William Rigaut1, 2
1 Institut Néel, Centre National de la Recherche Scientifique, 38000 Grenoble, France
2 Université Grenoble Alpes, 38000 Grenoble, France
Advanced Data Visualization NEEL is coded in Python code with a Jupyter Notebook provided by Institut Néel. The package used to visualize and manipulate the data with python commands. A tool (DaHU) is already provided to quickly visualize the data. However, this Notebook is provided to extract data into xarrays to do more advanced analysis.
You can contact me for any issues at [email protected]
Available on Windows, MacOS, and Linux. Requires Python 3.8+.
You will need a recent version of python (3.8 or higher) in order to run the python code Installing Jupyter Notebook is also highly recommanded since a detail tutorial is provided.
Then you will need to create a new python environnement to import the required libraries,
you can do that with the following command in a terminal:
python3 -m venv .venv
and then:
source .venv/bin/activate
Finally to import all the libraries and to install an editable version:
pip install -e .
Once the installation is done, you can open the Notebook Advanced Data Visualization NEEL.ipynb
No example dataset is provided, contact me if you need an example.
For MaMMoS partners, HDF5 datasets are provided on Keeper.
If you require support, have questions, want to report a bug, or want to suggest an improvement, please contact me at [email protected]
MIT License
This work was financed by the French National Research Agency through the « Datamag » project (ANR-22-CE91-0008) and the European Union through the MaMMoS project (Grant number 101135546, HORIZON-CL4-2023-DIGITAL-EMERGING-01)