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<\/a>Python Tuple Tutorial – Python Tuple Functions<\/p><\/div>\n
1. len() function in Python<\/h4>\n
Like a list, a\u00a0Python tuple is of a certain length. The len() function returns its length.<\/p>\n
>>> my_tuple<\/pre>\nOutput<\/strong><\/p>\n(1, 2, 3, [6, 5])<\/div>\n
>>> len(my_tuple)<\/pre>\nOutput<\/strong><\/p>\n4<\/div>\n
It returned 4, not 5, because the list counts as 1.<\/p>\n
2. max() function in Python<\/h4>\n
It returns the item from the tuple with the highest value.<\/p>\n
We can\u2019t apply this function on the tuple my_tuple, because ints cannot be compared to a list. So let\u2019s take yet another tuple in Python.<\/p>\n
>>> a=(3,1,2,5,4,6)\r\n>>> max(a)<\/pre>\nOutput<\/strong><\/p>\n6<\/div>\n
Let\u2019s try that on strings.<\/p>\n
>>> max(('Hi','hi','Hello'))<\/pre>\nOutput<\/strong><\/p>\n‘hi’<\/div>\n
\u2018hi\u2019 is the greatest out of these, because h has the highest ASCII value among h and H.<\/p>\n
But you can\u2019t compare an int and a string.<\/p>\n
>>> max(('Hi',9))<\/pre>\nOutput<\/strong><\/p>\n\n
Traceback (most recent call last):File “<pyshell#59>”, line 1, in <module><\/p>\n
max((‘Hi’,9))<\/p>\n
TypeError: ‘>’ not supported between instances of ‘int’ and ‘str’<\/p>\n<\/div>\n
3. min() function in Python<\/h4>\n
Like the max() function, the min() returns the item with the lowest values.<\/p>\n
>>> min(a)<\/pre>\nOutput<\/strong><\/p>\n1<\/div>\n
As you can see, 1 is the smallest item in this\u00a0Python tuple.<\/p>\n
4. sum() function in Python<\/h4>\n
This function returns the arithmetic sum of all the items in the tuple.<\/p>\n
>>> sum(a)<\/pre>\nOutput<\/strong><\/p>\n21<\/div>\n
However, you can\u2019t apply this function on a tuple with strings.<\/p>\n
>>> sum(('1','2','3'))<\/pre>\nOutput<\/strong><\/p>\n\n
Traceback (most recent call last):File “<pyshell#57>”, line 1, in <module><\/p>\n
sum((‘1′,’2′,’3’))<\/p>\n
TypeError: unsupported operand type(s) for +: ‘int’ and ‘str’<\/p>\n<\/div>\n
5. any() function in Python<\/h4>\n
If even one item in the tuple has a Boolean value of True, then this function returns True. Otherwise, it returns False.<\/p>\n
>>> any(('','0',''))<\/pre>\nOutput<\/strong><\/p>\nTrue<\/div>\n
The string \u20180\u2019 does have a Boolean value of True. If it was rather the integer 0, it would\u2019ve returned False.<\/p>\n
>>> any(('',0,''))<\/pre>\nOutput<\/strong><\/p>\nFalse<\/div>\n
6. all() function in Python<\/h4>\n
Unlike any(), all() returns True only if all items have a Boolean value of True. Otherwise, it returns False.<\/p>\n
>>> all(('1',1,True,''))<\/pre>\nOutput<\/strong><\/p>\nFalse<\/div>\n
7. sorted() function in Python<\/h4>\n
This function returns a sorted version of the tuple. The sorting is in ascending order, and it doesn\u2019t modify the original tuple in Python.<\/p>\n
>>> sorted(a)<\/pre>\nOutput<\/strong><\/p>\n[1, 2, 3, 4, 5, 6]<\/div>\n
8. tuple() function in Python<\/h4>\n
\n
This function converts another construct into a Python tuple. Let\u2019s look at some of those.<\/p>\n
>>> list1=[1,2,3]\r\n>>> tuple(list1)<\/pre>\nOutput<\/strong><\/p>\n(1, 2, 3)<\/div>\n
>>> string1=\"string\"\r\n>>> tuple(string1)<\/pre>\nOutput<\/strong><\/p>\n(‘s’, ‘t’, ‘r’, ‘i’, ‘n’, ‘g’)<\/div>\n
How well would it work with sets?<\/p>\n
>>> set1={2,1,3}\r\n>>> tuple(set1)<\/pre>\nOutput<\/strong><\/p>\n(1, 2, 3)<\/div>\n
>>> set1<\/pre>\nOutput<\/strong><\/p>\n{1, 2, 3}<\/div>\n
As we can see, when we declared a set as 2,1,3, it automatically reordered itself to 1,2,3. Furthermore, creating a\u00a0Python tuple from it returned the new tuple in the new order, that is, ascending order.<\/p>\n
Python Tuple Methods<\/h3>\n
A method is a sequence of instructions to perform on something. Unlike a function, it modifies the construct on which it is called. You call a method using the dot operator in Python. <\/strong>Let\u2019s learn about the two built-in methods of Python.<\/p>\n1. index() method in Python<\/h4>\n
This method takes one argument and returns the index of the first appearance of an item in a tuple. Let\u2019s take a new tuple.<\/p>\n
>>> a=(1,2,3,2,4,5,2)\r\n>>> a.index(2)<\/pre>\nOutput<\/strong><\/p>\n1<\/div>\n
As you can see, we have 2s at indices 1, 3, and 6. But it returns only the first index.<\/p>\n
2. count() method in Python<\/h4>\n
This method takes one argument and returns the number of times an item appears in the tuple.<\/p>\n
>>> a.count(2)<\/pre>\nOutput<\/strong><\/p>\n3<\/div>\n
Python Tuple Operations<\/h3>\n
Now, we will look at the operations that we can perform on tuples in Python.<\/p>\n
1. Membership operation in Tuple<\/h4>\n
We can apply the \u2018in\u2019 and \u2018not in\u2019 operators on items. This tells us whether they belong to the tuple.<\/p>\n
>>> 'a' in tuple(\"string\")<\/pre>\nOutput<\/strong><\/p>\nFalse<\/div>\n
>>> 'x' not in tuple(\"string\")<\/pre>\nOutput<\/strong><\/p>\nTrue<\/div>\n
2. Concatenation operation in Tuple<\/h4>\n
Like we\u2019ve previously discussed on several occasions, concatenation is the act of joining. We can join two tuples using the concatenation operator \u2018+\u2019.<\/p>\n
>>> (1,2,3)+(4,5,6)<\/pre>\nOutput<\/strong><\/p>\n(1, 2, 3, 4, 5, 6)<\/div>\n
Other arithmetic operations do not apply on a tuple.<\/p>\n
3. Logical operation in Tuple<\/h4>\n
All the logical operators (like >,>=,..) can be applied on a tuple.<\/p>\n
>>> (1,2,3)>(4,5,6)<\/pre>\nOutput<\/strong><\/p>\nFalse<\/div>\n
>>> (1,2)==('1','2')<\/pre>\nOutput<\/strong><\/p>\nFalse<\/div>\n
As is obvious, the ints 1 and aren\u2019t equal to the strings \u20181\u2019 and \u20182\u2019. Likewise, it returns False.<\/p>\n
4. Identity operation in Tuple<\/h4>\n
Remember the \u2018is\u2019 and \u2018is not\u2019 operators we discussed in our tutorial on Python Operators? Let\u2019s try that on tuples.<\/p>\n
>>> a=(1,2)\r\n>>> (1,2) is a<\/pre>\nOutput<\/strong><\/p>\nFalse<\/div>\n
That did not make sense, did it? So what really happened? Well, in Python, two tuples or lists do not have the same identity. In other words, they are two different tuples or lists. As a result, it returns False.<\/p>\n
Iterating on a Python Tuple<\/h3>\n
You can iterate on a Python tuple using a for loop as you would iterate on a list.<\/p>\n
>>> for i in (1,3,2):\r\n print(i)<\/pre>\nOutput<\/strong><\/p>\n1
\n3
\n2<\/div>\n
Nested Tuples in Python<\/h3>\n
Finally, we will learn about nesting tuples. You may remember how we can nest lists. Due to the similarities of a tuple to a list, we do the same with tuples.<\/p>\n
>>> a=((1,2,3),(4,(5,6)))<\/pre>\nSuppose we want to access item 6. For that, since we use indices, we write the following code.<\/p>\n
>>> a[1][1][1]<\/pre>\nOutput<\/strong><\/p>\n6<\/div>\n
Python tuples may also contain other constructs, especially lists. After all, it is a collection of items, and items can be anything.<\/p>\n
>>> (1,2,[3,4])<\/pre>\nOutput<\/strong><\/p>\n(1, 2, [3, 4])<\/div>\n
This was all on the Python Tuple Tutorial. Hope you like our explanation.<\/p>\n
Python Interview Questions on Python Tuples<\/h3>\n
1. What are tuples in Python?<\/p>\n
2. How do tuples work in Python?<\/p>\n
3. How do you initialise a tuple in Python?<\/p>\n
4. What is the difference between a Python Tuple and a Python list?<\/p>\n
5. Why do we use tuples in Python?<\/p>\n
Conclusion<\/h3>\n
Think of a Python tuple as a sealed envelope: once you slip data inside and close it, no one can swap, add, or delete its parts. This read-only nature guards settings, GPS points, dates, or any record that must stay fixed through the run.<\/p>\n
Tuples use round brackets and take less memory than lists because Python can store them in a tighter pack and skip safety checks for edits. They also work as keys in dictionaries or items in sets because the language trusts they will never change.<\/p>\n","protected":false},"excerpt":{"rendered":"
In this Python Tuple tutorial, we will take a deeper look at Python tuples. First, let\u2019s look at what a Python tuple is, and then we will discuss how to create, access, slice, and...<\/p>\n","protected":false},"author":5,"featured_media":42160,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[16524,16523,16520,16521,10901,16522,14984],"class_list":["post-5542","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-create-python-tuples","tag-functions-on-tuples","tag-nested-tuples","tag-operations-on-python-tuples","tag-python-tuples","tag-python-tuples-methods","tag-tuples-in-python"],"yoast_head":"\n
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