a function that calculate the total cost of each order from a dictionary
Question:
I have a list of dictionaries that represent orders in an online store. Each dictionary contains keys for the order ID, customer ID, and a list of line items, where each line item is itself a dictionary containing keys for the product ID, quantity, and price
orders = [
{'order_id': 1, 'customer_id': 1001, 'line_items': [
{'product_id': 'A001', 'quantity': 2, 'price': 10.00},
{'product_id': 'B002', 'quantity': 1, 'price': 5.00},
{'product_id': 'C003', 'quantity': 3, 'price': 2.50},
]},
{'order_id': 2, 'customer_id': 1002, 'line_items': [
{'product_id': 'D004', 'quantity': 1, 'price': 20.00},
{'product_id': 'E005', 'quantity': 2, 'price': 15.00},
]},
{'order_id': 3, 'customer_id': 1003, 'line_items': [
{'product_id': 'F006', 'quantity': 4, 'price': 3.00},
{'product_id': 'G007', 'quantity': 2, 'price': 5.00},
{'product_id': 'H008', 'quantity': 1, 'price': 8.00},
]},
{'order_id': 4, 'customer_id': 1004, 'line_items': [
{'product_id': 'F006', 'quantity': 4, 'price': 3.00},
{'product_id': 'G007', 'quantity': 2, 'price': 5.00},
{'product_id': 'H008', 'quantity': 1, 'price': 8.00},
]},
{'order_id': 5, 'customer_id': 1005, 'line_items': [
{'product_id': 'F006', 'quantity': 4, 'price': 3.00},
{'product_id': 'G007', 'quantity': 2, 'price': 5.00},
{'product_id': 'H008', 'quantity': 1, 'price': 8.00},
]},
]
I want to calculate the total cost of each order and add it as a new key to each dictionary. You also want to add a new key called customer_name that contains the name of the customer associated with each order, which you can look up in a separate list of dictionaries that maps customer IDs to names (taking into consideration i don’t have all the customers name):
customers = [{'customer_id': 1001, 'name': 'Alice'},
{'customer_id': 1002, 'name': 'Bob'},
{'customer_id': 1003, 'name': 'Charlie'},
{'customer_id': 1004, 'name': 'jack'}]
I tried thisn but it didnt work
for order in orders:
for customer in customers:
if order['customer_id'] == customer['customer_id']:
print('Order id: ' + str(order['order_id']))
print('Customer name: ' + customer['name'])
total_price = 0
for line_item in order['line_items']:
total_price = line_item['quantity'] * line_item['price']
print(total_price)
print('-----------------------')
I am looking for something to return, something like 'total_cost': 32.5, 'customer_name': 'Alice'}
, at the end of the order of the costumer Alice
Answers:
I create a customer_map dictionary to map customer IDs to names. Then, I loop through the orders list to calculate the total cost of each order using map()
and a lambda function. I add the total_cost and customer_name keys to each order dictionary, by looking up the customer name in the customer_map using the customer_id key.
customer_map = {customer['customer_id']: customer['name'] for customer in customers}
for order in orders:
line_items = order['line_items']
total_cost = sum(map(lambda item: item['quantity'] * item['price'], line_items))
order['total_cost'] = total_cost
customer_id = order['customer_id']
# i get a KeyError when trying to look up the name of customer ID 1005 in the customer_map
# but this should do
if customer_id in customer_map:
order['customer_name'] = customer_map[customer_id]
else:
order['customer_name'] = 'Unknown'
# note that i relocate the output in the same variable( i hope this is what you want )
print(orders)
# return
# orders = [
# {'order_id': 1, 'customer_id': 1001, 'line_items':
# [{'product_id': 'A001', 'quantity': 2, 'price': 10.0},
# {'product_id': 'B002', 'quantity': 1, 'price': 5.0},
# {'product_id': 'C003', 'quantity': 3, 'price': 2.5}], 'total_cost': 32.5, 'customer_name': 'Alice'},
# {'order_id': 2, 'customer_id': 1002, 'line_items':
# [{'product_id': 'D004', 'quantity': 1, 'price': 20.0},
# {'product_id': 'E005', 'quantity': 2, 'price': 15.0}], 'total_cost': 50.0, 'customer_name': 'Bob'},
# {'order_id': 3, 'customer_id': 1003, 'line_items':
# [{'product_id': 'F006', 'quantity': 4, 'price': 3.0},
# {'product_id': 'G007', 'quantity': 2, 'price': 5.0},
# {'product_id': 'H008', 'quantity': 1, 'price': 8.0}], 'total_cost': 30.0, 'customer_name': 'Charlie'},
# {'order_id': 4, 'customer_id': 1004, 'line_items':
# [{'product_id': 'F006', 'quantity': 4, 'price': 3.0},
# {'product_id': 'G007', 'quantity': 2, 'price': 5.0},
# {'product_id': 'H008', 'quantity': 1, 'price': 8.0}], 'total_cost': 30.0, 'customer_name': 'jack'},
# {'order_id': 5, 'customer_id': 1005, 'line_items':
# [{'product_id': 'F006', 'quantity': 4, 'price': 3.0},
# {'product_id': 'G007', 'quantity': 2, 'price': 5.0},
# {'product_id': 'H008', 'quantity': 1, 'price': 8.0}], 'total_cost': 30.0, 'customer_name': 'Unknown'}]
I have a list of dictionaries that represent orders in an online store. Each dictionary contains keys for the order ID, customer ID, and a list of line items, where each line item is itself a dictionary containing keys for the product ID, quantity, and price
orders = [
{'order_id': 1, 'customer_id': 1001, 'line_items': [
{'product_id': 'A001', 'quantity': 2, 'price': 10.00},
{'product_id': 'B002', 'quantity': 1, 'price': 5.00},
{'product_id': 'C003', 'quantity': 3, 'price': 2.50},
]},
{'order_id': 2, 'customer_id': 1002, 'line_items': [
{'product_id': 'D004', 'quantity': 1, 'price': 20.00},
{'product_id': 'E005', 'quantity': 2, 'price': 15.00},
]},
{'order_id': 3, 'customer_id': 1003, 'line_items': [
{'product_id': 'F006', 'quantity': 4, 'price': 3.00},
{'product_id': 'G007', 'quantity': 2, 'price': 5.00},
{'product_id': 'H008', 'quantity': 1, 'price': 8.00},
]},
{'order_id': 4, 'customer_id': 1004, 'line_items': [
{'product_id': 'F006', 'quantity': 4, 'price': 3.00},
{'product_id': 'G007', 'quantity': 2, 'price': 5.00},
{'product_id': 'H008', 'quantity': 1, 'price': 8.00},
]},
{'order_id': 5, 'customer_id': 1005, 'line_items': [
{'product_id': 'F006', 'quantity': 4, 'price': 3.00},
{'product_id': 'G007', 'quantity': 2, 'price': 5.00},
{'product_id': 'H008', 'quantity': 1, 'price': 8.00},
]},
]
I want to calculate the total cost of each order and add it as a new key to each dictionary. You also want to add a new key called customer_name that contains the name of the customer associated with each order, which you can look up in a separate list of dictionaries that maps customer IDs to names (taking into consideration i don’t have all the customers name):
customers = [{'customer_id': 1001, 'name': 'Alice'},
{'customer_id': 1002, 'name': 'Bob'},
{'customer_id': 1003, 'name': 'Charlie'},
{'customer_id': 1004, 'name': 'jack'}]
I tried thisn but it didnt work
for order in orders:
for customer in customers:
if order['customer_id'] == customer['customer_id']:
print('Order id: ' + str(order['order_id']))
print('Customer name: ' + customer['name'])
total_price = 0
for line_item in order['line_items']:
total_price = line_item['quantity'] * line_item['price']
print(total_price)
print('-----------------------')
I am looking for something to return, something like 'total_cost': 32.5, 'customer_name': 'Alice'}
, at the end of the order of the costumer Alice
I create a customer_map dictionary to map customer IDs to names. Then, I loop through the orders list to calculate the total cost of each order using map()
and a lambda function. I add the total_cost and customer_name keys to each order dictionary, by looking up the customer name in the customer_map using the customer_id key.
customer_map = {customer['customer_id']: customer['name'] for customer in customers}
for order in orders:
line_items = order['line_items']
total_cost = sum(map(lambda item: item['quantity'] * item['price'], line_items))
order['total_cost'] = total_cost
customer_id = order['customer_id']
# i get a KeyError when trying to look up the name of customer ID 1005 in the customer_map
# but this should do
if customer_id in customer_map:
order['customer_name'] = customer_map[customer_id]
else:
order['customer_name'] = 'Unknown'
# note that i relocate the output in the same variable( i hope this is what you want )
print(orders)
# return
# orders = [
# {'order_id': 1, 'customer_id': 1001, 'line_items':
# [{'product_id': 'A001', 'quantity': 2, 'price': 10.0},
# {'product_id': 'B002', 'quantity': 1, 'price': 5.0},
# {'product_id': 'C003', 'quantity': 3, 'price': 2.5}], 'total_cost': 32.5, 'customer_name': 'Alice'},
# {'order_id': 2, 'customer_id': 1002, 'line_items':
# [{'product_id': 'D004', 'quantity': 1, 'price': 20.0},
# {'product_id': 'E005', 'quantity': 2, 'price': 15.0}], 'total_cost': 50.0, 'customer_name': 'Bob'},
# {'order_id': 3, 'customer_id': 1003, 'line_items':
# [{'product_id': 'F006', 'quantity': 4, 'price': 3.0},
# {'product_id': 'G007', 'quantity': 2, 'price': 5.0},
# {'product_id': 'H008', 'quantity': 1, 'price': 8.0}], 'total_cost': 30.0, 'customer_name': 'Charlie'},
# {'order_id': 4, 'customer_id': 1004, 'line_items':
# [{'product_id': 'F006', 'quantity': 4, 'price': 3.0},
# {'product_id': 'G007', 'quantity': 2, 'price': 5.0},
# {'product_id': 'H008', 'quantity': 1, 'price': 8.0}], 'total_cost': 30.0, 'customer_name': 'jack'},
# {'order_id': 5, 'customer_id': 1005, 'line_items':
# [{'product_id': 'F006', 'quantity': 4, 'price': 3.0},
# {'product_id': 'G007', 'quantity': 2, 'price': 5.0},
# {'product_id': 'H008', 'quantity': 1, 'price': 8.0}], 'total_cost': 30.0, 'customer_name': 'Unknown'}]