Learn List Comprehansions with Conditions | List and Dictionary Comprehensions

List comprehensions allow you to filter and process elements efficiently. The syntax:

[expression for element in iterable if condition]

This syntax helps you create a new list by including only elements that meet a specified condition.


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travel_wishlist = [
    ['Paris', 'France', 2000],
    ['Tokyo', 'Japan', 3000],
    ['New York', 'USA', 2500],
    ['Kyoto', 'Japan', 1500],
    ['Sydney', 'Australia', 4000]
]

japanese_cities = []
for city in travel_wishlist:
    if city[1] == 'Japan':
        japanese_cities.append(city[0])

print(japanese_cities)  # Output: ['Tokyo', 'Kyoto']

This code uses a for loop and an if condition to iterate through travel_wishlist and check if the country is "Japan". If the condition is true, the city name is added to japanese_cities.


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travel_wishlist = [
    ['Paris', 'France', 2000],
    ['Tokyo', 'Japan', 3000],
    ['New York', 'USA', 2500],
    ['Kyoto', 'Japan', 1500],
    ['Sydney', 'Australia', 4000]
]

japanese_cities = [city[0] for city in travel_wishlist if city[1] == 'Japan']
print(japanese_cities)  # Output: ['Tokyo', 'Kyoto']

This example achieves the same result as the previous one but in a more concise way. The list comprehension extracts city names where the country is "Japan" in a single line of code.

Task

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You are managing a travel_wishlist, where each destination includes details such as the city name and estimated cost. Your goal is to create a filtered list of cities based on budget constraints.

Extract city names from travel_wishlist.
Include only cities where the estimated cost is less than $2500.
Use a list comprehension to achieve this efficiently.
Store the filtered city names in the affordable_cities list.

Solution

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Section 4. Chapter 2

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List comprehensions allow you to filter and process elements efficiently. The syntax:

[expression for element in iterable if condition]

This syntax helps you create a new list by including only elements that meet a specified condition.


              1234567891011121314
            
travel_wishlist = [
    ['Paris', 'France', 2000],
    ['Tokyo', 'Japan', 3000],
    ['New York', 'USA', 2500],
    ['Kyoto', 'Japan', 1500],
    ['Sydney', 'Australia', 4000]
]

japanese_cities = []
for city in travel_wishlist:
    if city[1] == 'Japan':
        japanese_cities.append(city[0])

print(japanese_cities)  # Output: ['Tokyo', 'Kyoto']

This code uses a for loop and an if condition to iterate through travel_wishlist and check if the country is "Japan". If the condition is true, the city name is added to japanese_cities.


              12345678910
            
travel_wishlist = [
    ['Paris', 'France', 2000],
    ['Tokyo', 'Japan', 3000],
    ['New York', 'USA', 2500],
    ['Kyoto', 'Japan', 1500],
    ['Sydney', 'Australia', 4000]
]

japanese_cities = [city[0] for city in travel_wishlist if city[1] == 'Japan']
print(japanese_cities)  # Output: ['Tokyo', 'Kyoto']

This example achieves the same result as the previous one but in a more concise way. The list comprehension extracts city names where the country is "Japan" in a single line of code.

Task

Swipe to start coding

Extract city names from travel_wishlist.
Include only cities where the estimated cost is less than $2500.
Use a list comprehension to achieve this efficiently.
Store the filtered city names in the affordable_cities list.

Solution

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Everything was clear?

Thanks for your feedback!

Section 4. Chapter 2

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List Comprehansions with Conditions

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List Comprehansions with Conditions

Solution

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