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Submitting lab day2 lab-python-flow-control #622

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132 changes: 130 additions & 2 deletions lab-python-flow-control.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -37,11 +37,139 @@
"\n",
"3. Instead of updating the inventory by subtracting 1 from the quantity of each product, only do it for the products that were ordered (those in \"customer_orders\")."
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "f0ad8e88",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 98, 'mug': 65, 'hat': 32, 'book': 78, 'keychain': 45}\n"
]
}
],
"source": [
"# define products\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"# create empty dictionary\n",
"inventory = {}\n",
"\n",
"inventory = {product: int(input(f\"Please input the amount of the product {product}\")) for product in products}\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "77f143f7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total order:\n",
"keychain\n",
"mug\n",
"book\n"
]
}
],
"source": [
"#make emty set\n",
"customer_orders = set()\n",
"\n",
"#keep asking until no\n",
"while True:\n",
" product = input(\"which product would you like to order?\")\n",
" #add to customer_orders\n",
" customer_orders.add(product)\n",
" #ask something else?\n",
" next_order = input(\"would you like to order something else? Please answer 'yes' or 'no':\").strip().lower() \n",
"\n",
" if next_order == 'no':\n",
" break\n",
"\n",
"#print order\n",
"print(\"Total order:\")\n",
"for order in customer_orders:\n",
" print(order)\n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "2c4dbf27",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'tuple'>\n",
"Order Statistics:\n",
"Total Products Ordered: 4\n",
"Percentage of Products Ordered: 1.257861635220126%\n"
]
}
],
"source": [
"#establish total number of orders\n",
"tot_products_ordered = len(customer_orders)\n",
"#establish total number of products\n",
"tot_products = sum(inventory.values())\n",
"#calculate percentage\n",
"percentage_products_ordered = (tot_products_ordered / tot_products) * 100\n",
"#create tuple\n",
"order_status = (tot_products_ordered, percentage_products_ordered)\n",
"\n",
"print(type(order_status))\n",
"\n",
"print(f\"Order Statistics:\\n\"\n",
" f\"Total Products Ordered: {tot_products_ordered}\\n\"\n",
" f\"Percentage of Products Ordered: {percentage_products_ordered}%\")"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "ca379b75",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated Inventory:\n",
"t-shirt: 98\n",
"mug: 64\n",
"hat: 32\n",
"book: 77\n",
"keychain: 44\n"
]
}
],
"source": [
"#ordered items in customer_orders\n",
"#substract customer_order of all products\n",
"\n",
"\n",
"updated_inventory = {product: (quantity - 1 if product in customer_orders else quantity) for product, quantity in inventory.items()}\n",
"#print each item on a new line\n",
"print(\"Updated Inventory:\")\n",
"for product, quantity in updated_inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -55,7 +183,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.2"
}
},
"nbformat": 4,
Expand Down