Python 3.6编程需求：编写命令行程序收集两个完整地址输入

Hey there, here's a clean, straightforward implementation that checks all your boxes. We'll use a helper function to avoid repeating code for both addresses, and make sure street numbers and zip codes are stored as numerical types:

def get_address(address_number):
    """Collects and returns a single address as a dictionary"""
    print(f"\n--- Enter Address {address_number} ---")
    name = input("Full Name: ")
    # Convert street number to integer
    street_number = int(input("Street Number: "))
    street_name = input("Street Name: ")
    city = input("City: ")
    state = input("State: ")
    # Convert zip code to integer
    zip_code = int(input("ZIP Code: "))
    
    # Return address as a dictionary for easy storage and access
    return {
        "name": name,
        "street_number": street_number,
        "street_name": street_name,
        "city": city,
        "state": state,
        "zip_code": zip_code
    }

# Collect both addresses
address1 = get_address(1)
address2 = get_address(2)

# Print the stored addresses in a readable format
print("\n--- Stored Addresses ---")
print(f"Address 1:\n{address1['name']}\n{address1['street_number']} {address1['street_name']}\n{address1['city']}, {address1['state']} {address1['zip_code']}")
print("\nAddress 2:\n{name}\n{street_number} {street_name}\n{city}, {state} {zip_code}".format(**address2))

Key Details: #

• Helper Function: get_address() handles collecting a single address, so we don't write duplicate code for the two entries. It returns a dictionary, which is a clean way to group related address data.
• Numerical Types: We use int() to convert the street number and zip code input from strings to integers, fulfilling the requirement to store them as numerical types.
• Readable Output: The printed addresses are formatted like standard mailing addresses for clarity.
• Python 3.6 Compatibility: All syntax used here works perfectly in Python 3.6 (f-strings are supported in 3.6+, which we use for some print statements; the format() method is also included as an alternative if you prefer it).

Optional Robustness Add-On: #

If you want to handle cases where a user might enter non-numeric values for street number or zip code, you could add a try-except block to catch ValueError and prompt the user again. For example:

while True:
    try:
        street_number = int(input("Street Number: "))
        break
    except ValueError:
        print("Please enter a valid number for street number.")

This would make the program more resilient to user input errors, but it's optional based on your needs.

内容的提问来源于stack exchange，提问作者program123