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:
{key_expression: value_expression for item in iterable if condition}
12345678910111213141516travel_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 destinationβs 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.
123456789101112travel_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.
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
japanese_destinations
.
Solution
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Dictionary Comprehension with Condition
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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:
{key_expression: value_expression for item in iterable if condition}
12345678910111213141516travel_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 destinationβs 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.
123456789101112travel_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.
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
japanese_destinations
.
Solution
Thanks for your feedback!
Awesome!
Completion rate improved to 5single