ICON C2SM-Meeting 2022/1
February 15th, 2022
Philipp S. Sommer
psyplot (https://psyplot.github.io) is a data visualization framework that integrates rich computational and mathematical software packages (such as xarray and matplotlib) into a flexible framework for visualization. It differs from most of the visual analytic softwares such that it focuses on extensibility in order to flexibly tackle the different types of analysis questions that arise in pioneering research. The design of the high-level API of the framework enables a simple and standardized usage from the command-line, python scripts or jupyter notebooks. A modular plugin framework enables a flexible development of the framework that can potentially go into many different directions. The additional enhancement with a flexible GUI makes it the only visualization framework that can be handled from the convenient command-line, as well as via point-click handling. It also allows to build further desktop applications on top of the existing framework.
In this seminar, I will show the main functionalities of psyplot, with a special focus on the visualization of unstructured grids (such as ICON), and the usage of psyplot via commandline and GUI. My demonstration will cover in particular
- the basic structure of a psyplot framework
- how to use psyplot in python scripts (and jupyter notebooks)
- a guide to the psyplot GUI
- psy-view: an ncview-like interface build upon psyplot
- how to reuse plot configurations and generate respective templates
This presentation uses material from the DKRZ TechTalk from November, 17th 2020. Lot's of it has been shown interactively in the GUI during the presentation.
This presentation is a jupyter notebook presented with [RISE][rise]. You can access the raw notebook at psyplot-framework-presentation.ipynb.
You can also execute the cells in this presentation interactively by clicking on
The contents of this repository is published under the Creative Commons Attribution 4.0 International Public License (CC BY 4.0).
See the LICENSE file for more details.
Copyright (c) 2022, Philipp S. Sommer, Hereon.