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Week 1_Lab 1_done #522

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171 changes: 170 additions & 1 deletion lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,175 @@
"\n",
"Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please input the quantity of product t-shirt: 10\n",
"Please input the quantity of product mug: 10\n",
"Please input the quantity of product hat: 10\n",
"Please input the quantity of product book: 10\n",
"Please input the quantity of product keychain: 10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n"
]
}
],
"source": [
"# create a product list, inventory dictionary\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"inventory = {} \n",
"\n",
"for p in products:\n",
" quantity = int(input(f\"Please input the quantity of product {p}:\"))\n",
" inventory[p] = quantity\n",
" \n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true,
"jupyter": {
"outputs_hidden": true
}
},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please input the name of product that a customer wants to order: mug\n",
"Please input the name of product that a customer wants to order: hat\n",
"Please input the name of product that a customer wants to order: book\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'mug', 'book'}\n"
]
}
],
"source": [
"# create a customer order set\n",
"\n",
"customer_orders = set()\n",
" \n",
"for i in range(3):\n",
" product = input(\"Please input the name of product that a customer wants to order:\")\n",
" customer_orders.add(product)\n",
"\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# ---------------------------------------only execute below codes---------------------------------------------------------------------------------------"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
" Total Products Ordered: 3\n",
" Percentage of Products Ordered: 60% \n"
]
}
],
"source": [
"# create 0rder_Stats tuple\n",
"\n",
"Total_Products_Ordered = len(customer_orders)\n",
"Percentage_of_Products_Ordered = (Total_Products_Ordered/len(inventory))\n",
"\n",
"order_status = (Total_Products_Ordered,Percentage_of_Products_Ordered)\n",
"\n",
"print(f\"Order Statistics:\\n Total Products Ordered: {order_status[0]}\\n Percentage of Products Ordered: {order_status[1]*100:.0f}% \") \n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 9, 'hat': 9, 'book': 9, 'keychain': 10}\n"
]
}
],
"source": [
"# Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
"\n",
"for o in customer_orders:\n",
" inventory[o] -= 1\n",
" \n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"updated inventory overview:\n",
"\n",
"t-shirt 10\n",
"mug 9\n",
"hat 9\n",
"book 9\n",
"keychain 10\n"
]
}
],
"source": [
"# Print the updated inventory, displaying the quantity of each product on separate lines.\n",
"\n",
"print(f\"updated inventory overview:\\n\")\n",
"\n",
"for k,v in inventory.items(): \n",
" print(f\"{k} {v}\")\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -68,7 +237,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.10.10"
}
},
"nbformat": 4,
Expand Down