\n
With a special syntax, Python can unpack the values of a tuple and extract<\/strong> them into single variables<\/strong>.<\/p>\n
Let\u2019s see this with an example,<\/p>\n
a,b,c = (1,2,3)\nprint(a)\nprint(b)\nprint(c)<\/pre>\n
Output:<\/strong><\/p>\n
1
\n2
\n3<\/div>\n
The number of variables to the left and right side should be the same<\/strong> and it assigns each variable respectively.<\/p>\n
Changing Tuple Values<\/h3>\n
As we said earlier that tuples are immutable<\/strong> which means that once a tuple is created we cannot change<\/strong> its value<\/strong>.<\/p>\n
Let\u2019s try changing a tuple value and see what error<\/strong> we get.<\/p>\n
Code:<\/strong><\/p>\n
num = (1,2,3)\nnum[1] = 20<\/pre>\n
Output:<\/strong><\/p>\n
Traceback (most recent call last):
\n\u00a0\u00a0<\/span>File “<stdin>”, line 2, in <module>
\nTypeError: ‘tuple’ object does not support item assignment<\/div>\n
Let\u2019s see a special case when a tuple is containing list inside it.<\/p>\n
Lists are mutable<\/strong> so we can change<\/strong> the list value<\/strong> inside the tuples.<\/p>\n
Code:<\/strong><\/p>\n
tup = (\u2018a\u2019, \u2019b\u2019, [1, 2, 3], \u2019c\u2019, \u2019d\u2019)\ntup[2][1] = 10\nprint(tup)<\/pre>\n
Output:<\/strong><\/p>\n
(\u2018a\u2019, \u2019b\u2019, [1, 10, 3], \u2019c\u2019, \u2019d\u2019)<\/div>\n
Deleting Python Tuples<\/h3>\n
Tuples are immutable objects so we cannot change<\/strong> or modify<\/strong> tuples.<\/p>\n
So, what about deleting an element from the tuple?<\/p>\n
tup = (1,2,3,4,5)\ndel tup[2]<\/pre>\n
Output:<\/strong><\/p>\n
Traceback (most recent call last):
\n\u00a0\u00a0<\/span>File “<stdin>”, line 2, in <module>
\nTypeError: ‘tuple’ object doesn’t support item deletion<\/div>\n
Hence now we conclude that we cannot delete<\/strong> an element<\/strong> from the tuple.<\/p>\n
But we can delete the whole tuple<\/strong>.<\/p>\n
del tup\nprint(tup)<\/pre>\n
Output:<\/strong><\/p>\n
Traceback (most recent call last):
\n\u00a0\u00a0<\/b>File “<stdin>”, line 2, in <module>
\nNameError: name ‘tup’ is not defined<\/div>\n
Python Tuple Operations<\/h3>\n
Let\u2019s see the operations we can perform on tuples.<\/p>\n
Tuples can be concatenated<\/strong> and repeated,<\/strong> they return<\/strong> a new<\/strong> tuple<\/strong> after operations<\/strong>.\"python<\/a><\/p>\n
Python Tuple Methods<\/h3>\n
Since tuples are immutable, we don\u2019t have methods to add<\/strong> or remove<\/strong> items. Instead, we have two available methods, count()<\/strong> and index()<\/strong>.<\/p>\n
1. count()<\/h4>\n
This method is used to count the number of occurrences<\/strong> of a Python object in the tuple. It returns an integer value<\/strong>.<\/p>\n
(1,2,2,2,1,4,2).count(2)<\/pre>\n
Output:<\/strong><\/p>\n
4<\/div>\n
2. index()<\/h4>\n
This method returns the index of the specified<\/strong> item. In the case of multiple occurrences<\/strong>, it returns the first position<\/strong> of the object.<\/p>\n
(1, 3, 5, 7, 9, 7).index(7)<\/pre>\n
Output:<\/strong><\/p>\n
3<\/div>\n
Python Tuple Functions\"python<\/a><\/h3>\n
1. len()<\/h4>\n
The len() function returns us the length<\/strong> of a sequence<\/strong> or a container<\/strong>. It is applicable on tuples<\/strong> also.<\/p>\n
len((1,2,3,4,5))<\/pre>\n
Output:<\/strong><\/p>\n
5<\/div>\n
2. max()<\/h4>\n
The max() function returns us the maximum element<\/strong> from a sequence<\/strong> or container<\/strong>. The elements must contain all numbers<\/strong> or all<\/strong> characters<\/strong>.<\/p>\n
max((120,20,240))<\/pre>\n
Output:<\/strong><\/p>\n
240<\/div>\n
3. min()<\/h4>\n
The min() function returns the minimum value<\/strong> from group of elements<\/strong>.<\/p>\n
min((-10,-5, 3,20))<\/pre>\n
Output:<\/strong><\/p>\n
-10<\/div>\n
4. sum()<\/h4>\n
The sum() function calculates the total sum<\/strong> of all elements and returns it. It can only be used on numeric values<\/strong>.<\/p>\n
sum((5,10,15,20))<\/pre>\n
Output:<\/strong><\/p>\n
50<\/div>\n
5. tuple()<\/h4>\n
The tuple() function converts<\/strong> an iterable<\/strong> like a list<\/strong>, set<\/strong>, string<\/strong> into an immutable<\/strong> tuple<\/strong>.<\/p>\n
tuple([1,2,3,4])<\/pre>\n
Output:<\/strong><\/p>\n
(1,2,3,4)<\/div>\n
6. sorted()<\/h4>\n
The sorted() function sorts the elements in ascending order. It takes an iterable like a tuple and returns a list<\/strong> of sorted elements<\/strong>.<\/p>\n
sorted((4,3,2,1))<\/pre>\n
Output:<\/strong><\/p>\n
[1,2,3,4]<\/div>\n
That\u2019s all about the Python tuples.<\/p>\n
Summary<\/h3>\n
In this TechVidvan’s Python tuples article, we studied the tuple data structure in Python. We learned how to create tuples<\/strong> and indexing<\/strong> of tuples<\/strong>. Tuples are immutable<\/strong> so we use them when we don\u2019t want to change the values<\/strong> of an object.<\/p>\n
Later on, we saw how to access<\/strong> elements of tuples and all the functions<\/strong> and operations<\/strong> that we can use on tuples.<\/p>\n","protected":false},"excerpt":{"rendered":"
In this Python tuples tutorial, we are going to look at a data structure that is Tuples. First, we will see what tuples are, then we will discuss how to create, access, slice and...<\/p>\n","protected":false},"author":1,"featured_media":75019,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1053],"tags":[1182,1183,1184,1185,1186,1187],"class_list":["post-74731","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-python-tuple-functions","tag-python-tuple-methods","tag-python-tuple-operations","tag-python-tuples","tag-tuples-in-python","tag-what-are-tuples-in-python"],"yoast_head":"\nPython Tuples - The immutable sequence of objects - TechVidvan<\/title>\n<meta name=\"description\" content=\"Python Tuples - Learn tuples in Python, how to create, access, slice, & delete elements in tuple. 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