diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..806076d 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -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": { @@ -61,7 +176,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.12.7" } }, "nbformat": 4,