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Set Methods in Python

 

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Set Methods in Python

A set is an unordered collection of unique elements. Python provides several built-in methods for manipulating sets:

1. add()

Adds an element to the set if it is not already present.


# Define a set
fruits = {'apple', 'banana', 'cherry'}

# Add an element to the set
fruits.add('orange')
print(fruits)  # Output: {'banana', 'cherry', 'orange', 'apple'}

2. remove()

Removes the specified element from the set. Raises a KeyError if the element is not present.


# Remove an element from the set
fruits.remove('banana')
print(fruits)  # Output: {'apple', 'cherry', 'orange'}

3. discard()

Removes the specified element from the set if it is present. Does not raise an error if the element is not present.


# Discard an element from the set
fruits.discard('grape')
print(fruits)  # Output: {'apple', 'cherry', 'orange'}

4. pop()

Removes and returns an arbitrary element from the set. Raises a KeyError if the set is empty.


# Remove an arbitrary element from the set
removed_item = fruits.pop()
print(removed_item)  # Output: apple
print(fruits)  # Output: {'cherry', 'orange'}

5. clear()

Removes all elements from the set.


# Clear the set
fruits.clear()
print(fruits)  # Output: set()

6. union()

Returns a new set containing all elements from the original set and the specified set(s).


# Define another set
more_fruits = {'banana', 'grape'}

# Perform union operation
combined_fruits = fruits.union(more_fruits)
print(combined_fruits)  # Output: {'banana', 'grape', 'cherry', 'orange'}

7. intersection()

Returns a new set containing only the elements that are present in both sets.


# Perform intersection operation
common_fruits = fruits.intersection(more_fruits)
print(common_fruits)  # Output: {'banana'}

8. difference()

Returns a new set containing the elements that are present in the original set but not in the specified set(s).


# Perform difference operation
unique_fruits = fruits.difference(more_fruits)
print(unique_fruits)  # Output: {'cherry', 'orange'}

9. symmetric_difference()

Returns a new set containing the elements that are present in either set, but not both.


# Perform symmetric difference operation
symmetric_diff = fruits.symmetric_difference(more_fruits)
print(symmetric_diff)  # Output: {'cherry', 'orange', 'grape'}

10. isdisjoint()

Returns True if two sets have no elements in common.


# Check if sets are disjoint
disjoint = fruits.isdisjoint(more_fruits)
print(disjoint)  # Output: False

11. issubset()

Returns True if all elements of one set are present in another set.


# Check if a set is a subset
subset = fruits.issubset(combined_fruits)
print(subset)  # Output: True

12. issuperset()

Returns True if all elements of one set are present in another set.


# Check if a set is a superset
superset = combined_fruits.issuperset(fruits)
print(superset)  # Output: True
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