Metadata-Version: 2.1
Name: multiplex-plot
Version: 0.3.5
Summary: Multiplex: visualizations that tell stories
Home-page: https://github.com/NicholasMamo/multiplex-plot
Author: Nicholas Mamo
Author-email: nicholasmamo@gmail.com
License: UNKNOWN
Description: ![Multiplex](https://raw.githubusercontent.com/NicholasMamo/multiplex-plot/master/assets/logo.png)
        
        # Multiplex
        
        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 modul to create text graphics or to annotate data anywhere on the plot,
        - A brand new graph visualization,
        - New matplotlib styles to make your data stand out.
        
        ![Example time series](https://raw.githubusercontent.com/NicholasMamo/multiplex-plot/master/examples/exports/3-temperatures.png)
        
        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](https://github.com/NicholasMamo/multiplex-plot/tree/master/examples) directory.
        To read more about Multiplex, read the [documentation](https://nicholasmamo.github.io/multiplex-plot/).
        
        ### Prerequisites
        
        Multiplex is based on [matplotlib](https://github.com/matplotlib/matplotlib).
        You can install matplotlib using `python -m pip install -U matplotlib`.
        More details about it are available in [matplotlib's repository](https://github.com/matplotlib/matplotlib).
        
        ### Installing
        
        You can install Multiplex using `python -m pip install -U multiplex-plot`.
        
        ## Running the tests
        
        The tests use [unittest](https://docs.python.org/3/library/unittest.html).
        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
        ```
        
        ## Built With
        
        * [matplotlib](https://github.com/matplotlib/matplotlib)
        
        ## Versioning
        
        We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/NicholasMamo/multiplex-plot/tags).
        
        ## Authors
        
        * **Nicholas Mamo** - *Library development* - [NicholasMamo](https://github.com/NicholasMamo)
        
        ## License
        
        This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details
        
        ## Acknowledgments
        
        * [PurpleBooth](https://gist.github.com/PurpleBooth/109311bb0361f32d87a2) for this README template
        * Cole Nussbaumer Knaflic's [Storytelling with Data](http://www.storytellingwithdata.com/) for the inspiration
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3
Description-Content-Type: text/markdown
