Metadata-Version: 2.1
Name: nbfigtulz
Version: 0.5
Summary: Collection of tools to generate and display visualizations in JupyterLab
Home-page: https://github.com/avitase/nbfigtulz
Author: Nis Meinert
Author-email: nis.meinert@gmail.com
License: UNKNOWN
Description: # nbfigtulz
        [![Python 3.8](https://img.shields.io/badge/python-3.8-blue.svg)](https://www.python.org/downloads/release/python-380/)
        [![Documentation Status](https://readthedocs.org/projects/nbfigtulz/badge/?version=latest)](http://nbfigtulz.readthedocs.io/?badge=latest)
        [![PyPI](https://img.shields.io/pypi/v/nbfigtulz)](https://pypi.org/project/nbfigtulz/)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
        
        `nbfigtulz` is a small library to show and save visualizations made via [matplotlib](https://matplotlib.org/) with the aim to let the user conveniently render publication ready images by default while working in [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/). The main features of `nbfigtulz` are:
        - Images are generated and stored in the [PNG](https://en.wikipedia.org/wiki/Portable_Network_Graphics) and [PGF](https://en.wikipedia.org/wiki/Progressive_Graphics_File) format which lends itself perfectly for inclusion in [PDF/A-1b](https://de.wikipedia.org/wiki/PDF/A) documents.
        - [PNGs](https://en.wikipedia.org/wiki/Portable_Network_Graphics) are saved [Base64](https://en.wikipedia.org/wiki/Base64) encoded within a notebook. This makes the notebook free-standing and one can send raw notebooks to fellow researchers without having to remember to include various additional files such as images. Note that **one does not have to re-run the notebook to display the images**.
        - Users are encouraged to render small images with high-resolution. Ideally, these images can be included without rescaling into a document.
        
        ## Documentation
        Find our documentation [here](https://nbfigtulz.readthedocs.io).
        
        ## Examples
        In addition to our [documentation](https://nbfigtulz.readthedocs.io) we provide a short notebook with a few examples:
        - [example/notebook.ipynb](https://github.com/avitase/nbfigtulz/blob/main/example/notebook.ipynb)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: jupyterlab
