pyeudatnat

Python module for the automated and metadata-based collection, ingestion and formatting of raw EU data from national providers.

documentation	available at: ...
status	since 2020 – in construction
contributors
license	EUPL

Quick install and start

Once installed, the module can be imported simply:

>>> import pyeudatnat

Notebook examples

• A basic example regarding healthcare services to start with the module.
• ...

Usage

Manual setting

You will need first to create a special class given the metadata associated each the national data:

>>> from pyeudatnat import base
>>> NewDataCategory = base.datnatFactory(cat = 'new')

Following, it is pretty straigthforward to create an instance of a national dataset:

>>> datnat = NewDataCategory()
>>> datnat.load_data()
>>> datnat.format_data()
>>> datnat.save_data(fmt = 'csv')

Note the output schema (see also "attributes" in the documentation below) should be defined outside, e.g. in an external config.py file.

Features

• Various possible geocoding, including GISCO.

Default coder is GISCO, but you can use a different geocoder also using an appropriate key:

• Automated translation,
• ...

Software resources/dependencies

• Packages for data handling: pandas.
• Packages for geocoding: geopy, pyproj and happygisco.
• Package for JSON formatting: geojson.
• Package for translations: googletrans.