Skip to main content

Animated Chart Presentation in Jupyter Notebook.

Project description

ipyvizzu-story demo

ipyvizzu-story Animated Chart Presentation in Jupyter Notebook

Documentation · Examples · Reference · Repository

PyPI version Conda Version CI-CD

ipyvizzu-story

About The Extension

ipyvizzu-story is an extension of ipyvizzu that enables users to create interactive presentations within the data science notebook of their choice. 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. Since ipyvizzu-story's synthax is a bit different to ipyvizzu's, we suggest you to start from the ipyvizzu repo if you're interested in building animated charts but not necessarly presenting them live or to share your presentation as an HTML file.

Installation

pip install ipyvizzu-story

Visit Installation chapter of our documentation site for more details about installation.

Usage

You can check the code behind the animation on the top of the page in HTML or download it as an ipynb file.

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

ipyvizzu

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.play()

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

Environment support

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

Contributing

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

Contact

License

Copyright © 2022 Vizzu Kft..

Released under the Apache 2.0 License.

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

ipyvizzu-story-0.4.0.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ipyvizzu_story-0.4.0-py3-none-any.whl (16.0 kB view details)

Uploaded Python 3

File details

Details for the file ipyvizzu-story-0.4.0.tar.gz.

File metadata

  • Download URL: ipyvizzu-story-0.4.0.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for ipyvizzu-story-0.4.0.tar.gz
Algorithm Hash digest
SHA256 f56e92573e14812ca8280bec4e6615f69f1f66eea8f6b6306dff02fe811c00f2
MD5 4d9eb1db66cd96d426fcd7ae547fc8fa
BLAKE2b-256 1601bd93cb00d1182a252e3a5bbd3739e84523599e5225eb415775e3718f60ab

See more details on using hashes here.

File details

Details for the file ipyvizzu_story-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: ipyvizzu_story-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 16.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for ipyvizzu_story-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 22dcd49c5479a815ae167faa6bf85885b53485037fac1e0b4b174001c08c9f19
MD5 867d766480140eee76f7c3bcda0ffc99
BLAKE2b-256 d3279be4bdac74396c1bcb32b0438e8fbaf9ab11b4e7e53d5d1ec5264c84924c

See more details on using hashes here.

Supported by

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