Interactive data visualization with python

psyplot logo

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 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.

docs Documentation Status Journal of Open Source Software
tests Travis AppVeyor Requirements Status Coverage
package PyPI Package latest release conda Latest github release
implementations Supported versions Supported implementations

How to cite psyplot

When using psyplot, you should at least cite the publication in the Journal of Open Source Software:

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.

BibTex - EndNote

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 has been developed by Philipp Sommer.

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).

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