diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..251a4b9 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,13 +43,333 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "1b3d2774-c203-4e7d-b642-bba2d9175291", + "metadata": {}, + "outputs": [], + "source": [ + "#1 Define a function named initialize_inventory that takes products as a parameter. \n", + "# Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n", + "\n", + "def initialize_inventory(products):\n", + " inventory = {}\n", + " for product in products:\n", + " quantity = int(input(f\"Please enter the quantity of {product}\"))\n", + " inventory[product] = quantity\n", + " return inventory\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "84621429-0779-45b5-b604-141558348dfa", + "metadata": {}, + "outputs": [], + "source": [ + "#2 Define a function named get_customer_orders that takes no parameters. \n", + "# Inside the function, implement the code for prompting the user to enter the product names using a loop. \n", + "# The function should return the customer_orders set.\n", + "\n", + "def get_customer_orders():\n", + " customer_orders = set()\n", + " max_products = len(products)\n", + " count = 0\n", + " \n", + " # Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the customer_orders set.\n", + " while count < max_products: # adding this because it does not make sense to keep asking the customer to add more than the available products in the inventory, hence after 5 input, the loop should terminate\n", + " product_name = input(\"Please enter the name of a product you wish to order: \")\n", + " if product_name in products:\n", + " customer_orders.add(product_name)\n", + " count += 1\n", + " decision = input(\"Do you want to add another product to your order? yes or no: \")\n", + " while decision != \"yes\" and decision != \"no\":\n", + " print(\"Answer not accepted, question can only be answered with yes or no\")\n", + " decision = input(\"Do you want to add another product to your order? yes or no: \")\n", + " if decision != \"yes\":\n", + " break\n", + " else:\n", + " print(\"Please enter a product that is available in our shop\")\n", + "\n", + " return(customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "f29c1b9c-4b3d-4a57-9738-e0642ac29be3", + "metadata": {}, + "outputs": [], + "source": [ + "#3 Define a function named update_inventory that takes customer_orders and inventory as parameters. \n", + "# Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n", + "\n", + "def update_inventory(customer_orders, inventory):\n", + " for product in inventory:\n", + " if product in customer_orders:\n", + " inventory[product] -= 1\n", + " return inventory\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "3b9662d0-763f-45f4-bc5b-b84c40ee93e2", + "metadata": {}, + "outputs": [], + "source": [ + "#4 Define a function named calculate_order_statistics that takes customer_orders and products as parameters. \n", + "# Inside the function, implement the code for calculating the order statistics, \n", + "# (total products ordered, and percentage of unique products ordered). The function should return these values.\n", + "\n", + "def calculate_order_statistics(customer_orders, products):\n", + " total_of_products_ordered = 0\n", + " for product in products:\n", + " if product in customer_orders: \n", + " total_of_products_ordered += inventory[product]\n", + "\n", + " # Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n", + " total_inventory = sum(inventory.values())\n", + " \n", + " percentage_of_products_ordered = (total_of_products_ordered / total_inventory)*100\n", + " return total_of_products_ordered, percentage_of_products_ordered\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "id": "f5bee4a9-94d1-4e2d-a2ec-c020a126240e", + "metadata": {}, + "outputs": [], + "source": [ + "#5 Define a function named print_order_statistics that takes order_statistics as a parameter. \n", + "# Inside the function, implement the code for printing the order statistics.\n", + "\n", + "def print_order_statistics(order_statistics):\n", + " total_of_products_ordered, percentage_of_products_ordered = order_statistics\n", + " print(total_of_products_ordered)\n", + " print(f\"{percentage_of_products_ordered:.1f}%\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "id": "eee7b42f-4604-4e32-87f1-1949e97eb08f", + "metadata": {}, + "outputs": [], + "source": [ + "#6 Define a function named print_updated_inventory that takes inventory as a parameter. \n", + "# Inside the function, implement the code for printing the updated inventory.\n", + "\n", + "def print_updated_inventory(inventory):\n", + " print(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "18572ff7-b98b-4dd9-a406-e90e962cfbbc", + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "e308eb5c-7bc3-466c-8f04-9f544a6eec04", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Please enter the quantity of t-shirt 8\n", + "Please enter the quantity of mug 7\n", + "Please enter the quantity of hat 6\n", + "Please enter the quantity of book 5\n", + "Please enter the quantity of keychain 4\n" + ] + } + ], + "source": [ + "# calling the function initialize_inventory to define the inventory\n", + "inventory = initialize_inventory(products)" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "f0d0d480-e240-4589-bc57-3b30d26b3bdf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t-shirt': 8, 'mug': 7, 'hat': 6, 'book': 5, 'keychain': 4}" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# quick check if inventory has filled in correctly\n", + "inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "bbb15bbc-8a56-4b53-b183-e9c250d6d947", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Please enter the name of a product you wish to order: mug\n", + "Do you want to add another product to your order? yes or no: book\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Answer not accepted, question can only be answered with yes or no\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Do you want to add another product to your order? yes or no: yes\n", + "Please enter the name of a product you wish to order: hat\n", + "Do you want to add another product to your order? yes or no: yes\n", + "Please enter the name of a product you wish to order: book\n", + "Do you want to add another product to your order? yes or no: no\n" + ] + } + ], + "source": [ + "customer_orders = get_customer_orders()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "c40359cb-e7d5-461d-9fc5-3e254fe45c3b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'book', 'hat', 'mug'}" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "e07ec939-66f3-4a7f-bacb-552bf2fc5b8f", + "metadata": {}, + "outputs": [], + "source": [ + "inventory = update_inventory(customer_orders, inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "d0141be1-329d-46c8-9fa5-e01bee0e94f8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t-shirt': 8, 'mug': 6, 'hat': 5, 'book': 4, 'keychain': 4}" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# quick check if inventory has been correctly updated\n", + "inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "492871f1-d50c-4b1e-9d90-d590f165dfdc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(15, 55.55555555555556)\n" + ] + } + ], + "source": [ + "order_statistics = calculate_order_statistics(customer_orders, products)\n", + "stats = order_statistics\n", + "print(stats)" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "68a899bb-5b8c-4ea0-a20f-673308a95913", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15\n", + "55.6%\n", + "None\n" + ] + } + ], + "source": [ + "cart_details = print_order_statistics(stats)\n", + "print(cart_details)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "78c780aa-5bd7-41b8-86a0-2ee01e1bceeb", + "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 +381,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.5" } }, "nbformat": 4,