In Python, you can map sets using functions like `map()` or by using set comprehensions. The `map()` function applies a specific function to each item of an iterable (like a set), while set comprehensions provide a more concise syntax for the same task. Below are examples demonstrating both approaches.
map sets, python mapping, set comprehension, python standard library, functional programming
This content explains how to map sets in Python using standard library methods, showcasing examples of set mapping techniques including the use of map and set comprehensions.
Example of using `map()` with a set:
```python
my_set = {1, 2, 3, 4}
squared_set = set(map(lambda x: x**2, my_set))
print(squared_set) # Output: {16, 1, 4, 9}
```
Example of using set comprehension:
```python
my_set = {1, 2, 3, 4}
squared_set = {x**2 for x in my_set}
print(squared_set) # Output: {16, 1, 4, 9}
```
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