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LabListComprehension #511

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187 changes: 185 additions & 2 deletions lab-python-list-comprehension.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -75,11 +75,194 @@
"\n",
"```\n"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "1ac5dc53",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 1000, 'mug': 1000, 'hat': 1000, 'book': 1000, 'keychain': 1000}\n"
]
}
],
"source": [
"def initialize_inventory(products):\n",
" inventory = {product: int(input(f\"Introduce la cantidad de {product}s disponibles: \")) for product in products}\n",
" print(\"Inventario inicial:\", inventory)\n",
" return inventory\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "eea40492",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['book', 'hat', 'mug', 'book', 'book']\n"
]
}
],
"source": [
"def get_customer_orders(products):\n",
" num_orders = int(input(\"Introduce el número de pedidos de clientes: \"))\n",
" customer_orders = []\n",
" for i in range(num_orders):\n",
" order = input(f\"Introduce el nombre del producto {i+1} que deseas comprar: \")\n",
" if order in products:\n",
" customer_orders.append(order)\n",
" else:\n",
" print(\"El producto no está disponible.\")\n",
" print(\"Productos pedidos por el cliente:\", customer_orders)\n",
" return customer_orders\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "fd2d8432",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total price of orders: 121.0 EUROS\n"
]
}
],
"source": [
"def calculate_total_price(customer_orders):\n",
" total_price = sum(float(input(f\"Introduce el precio de {product}: \")) for product in customer_orders)\n",
" print(f\"Precio Total: {total_price}\")\n",
" return total_price\n",
"print(\"Total price of orders:\", total_price, \"EUROS\")"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "69adbebc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated inventory: {'mug': 999, 'hat': 999, 'book': 999}\n"
]
}
],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" updated_inventory = {product: inventory[product] - 1 for product in inventory if product in customer_orders and inventory[product] > 0}\n",
" print(\"Inventario actualizado:\")\n",
" for product, quantity in updated_inventory.items():\n",
" print(product, \":\", quantity)\n",
" return updated_inventory\n",
"print(\"Updated inventory:\", updated_inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c4b2b5a8",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = (total_products_ordered / len(products)) * 100\n",
" return total_products_ordered, percentage_ordered\n"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "16ffdc0e",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" total_products_ordered, percentage_ordered = order_statistics\n",
" print(\"Estadísticas del Pedido:\")\n",
" print(\"Total de productos pedidos:\", total_products_ordered)\n",
" print(\"Porcentaje de productos únicos pedidos:\", percentage_ordered, \"%\")"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "c4c30469",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
" print(\"Inventario actualizado:\")\n",
" for product, quantity in inventory.items():\n",
" print(product, \":\", quantity)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "ae66e5ca",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inventario inicial: {'t-shirt': 1000, 'mug': 1000, 'hat': 1000, 'book': 1000, 'keychain': 1000}\n",
"Productos pedidos por el cliente: ['book', 'hat', 'mug', 'book', 'book']\n",
"Estadísticas del Pedido:\n",
"Total de productos pedidos: 5\n",
"Porcentaje de productos únicos pedidos: 100.0 %\n",
"Precio Total: 121.0\n",
"Inventario actualizado:\n",
"mug : 999\n",
"hat : 999\n",
"book : 999\n"
]
}
],
"source": [
"## Lista de productos disponibles\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"# Paso 1: Inicializamos el inventario\n",
"inventory = initialize_inventory(products)\n",
"\n",
"# Paso 2: Obtenemos los pedidos del cliente\n",
"customer_orders = get_customer_orders(products) # Asegúrate de pasar 'products' aquí porque si no, da error\n",
"\n",
"# Paso 3: Calculamos las estadísticas\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"\n",
"# Paso 4: Mostramos las estadísticas\n",
"print_order_statistics(order_statistics)\n",
"\n",
"# Paso 5: Calculamos el precio total del pedido\n",
"total_price = calculate_total_price(customer_orders)\n",
"\n",
"# Paso 6: Actualizamos el inventario\n",
"updated_inventory = update_inventory(customer_orders, inventory)\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -93,7 +276,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.10"
}
},
"nbformat": 4,
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