fpppy

Helper functions used in the code of Forecasting: Principles and Practice, the Pythonic Way by Rob J Hyndman, George Athanasopoulos, Azul Garza, Cristian Challu, Max Mergenthaler and Kin G Olivares.

The package provides plotting wrappers around utilsforecast (plot_series(), plot_series_stacked(), plot_diagnostics()) and a LinearRegression class that extends scikit-learn's with residuals, standard errors and prediction intervals.

pip install fpppy

To run the book's code, install the pinned versions in the book's requirements.txt, which includes fpppy. See the book's Using Python page.

Development setup

1. install uv

use uv to manage your virtual environments:

pip install uv

2. create a virtual environment

create an environment using python 3.10 (or your preferred version):

uv venv --python 3.10

3. activate the environment

activate the virtual environment:

source .venv/bin/activate

4. install dependencies

install the package with its development tools:

uv pip install -e ".[dev]"

5. install pre-commits

pre-commit install

ready to code

you're now all set to start building your project.