Project Description¶

We are joining a Health and Leisure company to add an important new feature to their app.

In this project, we will use our Python skills to create a function that calculates calories and nutritional values based on user input. Our goal is to help customers make better dietary choices and improve their health.

Our task is to build a calorie and nutrition calculator. This tool will compute and display total calories, sugars, fats, and other nutrition details for different foods based on what the user enters.

We have a dataset named nutrition.json that contains nutritional information for many foods. Each value in this dataset represents the amount per 100 grams of the food.

Dataset Summary¶

nutrition.json

Column Description
food The name of the food.
calories Energy provided by the food, measured in kilocalories (kcal) per 100 grams.
total_fat Total fat content in grams per 100 grams.
protein Protein content in grams per 100 grams.
carbohydrate Total carbohydrate content in grams per 100 grams.
sugars Amount of sugars in grams per 100 grams.

Let's Get Started!¶

This project gives us a chance to build a real-world feature from scratch. It will demonstrate our programming skills while creating a useful tool that helps users improve their health and wellness. lth and wellness.

Enhancing the Diet Coach app by creating the nutritional_summary() function to calculate and return the total nutritional values.¶

In [1]:
# Import the json module
import json

# Open the nutrition.json file in read mode and load its content into a dictionary
with open('nutrition.json', 'r') as json_file:
    nutrition_dict = json.load(json_file)  # Load the JSON content into a dictionary
    
# Display the first 3 items of the nutrition dictionary
list(nutrition_dict.items())[:3]
Out[1]:
[('Cornstarch',
  {'calories': 381,
   'total_fat': 0.1,
   'protein': 0.26,
   'carbohydrate': 91.27,
   'sugars': 0.0}),
 ('Nuts, pecans',
  {'calories': 691,
   'total_fat': 72.0,
   'protein': 9.17,
   'carbohydrate': 13.86,
   'sugars': 3.97}),
 ('Eggplant, raw',
  {'calories': 25,
   'total_fat': 0.2,
   'protein': 0.98,
   'carbohydrate': 5.88,
   'sugars': 3.53})]
In [2]:
# Define a function to calculate the nutritional summary 

def nutritional_summary(foods):
    # Initialize result dictionary to store total nutritional values
    result_dict = {"calories": 0, "total_fat": 0, "protein": 0, "carbohydrate": 0, "sugars": 0} 
    
    # Process each food item
    for name, grams in foods.items():
        if name in nutrition_dict:
            # Get the nutritional information for the food item
            nutrition = nutrition_dict[name]
            # Calculate and add the nutritional values based on the given weight (grams)
            result_dict["calories"] += grams * nutrition["calories"] / 100
            result_dict["total_fat"] += grams * nutrition["total_fat"] / 100
            result_dict["protein"] += grams * nutrition["protein"] / 100
            result_dict["carbohydrate"] += grams * nutrition["carbohydrate"] / 100
            result_dict["sugars"] += grams * nutrition["sugars"] / 100
        else:
            # Return the name of the first food item not found in the nutrition_dict
            return name
    # Return the total nutritional values
    return result_dict

# Calling the function and checking the output
print(nutritional_summary({"Croissants, cheese": 150, "Orange juice, raw": 250}))
print(nutritional_summary({"Croissant": 150, "Orange juice": 250}))

{'calories': 733.5, 'total_fat': 32.0, 'protein': 15.55, 'carbohydrate': 96.5, 'sugars': 38.025}
Croissant