Sorting and Filtering Data
When you want to organize information in Python, sorting and filtering are two essential techniques. Sorting helps you arrange items in a particular order, such as placing your most urgent tasks at the top of your to-do list. Filtering, on the other hand, allows you to pick out only the items that match certain criteria, like finding all expenses above a certain amount. The sorted() function and list comprehensions are two powerful tools that make these tasks quick and easy.
123456789101112# Suppose you have a list of tasks, each with a priority value. tasks = [ {"task": "Finish report", "priority": 2}, {"task": "Buy groceries", "priority": 3}, {"task": "Pay bills", "priority": 1} ] # Sort the tasks by their priority (lowest number = highest priority) sorted_tasks = sorted(tasks, key=lambda x: x["priority"]) for t in sorted_tasks: print(f'{t["task"]} (Priority {t["priority"]})')
Filtering is just as useful as sorting. With filtering, you can create a new list that contains only the items you care about. For example, if you want to see which of your expenses are above $50, you can use a list comprehension to quickly get that information.
1234567# List of expenses in dollars expenses = [23.50, 75.00, 19.99, 120.00, 45.00] # Find all expenses above $50 large_expenses = [expense for expense in expenses if expense > 50] print("Expenses above $50:", large_expenses)
1. What does the sorted() function return?
2. How can you filter a list to include only items that meet a condition?
3. Fill in the blanks to filter a list for values greater than a threshold.
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Can you explain how the sorted() function works in more detail?
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When you want to organize information in Python, sorting and filtering are two essential techniques. Sorting helps you arrange items in a particular order, such as placing your most urgent tasks at the top of your to-do list. Filtering, on the other hand, allows you to pick out only the items that match certain criteria, like finding all expenses above a certain amount. The sorted() function and list comprehensions are two powerful tools that make these tasks quick and easy.
123456789101112# Suppose you have a list of tasks, each with a priority value. tasks = [ {"task": "Finish report", "priority": 2}, {"task": "Buy groceries", "priority": 3}, {"task": "Pay bills", "priority": 1} ] # Sort the tasks by their priority (lowest number = highest priority) sorted_tasks = sorted(tasks, key=lambda x: x["priority"]) for t in sorted_tasks: print(f'{t["task"]} (Priority {t["priority"]})')
Filtering is just as useful as sorting. With filtering, you can create a new list that contains only the items you care about. For example, if you want to see which of your expenses are above $50, you can use a list comprehension to quickly get that information.
1234567# List of expenses in dollars expenses = [23.50, 75.00, 19.99, 120.00, 45.00] # Find all expenses above $50 large_expenses = [expense for expense in expenses if expense > 50] print("Expenses above $50:", large_expenses)
1. What does the sorted() function return?
2. How can you filter a list to include only items that meet a condition?
3. Fill in the blanks to filter a list for values greater than a threshold.
Bedankt voor je feedback!
