python:numpy  def shoe_shopping(shoe_arr): ''' QUESTION 4 You're shopping on a budget and want to determine the cheapest shoe brand given an array of brands and prices. Return the brand with the lowest average price. Hint: You should create a new array of the prices with the correct dtype. Args: shoe_list(np.arry) Return:               string >>> shoe_list1 = np.array([["Nike", "Adidas", "New Balance"], ["110.99", "135.99", "94.99"], ["85.99", "150.99", "105.99"], ["225.99", "145.99", "130.99"]]) >>> shoe_shopping(shoe_list1) 'New Balance' '''  # shoe_arr1 = np.array([["Nike", "Adidas", "New Balance"], # ["110.99", "135.99", "94.99"], # ["85.99", "150.99", "105.99"], # ["225.99", "145.99", "130.99"]]) # print(shoe_shopping(shoe_arr1)) # shoe_arr2 = np.array([["Converse", "Vans", "Dr. Martens", "Steve Madden"], # ["82.99", "250.99", "180.99", "109.99"], # ["99.99", "150.99", "115.99", "75.99"], # ["125.99", "115.99", "110.99", "99.99"]]) # print(shoe_shopping(shoe_arr2))

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Array

The simplest way to start thinking about an array is as a collection, or a set of elements. In programming, these elements may be constants, variables, functions and pointers.