
myset = {"apple", "banana", "cherry"}Sets are used to store multiple items in a single variable.
Set is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Tuple, and Dictionary, all with different qualities and usage.
A set is a collection which is unordered, unchangeable*, and unindexed.
* Note: Set items are unchangeable, but you can remove items and add new items.
Sets are written with curly brackets.
Create a Set:
thisset = {"apple", "banana", "cherry"}
print(thisset)Note: Sets are unordered, so you cannot be sure in which order the items will appear.
Set items are unordered, unchangeable, and do not allow duplicate values.
Unordered means that the items in a set do not have a defined order.
Set items can appear in a different order every time you use them, and cannot be referred to by index or key.
Set items are unchangeable, meaning that we cannot change the items after the set has been created.
Once a set is created, you cannot change its items, but you can remove items and add new items.
Sets cannot have two items with the same value.
Duplicate values will be ignored:
thisset = {"apple", "banana", "cherry", "apple"}
print(thisset)Note: The values True and 1 are considered the same value in sets, and are treated as duplicates:
True and 1 is considered the same value:
thisset = {"apple", "banana", "cherry", True, 1, 2}
print(thisset)Note: The values False and 0 are considered the same value in sets, and are treated as duplicates:
False and 0 is considered the same value:
thisset = {"apple", "banana", "cherry", False, True, 0}
print(thisset)To determine how many items a set has, use the len() function.
Get the number of items in a set:
thisset = {"apple", "banana", "cherry"}
print(len(thisset))Set items can be of any data type:
String, int and boolean data types:
set1 = {"apple", "banana", "cherry"}
set2 = {1, 5, 7, 9, 3}
set3 = {True, False, False}A set can contain different data types:
A set with strings, integers and boolean values:
set1 = {"abc", 34, True, 40, "male"}What is the data type of a set?
myset = {"apple", "banana", "cherry"}
print(type(myset))It is also possible to use the set() constructor to make a set.
Using the set() constructor to make a set:
thisset = set(("apple", "banana", "cherry")) # note the double round-brackets
print(thisset)There are four collection data types in the Python programming language:
*Set items are unchangeable, but you can remove items and add new items.
**As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered.
You cannot access items in a set by referring to an index or a key.
But you can loop through the set items using a for loop, or ask if a specified value is present in a set, by using the in keyword.
Loop through the set, and print the values:
thisset = {"apple", "banana", "cherry"}
for x in thisset:
print(x)Check if "banana" is present in the set:
thisset = {"apple", "banana", "cherry"}
print("banana" in thisset)Check if "banana" is NOT present in the set:
thisset = {"apple", "banana", "cherry"}
print("banana" not in thisset)Once a set is created, you cannot change its items, but you can add new items.
To add one item to a set use the add() method.
Add an item to a set, using the add() method:
thisset = {"apple", "banana", "cherry"}
thisset.add("orange")
print(thisset)To add items from another set into the current set, use the update() method.
Add elements from tropical into thisset:
thisset = {"apple", "banana", "cherry"}
tropical = {"pineapple", "mango", "papaya"}
thisset.update(tropical)
print(thisset)The object in the update() method does not have to be a set, it can be any iterable object (tuples, lists, dictionaries etc.).
Add elements of a list to a set:
thisset = {"apple", "banana", "cherry"}
mylist = ["kiwi", "orange"]
thisset.update(mylist)
print(thisset)To remove an item in a set, use the remove(), or the discard() method.
Remove "banana" by using the remove() method:
thisset = {"apple", "banana", "cherry"}
thisset.remove("banana")
print(thisset)Note: If the item to remove does not exist, remove() will raise an error.
Remove "banana" by using the discard() method:
thisset = {"apple", "banana", "cherry"}
thisset.discard("banana")
print(thisset)Note: If the item to remove does not exist, discard() will NOT raise an error.
Remove a random item by using the pop() method:
thisset = {"apple", "banana", "cherry"}
x = thisset.pop()
print(x)
print(thisset)Note: Sets are unordered, so when using the pop() method, you do not know which item that gets removed.
The clear() method empties the set:
thisset = {"apple", "banana", "cherry"}
thisset.clear()
print(thisset)The del keyword will delete the set completely:
thisset = {"apple", "banana", "cherry"}
del thisset
print(thisset)You can loop through the set items by using a for loop:
thisset = {"apple", "banana", "cherry"}
for x in thisset:
print(x)There are several ways to join two or more sets in Python.
The union() and update() methods joins all items from both sets.
The intersection() method keeps ONLY the duplicates.
The difference() method keeps the items from the first set that are not in the other set(s).
The symmetric_difference() method keeps all items EXCEPT the duplicates.
The union() method returns a new set with all items from both sets.
set1 = {"a", "b", "c"}
set2 = {1, 2, 3}
set3 = set1.union(set2)
print(set3)You can use the | operator instead of the union() method, and you will get the same result.
set1 = {"a", "b", "c"}
set2 = {1, 2, 3}
set3 = set1 | set2
print(set3)All the joining methods and operators can be used to join multiple sets.
When using a method, just add more sets in the parentheses, separated by commas:
set1 = {"a", "b", "c"}
set2 = {1, 2, 3}
set3 = {"John", "Elena"}
set4 = {"apple", "bananas", "cherry"}
myset = set1.union(set2, set3, set4)
print(myset)When using the | operator, separate the sets with more | operators:
myset = set1 | set2 | set3 | set4
print(myset)The union() method allows you to join a set with other data types, like lists or tuples.
The result will be a set.
x = {"a", "b", "c"}
y = (1, 2, 3)
z = x.union(y)
print(z)| operator only allows you to join sets with sets, and not with other data types like you can with the union() method.The update() method inserts all items from one set into another.
The update() changes the original set, and does not return a new set.
set1 = {"a", "b", "c"}
set2 = {1, 2, 3}
set1.update(set2)
print(set1)Keep ONLY the duplicates
The intersection() method will return a new set, that only contains the items that are present in both sets.
set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}
set3 = set1.intersection(set2)
print(set3)You can use the & operator instead of the intersection() method, and you will get the same result.
set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}
set3 = set1 & set2
print(set3)& operator only allows you to join sets with sets, and not with other data types like you can with the intersection() method.The intersection_update() method will also keep ONLY the duplicates, but it will change the original set instead of returning a new set.
set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}
set1.intersection_update(set2)
print(set1)The values True and 1 are considered the same value. The same goes for False and 0.
set1 = {"apple", 1, "banana", 0, "cherry"}
set2 = {False, "google", 1, "apple", 2, True}
set3 = set1.intersection(set2)
print(set3)The difference() method will return a new set that will contain only the items from the first set that are not present in the other set.
set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}
set3 = set1.difference(set2)
print(set3)You can use the - operator instead of the difference() method, and you will get the same result.
set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}
set3 = set1 - set2
print(set3)- operator only allows you to join sets with sets, and not with other data types like you can with the difference() method.The difference_update() method will keep the items from the first set that are not in the other set, but it will change the original set instead of returning a new set.
set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}
set1.difference_update(set2)
print(set1)The symmetric_difference() method will return a new set, that contains only the elements that are NOT present in both sets.
set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}
set3 = set1.symmetric_difference(set2)
print(set3)You can use the ^ operator instead of the symmetric_difference() method, and you will get the same result.
set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}
set3 = set1 ^ set2
print(set3)^ operator only allows you to join sets with sets, and not with other data types like you can with the symmetric_difference() method.The symmetric_difference_update() method will also keep all but the duplicates, but it will change the original set instead of returning a new set.
set1 = {"apple", "banana", "cherry"}
set2 = {"google", "microsoft", "apple"}
set1.symmetric_difference_update(set2)
print(set1)frozenset is an immutable version of a set.
Like sets, it contains unique, unordered, unchangeable elements.
Unlike sets, elements cannot be added or removed from a frozenset.
Use the frozenset() constructor to create a frozenset from any iterable.
Create a frozenset and check its type:
x = frozenset({"apple", "banana", "cherry"})
print(x)
print(type(x))Being immutable means you cannot add or remove elements. However, frozensets support all non-mutating operations of sets.
| Method | Shortcut | Description |
|---|---|---|
| copy() | Returns a shallow copy | |
| difference() | - | Returns a new frozenset with the difference |
| intersection() | & | Returns a new frozenset with the intersection |
| isdisjoint() | Returns whether two frozensets have an intersection | |
| issubset() | <= / < | Returns True if this frozenset is a (proper) subset of another |
| issuperset() | >= / > | Returns True if this frozenset is a (proper) superset of another |
| symmetric_difference() | ^ | Returns a new frozenset with the symmetric differences |
| union() | | | Returns a new frozenset containing the union |
Python has a set of built-in methods that you can use on sets.
| Method | Shortcut | Description |
|---|---|---|
| add() | Adds an element to the set | |
| clear() | Removes all the elements from the set | |
| copy() | Returns a copy of the set | |
| difference() | - | Returns a set containing the difference between two or more sets |
| difference_update() | -= | Removes the items in this set that are also included in another, specified set |
| discard() | Remove the specified item | |
| intersection() | & | Returns a set, that is the intersection of two other sets |
| intersection_update() | &= | Removes the items in this set that are not present in other, specified set(s) |
| isdisjoint() | Returns whether two sets have a intersection or not | |
| issubset() | <= | Returns True if all items of this set is present in another set |
| < | Returns True if all items of this set is present in another, larger set | |
| issuperset() | >= | Returns True if all items of another set is present in this set |
| > | Returns True if all items of another, smaller set is present in this set | |
| pop() | Removes an element from the set | |
| remove() | Removes the specified element | |
| symmetric_difference() | ^ | Returns a set with the symmetric differences of two sets |
| symmetric_difference_update() | ^= | Inserts the symmetric differences from this set and another |
| union() | | | Return a set containing the union of sets |
| update() | |= | Update the set with the union of this set and others |