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Python package for interactive data visualization

Project description

docs Documentation Status Journal of Open Source Software
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Welcome! psyplot is an open source python project that mainly combines the plotting utilities of matplotlib and the data management of the xarray package. 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 and especially climate model developers in their daily work by providing a flexible visualization tool that can be enhanced by their own visualization scripts. psyplot can be used through the python command line and through the psyplot-gui module which provides a graphical user interface for an easier interactive usage.

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 (see also How to contribute in the docs).

You can see the full documentation on readthedocs.org.

Acknowledgment

This package has been developed by Philipp Sommer.

I want to thank the developers of the matplotlib, xarray and cartopy packages 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).

Note

Commits on github prior to version 1.0 were moved into another repository, the psyplot_old repository. This has been done because prior to version 1.0, the github repository contained all the reference figures used for testing which made the size of the repository too large.

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