|Copyright:||GNU Free Documentation License 1.3 with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts|
This Cookbook explains how to embed Matplotlib into GTK3 using Python 3. The tutorials will start out simple, and slowly increase in difficulty. The examples will focus on education and application of mathematics and science. The goal is to make the reader a independent developer of scientific applications that process and graph data.
If you would like to add your own examples to this tutorial, please create an issue or pull-request at the github repository (https://github.com/spiessbuerger/GTK3-Matplotlib-Cookbook).
To follow the examples you should have access to GTK+ 3.x, Python 3.x, Matplotlib 1.3.x and Glade 3.16.x or a more recent version.
In order to follow along with the Cookbook it is recommended to go through a Python 3.x tutorial (e.g. https://docs.python.org/3.4/tutorial/) and a tutorial about the Python bindings of GTK 3.x (e.g. http://python-gtk-3-tutorial.readthedocs.org/).
- Scientific Python
- GTK3 Reference
News and Comments¶
The fourth chapter about entering data is finished. I also decided to start code reviewing with Landscape. The score was 63 % on standard settings and 23 % on high (meaning very strict code reviewing). The low score is mostly caused by the conf.py file from Sphinx, my usage of “old classes” and Landscape complaining about the Gtk specific code. I will try to deal with the issues first, before uploading more chapters.
Third chapter about zooming closer to datapoints is done. Currently I am just adding examples when I’m pleased with them. I will reorganize the book once the content is done. The new example relies heavily on classes. Does anybody reading this think that the amount of explanation is sufficient?
This Cookbook is not finished and will be gradually developed in the coming months. If you would like to participate you can mail me or fork the repository. I am a beginning programmer, so the presented code might not be optimal. If you find any sub-optimal sections please write me, or create an issue or pull request on Github.
- 1. Hello plot!
- 2. Matplotlib-Toolbar
- 3. Zooming in on data
- 4. Entering data