Metadata-Version: 2.1
Name: cepimose
Version: 0.1.2
Summary: A small example package to get raw data from NIJZ vaccinations dashboard
Home-page: https://github.com/sledilnik/py-cepimose
Author: sledilnik.org
Author-email: info@sledilnik.org
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/sledilnik/py-cepimose/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: requests

# cepimose

[![PyPI version](https://badge.fury.io/py/cepimose.svg)](https://pypi.org/project/cepimose)
[![Tests](https://github.com/sledilnik/py-cepimose/actions/workflows/test.yml/badge.svg)](https://github.com/sledilnik/py-cepimose/actions/workflows/test.yml)

Small library to parse raw data from NIJZ's PowerBI [dashboard](https://app.powerbi.com/view?r=eyJrIjoiYWQ3NGE1NTMtZWJkMi00NzZmLWFiNDItZDc5YjU5MGRkOGMyIiwidCI6ImFkMjQ1ZGFlLTQ0YTAtNGQ5NC04OTY3LTVjNjk5MGFmYTQ2MyIsImMiOjl9) displaying vaccination stats for Slovenia


## 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 tests
pipenv shell # run virtualenv shell
pipenv run fmt # format the code (also available as VS Code task)
```


