Package: ipyvizzu
ipyvizzu- Build animated charts in Jupyter Notebook and similar environments with a simple Python syntaxDocumentation·Examples·Code reference·Repository·BlogipyvizzuAbout The Projectipyvizzuis an animated charting tool forJupyter,Google Colab,Databricks,KaggleandDeepnotenotebooks among other platforms.ipyvizzuenables data scientists and analysts
to utilize animation for storytelling with data usingPython. It's built on
the open-sourceJavaScript/C++charting libraryVizzu.There is a new extension ofipyvizzu,ipyvizzu-storywith which the
animated charts can be presented right from the notebooks. Sinceipyvizzu-story's syntax is a bit different toipyvizzu's, we suggest you to
start from theipyvizzu-story repoif you're interested in using animated charts to present your findings live or
to share your presentation as an HTML file.Similarly toVizzu,ipyvizzuutilizes 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 withPandasdataframe, while alsoJSONand inline data input is
available;Auto scrolling feature to keep the actual chart in position while executing
multiple cells.InstallationpipinstallipyvizzuVisitInstallation chapterfor more options and details.UsageYou can create the animation below with the following code snippet.importpandasaspdfromipyvizzuimportChart,Data,Configdf=pd.read_csv("https://ipyvizzu.vizzuhq.com/0.17/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"]}))DocumentationVisit ourDocumentation sitefor more
details and a step-by-step tutorial intoipyvizzuor check out ourExample gallery.Environmentsipyvizzucan be used in a wide variety of environments, visitEnvironments chapterfor
more details.NotebooksJupyter NotebookColabDatabricksDataCampDeepnoteJupyterLabJupyterLiteKaggleNoteableApp platformsStreamlitFlaskPanelMercuryVoilàBI toolsModeIDEsPyCharmVSCode PythonExtensionsipyvizzu-storyadds presentation
controls to present data stories live or to share them as an interactive HTML
file.ContributingWe welcome contributions to the project, visit our contributingguidefor further info.ContactJoin our Slack if you have any questions or comments:vizzu-community.slack.comDrop us a line athello@vizzuhq.comFollow us on Twitter:VizzuHQUsage Statisticsipyvizzucollects 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 withipyvizzuremains GDPR compatible.
For more details, please visitAnalytics chapter.LicenseCopyright © 2022-2023Vizzu Inc.Released under theApache 2.0 License.