Python set is an unordered collection of multiple items having different datatypes. In Python, sets are mutable, unindexed and do not contain duplicates. The order of elements in a set is not preserved and can change.
- Can store None values.
- Implemented using hash tables internally.
- Do not implement interfaces like Serializable or Cloneable.
- Python sets are not inherently thread-safe; synchronization is needed if used across threads.
Creating a Set in Python
In Python, the most basic and efficient method for creating a set is using curly braces.
Pythonset1={1,2,3,4}print(set1)Using the set() function
Python Sets can be created by using the built-inset() function with an iterable object or a sequence by placing the sequence inside curly braces, separated by a 'comma'.
Note:A Python set cannot contain mutable types such as lists or dictionaries, because they are unhashable.
Pythonset1=set()print(set1)set1=set("GeeksForGeeks")print(set1)# Creating a Set with the use of a Listset1=set(["Geeks","For","Geeks"])print(set1)# Creating a Set with the use of a tupletup=("Geeks","for","Geeks")print(set(tup))# Creating a Set with the use of a dictionaryd={"Geeks":1,"for":2,"Geeks":3}print(set(d))Outputset(){'e', 'r', 'o', 'k', 'G', 's', 'F'}{'For', 'Geeks'}{'for', 'Geeks'}{'for', 'Geeks'} Unordered, Unindexed and Mutability
In set, the order of elements is not guaranteed to be the same as the order in which they were added. The output could vary each time we run the program. Also the duplicate items entered are removed by itself.
Sets do not support indexing. Trying to access an element by index (set[0]) raises aTypeError.
We can add elements to the set usingadd(). We can remove elements from the set usingremove(). The set changes after these operations, demonstrating its mutability. However, we cannot changes its items directly.
Pythonset1={3,1,4,1,5,9,2}print(set1)# Output may vary: {1, 2, 3, 4, 5, 9}# Unindexed: Accessing elements by index is not possible# This will raise a TypeErrortry:print(set1[0])exceptTypeErrorase:print(e)Output{1, 2, 3, 4, 5, 9}'set' object is not subscriptable Adding Elements to a Set in Python
We can add items to a set usingadd() method andupdate() method. add() method can be used to add only a single item. To add multiple items we use update() method.
Python# Creating a setset1={1,2,3}# Add one itemset1.add(4)# Add multiple itemsset1.update([5,6])print(set1)Accessing a Set in Python
We can loop through a set to access set items as set is unindexed and do not support accessing elements by indexing. Also we can usein keyword which is membership operator to check if an item exists in a set.
Pythonset1=set(["Geeks","For","Geeks."])# Accessing element using For loopforiinset1:print(i,end=" ")# Checking the element# using in keywordprint("Geeks"inset1)OutputGeeks For Geeks. True
Explanation:
- This loop will print each item in the set. Since sets are unordered, the order of items printed is not guaranteed.
- This code checks if the number 4 is in set1 and prints a corresponding message.
Removing Elements from the Set in Python
We can remove an element from a set in Python using several methods: remove(), discard() and pop(). Each method works slightly differently :
Using remove() Method or discard() Method
remove() method removes a specified element from the set. If the element is not present in the set, it raises a KeyError. discard() method also removes a specified element from the set. Unlike remove(), if the element is not found, it does not raise an error.
Python# Using Remove Methodset1={1,2,3,4,5}set1.remove(3)print(set1)# Attempting to remove an element that does not existtry:set1.remove(10)exceptKeyErrorase:print("Error:",e)# Using discard() Methodset1.discard(4)print(set1)# Attempting to discard an element that does not existset1.discard(10)# No error raisedprint(set1)Output{1, 2, 4, 5}Error: 10{1, 2, 5}{1, 2, 5} Using pop() Method
pop() method removes and returns an arbitrary element from the set. This means we don't know which element will be removed. If the set is empty, it raises a KeyError.
Note:If the set is unordered then there's no such way to determine which element is popped by using the pop() function.
Pythonset1={1,2,3,4,5}val=set1.pop()print(val)print(set1)# Using pop on an empty setset1.clear()# Clear the set to make it emptytry:set1.pop()exceptKeyErrorase:print("Error:",e)Output1{2, 3, 4, 5}Error: 'pop from an empty set' Using clear() Method
clear() method removes all elements from the set, leaving it empty.
Pythonset1={1,2,3,4,5}set1.clear()print(set1)Frozen Sets in Python
Afrozensetin Python is a built-in data type that is similar to a set but with one key difference that is immutability. This means that once a frozenset is created, we cannot modify its elements that is we cannot add, remove or change any items in it. Like regular sets, a frozenset cannot contain duplicate elements.
If no parameters are passed, it returns an empty frozenset.
Python# Creating a frozenset from a listfset=frozenset([1,2,3,4,5])print(fset)# Creating a frozenset from a setset1={3,1,4,1,5}fset=frozenset(set1)print(fset)Outputfrozenset({1, 2, 3, 4, 5})frozenset({1, 3, 4, 5}) Typecasting Objects into Sets
Typecasting objects into sets in Python refers to converting various data types into a set. Python provides the set() constructor to perform this typecasting, allowing us to convert lists, tuples and strings into sets.
Python# Typecasting list into setli=[1,2,3,3,4,5,5,6,2]set1=set(li)print(set1)# Typecasting string into sets="GeeksforGeeks"set1=set(s)print(set1)# Typecasting dictionary into setd={1:"One",2:"Two",3:"Three"}set1=set(d)print(set1)Output{1, 2, 3, 4, 5, 6}{'f', 'G', 's', 'k', 'r', 'e', 'o'}{1, 2, 3} Related Links
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