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https://github.com/chilipp/psyplot-o2a-jourfix-20210224

Presentation material for the O2A Jourfix on February 24th, 2021
https://github.com/chilipp/psyplot-o2a-jourfix-20210224

jupyter jupyter-notebook presentation psyplot python tutorial visualization

Last synced: about 1 month ago
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Presentation material for the O2A Jourfix on February 24th, 2021

Host: GitHub
URL: https://github.com/chilipp/psyplot-o2a-jourfix-20210224
Owner: Chilipp
License: cc-by-4.0
Created: 2021-02-23T22:55:10.000Z (almost 4 years ago)
Default Branch: master
Last Pushed: 2021-02-24T09:23:58.000Z (almost 4 years ago)
Last Synced: 2024-11-10T09:43:37.894Z (3 months ago)
Topics: jupyter, jupyter-notebook, presentation, psyplot, python, tutorial, visualization
Language: Jupyter Notebook
Homepage:
Size: 13.9 MB
Stars: 1
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

# Visualizing and analyzing HZG model data using the HCDC framework psyplot

Presentation material for the O2A Jourfix on February 24th, 2021

Philipp S. Sommer

## Note

Some of the features presented are still in development mode and cannot be
used with the latest libraries.

## About this presentation

This presentation uses material from the
[DKRZ TechTalk from November, 17th 2020][techtalk] and the presentation at the
[KS Seminar on January 28th, 2021][ks-seminar]. It is, however, less technical
and puts more emphasis on new developments concerning the visualization of
transects, and the FESOM model.

[techtalk]: https://github.com/Chilipp/psyplot-DKRZ-TechTalk-20201117
[ks-seminar]: https://github.com/Chilipp/psyplot-KS-Seminar-20210228

### Static version

This presentation is a jupyter notebook presented with [RISE][rise]. You can
access the raw notebook at
[psyplot-framework-presentation.ipynb](psyplot-framework-presentation.ipynb).

### interactive version on AWIs Jupyterhub

You can also run this presentation notebook in [jupyterhub](https://jupyterhub.awi.de). Use the `Python [conda env:Anaconda-Python3.7]` kernel and install the
latest development versions to explore all the options via:

```bash
python -m pip install --user -U \
git+https://github.com/Chilipp/gridded@dual_node_mesh \
git+https://github.com/Chilipp/psyplot@ugrid \
git+https://github.com/psyplot/psy-transect
```

Clonse this repository and open the jupyter notebook within the jupyterhub.

To explore the 3D-visualization, please have a look at the examples in the
[psy-vtk](https://github.com/psyplot/psy-vtk) repository

## License

The contents of this repository is published under the Creative Commons
Attribution 4.0 International Public License (CC BY 4.0).

See the [LICENSE](LICENSE) file for more details.