graph-polisher 0.0.3

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).

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.

1. Build and push notebook image:

docker build . -t unclutterer

2. 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/*