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https://github.com/vizzuhq/ipyvizzu

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
https://github.com/vizzuhq/ipyvizzu

animation chart charting charts data-visualization dataviz graphing graphs ipython jupyter jupyter-notebook plotting python storytelling vizzu

Last synced: 2 months ago
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Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

Host: GitHub
URL: https://github.com/vizzuhq/ipyvizzu
Owner: vizzuhq
License: apache-2.0
Created: 2022-01-05T22:37:39.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2024-04-29T07:57:58.000Z (2 months ago)
Last Synced: 2024-04-29T08:48:00.875Z (2 months ago)
Topics: animation, chart, charting, charts, data-visualization, dataviz, graphing, graphs, ipython, jupyter, jupyter-notebook, plotting, python, storytelling, vizzu
Language: Jupyter Notebook
Homepage: https://ipyvizzu.vizzuhq.com
Size: 20.8 MB
Stars: 923
Watchers: 16
Forks: 88
Open Issues: 14
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Lists

awesome-jupyter - ipyvizzu - Animated data storytelling tool. (Visualization)
best-of-jupyter - GitHub - 15% open · ⏱️ 29.04.2024): (Interactive Widgets & Visualization)

README

        


  

    

  

  
ipyvizzu - Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax

  

    Documentation

    · Examples

    · Code reference

    · Repository

    · Blog

  


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# ipyvizzu

## About The Project

`ipyvizzu` is an animated charting tool for [Jupyter](https://jupyter.org),

[Google Colab](https://colab.research.google.com),

[Databricks](https://docs.databricks.com/notebooks),

[Kaggle](https://www.kaggle.com/code) and [Deepnote](https://deepnote.com)

notebooks among other platforms. `ipyvizzu` enables data scientists and analysts

to utilize animation for storytelling with data using `Python`. It's built on

the open-source `JavaScript`/`C++` charting library

[Vizzu](https://github.com/vizzuhq/vizzu-lib).

**There is a new extension of `ipyvizzu`,

[ipyvizzu-story](https://vizzuhq.github.io/ipyvizzu-story/)** with which the

animated charts can be presented right from the notebooks. Since

`ipyvizzu-story`'s syntax is a bit different to `ipyvizzu`'s, we suggest you to

start from the [ipyvizzu-story repo](https://github.com/vizzuhq/ipyvizzu-story)

if you're interested in using animated charts to present your findings live or

to share your presentation as an HTML file.

Similarly to `Vizzu`, `ipyvizzu` utilizes a generic dataviz engine that

generates many types of charts and seamlessly animates between them. It is

designed for building animated data stories as it enables showing different

perspectives of the data that the viewers can easily follow.

Main features:

- Designed with animation in focus;

- Defaults based on data visualization guidelines;

- Works with `Pandas` dataframe, while also `JSON` and inline data input is

  available;

- Auto scrolling feature to keep the actual chart in position while executing

  multiple cells.

## Installation

```sh

pip install ipyvizzu

```

Visit [Installation chapter](https://ipyvizzu.vizzuhq.com/latest/installation/)

for more options and details.

## Usage

You can create the animation below with the following code snippet.



  



```python

import pandas as pd

from ipyvizzu import Chart, Data, Config

df = pd.read_csv(

    "https://ipyvizzu.vizzuhq.com/latest/showcases/titanic/titanic.csv"

)

data = Data()

data.add_df(df)

chart = Chart(width="640px", height="360px")

chart.animate(data)

chart.animate(

    Config(

        {

            "x": "Count",

            "y": "Sex",

            "label": "Count",

            "title": "Passengers of the Titanic",

        }

    )

)

chart.animate(

    Config(

        {

            "x": ["Count", "Survived"],

            "label": ["Count", "Survived"],

            "color": "Survived",

        }

    )

)

chart.animate(Config({"x": "Count", "y": ["Sex", "Survived"]}))

```

## Documentation

Visit our [Documentation site](https://ipyvizzu.vizzuhq.com/latest/) for more

details and a step-by-step tutorial into `ipyvizzu` or check out our

[Example gallery](https://ipyvizzu.vizzuhq.com/latest/examples/).

## Environments

`ipyvizzu` can be used in a wide variety of environments, visit

[Environments chapter](https://ipyvizzu.vizzuhq.com/latest/environments/) for

more details.

- Notebooks

  - [Jupyter Notebook](https://ipyvizzu.vizzuhq.com/latest/environments/notebook/jupyternotebook/)

  - [Colab](https://ipyvizzu.vizzuhq.com/latest/environments/notebook/colab/)

  - [Databricks](https://ipyvizzu.vizzuhq.com/latest/environments/notebook/databricks/)

  - [DataCamp](https://ipyvizzu.vizzuhq.com/latest/environments/notebook/datacamp/)

  - [Deepnote](https://ipyvizzu.vizzuhq.com/latest/environments/notebook/deepnote/)

  - [JupyterLab](https://ipyvizzu.vizzuhq.com/latest/environments/notebook/jupyterlab/)

  - [JupyterLite](https://ipyvizzu.vizzuhq.com/latest/environments/notebook/jupyterlite/)

  - [Kaggle](https://ipyvizzu.vizzuhq.com/latest/environments/notebook/kaggle/)

  - [Noteable](https://ipyvizzu.vizzuhq.com/latest/environments/notebook/noteable/)

- App platforms

  - [Streamlit](https://ipyvizzu.vizzuhq.com/latest/environments/platform/streamlit/)

  - [Flask](https://ipyvizzu.vizzuhq.com/latest/environments/platform/flask/)

  - [Panel](https://ipyvizzu.vizzuhq.com/latest/environments/platform/panel/)

  - [Mercury](https://ipyvizzu.vizzuhq.com/latest/environments/platform/mercury/)

  - [Voilà](https://ipyvizzu.vizzuhq.com/latest/environments/platform/voila/)

- BI tools

  - [Mode](https://ipyvizzu.vizzuhq.com/latest/environments/bi/mode/)

- IDEs

  - [PyCharm](https://ipyvizzu.vizzuhq.com/latest/environments/ide/pycharm/)

  - [VSCode Python](https://ipyvizzu.vizzuhq.com/latest/environments/ide/vscode/)

## Extensions

- [ipyvizzu-story](https://ipyvizzu-story.vizzuhq.com/) adds presentation

  controls to present data stories live or to share them as an interactive HTML

  file.

## Contributing

We welcome contributions to the project, visit our contributing

[guide](https://ipyvizzu.vizzuhq.com/latest/CONTRIBUTING/) for further info.

## Contact

- Join our Slack if you have any questions or comments:

  [vizzu-community.slack.com](https://join.slack.com/t/vizzu-community/shared_invite/zt-w2nqhq44-2CCWL4o7qn2Ns1EFSf9kEg)

- Drop us a line at [email protected]

- Follow us on Twitter: [VizzuHQ](https://twitter.com/VizzuHQ)

## Usage Statistics

`ipyvizzu` collects aggregate usage statistics by default to follow the progress

and overall trends of our library. This feature is optional, and users can

choose to opt-out. However, we do not track, collect, or store any personal data

or personally identifiable information. Please note that even when this feature

is enabled, publishing anything made with `ipyvizzu` remains GDPR compatible.

For more details, please visit

[Analytics chapter](https://ipyvizzu.vizzuhq.com/latest/tutorial/chart_settings/#analytics).

## License

Copyright © 2022-2023 [Vizzu Inc.](https://vizzuhq.com)

Released under the

[Apache 2.0 License](https://ipyvizzu.vizzuhq.com/latest/LICENSE/).