List comprehension Python if-else

List comprehension Python if-else

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List Comprehension with If-Else Statement in Python:

Python's list comprehension is a powerful feature that allows you to create a new list from an existing iterable by applying some transformation or filtering operation to each element. You can also use if-else statements within the comprehension to filter out certain elements based on conditions.

Here are some examples of using if-else with list comprehensions:

Example 1: Filtering Odd Numbers

numbers = [1, 2, 3, 4, 5, 6]
result = [x for x in numbers if x % 2 != 0]
print(result)  # Output: [1, 3, 5]

In this example, the list comprehension uses an if statement to filter out even numbers. The resulting list contains only odd numbers.

Example 2: Converting Strings to Uppercase

strings = ['hello', 'world', 'python']
result = [s.upper() for s in strings]
print(result)  # Output: ['HELLO', 'WORLD', 'PYTHON']

Here, the list comprehension uses an if-else statement to convert each string to uppercase. The resulting list contains the converted strings.

Example 3: Filtering Large Numbers

numbers = [1, 2, 10, 20, 30, 40]
result = [x for x in numbers if x > 5 and x % 2 == 0]
print(result)  # Output: [10, 20, 30, 40]

In this example, the list comprehension uses an if-else statement to filter out numbers that are less than or equal to 5. It also filters out odd numbers. The resulting list contains only large even numbers.

Example 4: Custom Filtering

students = [{'name': 'John', 'age': 18}, {'name': 'Jane', 'age': 20}]
result = [student for student in students if student['age'] >= 18]
print(result)  # Output: [{'name': 'John', 'age': 18}, {'name': 'Jane', 'age': 20}]

Here, the list comprehension uses an if-else statement to filter out students who are under 18 years old. The resulting list contains only students of legal age.

Conclusion:

List comprehensions with if-else statements in Python provide a concise and expressive way to filter or transform data. By combining these two features, you can create powerful data processing pipelines that simplify your code and improve performance. Whether you're working with numbers, strings, or complex objects, list comprehensions offer a flexible and efficient solution for your data manipulation needs.

Nested list comprehension Python

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