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New Solutions Functions Lab #454

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Solutions for Functions Lab
cfcuadrac Jul 10, 2025
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New Updates
cfcuadrac Jul 10, 2025
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309 changes: 309 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": []
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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"
]
},
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"cell_type": "code",
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"id": "514a8f03-d3b7-45a9-93e0-74390401228a",
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"source": [
"products = [\"tshirts\", \"mugs\", \"hats\", \"books\", \"keychains\"]\n",
"inventory = {}\n",
"\n",
"def initialize_inventory(products):\n",
" for items in products:\n",
" inventory[items] = int(input(f\"Amount of {items} available:\"))\n",
" return inventory"
]
},
{
"cell_type": "code",
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{
"name": "stdin",
"output_type": "stream",
"text": [
"Amount of tshirts available: 5\n",
"Amount of mugs available: 5\n",
"Amount of hats available: 5\n",
"Amount of books available: 5\n",
"Amount of keychains available: 5\n"
]
},
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"data": {
"text/plain": [
"{'tshirts': 5, 'mugs': 5, 'hats': 5, 'books': 5, 'keychains': 5}"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "988ef877-0568-4c1c-86a9-469a8e55f908",
"metadata": {},
"outputs": [],
"source": [
"customer_order = set()\n",
"def get_customer_order():\n",
" for product in [\"Product#1\", \"Product#2\", \"Product#3\"]:\n",
" new_order = input(f\"Enter the name of {product}: \")\n",
" customer_order.add(new_order)\n",
" return customer_order"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "440ecb01-7798-469e-b060-47e0007343d9",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of Product#1: mugs\n",
"Enter the name of Product#2: hats\n",
"Enter the name of Product#3: books\n"
]
},
{
"data": {
"text/plain": [
"{'books', 'hats', 'mugs'}"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_customer_order()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "0a0cf2d8-8709-46b3-9e7b-246922a265a7",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_order, inventory):\n",
" for item in customer_order:\n",
" inventory[item] -= 1\n",
" return print(\"New Updated Inventory:\", inventory)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "185fd629-b842-4964-b036-1473fcbb43cd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"New Updated Inventory: {'tshirts': 5, 'mugs': 4, 'hats': 4, 'books': 4, 'keychains': 5}\n"
]
}
],
"source": [
"update_inventory(customer_order, inventory)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "b4148b5a-1227-42f8-9449-7fe0c78b91f5",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_order, inventory):\n",
" total_available_products = sum(inventory.values())\n",
" total_products_ordered = len(customer_order)\n",
" percentage_ordered = (total_products_ordered / total_available_products)*100\n",
" return percentage_ordered, total_products_ordered"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "c468a698-769d-4e74-bee7-84d3089b2d6c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(13.636363636363635, 3)"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"calculate_order_statistics(customer_order, inventory)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "ad1b33e8-d26f-4e01-8f48-06cc658c7859",
"metadata": {},
"outputs": [],
"source": [
"percentage_ordered, total_products_ordered = calculate_order_statistics(customer_order, inventory)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "afce9c4c-1431-4337-b76d-3408b3d1019c",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" print(\"Total Products Ordered: \", total_products_ordered)\n",
" print(\"Percentage of Products Ordered:\", percentage_ordered,\"%\")\n",
" return percentage_ordered, total_products_ordered"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "543f3252-5529-4972-a9b9-1829854c80d3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 13.636363636363635 %\n"
]
},
{
"data": {
"text/plain": [
"(13.636363636363635, 3)"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "344b0ca2-5265-479d-a5c5-14fb0f3eefd8",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
" print(f\"This is the current updated inventory {inventory}\")"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "693e609d-5d95-4abf-8cb0-9b158adaa417",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"This is the current updated inventory {'tshirts': 5, 'mugs': 4, 'hats': 4, 'books': 4, 'keychains': 5}\n"
]
}
],
"source": [
"print_updated_inventory(inventory)"
]
}
],
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