Swipe to show menu

Dictionary Comprehension with Condition

You can add a condition in a dictionary comprehension to filter items dynamically while creating the dictionary. The syntax for a dictionary comprehension with a condition is:


python


              12345678910111213141516
            
travel_wishlist = [
    ['Paris', 'France', 2000],
    ['Tokyo', 'Japan', 3000],
    ['New York', 'USA', 2500],
    ['Kyoto', 'Japan', 1500],
    ['Sydney', 'Australia', 4000]
]

# Filter destinations within a $2500 budget using a for loop
affordable_destinations = {}

for city, country, budget in travel_wishlist:
    if budget <= 2500:  # Check if the budget is within the limit
        affordable_destinations[city] = budget

print(affordable_destinations)

This code iterates through the travel_wishlist list, checking if each destination’s budget is less than or equal to $2500. If the condition is met, the city and its budget are added to the affordable_destinations dictionary.


              123456789101112
            
travel_wishlist = [
    ['Paris', 'France', 2000],
    ['Tokyo', 'Japan', 3000],
    ['New York', 'USA', 2500],
    ['Kyoto', 'Japan', 1500],
    ['Sydney', 'Australia', 4000]
]

# Use dictionary comprehension to filter destinations
affordable_destinations = {city: budget for city, country, budget in travel_wishlist if budget <= 2500}

print(affordable_destinations)  # Output: {'Paris': 2000, 'New York': 2500, 'Kyoto': 1500}

This example achieves the same result as the previous one but in a more concise and elegant way. The condition if budget <= 2500 filters the destinations based on the budget, and the resulting dictionary includes only the affordable destinations.

Task

Swipe to start coding

A traveler wants to filter their travel_wishlist to include only destinations in Japan. To achieve this efficiently, you need to extract relevant city-budget pairs into a dictionary.

Filter the travel_wishlist to include only destinations where the country is "Japan".
Store the resulting dictionary in japan_destinations.

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!

Section 4. Chapter 4

Ask AI

Ask anything or try one of the suggested questions to begin our chat

Dictionary Comprehension with Condition

You can add a condition in a dictionary comprehension to filter items dynamically while creating the dictionary. The syntax for a dictionary comprehension with a condition is:


python


              12345678910111213141516
            
travel_wishlist = [
    ['Paris', 'France', 2000],
    ['Tokyo', 'Japan', 3000],
    ['New York', 'USA', 2500],
    ['Kyoto', 'Japan', 1500],
    ['Sydney', 'Australia', 4000]
]

# Filter destinations within a $2500 budget using a for loop
affordable_destinations = {}

for city, country, budget in travel_wishlist:
    if budget <= 2500:  # Check if the budget is within the limit
        affordable_destinations[city] = budget

print(affordable_destinations)


              123456789101112
            
travel_wishlist = [
    ['Paris', 'France', 2000],
    ['Tokyo', 'Japan', 3000],
    ['New York', 'USA', 2500],
    ['Kyoto', 'Japan', 1500],
    ['Sydney', 'Australia', 4000]
]

# Use dictionary comprehension to filter destinations
affordable_destinations = {city: budget for city, country, budget in travel_wishlist if budget <= 2500}

print(affordable_destinations)  # Output: {'Paris': 2000, 'New York': 2500, 'Kyoto': 1500}

Task

Swipe to start coding

A traveler wants to filter their travel_wishlist to include only destinations in Japan. To achieve this efficiently, you need to extract relevant city-budget pairs into a dictionary.

Filter the travel_wishlist to include only destinations where the country is "Japan".
Store the resulting dictionary in japan_destinations.

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!

Section 4. Chapter 4

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