A small example package to get raw data from NIJZ vaccinations dashboard
Project description
cepimose
Small library to parse raw data from NIJZ's PowerBI dashboards embedded in NIJZ stats page:
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)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cepimose-0.1.34.tar.gz
(32.3 kB
view details)
Built Distribution
cepimose-0.1.34-py3-none-any.whl
(23.7 kB
view details)
File details
Details for the file cepimose-0.1.34.tar.gz
.
File metadata
- Download URL: cepimose-0.1.34.tar.gz
- Upload date:
- Size: 32.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bfb24e3c51cbc7bc297a46ec5033cb9475e62d79e346c620e6bd6f74bbe5bd99 |
|
MD5 | 6aa8500ceda048dc15ef9493d9701eb5 |
|
BLAKE2b-256 | fb64a286df18e9c6320807333eb48affaca8b9a1b325e13f074a9b07f93fe488 |
File details
Details for the file cepimose-0.1.34-py3-none-any.whl
.
File metadata
- Download URL: cepimose-0.1.34-py3-none-any.whl
- Upload date:
- Size: 23.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 40fb7ce55bd4fcb6697fe3b146daac83102bbbf5e9815ce5ecd323458bdfaa83 |
|
MD5 | 6b1f34b64bf044adf7af01d4d0c90fa8 |
|
BLAKE2b-256 | 4bc8c7304602c9cdc97dc1dc42620c63d31c4b1d337d1257263b9bea42b10d12 |