Python tools for analyzing the European gas system
Project description
eurogastp - Python tools for analyzing the European gas system
Description and features
This Python package facilitates downloading and processing data from the following transparency platforms (TPs):
- ENTSOG (https://transparency.entsog.eu/)
- GIE AGSI+ (https://agsi.gie.eu/)
- GIE ALSI (https://alsi.gie.eu/)
In the case of the ENTSOG TP, the package does not only help with merely downloading the data, but also with further processing it. The different functions allow for
- periodizing and re-indexing (resampling the data with "gas days" as fixed frequency),
- selecting and filtering (selecting the data of interest), and
- aggregating (computing the sum over several data of interest) the data. Due to the nature of the data and the format it comes in (what ENTSOG calls the "compact" format), these steps are often required for making best use of the data. In the case of the two GIE TPs, the data is far less complex and those extra steps are not required. It is easy enough to combine data from the GIE TPs with the (periodized and reindexed) data from the ENTSOG TP.
The package makes use of the Pandas package, thus results of the function calls are usually Pandas DataFrames.
Quick start
We suggest to use pip
to install eurogastp into your preferred Python
environment:
pip install eurogastp
If you want to download the very latest version from GitLab for use or development purposes, you can of course also clone the repository directly using Git:
git clone https://code.europa.eu/jrc-energy-security/eurogastp.git
In that case, you have to make sure that the newly created folder "eurogastp"
is added to your PYTHONPATH, so that you can import eurogastp
inside your
preferred Python environment.
For development and application we have used the Anaconda Python Distribution and Python 3.8 on Windows 10. However, it should also work within other Python environments.
To start off, there is a Jupyter notebook with a full example in the Examples directory that you can follow along.
Dependencies
eurogastp depends on the following 3rd-party Python packages:
pandas -> BSD-3-Clause Licence
numpy -> BSD-3-Clause Licence
requests -> Apache 2.0 Licence
tqdm -> MIT License
Python -> Python Software Foundation (PSF) License Agreement
openpyxl -> MIT License
pytables -> BSD 3-Clause License
eurogastp does not contain any code from these packages, neither in original nor in modified form. They are merely software dependencies for the user to run eurogastp on her own machine.
More details about the licenses of the 3rd-party software can be found in the attached Notice.txt.
Copyright notice
Copyright (C) 2022 European Union
Licensed under the EUPL, Version 1.2 or – as soon they will be approved by the European Commission – subsequent versions of the EUPL (the "Licence"); You may not use this work except in compliance with the Licence. You may obtain a copy of the Licence at:
https://joinup.ec.europa.eu/software/page/eupl5
Unless required by applicable law or agreed to in writing, software distributed under the Licence is distributed on an "AS IS" basis, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Licence for the specific language governing permissions and limitations under the Licence.
Main developers
This software was initially developed by staff of the Joint Research Centre (JRC) of the European Commission (EC), Petten, Netherlands.
Initial contributors are:
- Daniel Jung (EC-JRC) daniel.jung@ec.europa.eu
- Jean-Francois Vuillaume (EC-JRC) Jean-Francois.VUILLAUME@ec.europa.eu
- Ricardo Fernandez-Blanco Carramolino (EC-JRC) Ricardo.CARRAMOLINO@ec.europa.eu
How to contribute
For ways to contribute please refer to the separate document contributing.md.
References
Jung, D., Vuillaume, J., Fernandez Blanco Carramolino, R., Filipe Calisto, H., Rodriguez Gomez, N. and Bolado Lavin, R., Tools for analysing the European natural gas system with public data – The Python package eurogastp, EUR 31281 EN, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-58764-4, doi:10.2760/153669, JRC130771; https://publications.jrc.ec.europa.eu/repository/handle/JRC130771.
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