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lab-python-functions #442

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121 changes: 118 additions & 3 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,13 +43,128 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "5c622ae4-0e53-4ec8-bbfd-5524499bc93f",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter stock for article t-shirt 1\n",
"Please enter stock for article mug 2\n",
"Please enter stock for article hat 3\n",
"Please enter stock for article book 4\n",
"Please enter stock for article keychain 5\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 1, 'mug': 2, 'hat': 3, 'book': 4, 'keychain': 5}\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Would you like to order? Please enter 1 for yes and 0 for no. 1\n",
"Please enter 0 for t-shirt, 1 for mug, 2 for hat, 3 for book or 4 for keychain 1\n",
"Would you like to order something else? Please enter 1 for yes and 0 for no. 1\n",
"Please enter 0 for t-shirt, 1 for mug, 2 for hat, 3 for book or 4 for keychain 2\n",
"Would you like to order something else? Please enter 1 for yes and 0 for no. 0\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Thank you for your order.\n",
"{'hat', 'mug'}\n",
"Order Statistics:\n",
" Total Products Ordered: 2\n",
" Percentage of Products Ordered: 40.0 %\n",
"The stock for t-shirt is 1\n",
"The stock for mug is 1\n",
"The stock for hat is 2\n",
"The stock for book is 4\n",
"The stock for keychain is 5\n"
]
}
],
"source": [
"def initialize_inventory(products):\n",
" \"\"\"Initializing a dictionary for inventory input\"\"\"\n",
" inventory = {}\n",
" for product in products:\n",
" stock = int(input(f\"Please enter stock for article {product}\"))\n",
" inventory[product] = stock\n",
" return inventory\n",
"\n",
"def get_customer_orders():\n",
" \"\"\"Creates Set for customer order input\"\"\"\n",
" customer_orders = set()\n",
" question = int(input(\"Would you like to order? Please enter 1 for yes and 0 for no.\"))\n",
" while question == 1:\n",
" customer_orders.add(products[int(input(\"Please enter 0 for t-shirt, 1 for mug, 2 for hat, 3 for book or 4 for keychain\"))])\n",
" question = int(input(\"Would you like to order something else? Please enter 1 for yes and 0 for no.\"))\n",
" print(\"Thank you for your order.\")\n",
" return customer_orders\n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
" for product in customer_orders:\n",
" inventory[product] -= 1\n",
" return inventory\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = (len(customer_orders)/len(inventory.values()))*100\n",
" return(total_products_ordered, percentage_ordered)\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" print(f\"\"\"Order Statistics:\n",
" Total Products Ordered: {order_statistics[0]}\n",
" Percentage of Products Ordered: {order_statistics[1]} %\"\"\")\n",
"\n",
"def print_updated_inventory(inventory):\n",
" for product in products:\n",
" print(\"The stock for\", product, \"is\", inventory[product])\n",
"\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"inventory = initialize_inventory(products)\n",
"print(inventory)\n",
"\n",
"customer_orders = get_customer_orders()\n",
"print(customer_orders)\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"\n",
"print_order_statistics(order_statistics)\n",
"\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"\n",
"print_updated_inventory(inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1f1b34a1-34ff-4fdd-8fb7-5f51bf3039c1",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "python3"
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -61,7 +176,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.7"
}
},
"nbformat": 4,
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