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344 changes: 342 additions & 2 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,11 +43,351 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "a6049bc9",
"metadata": {},
"outputs": [],
"source": [
"#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",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] #initial product list\n",
"inventory={}#empty inventory dictionary\n",
"\n",
"def initialize_inventory(products):\n",
" #initialize the inventory dictionary using a loop and user input\n",
" for product in products: #iterate over the product list \n",
" inventory[f\"{product}\"] = int(input(f'Enter the quantity of \"{product}\" in the inventory: '))\n",
" return inventory\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 98,
"id": "a77e30a2",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 99,
"id": "75366df4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}"
]
},
"execution_count": 99,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inventory"
]
},
{
"cell_type": "code",
"execution_count": 101,
"id": "f4e1f4ad",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'book', 'hat', 'mug'}"
]
},
"execution_count": 101,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Define a function named `get_customer_orders` that takes no parameters. Inside the function,\n",
"# 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",
"customer_order=set()\n",
"def get_customer_orders():\n",
" customer_order.add(input(\"enter a product you want to order between t-shirt, mug, hat, book, keychain \"))\n",
" while input(\"do you want to order another product? (yes/no)\") == \"yes\":\n",
" customer_order.add(input(\"enter the name of a product you want to order between t-shirt, mug, hat, book, keychain\"))\n",
" else:\n",
"\n",
" return customer_order\n",
" \n",
"get_customer_orders()\n",
"\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 103,
"id": "a431c681",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e7f2f56a",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"id": "ffe102ee",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "38a28361",
"metadata": {},
"outputs": [],
"source": [
"# 3. 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",
"\n",
" \n",
"def update_inventory(customer_order, inventory):\n",
" for product in customer_order:\n",
" if product in inventory:\n",
" inventory[product] -= 1\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 110,
"id": "c02c1c18",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 10, 'mug': 8, 'hat': 8, 'book': 8, 'keychain': 10}"
]
},
"execution_count": 110,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"update_inventory(customer_order, inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": 111,
"id": "ef86aa6a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'book', 'hat', 'mug'}"
]
},
"execution_count": 111,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer_order"
]
},
{
"cell_type": "code",
"execution_count": 184,
"id": "4b0b287d",
"metadata": {},
"outputs": [],
"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). \n",
"# The function should return these values.\n",
"\n",
"def calculate_order_statistics(customer_order, products):\n",
" totalorder=len(customer_order)\n",
" uniqueproducts=totalorder/len(products)*100\n",
" order_statistics=(totalorder, uniqueproducts)\n",
" return order_statistics \n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 185,
"id": "30b8eb58",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(3, 60.0)\n"
]
}
],
"source": [
"calculate_order_statistics(customer_order, products)\n",
"order_statistics = calculate_order_statistics(customer_order, products) \n",
"print(order_statistics)\n"
]
},
{
"cell_type": "code",
"execution_count": 186,
"id": "b4d41785",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named `print_order_statistics` that takes `order_statistics` \n",
"# as a parameter. Inside the function, implement the code for printing the order statistics.\n",
"def print_order_statistics(order_statistics):\n",
" print(f\"Total products ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage of unique products ordered: {order_statistics[1]:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 187,
"id": "8dab6fa2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total products ordered: 3\n",
"Percentage of unique products ordered: 60.00%\n"
]
}
],
"source": [
"print_order_statistics(order_statistics)\n"
]
},
{
"cell_type": "code",
"execution_count": 188,
"id": "c6fb2921",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt: 10\n",
"mug: 8\n",
"hat: 8\n",
"book: 8\n",
"keychain: 10\n"
]
}
],
"source": [
"#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",
"def print_updated_inventory(inventory):\n",
" for products,quantities in inventory.items():\n",
" print(f\"{products}: {quantities}\")\n",
"print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 190,
"id": "99737842",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n",
"{'book', 'mug', 't-shirt', 'hat'}\n",
"(4, 80.0)\n",
"Total products ordered: 4\n",
"Percentage of unique products ordered: 80.00%\n",
"t-shirt: 9\n",
"mug: 9\n",
"hat: 9\n",
"book: 9\n",
"keychain: 10\n"
]
}
],
"source": [
"#Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
"\n",
"initialize_inventory(products)\n",
"print(inventory)\n",
"get_customer_orders()\n",
"print(customer_order)\n",
"update_inventory(customer_order, inventory)\n",
"print\n",
"calculate_order_statistics(customer_order, products) \n",
"print(order_statistics)\n",
"print_order_statistics(order_statistics)\n",
"print_updated_inventory(inventory)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c7aed371",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +401,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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