covidplotter

Plot Johns Hopkins data of COVID-19 time series data for global and US cases, scaling by different factors.

This tool allows easy plotting of scaled transformations of COVID-19 time series data provided by CSSE at John Hopkins University (https://github.com/CSSEGISandData/COVID-19).

The tool checks a local clone of the time series data for updates and generates new plots, if necessary.

Scaling factors are defined per country in a separate JSON configuration file. The currently provided scaling factors are taken from English Wikipedia.

Plots

• Confirmed cases
• Deaths
• Recovered

How to recreate the plots

Tested requirements

• OS: Raspbian Buster
• GNU bash 5.0.3(1)
• GNU Make 4.2.1
• Git 2.20.1
• Python 3.7.3
  • matplotlib 3

Installation

git clone <repository url>
cd <repository url>
make dependencies

Usage

Delete output files:

make clean

Plot without updating the source data:

make -j 4

Plot after updating the source data:

make update -j 4

Using n threads with -j <n> is optional.

Notes:

• In order to change the countries and/or scaling factors, modify the JSON configuration in etc/scale_map.json.
• Run src/covidplotter.py for more options.