https://github.com/vida-nyu/interactive-visualization-jupyter-notebooks
https://github.com/vida-nyu/interactive-visualization-jupyter-notebooks
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/vida-nyu/interactive-visualization-jupyter-notebooks
- Owner: VIDA-NYU
- License: mit
- Created: 2020-12-21T23:52:44.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-04-13T03:44:24.000Z (about 4 years ago)
- Last Synced: 2025-01-24T15:36:33.493Z (4 months ago)
- Language: Jupyter Notebook
- Size: 9.04 MB
- Stars: 1
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Paper: Interactive Visualization in Jupyter Notebook
Jorge Piazentin Ono, Juliana Freire, Claudio T. Silva
New York University
Also check out [notebookJS](https://github.com/jorgehpo/notebookJS): seamless JavaScript integration in Python Notebooks
### Abstract
Interactive visualizations are at the core of the exploratory data analysis process, enabling users to directly manipulate and gain insights from data. In this paper, we present three different ways in which interactive visualizations can be included in Jupyter Notebooks, namely 1) matplotlib callbacks, 2) visualization toolkits and 3) embedding HTML visualizations. We hope that this paper will help developers to select the best tools to build their interactive charts in Jupyter Notebooks.
### How to compile:
Paper and code are available in paper.ipynb
To compile, install nbconvert and pandoc. Run:
```sh
jupyter nbconvert --config ipython_nbconvert_config.py
```