Restart

Restart is an open source tool for PPE forecasting. As illustrated below, our model factors in several different sources of data in order to inform its projections.

The aim of this project is to provide a robust and modular infrastructure for generating PPE projections based on data that is rapidly changing and evolving.

Installation

As a Python package this project is easily available through PyPi. To install with pip:

pip install restart

Note that we require Python 3.8 or greater.

Usage

The RestartModel class is the main interface for generating models. The following block of code shows how to instantiate a statewide model for the state of Washington (using Bureau of Labor Statistics data to specify the population).

from restart import RestartModel

restart = RestartModel(population='oes', state='Washington')
model = restart.model

From here, you can access data fields for various aspects of the model. For example, you can access detailed population breakdown in a Pandas dataframe as follows:

population = model.population.population_pP_tr.df

The stockpile interface is currently in the process of being greatly simplified.

For examples of this in use, see the notebooks in restart-notebooks, which demonstrate how to generate projections, override default assumptions, and visualize data within the model.

Data Sources

All data currently used by this package can be found in the restart_datasets package. Data being used in the forthcoming V3 release isn't publicly availble yet, but it will be released in the coming weeks.