You are viewing a single comment's thread from:
RE: Payment for Coding done
Budget Planning: If you're planning a trip, having access to historical flight price data can help you estimate and budget for your travel expenses. You can identify trends in prices for specific destinations and plan your trip during periods of lower fares.
Example usage
destination = "Paris"
average_price = calculate_average_price(flight_data, destination)
if average_price is not None:
print(f"Average flight price to {destination} is ${average_price:.2f}")
else:
print(f"No data available for {destination}")
Function to calculate average flight price for a destination
def calculate_average_price(flight_data, destination):
prices = [flight["price"] for flight in flight_data if flight["destination"] == destination]
if not prices:
return None
return sum(prices) / len(prices)
In this script:
flight_data represents the sample flight price data. You can replace this with your actual data or fetch it through web scraping or an API.
The calculate_average_price function calculates the average flight price for a specific destination based on the provided dataset.
Sample flight price data (You can replace this with your actual data)
flight_data = [
{"destination": "Paris", "date": "2023-09-01", "price": 500},
{"destination": "Paris", "date": "2023-09-02", "price": 480},
{"destination": "Paris", "date": "2023-09-03", "price": 520},
{"destination": "Paris", "date": "2023-09-04", "price": 490},
{"destination": "Paris", "date": "2023-09-05", "price": 510},
# Add more flight data here...
]