Nested while Loop

You may need to organize or analyze data with multiple levels, such as tracking expenses for different trips. A nested while loop allows you to process these multi-dimensional scenarios efficiently when the number of iterations isn't predetermined.

Imagine you have multiple trips, and each trip has a list of expenses (flights, hotels, food, etc.). Using a nested while loop, you can calculate the total cost for each trip.


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# List of trips with their respective expenses
travel_costs = [
    [500, 200, 100, 150],  # Trip 1: Flights, Hotels, Food, Activities
    [600, 250, 120, 200],  # Trip 2: Flights, Hotels, Food, Activities
    [550, 180, 130, 170]   # Trip 3: Flights, Hotels, Food, Activities
]

# Initialize the outer loop to iterate over trips
i = 0
while i < len(travel_costs):
    total_cost = 0  # Reset the total cost for the current trip
    j = 0
    
    # Inner loop to iterate over expenses in each trip
    while j < len(travel_costs[i]):
        total_cost += travel_costs[i][j]  # Add the expense to the total cost
        j += 1
    
    # Print the total cost for the current trip
    print('Total cost for Trip', i + 1, ':', total_cost)
    i += 1  # Move to the next trip

Outer loop: while i < len(travel_costs) iterates through the list of trips, where each row represents the expenses for a single trip;
Inner loop: while j < len(travel_costs[i]) iterates through the expenses for the current trip, summing them up in the total_cost variable;
Print results: after summing up expenses for a trip, the program prints the total cost for that trip;
Move to the next trip: increment i to analyze the next trip until all trips are processed;
Final output: after the loop completes, print the trip number with the highest total cost and its value.

Task

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You are analyzing a dataset of travel costs, where each sublist represents the expenses for a single trip. Each trip includes various costs such as flights, hotels, food, and activities. Since expenses vary, you need to identify the highest expense for each trip to track major costs.

You are given a list travel_costs, where each sublist represents a single trip’s expenses.
For each trip, identify the highest expense.
Store the highest expenses in the max_costs list.

Solution

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Section 3. Chapter 2

Nested while Loop

Imagine you have multiple trips, and each trip has a list of expenses (flights, hotels, food, etc.). Using a nested while loop, you can calculate the total cost for each trip.


              123456789101112131415161718192021
            
# List of trips with their respective expenses
travel_costs = [
    [500, 200, 100, 150],  # Trip 1: Flights, Hotels, Food, Activities
    [600, 250, 120, 200],  # Trip 2: Flights, Hotels, Food, Activities
    [550, 180, 130, 170]   # Trip 3: Flights, Hotels, Food, Activities
]

# Initialize the outer loop to iterate over trips
i = 0
while i < len(travel_costs):
    total_cost = 0  # Reset the total cost for the current trip
    j = 0
    
    # Inner loop to iterate over expenses in each trip
    while j < len(travel_costs[i]):
        total_cost += travel_costs[i][j]  # Add the expense to the total cost
        j += 1
    
    # Print the total cost for the current trip
    print('Total cost for Trip', i + 1, ':', total_cost)
    i += 1  # Move to the next trip

Outer loop: while i < len(travel_costs) iterates through the list of trips, where each row represents the expenses for a single trip;
Inner loop: while j < len(travel_costs[i]) iterates through the expenses for the current trip, summing them up in the total_cost variable;
Print results: after summing up expenses for a trip, the program prints the total cost for that trip;
Move to the next trip: increment i to analyze the next trip until all trips are processed;
Final output: after the loop completes, print the trip number with the highest total cost and its value.

Task

Swipe to start coding

You are given a list travel_costs, where each sublist represents a single trip’s expenses.
For each trip, identify the highest expense.
Store the highest expenses in the max_costs 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!

Section 3. Chapter 2

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