Pycovid-19 
COVID-19 Python plots and maps
This small package allows for downloading and plotting covid-19 confirmed cases, recovered and deaths from data gathered by the John Hopkins University. It allows for country evolutions to be compared between them, as well as for prevalence to be calculated.
Basic usage
Jupyter notebook
Launch Binder to get access to the online interactive Jupyter notebook.
Once you are in the online Jupyter Lab, you just has to open the covid-notebook
notebook, and adapt the different functions to your own needs (countries,
case type, type of visualization, etc.).
Local installation
To install the package locally, the following line should do the trick:
$ pip install pycovid-19
See also
Louis Gostiaux's package
1 maintainer
Metadata
1 maintainer
Release files for pycovid-19 2.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pycovid-19-2.0.1.tar.gz | 12.6 kB | Details |
Release files / pycovid-19-2.0.1.tar.gz
| Download URL | pycovid-19-2.0.1.tar.gz |
|---|---|
| Size | 12.6 kB |
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|
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