diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..a066a2e 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,11 +43,163 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "aa74bd95", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t-shirt': 1, 'mug': 2, 'hat': 3, 'book': 4, 'keychain': 5}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "inventory = {}\n", + "\n", + "def initialize_inventory(products):\n", + " for product in products:\n", + " \"\"\" Prompt the user to enter the inventory count for each product and store it in the inventory dictionary.\"\"\"\n", + " inventory[product] = int(input(f\"Enter the inventory count for {product}: \"))\n", + " return inventory\n", + "\n", + "initialize_inventory(products)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "449e23b5", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders():\n", + " customer_orders = set() #to set up an empty set, could also be {}, but it gave me an error\n", + "\n", + " while input(\"Do you want to place an order? (yes/no): \").lower() == \"yes\":\n", + " customer_orders.add(input(\"Enter one order (from `t-shirt`, `mug`, `hat`, `book`, `keychain`): \"))\n", + "\n", + " return customer_orders\n", + "\n", + "customer_orders = get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "621b5828", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 1, 'mug': 0, 'hat': 1, 'book': 4, 'keychain': 5}\n" + ] + } + ], + "source": [ + "def update_inventory(inventory, customer_orders):\n", + " for product in customer_orders:\n", + " if product in inventory and inventory[product] > 0:\n", + " inventory[product] -= 1\n", + " return inventory\n", + "\n", + "update_inventory(inventory, customer_orders)\n", + "#print (inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "e478ce61", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + " total_in_house = sum(inventory.values())\n", + " percentage_ordered = (total_products_ordered / total_in_house) * 100\n", + " order_status = (total_products_ordered, percentage_ordered)\n", + " return total_products_ordered, total_in_house, percentage_ordered, order_status\n", + "\n", + "total_products_ordered, total_in_house, percentage_ordered, order_statistics = calculate_order_statistics(customer_orders, products)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "6a2e7a02", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " Order Statistics:\n", + " Total Products Ordered: 2\n", + " Percentage of Products Ordered: 18.181818181818183% \n", + " \n" + ] + } + ], + "source": [ + "def print_order_statistics(order_statistics):\n", + " print(f\"\"\"\n", + " Order Statistics:\n", + " Total Products Ordered: {total_products_ordered}\n", + " Percentage of Products Ordered: {percentage_ordered}% \n", + " \"\"\")\n", + " \n", + "print_order_statistics(order_statistics)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "04b355db", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updated Inventory:\n", + " t-shirt: 1\n", + " mug: 0\n", + " hat: 1\n", + " book: 4\n", + " keychain: 5\n", + " \n" + ] + } + ], + "source": [ + "def print_updated_inventory(inventory):\n", + " print(f\"\"\"Updated Inventory:\n", + " t-shirt: {inventory['t-shirt']}\n", + " mug: {inventory['mug']}\n", + " hat: {inventory['hat']}\n", + " book: {inventory['book']}\n", + " keychain: {inventory['keychain']}\n", + " \"\"\")\n", + " \n", + "print_updated_inventory(inventory)" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "base", "language": "python", "name": "python3" }, @@ -61,7 +213,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.5" } }, "nbformat": 4,