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List Comprehansions with Conditions

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

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 Comprehansions with Conditions

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

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

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Swipe to show menu

List Comprehansions with Conditions

Solution

Awesome!

List Comprehansions with Conditions

Solution

Awesome!