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{
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"cell_type": "markdown",
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"metadata": {},
"source": [
"# Lab | Functions"
]
},
{
"cell_type": "markdown",
"id": "0c581062-8967-4d93-b06e-62833222f930",
"metadata": {
"tags": []
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"source": [
"## Exercise: Managing Customer Orders with Functions\n",
"\n",
"In the previous exercise, you improved the code for managing customer orders by using loops and flow control. Now, let's take it a step further and refactor the code by introducing functions.\n",
"\n",
"Follow the steps below to complete the exercise:\n",
"\n",
"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",
"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",
"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",
"\n",
"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",
"\n",
"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",
"7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
"\n",
"Hints for functions:\n",
"\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",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "61865a0e",
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "could not convert string to float: ''",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mValueError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[21]\u001b[39m\u001b[32m, line 17\u001b[39m\n\u001b[32m 10\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m inventory\n\u001b[32m 12\u001b[39m \u001b[38;5;66;03m# You cannot use return print(inventory) bc the function won´t allow you to use the inventory in other lines of the code \u001b[39;00m\n\u001b[32m 13\u001b[39m \u001b[38;5;66;03m# is better to print it out of the function always\u001b[39;00m\n\u001b[32m 14\u001b[39m \n\u001b[32m 15\u001b[39m \u001b[38;5;66;03m#We always call the function after we run it to save it and python can recognise it\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m17\u001b[39m inventory=\u001b[43minitialize_inventory\u001b[49m\u001b[43m(\u001b[49m\u001b[43mproducts\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;66;03m#We define inventory in our code after we define the function so python can recognise it\u001b[39;00m\n\u001b[32m 21\u001b[39m \u001b[38;5;28mprint\u001b[39m(inventory) \n",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[21]\u001b[39m\u001b[32m, line 7\u001b[39m, in \u001b[36minitialize_inventory\u001b[39m\u001b[34m(products)\u001b[39m\n\u001b[32m 5\u001b[39m inventory={}\n\u001b[32m 6\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m product \u001b[38;5;129;01min\u001b[39;00m products:\n\u001b[32m----> \u001b[39m\u001b[32m7\u001b[39m quantity=\u001b[38;5;28;43mfloat\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m(\u001b[49m\u001b[33;43mf\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mPlease enter the quantity for \u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43mproduct\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 8\u001b[39m \u001b[38;5;66;03m#here we are defining that product is the key on the dictionary and quantity is the value\u001b[39;00m\n\u001b[32m 9\u001b[39m inventory[product]=quantity\n",
"\u001b[31mValueError\u001b[39m: could not convert string to float: ''"
]
}
],
"source": [
"products=[\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"]\n",
" \n",
"\n",
"def initialize_inventory(products):\n",
" inventory={}\n",
" for product in products:\n",
" quantity=float(input(f\"Please enter the quantity for {product}\"))\n",
" #here we are defining that product is the key on the dictionary and quantity is the value\n",
" inventory[product]=quantity\n",
" return inventory\n",
"\n",
"# You cannot use return print(inventory) bc the function won´t allow you to use the inventory in other lines of the code \n",
"# is better to print it out of the function always\n",
"\n",
"#We always call the function after we run it to save it and python can recognise it\n",
"\n",
"inventory=initialize_inventory(products)\n",
"\n",
"#We define inventory in our code after we define the function so python can recognise it\n",
"\n",
"print(inventory) "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6cdcd4bb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'mug'}\n"
]
}
],
"source": [
"def get_customer_orders(products):\n",
" customers_orders=set()\n",
" another=\"yes\"\n",
" another.lower()\n",
" while another==\"yes\":\n",
" order_product=input(\"Please choose an item from the product list\")\n",
" if order_product not in products:\n",
" print(\"This product is not available\")\n",
" continue\n",
" if order_product in customers_orders:\n",
" print(\"You already selected this product\")\n",
" continue\n",
" customers_orders.add(order_product)\n",
" another = input(\"Do you want to add another product? (yes/no): \")\n",
" return customers_orders\n",
"\n",
"customers_orders=get_customer_orders(products)\n",
"print(customers_orders)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ecef3c4b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 5.0, 'mug': 4.0, 'hat': 2.0, 'book': 5.0, 'keychain': 5.0}\n"
]
}
],
"source": [
"def update_inventory(customers_orders,inventory):\n",
" # This function remove all the products that the customer ordered from the original inventory\n",
" updated_inventory={}\n",
" # For every product that client ordered we remove one from the inventory:\n",
" for products in customers_orders:\n",
" if products in inventory:\n",
" inventory[products]-=1\n",
" return inventory\n",
"\n",
"# We have to return inventory and it will be updated with the condictions that we put in our function\n",
"\n",
"updated_inventory=update_inventory(customers_orders, inventory)\n",
"\n",
"print(updated_inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1c7550d0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(2, 40.0)\n"
]
}
],
"source": [
"def calculate_order_statistics(customers_orders,products):\n",
" total_products_ordered=len(customers_orders)\n",
" \n",
" percentage_products_ordered=(len(customers_orders)/len(products))*100\n",
" \n",
" return (total_products_ordered,percentage_products_ordered)\n",
"\n",
"# it can return more than two things\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0325d331",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" total_ordered, unique_products, percentage_unique = order_statistics\n",
" print(f\"Total products ordered: {total_ordered}\")\n",
" print(f\"Percentage of unique products: {percentage_unique:.2f}%\")\n",
" print(\"order_statistics\")\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "f801c30a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Your inventory after the order is: {'t-shirt': 5.0, 'mug': 4.0, 'hat': 2.0, 'book': 5.0, 'keychain': 5.0}\n"
]
}
],
"source": [
"def print_updated_inventory(inventory):\n",
" print(f\"Your inventory after the order is: {updated_inventory}\")\n",
"\n",
"print_updated_inventory(inventory)\n"
]
}
],
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