Interactive data visualization with python
Welcome! Looking for a fast and flexible visualization software? Here we present psyplot, an open source python project that mainly combines the plotting utilities of matplotlib and the data management of the xarray package and integrates them into a software that can be used via command-line and via a GUI!
The main purpose is to have a framework that allows a fast, attractive, flexible, easily applicable, easily reproducible and especially an interactive visualization of your data.
The ultimate goal is to help scientists in their daily work by providing a
flexible visualization tool that can be enhanced by their own visualization
scripts. psyplot can be used via command line and with the
graphical user interface (GUI) from the
psyplot-gui and
psy-view module.
If you want more motivation: Have a look into the About psyplot section.
The package is very new and there are many features that will be included in the future. So we are very pleased for feedback! Please simply raise an issue on GitHub.
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Documentation
Get in touch
Any quesions? Do not hessitate to get in touch with the psyplot developers.
Create an issue at the bug tracker
Chat with the developers in out team on mattermost
Subscribe to the mailing list and ask for support
See also the code of conduct, and our contribution guide for more information and a guide about good bug reports.
How to cite psyplot
When using psyplot, you should at least cite the publication in the Journal of Open Source Software:
Sommer, P. S.: The psyplot interactive visualization framework, The Journal of Open Source Software, 2, doi:10.21105/joss.00363, https://doi.org/10.21105/joss.00363, 2017.
Furthermore, each release of psyplot and it’s subprojects is associated with a DOI using zenodo.org. If you want to cite a specific version or plugin, please refer to the releases page of psyplot or the releases page of the corresponding subproject.
Acknowledgment
This package is being developed by Philipp S. Sommer at the Helmholtz Coastal Data Center (HCDC) of the Helmholtz-Zentrum Hereon.
I want to thank the matplotlib, xarray and cartopy developers for their great packages and of course the python developers for their fascinating work on this beautiful language.
A special thanks to Stefan Hagemann and Tobias Stacke from the Max-Planck-Institute of Meteorology in Hamburg, Germany for the motivation on this project and to the people of the Not yet visible agency for their advice in designing the logo and webpage.
Finally the author thanks the Swiss National Science Foundation (SNF) for their support. Funding for the author came from the ACACIA grant (CR10I2_146314) and the HORNET grant (200021_169598).