#!/usr/bin/env python
# coding: utf-8

# # Germany: LK Dachau (Bayern)
# 
# * Homepage of project: https://oscovida.github.io
# * Plots are explained at http://oscovida.github.io/plots.html
# * [Execute this Jupyter Notebook using myBinder](https://mybinder.org/v2/gh/oscovida/binder/master?filepath=ipynb/Germany-Bayern-LK-Dachau.ipynb)

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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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get_ipython().run_line_magic('config', "InlineBackend.figure_formats = ['svg']")
from oscovida import *


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overview(country="Germany", subregion="LK Dachau", weeks=5);


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overview(country="Germany", subregion="LK Dachau");


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compare_plot(country="Germany", subregion="LK Dachau", dates="2020-03-15:");


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# load the data
cases, deaths = germany_get_region(landkreis="LK Dachau")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Dachau")
print(f'Population of country="Germany", subregion="LK Dachau": {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](https://mybinder.org/v2/gh/oscovida/binder/master?filepath=ipynb/Germany-Bayern-LK-Dachau.ipynb)
# - 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](https://www.panosc.eu/))
# 
# --------------------

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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}")