nszoni / ipyvizzu-story

Build, present and share animated data stories in Jupyter Notebook and similar environments.

ipyvizzu-story - Build, present and share animated data stories in Jupyter Notebook and similar environments

Documentation · Examples · Code reference · Repository

ipyvizzu-story

About The Extension

ipyvizzu-story is an extension of the animated charting tool ipyvizzu that enables users to create and present interactive data presentations within the data science notebook of their choice and to share them as an HTML file. The extension provides a widget that contains the presentation and adds controls for navigating between slides - predefined stages within the story being presented. Navigation also works with keyboard shortcuts - arrow keys, PgUp, PgDn, Home, End - and you can also use a clicker to switch between the slides.

Installation

pip install ipyvizzu-story

Visit Installation chapter for more options and details.

Usage

You can check and download the code behind the animation on the top of the page in our Example gallery.

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

from ipyvizzu import Data, Config
from ipyvizzustory import Story, Slide, Step

data = Data()
data.add_series("Foo", ["Alice", "Bob", "Ted"])
data.add_series("Bar", [15, 32, 12])
data.add_series("Baz", [5, 3, 2])

story = Story(data=data)

slide1 = Slide(
    Step(
        Config({"x": "Foo", "y": "Bar"}),
    )
)
story.add_slide(slide1)

slide2 = Slide(
    Step(
        Config({"color": "Foo", "x": "Baz", "geometry": "circle"}),
    )
)
story.add_slide(slide2)

story.play()

Documentation

Visit our Documentation site for more details and a step-by-step tutorial into ipyvizzu-story or check out our Example gallery.

Environments

ipyvizzu-story can be used in a wide variety of environments, visit Environments chapter for more details.

• Notebooks
  • Jupyter Notebook
  • Colab
  • Databricks
  • DataCamp
  • Deepnote
  • JupyterLab
  • JupyterLite
  • Kaggle
  • Noteable
• App platforms
  • Streamlit
  • Flask
  • Panel
  • Mercury/mljar
  • Voilà
• BI tools
  • Mode
• IDEs
  • PyCharm
  • VSCode Python
• Python

Contributing

We welcome contributions to the project, visit our Contributing guide for further info.

Contact

• Join our Slack if you have any questions or comments: vizzu-community.slack.com
• Drop us a line at [email protected]
• Follow us on Twitter: VizzuHQ

License

Copyright © 2022-2023 Vizzu Inc.

Released under the Apache 2.0 License.