README.md

cepimose

Small library to parse raw data from NIJZ's PowerBI dashboards embedded in NIJZ stats page:

• vaccination stats for Slovenia
• latest epidemic data

Examples

Prepare environment

python -mvenv env
. ./env/bin/activate
pip install cepimose

Examples

import pandas as pd
import cepimose

data = cepimose.vaccinations_by_day()
df = pd.DataFrame.from_dict(data)
print(df)

data = cepimose.vaccinations_by_age()
df = pd.DataFrame.from_dict(data)
print(df)

data = cepimose.vaccines_supplied_and_used()
df = pd.DataFrame.from_dict(data)
print(df)

Changelog

0.0.4

Added vaccines_supplied_by_manufacturer()

0.0.3

Added vaccinations_by_region()

0.0.2

Initial release

Dev

git clone https://github.com/sledilnik/py-cepimose
cd py-cepimose
pipenv install -d # install dependencies (including dev)
pipenv run test # run all tests
pipenv run testForSledilnik # run just tests for sledilnik.org
pipenv shell # run virtualenv shell
pipenv run fmt # format the code (also available as VS Code task)