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316 changes: 316 additions & 0 deletions .ipynb_checkpoints/lab-python-functions-checkpoint.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e",
"metadata": {},
"source": [
"# Lab | Functions"
]
},
{
"cell_type": "markdown",
"id": "0c581062-8967-4d93-b06e-62833222f930",
"metadata": {
"tags": []
},
"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": 11,
"id": "00f3e9ad-3228-4bf2-b321-336abf7da8c6",
"metadata": {},
"outputs": [],
"source": [
"# initializing the inventory dictionary \n",
"\n",
"def initialize_inventory(products): \n",
" '''\n",
" take a product list as parameter\n",
" ask user input of product quantity\n",
" return a inventory dictionary and a message to show customers what products we currently have\n",
" '''\n",
" inventory = {}\n",
" for p in products:\n",
" inventory[p] = int(input(f\"Please enter the quantity for product {p}:\" ))\n",
" \n",
" print(\"\\nWe have following products:\")\n",
" for count,product in list(enumerate(products,start = 1)):\n",
" print(count,product.upper())\n",
" \n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "f9e0d5d6-9805-4403-89a2-78b3052dda4e",
"metadata": {},
"outputs": [],
"source": [
"# create a customer order set\n",
"\n",
"\n",
"def get_customer_orders(inventory):\n",
" '''\n",
" take no arguments\n",
" prompting the user to enter the product names\n",
" return a customer orders set \n",
" '''\n",
" customer_orders = set()\n",
" print(\"\\nType the products and you want to order (type 'done' to finish).\")\n",
"\n",
" while True:\n",
" choice = input(\"\\nEnter product name: \") \n",
" if choice.lower() == \"done\":\n",
" break\n",
" else:\n",
" if choice not in inventory.keys():\n",
" print(\"Product does not exist in our inventory.Please re-enter.\")\n",
" continue\n",
" else:\n",
" customer_orders.add(choice) \n",
" \n",
" return customer_orders "
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "16e4a719-f046-48dc-9083-62746e705ed1",
"metadata": {},
"outputs": [],
"source": [
"# create a update inventory \n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
" '''\n",
" takes customer orders, initial inventory as parameters,\n",
" update inventory based on customer order\n",
" '''\n",
" for i in customer_orders:\n",
" inventory[i] -= 1\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "8cf10e0b-28a2-4949-8af9-9e38f1e7bd05",
"metadata": {},
"outputs": [],
"source": [
"\n",
"def calculate_order_statstics (customer_orders, products):\n",
" '''\n",
" takes customer order set and product list as parameters\n",
" calculate the total products ordered and percentage of products ordered\n",
" return their values\n",
" '''\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_of_products_ordered = total_products_ordered/len(products)*100\n",
" return total_products_ordered,percentage_of_products_ordered # tuple\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "e8617fc7-b42b-4e65-9a93-b0d5008761a1",
"metadata": {},
"outputs": [],
"source": [
"\n",
"def print_order_statistics(order_statistics):\n",
" '''\n",
" takes order statistics tuple as parameter\n",
" return a message to show values \n",
" ''' \n",
" print(\"\\nThe total number of unique products customer ordered is: \", order_statistics[0])\n",
" print(\"\\nThe percentage of products ordered is: \", order_statistics[1])\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "63791294-4df5-4bcb-a276-841efa4c76ac",
"metadata": {},
"outputs": [],
"source": [
"\n",
"def print_updated_inventory(updated_inventory):\n",
" '''\n",
" takes inventory dictionary as parameter\n",
" print out updated inventory\n",
" '''\n",
" print(\"\\nUpdated Inventory as follows:\")\n",
" for k,v in inventory.items():\n",
" print(k,\" \",v)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "5c74cb2a-3257-4e9e-a7f6-d800f0f5cc7f",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter the quantity for product t-shirt: 3\n",
"Please enter the quantity for product mug: 3\n",
"Please enter the quantity for product hat: 3\n",
"Please enter the quantity for product book: 3\n",
"Please enter the quantity for product keychain: 3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"We have following products:\n",
"1 T-SHIRT\n",
"2 MUG\n",
"3 HAT\n",
"4 BOOK\n",
"5 KEYCHAIN\n",
"\n",
"Type the products and you want to order (type 'done' to finish).\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"\n",
"Enter product name: m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Product does not exist in our inventory.Please re-enter.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"\n",
"Enter product name: m\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Product does not exist in our inventory.Please re-enter.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"\n",
"Enter product name: hat\n",
"\n",
"Enter product name: mug\n",
"\n",
"Enter product name: DONE\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"The total number of unique products customer ordered is: 2\n",
"\n",
"The percentage of products ordered is: 40.0\n",
"\n",
"Updated Inventory as follows:\n",
"t-shirt 3\n",
"mug 2\n",
"hat 2\n",
"book 3\n",
"keychain 3\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders(inventory)\n",
"\n",
"order_statistics = calculate_order_statstics(customer_orders,products) \n",
"print_order_statistics(order_statistics)\n",
"\n",
"updated_inventory = update_inventory(customer_orders,inventory)\n",
"print_updated_inventory(update_inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d275ecd6-2ed0-43d6-b197-0ff59e42eff5",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
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}
},
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"nbformat_minor": 5
}
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