Assignment 3

0. Name & Z-ID (5 pts)

The first cell of your notebook should be a markdown cell with a line for your name and a line for your Z-ID. If you wish to add other information (the assignment name, a description of the assignment), you may do so after these two lines.

1. Serving Size Units (5 pts)

Find all of the possible values for serving size units. List each type only once!

2. Largest Serving Size (10 pts)

Write code to find the food item in the dataset with the largest serving size among those in grams (serving unit type is ‘g’). Output the name description and brand_owner of the food item. Remember that you will need to iterate through each element of the list, and each element is a dictionary which has various keys including serving_unit_size and name.

3. Category Counts (10 pts)

Write code to create a dictionary, category_counts that keeps track of how many items each food category (branded_food_category) has listed in our sample dataset. Next, use this dictionary to find and display the name of the category that has the largest number of items.

4. Add Unsaturated Fat (15 pts)

Update the list of each food item’s nutrition information to include the amount of unsaturated fat. This can be computed by subtracting the amount of saturated fat from the amount of total fat. You will need to add a new dictionary to the list of nutrition information. The keys for name and unit_type should be “Unsaturated Fat” and “G”, respectively. The amount is what you are computing via the subtraction. After computing this for all items, an item would, for example, now look like this:

{'fdc_id': 374367,
 'brand_owner': 'Swift-Eckrich Inc.',
 'brand_name': None,
 'description': 'PEPPERONI',
 'branded_food_category': 'Pepperoni, Salami & Cold Cuts',
 'ingredients': 'PORK, BEEF, SALT, CONTAINS 2% OR LESS OF FLAVORINGS, LACTIC ACID STARTER CULTURE, OLEORESIN OF PAPRIKA, SODIUM NITRITE, SPICES, SUGAR, BHA, BHT, CITRIC ACID.',
 'serving_size': 28.0,
 'serving_size_unit': 'g',
 'nutrition': [{'name': 'Fiber', 'amount': 0.0, 'unit_name': 'G'},
  {'name': 'Saturated Fat', 'amount': 14.29, 'unit_name': 'G'},
  {'name': 'Carbohydrates', 'amount': 3.57, 'unit_name': 'G'},
  {'name': 'Sodium', 'amount': 1786.0, 'unit_name': 'MG'},
  {'name': 'Total Fat', 'amount': 39.29, 'unit_name': 'G'},
  {'name': 'Protein', 'amount': 21.43, 'unit_name': 'G'},
  {'name': 'Calories', 'amount': 464.0, 'unit_name': 'KCAL'},
  {'name': 'Sugar', 'amount': 0.0, 'unit_name': 'G'},
  {'name': 'Unsaturated Fat', 'amount': 25.0, 'unit_name': 'G'}]}

5. Filter by Fiber Range (15 pts)

Write a function filter_by_fiber that takes two arguments, min_fiber and max_fiber, and returns a list of food items whose amount of fiber is in the specified range, inclusive. For each item, you will need to find the Fiber listing in the nutrition list. Do not assume that item will be in a particular index of the list! Then, test whether the item’s amount of fiber is in the specified range, only including it in the returned list if it satisfies the condition. For example, the list comprehension [d['description'] for d in filter_by_fiber(6.3,6.35)] should evaluate to:

For example,

['SISTERS FRUIT COMPANY, RED DELICIOUS SLICED APPLE CHIPS, LIGHT & CRISPY',
 'PINTO BEANS',
 'VANILLA ALMOND PREMIUM NATURALLY FLAVORED GRANOLA',
 "BUSH'S Red Beans in a Mild Chili Sauce 16 oz",
 'FRUIT & NUT GRANOLA, FRUIT & NUT',
 'VANILLA ALMOND WARM VANILLA FLAVOR PERFECTLY MIXED WITH SWEET HONEY AND SATISFYING ALMONDS PREMIUM GRANOLA, VANILLA ALMOND']

6. [CSCI 503 Only] Filter by Ingredients (15 pts)

Only CSCI 503 students need to complete this part. CSCI 490 students may complete it for extra credit.

Write a function filter_by_ingredients that will filter the food items by their ingredients. Specifically, given an ingredient (e.g. “Apple”), return the food items that have that ingredient. Note that you should do a case-insensitive comparison so the ingredient “apple” should return food items that list “APPLE”, “Apple”, “apple”, etc. Do not worry about “apple” also matching “pineapple” (this is extra credit). For example, len(filter_by_ingredients('apple') should evaluate to 605 and the list comprehension [d['description'] for d in filter_by_ingredients('saffron')] should evaluate to:

['WILD MUSHROOM & TRUFFLE',
 'ARTICHOKE HEARTS',
 'FLAN DESSERT MIX',
 'CHICKEN TIKKA MASALA WITH SAFFRON RICE, MEDIUM',
 'CON AZAFRAN SEASONING',
 'SEASONED YELLOWRICE']

Extra Credit

• CSCI 490 Students may complete Part 6 for extra credit.
• Update Part 6 so that it differentiates between individual ingredients. Then, for example, “apple” should not match “pineapple”.