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313 changes: 312 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 +43,317 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3af9f4ba-d3e1-44e9-9820-1112ed2c26af",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 5,
"id": "fce46fe4-5f3f-4218-b8e0-e71e10fed0d5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter number 1: 23\n",
"Enter number 2: 34\n",
"Enter number 3: 12\n",
"Enter number 4: 34\n",
"Enter number 5: 11\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The inventory dictionary is : {'t-shirt': 23, 'mug': 34, 'hat': 12, 'book': 34, 'keychain': 11}\n"
]
}
],
"source": [
"inventory_dict = {}\n",
"def initialize_inventory(products):\n",
" \"\"\"\n",
" Initlaize the inventory dictionary\n",
"\n",
" Parameters:\n",
" Product list.\n",
" \"\"\"\n",
" for i in range(0, len(products)):\n",
" user_num = input(f\"Enter number {i+1}: \")\n",
" if user_num.isdigit():\n",
" inventory_dict[products[i]] = int(user_num)\n",
" else:\n",
" print(\"Enter the valid value\")\n",
" user_num = int(input(f\"Enter number {i+1}: \"))\n",
" inventory_dict[products[i]] = int(user_num)\n",
" \n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"print(products)\n",
"initialize_inventory(products)\n",
"print(\"The inventory dictionary is : \",inventory_dict)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f9ca1518-6d01-4861-a9df-aafbd4622853",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the number of products to be ordered: 3\n"
]
}
],
"source": [
"count = int(input(\"Enter the number of products to be ordered: \"))\n",
"customer_orders = set()\n",
"\n",
"def get_customer_orders():\n",
" \"\"\"\n",
" Returns the customer orders set\n",
"\n",
" Parameters: Empty.\n",
" \"\"\"\n",
" for i in range(0,count):\n",
" product = input(f\"Enter the product {i+1}: \")\n",
" if product.isdigit():\n",
" product = print(f\"Enter the valid product {i+1}:\")\n",
" product = input(f\"Enter the product {i+1}: \")\n",
" customer_orders.add(product)\n",
" else:\n",
" customer_orders.add(product)\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "8f82a473-5606-487d-a5b1-f8f4fcec5658",
"metadata": {},
"outputs": [],
"source": [
"updated_inventory = {}\n",
"products = []\n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
" \"\"\"\n",
" Returns the updated inventory\n",
"\n",
" Parameters: customer_orders, inventory.\n",
" \"\"\"\n",
" for product in customer_orders:\n",
" while True:\n",
" quantity = input(f\"Enter the quantity for the product {product}: \")\n",
" if quantity.isdigit():\n",
" quantity = int(quantity)\n",
" break\n",
" print(\"Please enter a valid numeric quantity.\")\n",
" \n",
" products.append(quantity)\n",
"\n",
" # Update inventory if product exists\n",
" if product in inventory:\n",
" print(product)\n",
" inventory[product] = int(inventory[product]) - quantity\n",
" else:\n",
" print(f\"Warning: {product} not found in inventory!\")\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "b42807c3-0421-4243-aadd-5448a73eb720",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" \"\"\"\n",
" Calculate order statistics.\n",
"\n",
" Parameters: customer_orders, products.\n",
" \"\"\"\n",
" \n",
" total_order = sum(int(x) for x in products)\n",
" print(total_order)\n",
"\n",
" unique_percentage = (total_order / sum(inventory_dict.values())) * 100\n",
" return total_order, unique_percentage\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "6cf60fb6-1f1f-4c1a-8196-a648feea005e",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" \"\"\"\n",
" Calculate order statistics.\n",
"\n",
" Parameters: order statistics dictionary key as String and values as \n",
" percentage unique products value, total products ordered value.\n",
" \"\"\"\n",
" \n",
" percentage_ordered = order_statistics[\"percentage_unique_products\"]\n",
" print(\"Total products ordered: \",order_statistics[\"total_products_ordered\"])\n",
" print(f\"Total percentage of the unique products ordered: {percentage_ordered:.2f}\")\n",
"\n",
"#print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "d8bad1d3-a3fd-496c-bfc8-8f73a4f6e943",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated Inventory:\n",
"------------------\n"
]
}
],
"source": [
"def print_updated_inventory(inventory):\n",
" \"\"\"\n",
" Prints the updated inventory.\n",
"\n",
" Parameters:\n",
" inventory (dict): Dictionary with product names as keys and quantities as values.\n",
" \"\"\"\n",
" print(\"Updated Inventory:\")\n",
" print(\"------------------\")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")\n",
"\n",
"print_updated_inventory(updated_inventory)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "0381a018-e661-40af-b6e0-5620a3c25f5a",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the product 1: hat\n",
"Enter the product 2: book\n",
"Enter the product 3: mug\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The product set is: {'hat', 'mug', 'book'}\n",
"{'t-shirt': 23, 'mug': 34, 'hat': 12, 'book': 34, 'keychain': 11}\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity for the product hat: 2\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"hat\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity for the product mug: 4\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"mug\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity for the product book: 1\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"book\n",
"7\n",
"Total products ordered: 7\n",
"Total percentage of the unique products ordered: 6.54\n",
"Updated Inventory:\n",
"------------------\n",
"t-shirt: 23\n",
"mug: 30\n",
"hat: 10\n",
"book: 33\n",
"keychain: 11\n"
]
}
],
"source": [
"\n",
"#Print the customers Order Set\n",
"print(\"The product set is: \",get_customer_orders())\n",
"\n",
"#get the updated inventory\n",
"print(inventory_dict)\n",
"updated_inventory = update_inventory(customer_orders, inventory_dict)\n",
"\n",
"#print the order statistics\n",
"total_order, unique_percentage = calculate_order_statistics(customer_orders, products)\n",
"order_statistics = {\"total_products_ordered\": total_order, \"percentage_unique_products\": unique_percentage}\n",
"print_order_statistics(order_statistics)\n",
"\n",
"#print the updated inventory \n",
"print_updated_inventory(updated_inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d3f64ac6-8be9-43e1-b538-099dcc14d52d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -61,7 +372,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.4"
}
},
"nbformat": 4,
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