Skip to main content

Collection of tools to generate and display visualizations in JupyterLab

Project description

nbfigtulz

Python 3.8 Documentation Status PyPI Code style: black

nbfigtulz is a small library to show and save visualizations made via matplotlib with the aim to let the user conveniently render publication ready images by default while working in JupyterLab. The main features of nbfigtulz are:

  • Images are generated and stored in the PNG and PGF format which lends itself perfectly for inclusion in PDF/A-1b documents.
  • PNGs are saved 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.

Installation

nbfigtulz releases are available as wheel packages for macOS, Windows and Linux on PyPI. Install it using pip:

python -m pip install -U pip
python -m pip install -U nbfigtulz

Examples

In addition to our documentation we provide a short notebook with a few examples:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nbfigtulz-1.0.tar.gz (7.0 kB view hashes)

Uploaded Source

Built Distribution

nbfigtulz-1.0-py3-none-any.whl (7.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page