Guyana¶

Homepage of project: https://oscovida.github.io
Plots are explained at http://oscovida.github.io/plots.html
Execute this Jupyter Notebook using myBinder

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import datetime
import time

start = datetime.datetime.now()
print(f"Notebook executed on: {start.strftime('%d/%m/%Y %H:%M:%S%Z')} {time.tzname[time.daylight]}")

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%config InlineBackend.figure_formats = ['svg']
from oscovida import *

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overview("Guyana", weeks=5);

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overview("Guyana");

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compare_plot("Guyana", normalise=True);

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# load the data
cases, deaths = get_country_data("Guyana")

# get population of the region for future normalisation:
inhabitants = population("Guyana")
print(f'Population of "Guyana": {inhabitants} people')

# compose into one table
table = compose_dataframe_summary(cases, deaths)

# show tables with up to 500 rows
pd.set_option("max_rows", 500)

# display the table
table

Explore the data in your web browser¶

If you want to execute this notebook, click here to use myBinder
and wait (~1 to 2 minutes)
Then press SHIFT+RETURN to advance code cell to code cell
See http://jupyter.org for more details on how to use Jupyter Notebook

Acknowledgements:¶

Johns Hopkins University provides data for countries
Robert Koch Institute provides data for within Germany
Atlo Team for gathering and providing data from Hungary (https://atlo.team/koronamonitor/)
Open source and scientific computing community for the data tools
Github for hosting repository and html files
Project Jupyter for the Notebook and binder service
The H2020 project Photon and Neutron Open Science Cloud (PaNOSC)

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print(f"Download of data from Johns Hopkins university: cases at {fetch_cases_last_execution()} and "
      f"deaths at {fetch_deaths_last_execution()}.")

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# to force a fresh download of data, run "clear_cache()"

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print(f"Notebook execution took: {datetime.datetime.now()-start}")