Skip to content

Completed lab #688

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
MartaMX wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Completed lab #688

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
375 changes: 375 additions & 0 deletions .ipynb_checkpoints/lab-python-functions-checkpoint.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,375 @@
{
"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": "markdown",
"id": "ce063cd0-d24a-482f-aebf-e168f0e36d30",
"metadata": {},
"source": [
"#### Define a function named initialize_inventory that takes products as a parameter.\n",
"Inside the function, implement the code for initializing the inventory dictionary using a loop and user input."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "bcad9975-71d8-4dac-9a1f-13b3167c53b9",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please tell me the number of t-shirts: 10\n",
"Please tell me the number of mugs: 10\n",
"Please tell me the number of hats: 10\n",
"Please tell me the number of books: 10\n",
"Please tell me the number of keychains: 10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"\n",
"def initialize_inventory (products):\n",
" for product in products:\n",
" inventory[product]=int(input(f'Please tell me the number of {product}s: '))\n",
" print(inventory)\n",
"\n",
"initialize_inventory(products)"
]
},
{
"cell_type": "markdown",
"id": "3414a8b2-68d7-4e25-be50-37b9fbb838c7",
"metadata": {},
"source": [
"#### Define a function named get_customer_orders that takes no parameters.\n",
"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"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "98e1c414-1562-4c09-ac4f-53a11071a70f",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Do you want to order a t-shirt? respond yes or no yes\n",
"How many t-shirts do you want? Currently there are 10 available. 2\n",
"Do you want to order something else? no\n"
]
}
],
"source": [
"customer_orders = set()\n",
"total_products_ordered = {}\n",
"\n",
"def get_customer_orders():\n",
" order_is_complete = False\n",
" \n",
" while order_is_complete == False:\n",
" for product in products:\n",
" wants_product_request = input(f'Do you want to order a {product}? respond yes or no').lower()\n",
" if (wants_product_request == \"yes\"):\n",
" customer_orders.add(product)\n",
" quantity_request = input(f'How many {product}s do you want? Currently there are {inventory[product]} available.')\n",
" total_products_ordered[product] = int(quantity_request)\n",
" # elif wants_product_request == \"no\":\n",
" \n",
" wants_another_product = input(f'Do you want to order something else? respond yes or no').lower()\n",
" if (wants_another_product == \"no\"):\n",
" order_is_complete = True\n",
" break\n",
" return customer_orders\n",
" \n",
"customer_orders= get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "cfe01b73-97ff-447b-833c-414df8ca5678",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt'}\n",
"{'t-shirt': 2}\n"
]
}
],
"source": [
"print(customer_orders)\n",
"print(total_products_ordered)"
]
},
{
"cell_type": "markdown",
"id": "625aa077-2486-469a-9bda-ce38eae376b4",
"metadata": {},
"source": [
"#### Define a function named update_inventory that takes customer_orders and inventory as parameters.\n",
"Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "6a57559b-1f0b-41c3-95f4-db8bf6bfd8b4",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(inventory,total_products_ordered):\n",
" for product in total_products_ordered:\n",
" inventory[product]=inventory[product]-total_products_ordered[product]\n",
"\n",
"update_inventory(inventory,total_products_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "9661863a-90f2-407e-92ac-0cc9cd17db92",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 2}\n",
"{'t-shirt': 8, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n"
]
}
],
"source": [
"print(total_products_ordered)\n",
"print(inventory)"
]
},
{
"cell_type": "markdown",
"id": "e77a8fe7-8375-4545-a164-d61493c6234b",
"metadata": {},
"source": [
"#### 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"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "08403420-ee0a-466c-81b4-7b99fe1e2c4e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 0.2, 'mug': 0, 'hat': 0, 'book': 0, 'keychain': 0}"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def calculate_order_statistics(inventory,total_products_ordered):\n",
" statistics = {}\n",
"\n",
" for product in inventory:\n",
" if product in total_products_ordered:\n",
" statistics[product]= total_products_ordered[product]/(inventory[product]+total_products_ordered[product])\n",
" #print(f'for {product}: {total_products_ordered[product]} / {(inventory[product]+total_products_ordered[product])}')\n",
" else:\n",
" statistics[product]= 0\n",
" \n",
" return statistics\n",
"\n",
"calculate_order_statistics(inventory,total_products_ordered)"
]
},
{
"cell_type": "markdown",
"id": "2c9bb52b-5010-4b27-90b4-0988de3ea7c1",
"metadata": {},
"source": [
"#### Define a function named print_order_statistics that takes order_statistics as a parameter.\n",
"Inside the function, implement the code for printing the order statistics.\n"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "ed75f1db-6c2a-4464-a019-c150b4e1d401",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"T-shirt\n",
"Total Products Ordered: 2\n",
"Percentage of Products Ordered: : 0.2\n",
"\n",
"Mug\n",
"Total Products Ordered: 0\n",
"Percentage of Products Ordered: : 0\n",
"\n",
"Hat\n",
"Total Products Ordered: 0\n",
"Percentage of Products Ordered: : 0\n",
"\n",
"Book\n",
"Total Products Ordered: 0\n",
"Percentage of Products Ordered: : 0\n",
"\n",
"Keychain\n",
"Total Products Ordered: 0\n",
"Percentage of Products Ordered: : 0\n",
"\n"
]
}
],
"source": [
"statistics = calculate_order_statistics(inventory,total_products_ordered)\n",
"\n",
"def print_order_statistics(total_products_ordered,statistics):\n",
" for product in inventory:\n",
" if product in total_products_ordered: \n",
" print(product.capitalize())\n",
" print(f'Total Products Ordered: {total_products_ordered[product]}')\n",
" print(f'Percentage of Products Ordered: : {statistics[product]}\\n')\n",
" else:\n",
" print(product.capitalize())\n",
" print(f'Total Products Ordered: 0')\n",
" print(f'Percentage of Products Ordered: : 0\\n')\n",
"\n",
"print_order_statistics(total_products_ordered,statistics)"
]
},
{
"cell_type": "markdown",
"id": "3f90a120-a0ec-4240-ad40-cb93df0676bb",
"metadata": {},
"source": [
"#### Define a function named print_updated_inventory that takes inventory "
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "cf60cd4d-2e64-4b07-b6ef-6837ab2ccdb8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"T-shirts: 8\n",
"\n",
"Mugs: 10\n",
"\n",
"Hats: 10\n",
"\n",
"Books: 10\n",
"\n",
"Keychains: 10\n",
"\n"
]
}
],
"source": [
"def print_updated_inventory(inventory):\n",
" for product in inventory:\n",
" print(f'{product.capitalize()}s: {inventory[product]}\\n')\n",
"print_updated_inventory(inventory) "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cd087340-9209-49d1-a7d8-18b9722dc0c2",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.14.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Loading