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lab done #587

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174 changes: 171 additions & 3 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@
"\n",
"2. Define a function named `get_customer_orders` that takes no parameters. Inside the function, implement the code for prompting the user to enter the product names using a loop. The function should return the `customer_orders` set.\n",
"\n",
"\n",
"3. Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters. Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n",
"\n",
"4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). The function should return these values.\n",
Expand All @@ -39,15 +40,182 @@
"\n",
"- Consider the input parameters required for each function and their return values.\n",
"- Utilize function parameters and return values to transfer data between functions.\n",
"- Test your functions individually to ensure they work correctly.\n",
"- Test your functions individually to ensure they work correctly."
]
},
{
"cell_type": "markdown",
"id": "8c863854",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": 10,
"id": "93a2665d",
"metadata": {},
"outputs": [],
"source": [
"#1. Define a function named `initialize_inventory` that takes `products` as a parameter. Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n",
"\n",
"products = []\n",
"\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" inventory[product] = int(input(\"Enter the number of \" + product + \"s: \"))\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "475e6175",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer Orders: {'book', 'mug'}\n"
]
}
],
"source": [
"#2. Define a function named `get_customer_orders` that takes no parameters. Inside the function, implement the code for prompting the user to enter the product names using a loop. The function should return the `customer_orders` set.\n",
"\n",
"def get_customer_orders():\n",
" customer_orders = set()\n",
"\n",
" while True:\n",
" order = input(\"Enter the name of a product that a customer wants to order: \").strip()\n",
"\n",
" if order:\n",
" customer_orders.add(order) # Add the product to the set\n",
" else:\n",
" print(\"Invalid input: Order cannot be empty.\")\n",
"\n",
" another = input(\"Do you want to add another product? (yes/no): \").strip().lower()\n",
" if another != 'yes':\n",
" break\n",
"\n",
" return customer_orders\n",
"\n",
"customer_orders = get_customer_orders()\n",
"print(\"Customer Orders:\", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "467b43a7",
"metadata": {},
"outputs": [],
"source": [
"#3. Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters. Inside the function, implement the code for updating the \n",
"# inventory dictionary based on the customer orders.\n",
"\n",
"def update_inventory(customer_orders,inventory):\n",
" for product in customer_orders:\n",
" if product in inventory and inventory[product] > 0:\n",
" inventory[product] -= 1\n",
" else:\n",
" print(\"No more \" + product + \"s left in inventory or invalid product.\")\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "396159e4",
"metadata": {},
"outputs": [],
"source": [
"#4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. \n",
"# Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). The function should return these values.\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
" # Calculate total number of unique products ordered\n",
" total_products_ordered = len(customer_orders)\n",
" \n",
" # Calculate percentage of unique products ordered\n",
" percentage_products_ordered = (total_products_ordered / len(products)) * 100\n",
" \n",
" return total_products_ordered, percentage_products_ordered"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "8fce65f2",
"metadata": {},
"outputs": [],
"source": [
"#5. Define a function named `print_order_statistics` that takes `order_statistics` as a parameter. Inside the function, implement the code for printing the order statistics.\n",
"def print_order_statistics(order_statistics):\n",
" total, percentage = order_statistics\n",
" print(\"Order Statistics:\")\n",
" print(\"Total Products Ordered:\", total)\n",
" print(\"Percentage of Unique Products Ordered:\", percentage, \"%\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "475fc7ed",
"metadata": {},
"outputs": [],
"source": [
"#6. Define a function named `print_updated_inventory` that takes `inventory` as a parameter. Inside the function, implement the code for printing the updated inventory.\n",
"\n",
"def print_updated_inventory(inventory):\n",
" print(\"Updated Inventory:\")\n",
" for product in inventory:\n",
" print(product + \"s: \" + str(inventory[product]))\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "84b31b06",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 2\n",
"Percentage of Unique Products Ordered: 40.0 %\n",
"Updated Inventory:\n",
"t-shirts: 4\n",
"mugs: 6\n",
"hats: 6\n",
"books: 4\n",
"keychains: 3\n"
]
}
],
"source": [
"#7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
"\n",
"\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders()\n",
"update_inventory(customer_orders, inventory)\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"print_order_statistics(order_statistics)\n",
"print_updated_inventory(inventory)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +229,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
Expand Down