Multiplex is a Python library that builds on matplotlib, providing new visualizations to help you explore your data and explain it better.
Creating narrative-driven visualizations involves re-imagining matplotlib's plots. Multiplex follows best-practices to help you create visualizations. The library adds the capability to add a description to visualizations and moves the legend to the top.
In addition, Multiplex includes a brand new text visualization module to create text graphics or to annotate data anywhere. Multiplex also includes new matplotlib styles to help you present your data in the best way possible.
The instructions in this README.md file will get you a copy of the project up and running. For use-cases of Multiplex, check out the Jupyter Notebook examples in the examples directory. To read more about Multiplex, read the documentation.
Multiplex is based on matplotlib.
You can install matplotlib using python -m pip install -U matplotlib.
More details about it are available in matplotlib's repository.
You can install Multiplex using python -m pip install -U multiplex-plot.
The tests use unittest. Each visualization has its own unit tests. You can run the tests individually:
python3 -m unittest multiplex.tests.test_drawable
Or you can run the tests using the tests.sh script:
chmod +x tests.sh
./tests.sh
We use SemVer for versioning. For the versions available, see the tags on this repository.
- Nicholas Mamo - Library development - NicholasMamo
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details
- PurpleBooth for this README template
- Cole Nussbaumer Knaflic's Storytelling with Data for the inspiration