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180 changes: 179 additions & 1 deletion lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,184 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "f1d455c4-3936-46e0-b75f-4929e467196f",
"metadata": {},
"outputs": [],
"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.\n",
"def initialize_inventory(products):\n",
" inventory={}\n",
" for i in range(len(products)):\n",
" inventory[products[i]]=int(input('how many ' + products[i] + 's?'))\n",
" return inventory\n",
"# products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"# inventory=initialize_inventory(products)\n",
"# print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "73b4d3a7-1b65-423f-9e44-cd396b1cc8e4",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named get_customer_orders that takes no parameters. Inside the function, implement the code for prompting \n",
"#the user to enter the product names using a loop. \n",
"#The function should return the customer_orders set.\n",
"def get_customer_orders():\n",
" options=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
" customer_orders=set()\n",
" addmore=True\n",
" while addmore==True:\n",
" choice= input('Choose a product from ' + str(options))\n",
" if choice in options:\n",
" customer_orders.add(choice)\n",
" yesno=input('Would you like to add another product? (yes/no)')\n",
" if yesno.lower()=='no':\n",
" addmore=False\n",
" return customer_orders\n",
"#customer_orders=get_customer_orders()\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "6c094bae-cc2d-425a-b905-faefb3ab894f",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named update_inventory that takes customer_orders and inventory as parameters. Inside the function, \n",
"#implement the code for updating the inventory dictionary based on the customer orders.\n",
"def update_inventory(customer_orders, inventory):\n",
" for i in customer_orders:\n",
" if inventory[i]!=0 and i in inventory:\n",
" inventory[i]-=1\n",
" return inventory\n",
"# print(inventory)\n",
"# update_inventory(customer_orders, inventory)\n",
"# print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "1a27a04e-10ad-4728-ba1b-f4cd22d81617",
"metadata": {},
"outputs": [],
"source": [
"# Define a function named calculate_order_statistics that takes customer_orders and products as parameters. Inside the function, \n",
"# implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). \n",
"# The function should return these values.\n",
"def calculate_order_statistics(customer_orders,products):\n",
" total_number_products=len(customer_orders)\n",
" total=sum(inventory.values())\n",
" percentage_ordered=round(len(customer_orders)/total*100,1)\n",
" #order_status=('Total Products Ordered:',total_number_products,'Percentage of Products Ordered:',percentage_ordered)\n",
" #print('Order Statistics')\n",
" #print(f\"Total Products Ordered: {total_number_products}\")\n",
" #print(f\"Percentage of Products Ordered: {percentage_ordered}%\" )\n",
" order_statistics= [total_number_products, percentage_ordered]\n",
" return order_statistics\n",
"#order_statistics=calculate_order_statistics(customer_orders,products)\n"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "a6cf44c5-c0e0-4f56-8ea6-298d957390da",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics\n",
"Total Products Ordered: 1\n",
"Percentage of Products Ordered: 5.9%\n"
]
}
],
"source": [
"# Define a function named print_order_statistics that takes order_statistics as a parameter. Inside the function, implement the \n",
"# code for printing the order statistics.\n",
"def print_order_statistics(order_statistics):\n",
" total_number_products=order_statistics[0]\n",
" percentage_ordered=order_statistics[1]\n",
" print('Order Statistics')\n",
" print(f\"Total Products Ordered: {total_number_products}\")\n",
" print(f\"Percentage of Products Ordered: {percentage_ordered}%\" )\n",
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "4a7150d7-573d-4168-bf28-7d7225dec467",
"metadata": {},
"outputs": [],
"source": [
"# Define a function named print_updated_inventory that takes inventory as a parameter. Inside the function, \n",
"# implement the code for printing the updated inventory.\n",
"def print_updated_inventory(inventory):\n",
" print(inventory)\n",
" for key,value in inventory.items():\n",
" print(f\"There are {value} {key}s\")"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "ebfe0517-662a-45a1-9550-a2023243bc32",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"how many t-shirts? 12\n",
"how many mugs? 12\n",
"how many hats? 12\n",
"how many books? 12\n",
"how many keychains? 12\n",
"Choose a product from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] mug\n",
"Would you like to add another product? (yes/no) hat\n",
"Choose a product from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] no\n",
"Choose a product from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] hat\n",
"Would you like to add another product? (yes/no) no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics\n",
"Total Products Ordered: 2\n",
"Percentage of Products Ordered: 3.4%\n",
"{'t-shirt': 12, 'mug': 11, 'hat': 11, 'book': 12, 'keychain': 12}\n",
"There are 12 t-shirts\n",
"There are 11 mugs\n",
"There are 11 hats\n",
"There are 12 books\n",
"There are 12 keychains\n"
]
}
],
"source": [
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory=initialize_inventory(products)\n",
"customer_orders=get_customer_orders()\n",
"inventory=update_inventory(customer_orders, inventory)\n",
"order_statistics=calculate_order_statistics(customer_orders,products)\n",
"print_order_statistics(order_statistics)\n",
"print_updated_inventory(inventory)"
]
}
],
"metadata": {
Expand All @@ -61,7 +239,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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