Tool to visualize disease spread based on input data.
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.
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 commandsmake develop
: install and build this library and its dependencies usingpip
make build
: build the library usingsetuptools
make lint
: perform static analysis of this library withflake8
andblack
make format
: autoformat this library usingblack
make annotate
: run type checking usingmypy
make test
: run automated tests withpytest
make coverage
: run automated tests withpytest
and collect coverage informationmake dist
: package library for distribution
$ pip3 install epispread
from epispread import EpiSpread
EpiSpread.run_query()