graph-polisher is a library that helps you clean your plotly figures.. This library is inspired by the book Storytelling with Data by Cole Nussbaumer Knaflic (https://www.kobo.com/us/en/ebook/storytelling-with-data).
Project description
Unclutterer
Unclutterer is a library that helps you clean your plotly figures. This library was inspired by the book "Storytelling with Data by Cole Nussbaumer Knaflic (https://www.kobo.com/us/en/ebook/storytelling-with-data).
Installation
pip install unclutterer
Testing
To test this project run:
pytest
Notebooks for examples
You can use this to see how the library modifies the plots. We are using unnotebook to plot the examples.
- Build and push
notebook
image:
docker build . -t unclutterer
- Run notebook
docker-compose up notebook
or
docker run --rm -it \
-v /Users/rigo/Documents/Projects/notebooks/stock-predictions:/notebooks \
-p 8899:8899 unclutterer
Usage
...
Deploying pip library
Build the pip library package to deploy to pip:
python3 setup.py sdist bdist_wheel
Publish to pip. You can follow steps here
Note that you will need to install twine and register your pypi. Usually in the file
~/.pypirc
python3 -m twine upload --repository pypi dist/*
Project details
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Source Distribution
Built Distribution
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