pyfooda 0.1.7

A Python API for accessing USDA FoodData Central data

FoodData Central Python API

This package provides a simple, ready-to-use Python API for accessing and querying relevant data from the USDA FoodData Central database—no API key required. All data is processed locally from CSV files and exposed through a clean Python interface.

Installation

You can install the package from PyPI:

pip install pyfooda

Or install directly from the repository:

pip install git+https://github.com/yourusername/pyfooda.git

Features

• No API key required: Works entirely offline with preprocessed FoodData Central CSV files.
• Simple: Query food categories, nutrients, and portion information with a few lines of code.
• Search: Find foods by partial name.
• DataFrames: Access the raw fooddata and DRV DataFrames for custom analysis.

Example

import pyfooda as pf

# Find up to 10 foods matching a partial name
print(pf.find_closest_matches('apple'))

# Get the category of a food
print(pf.get_category('Apple, raw'))

# Get all nutrient values for a food
nutrients = pf.get_nutrients('Apple, raw')
print(nutrients)

# Get portion information
print(pf.get_portion_gram_weight('Apple, raw'))  # e.g., 138.0
print(pf.get_portion_unit_name('Apple, raw'))    # e.g., "medium"

# Get the raw DataFrames
fooddata_df = pf.get_fooddata_df()
drv_df = pf.get_drv_df()

API Reference

get_category(foodName)

Returns the food category for the given food name (case-insensitive). Returns 'Other' if not found.

get_nutrients(foodName)

Returns a dictionary of nutrient values for the given food name. Returns None if not found.

get_portion_gram_weight(foodName)

Returns the portion gram weight (float) for the given food name. Returns None if not found.

get_portion_unit_name(foodName)

Returns the portion unit name (string) for the given food name. Returns None if not found.

find_closest_matches(partialName)

Returns a list of up to 10 food names that contain the given partial name (case-insensitive).

get_fooddata_df()

Returns the fooddata DataFrame containing all food items and their nutrient values.

get_drv_df()

Returns the DRV (Dietary Reference Values) DataFrame containing nutrient reference values.

License

Test package

pip install -e .
python -c "import pyfooda; print(pyfooda.__version__)"

MIT License