python: numpy def coupons(my_list, on_sale, prices): ''' QUESTION 5 It's the time of week to go grocery shopping again! Given three arrays, one of what's on sale, one of your own list, and one of the prices, return an array of the items on your list that are on sale and more than five dollars. You have MORE coupons than you have groceries on your list- make sure to only use the coupons that correspond to your list. THIS MUST BE DONE IN ONE LINE Hint: use masking and slicing Args: my_list(np.array) on_sale(np.array) prices(np.array) Return: np.array >>> my_list = np.array(["eggs", "2% milk", "green onions", "whole wheat bread", "onions", "spinach", "peanut butter", "boxed spaghetti", "salt and vinegar chips", "alfredo sauce"]) >>> on_sale = np.array([True, False, True, True, True, True, False, False, False, True, False, True, False]) >>> prices = np.array([5.13, 4.29, 1.99, 5.19, 8.99, 3.50, 6.79, 2.19, 3.49, 2.09]) >> coupons(tracks, ratings) ['eggs' 'whole wheat bread' 'onions'] ''' # on_sale = np.array([True, False, True, True, True, True, False, False, False, True, False, True, False]) # my_list = np.array(["eggs", "2% milk", "green onions", "whole wheat bread", # "onions", "spinach", "peanut butter", "boxed spaghetti", # "salt and vinegar chips", "alfredo sauce"]) # prices = np.array([5.13, 4.29, 1.99, 5.19, 8.99, 3.50, 6.79, 2.19, 3.49, 2.09]) # print(coupons(my_list, on_sale, prices))

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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python: numpy 

def coupons(my_list, on_sale, prices):
    '''
    QUESTION 5
    It's the time of week to go grocery shopping again!
    Given three arrays, one of what's on sale, one of your own list, and one of the prices, return an array of the items on your list that are
    on sale and more than five dollars. You have MORE coupons than you have groceries on your list- make sure to only use the coupons
    that correspond to your list.

    THIS MUST BE DONE IN ONE LINE
    Hint: use masking and slicing

    Args:
        my_list(np.array)
        on_sale(np.array)
        prices(np.array)

    Return:
        np.array

    >>> my_list = np.array(["eggs", "2% milk", "green onions", "whole wheat bread",
                            "onions", "spinach", "peanut butter", "boxed spaghetti",
                            "salt and vinegar chips", "alfredo sauce"])
    >>> on_sale = np.array([True, False, True, True, True, True, False, False, False, True, False, True, False])
    >>> prices = np.array([5.13, 4.29, 1.99, 5.19, 8.99, 3.50, 6.79, 2.19, 3.49, 2.09])

    >> coupons(tracks, ratings)
    ['eggs' 'whole wheat bread' 'onions']

    '''


    # on_sale = np.array([True, False, True, True, True, True, False, False, False, True, False, True, False])
    # my_list = np.array(["eggs", "2% milk", "green onions", "whole wheat bread",
    #                         "onions", "spinach", "peanut butter", "boxed spaghetti",
    #                         "salt and vinegar chips", "alfredo sauce"])
    # prices = np.array([5.13, 4.29, 1.99, 5.19, 8.99, 3.50, 6.79, 2.19, 3.49, 2.09])
    # print(coupons(my_list, on_sale, prices))

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