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323 changes: 322 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 +43,327 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 99,
"id": "de2abae8-4e51-4daf-9f56-eabb7ff14178",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 101,
"id": "7b1a8614-21c4-447c-b976-d9f7d7a29cdf",
"metadata": {},
"outputs": [],
"source": [
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 102,
"id": "ab786eff-e9d6-456f-a4e8-db20b5bee081",
"metadata": {},
"outputs": [],
"source": [
"customer_orders = set({})"
]
},
{
"cell_type": "code",
"execution_count": 103,
"id": "be14d87a-3882-462e-b3fd-9c96038271ba",
"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",
"\n",
"def initialize_inventory(products):\n",
" for product_type in products:\n",
" inventory[product_type] = int(input(f\"Please enter the number of {product_type}\"))\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 104,
"id": "f7afaf48-2398-4420-ae5f-d1f8a51d3a12",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter the number of t-shirt 5\n",
"Please enter the number of mug 10\n",
"Please enter the number of hat 15\n",
"Please enter the number of book 20\n",
"Please enter the number of keychain 25\n"
]
}
],
"source": [
"initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 105,
"id": "c5b62665-7686-4cee-ae45-72f4e4e2f6fe",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 5, 'mug': 10, 'hat': 15, 'book': 20, 'keychain': 25}"
]
},
"execution_count": 105,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inventory"
]
},
{
"cell_type": "code",
"execution_count": 106,
"id": "e903607c-750f-4e42-8d17-ab5210bbd834",
"metadata": {},
"outputs": [],
"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. \n",
"# The function should return the customer_orders set.\n",
"\n",
"def get_customer_orders(products):\n",
" customer_orders_set = set({})\n",
" customer_order_type = input('Please enter the product ordered:')\n",
" if customer_order_type in products:\n",
" customer_orders_set.add(customer_order_type)\n",
" while customer_order_type not in products:\n",
" customer_order_type = input('Please enter the product ordered (among the existing products types):')\n",
" if customer_order_type in products:\n",
" customer_orders_set.add(customer_order_type)\n",
" customer_order_type_question = input('Do you want to add another product? Enter Yes or No')\n",
" if customer_order_type_question != 'Yes' and customer_order_type_question != 'No':\n",
" customer_order_type_question = input('The input is wrong, please try again and answer only with Yes or No the following question: Do you want to add another product?')\n",
" while customer_order_type_question == 'Yes':\n",
" customer_order_type_another = input('Please enter the product ordered:')\n",
" if customer_order_type_another in products:\n",
" customer_orders_set.add(customer_order_type_another)\n",
" while customer_order_type_another not in products:\n",
" customer_order_type_another = input('Please enter the product ordered (among the existing products types):')\n",
" if customer_order_type_another in products:\n",
" customer_orders_set.add(customer_order_type_another)\n",
" customer_order_type_question = input('Do you want to add another product? Enter Yes or No')\n",
" return customer_orders_set"
]
},
{
"cell_type": "code",
"execution_count": 111,
"id": "b14f0fc3-2d1d-4ae4-bab3-059396c7af23",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter the product ordered: mug\n",
"Do you want to add another product? Enter Yes or No Yes\n",
"Please enter the product ordered: mug\n",
"Do you want to add another product? Enter Yes or No No\n"
]
},
{
"data": {
"text/plain": [
"{'mug'}"
]
},
"execution_count": 111,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"another_customer_orders_set = get_customer_orders(products)\n",
"another_customer_orders_set"
]
},
{
"cell_type": "code",
"execution_count": 113,
"id": "e6489795-ba8a-4f38-93fa-37f74b1abead",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'mug'}\n",
"{'t-shirt': 5, 'mug': 9, 'hat': 14, 'book': 19, 'keychain': 25}\n"
]
}
],
"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",
"\n",
"print(another_customer_orders_set)\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 114,
"id": "9d7ddccb-5d97-4449-ae3c-11eeadd637e5",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" for customer_order_element in customer_orders:\n",
" inventory[customer_order_element] -= 1\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 115,
"id": "916ac323-37f1-4691-b950-15202a90ce49",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 5, 'mug': 8, 'hat': 14, 'book': 19, 'keychain': 25}"
]
},
"execution_count": 115,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"update_inventory(another_customer_orders_set, inventory)"
]
},
{
"cell_type": "code",
"execution_count": 116,
"id": "0017ee77-0e1c-4235-a3ba-9f24f0a31fef",
"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_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_unique_products_ordered = len(customer_orders)/len(products)\n",
" return total_products_ordered, percentage_unique_products_ordered"
]
},
{
"cell_type": "code",
"execution_count": 120,
"id": "48c23417-1554-4860-ad52-934ad1bc86e9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1, 0.2)\n"
]
}
],
"source": [
"order_statistics = calculate_order_statistics(another_customer_orders_set, products)\n",
"print(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 118,
"id": "46c2465d-7c1f-4f6c-a113-ca0ddd2d4321",
"metadata": {},
"outputs": [],
"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",
"\n",
"def print_order_statistics(order_statistics):\n",
" return print(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 121,
"id": "de573b34-a0f1-4cb1-905c-a44b5fe10b01",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1, 0.2)\n"
]
}
],
"source": [
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 122,
"id": "ed9b1cf3-4b4a-4e50-b053-ba7943d9be44",
"metadata": {},
"outputs": [],
"source": [
"# Define a function named print_updated_inventory that takes inventory as a parameter. \n",
"# Inside the function, implement the code for printing the updated inventory.\n",
"\n",
"def print_updated_inventory(inventory):\n",
" return print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 123,
"id": "405eb62a-07a0-40ed-8ae9-99808caa193f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 5, 'mug': 8, 'hat': 14, 'book': 19, 'keychain': 25}\n"
]
}
],
"source": [
"print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d0d19953-1c6c-4392-b3a3-05766bed0a17",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -61,7 +382,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down