List Comprehensions
List comprehensions are a powerful way to create new lists by combining loops and optional conditions into a single, concise statement. They provide a more Pythonic way to perform operations on lists, making your code cleaner and easier to read.
Let's start with a simple example. You have a travel_wishlist containing cities you want to visit, each represented as a nested list with its name, country, and trip cost.
12345678910111213travel_wishlist = [ ['Paris', 'France', 2000], ['Tokyo', 'Japan', 3000], ['New York', 'USA', 2500], ['Kyoto', 'Japan', 1500], ['Sydney', 'Australia', 4000] ] city_names = [] # New empty list for city in travel_wishlist: city_names.append(city[0]) print(city_names)
Here, the list comprehension does the same job in a single line, making it concise and readable.
1234567891011travel_wishlist = [ ['Paris', 'France', 2000], ['Tokyo', 'Japan', 3000], ['New York', 'USA', 2500], ['Kyoto', 'Japan', 1500], ['Sydney', 'Australia', 4000] ] city_names = [city[0] for city in travel_wishlist] print(city_names)
- The
travel_wishlistis a list of lists, where each inner list contains the city name, country, and estimated budget for a trip; - The code
[city[0] for city in travel_wishlist]creates a new list by extracting the first element (city[0], the city name) from each inner list intravel_wishlist.
Swipe to start coding
You are managing a travel_wishlist, where each destination is represented as a list containing multiple details. Your goal is to extract only the trip costs from each destination and store them separately.
- Iterate through the wishlist, accessing each destination's details.
- Extract the trip cost, which is the third element in each destination's list.
- Store the extracted costs in a new list called
trip_costs.
Solution
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List comprehensions are a powerful way to create new lists by combining loops and optional conditions into a single, concise statement. They provide a more Pythonic way to perform operations on lists, making your code cleaner and easier to read.
Let's start with a simple example. You have a travel_wishlist containing cities you want to visit, each represented as a nested list with its name, country, and trip cost.
12345678910111213travel_wishlist = [ ['Paris', 'France', 2000], ['Tokyo', 'Japan', 3000], ['New York', 'USA', 2500], ['Kyoto', 'Japan', 1500], ['Sydney', 'Australia', 4000] ] city_names = [] # New empty list for city in travel_wishlist: city_names.append(city[0]) print(city_names)
Here, the list comprehension does the same job in a single line, making it concise and readable.
1234567891011travel_wishlist = [ ['Paris', 'France', 2000], ['Tokyo', 'Japan', 3000], ['New York', 'USA', 2500], ['Kyoto', 'Japan', 1500], ['Sydney', 'Australia', 4000] ] city_names = [city[0] for city in travel_wishlist] print(city_names)
- The
travel_wishlistis a list of lists, where each inner list contains the city name, country, and estimated budget for a trip; - The code
[city[0] for city in travel_wishlist]creates a new list by extracting the first element (city[0], the city name) from each inner list intravel_wishlist.
Swipe to start coding
You are managing a travel_wishlist, where each destination is represented as a list containing multiple details. Your goal is to extract only the trip costs from each destination and store them separately.
- Iterate through the wishlist, accessing each destination's details.
- Extract the trip cost, which is the third element in each destination's list.
- Store the extracted costs in a new list called
trip_costs.
Solution
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