Skip to content

zhiwen week1/day2/Lab | Functions v1.0 #668

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
mosijituo049 wants to merge 1 commit into
base: main
Choose a base branch
from
Open

zhiwen week1/day2/Lab | Functions v1.0 #668

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
190 changes: 190 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 +1,190 @@
{
"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": 7,
"id": "1f13f330-4a86-4801-bbd1-86b2277627ac",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"please enter the quantity of each product available.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"t-shirt: 8\n",
"mug: 1\n",
"hat: 5\n",
"book: 6\n",
"keychain: 7\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"inventory availible: {'t-shirt': 8, 'mug': 1, 'hat': 5, 'book': 6, 'keychain': 7}\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"which product do you want to buy: mug\n",
"do you want to buy another product? (y/n): y\n",
"which product do you want to buy: hat\n",
"do you want to buy another product? (y/n): y\n",
"which product do you want to buy: book\n",
"do you want to buy another product? (y/n): n\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered:3\n",
"Percentage of Products Ordered:60.00%\n",
"updated inventory: {'t-shirt': 8, 'mug': 0, 'hat': 4, 'book': 5, 'keychain': 7}\n"
]
}
],
"source": [
"products=[\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"]\n",
"\n",
"def initialize_inventory(products_list:list,ini_inventory={}) -> dict:\n",
" print(\"please enter the quantity of each product available.\")\n",
" for i in products:\n",
" quantity=int(input(i+\":\"))\n",
" while quantity<0:\n",
" quantity=int(input(\"please enter a new number that is not under 0:\"))\n",
" ini_inventory[i]=quantity\n",
" return ini_inventory\n",
" \n",
"def get_customer_orders():\n",
" customer_orders=set()\n",
" x=\"y\"\n",
" while x==\"y\":\n",
" customer_orders.add(input(\"which product do you want to buy:\"))\n",
" x=input(\"do you want to buy another product? (y/n):\")\n",
" return customer_orders\n",
"\n",
"def update_inventory(customer_orders,inventory):\n",
" for i in customer_orders:\n",
" if inventory[i]!= 0:\n",
" inventory[i]-=1\n",
"\n",
"def calculate_order_statistics(customer_orders,products):\n",
" total_products_ordered=len(customer_orders)\n",
" percentage_ordered=len(customer_orders)/len(products)\n",
" order_status=(total_products_ordered,percentage_ordered)\n",
" return order_status\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" print(f\"Order Statistics:\\nTotal Products Ordered:{order_statistics[0]}\\nPercentage of Products Ordered:{order_statistics[1]:.2%}\")\n",
"\n",
"def print_updated_inventory(inventory):\n",
" print(\"updated inventory:\",inventory)\n",
"\n",
"inventory=initialize_inventory(products)\n",
"print(\"inventory availible:\",inventory)\n",
"\n",
"customer_orders=get_customer_orders()\n",
"update_inventory(customer_orders,inventory)\n",
"\n",
"print_order_statistics(calculate_order_statistics(customer_orders,products))\n",
"\n",
"print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "61930678-7cbb-4d43-bc4d-fa39d5af463a",
"metadata": {},
"outputs": [],
"source": [
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1856cdb7-3759-4b85-b67d-f68d8b016bb3",
"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": "3.10.14"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
123 changes: 122 additions & 1 deletion lab-python-functions.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,127 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "1f13f330-4a86-4801-bbd1-86b2277627ac",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"please enter the quantity of each product available.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"t-shirt: 8\n",
"mug: 1\n",
"hat: 5\n",
"book: 6\n",
"keychain: 7\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"inventory availible: {'t-shirt': 8, 'mug': 1, 'hat': 5, 'book': 6, 'keychain': 7}\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"which product do you want to buy: mug\n",
"do you want to buy another product? (y/n): y\n",
"which product do you want to buy: hat\n",
"do you want to buy another product? (y/n): y\n",
"which product do you want to buy: book\n",
"do you want to buy another product? (y/n): n\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered:3\n",
"Percentage of Products Ordered:60.00%\n",
"updated inventory: {'t-shirt': 8, 'mug': 0, 'hat': 4, 'book': 5, 'keychain': 7}\n"
]
}
],
"source": [
"products=[\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"]\n",
"\n",
"def initialize_inventory(products_list:list,ini_inventory={}) -> dict:\n",
" print(\"please enter the quantity of each product available.\")\n",
" for i in products:\n",
" quantity=int(input(i+\":\"))\n",
" while quantity<0:\n",
" quantity=int(input(\"please enter a new number that is not under 0:\"))\n",
" ini_inventory[i]=quantity\n",
" return ini_inventory\n",
" \n",
"def get_customer_orders():\n",
" customer_orders=set()\n",
" x=\"y\"\n",
" while x==\"y\":\n",
" customer_orders.add(input(\"which product do you want to buy:\"))\n",
" x=input(\"do you want to buy another product? (y/n):\")\n",
" return customer_orders\n",
"\n",
"def update_inventory(customer_orders,inventory):\n",
" for i in customer_orders:\n",
" if inventory[i]!= 0:\n",
" inventory[i]-=1\n",
"\n",
"def calculate_order_statistics(customer_orders,products):\n",
" total_products_ordered=len(customer_orders)\n",
" percentage_ordered=len(customer_orders)/len(products)\n",
" order_status=(total_products_ordered,percentage_ordered)\n",
" return order_status\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" print(f\"Order Statistics:\\nTotal Products Ordered:{order_statistics[0]}\\nPercentage of Products Ordered:{order_statistics[1]:.2%}\")\n",
"\n",
"def print_updated_inventory(inventory):\n",
" print(\"updated inventory:\",inventory)\n",
"\n",
"inventory=initialize_inventory(products)\n",
"print(\"inventory availible:\",inventory)\n",
"\n",
"customer_orders=get_customer_orders()\n",
"update_inventory(customer_orders,inventory)\n",
"\n",
"print_order_statistics(calculate_order_statistics(customer_orders,products))\n",
"\n",
"print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "61930678-7cbb-4d43-bc4d-fa39d5af463a",
"metadata": {},
"outputs": [],
"source": [
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1856cdb7-3759-4b85-b67d-f68d8b016bb3",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -61,7 +182,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.10.14"
}
},
"nbformat": 4,
Expand Down