epi-spread-visualizer

Tool to visualize disease spread based on input data.

Overview

With this library, I am creating a tool that will assist in visualizing the spread of a disease according to an inputted line listing of populations becoming sick over time, translating this data into a map that will change based on a slider simulating the passage of time. My library will use data visualization tools already in place, such as Plotly DASH, as well as some data-processing tools like Python Pandas, combining these two to make the final result.

Details

This project is a pure python project using modern tooling. It uses a Makefile as a command registry, with the following commands:

• make: list available commands
• make develop: install and build this library and its dependencies using pip
• make build: build the library using setuptools
• make lint: perform static analysis of this library with flake8 and black
• make format: autoformat this library using black
• make annotate: run type checking using mypy
• make test: run automated tests with pytest
• make coverage: run automated tests with pytest and collect coverage information
• make dist: package library for distribution

Installation

$ pip3 install epispread

Quick Start

from epispread import EpiSpread

my_epispread_object = EpiSpread(EpiSpread.FILE)
epi_instance.world.to_csv('world.csv', index=False)
epi_instance.plot_all()