# Dynamic/Interactive posterior plots?

**URL:** <https://discourse.pymc.io/t/dynamic-interactive-posterior-plots/6900>\
**Category:** Questions\
**Created:** [March 4, 2021, 5:18pm UTC](https://discourse.pymc.io/t/dynamic-interactive-posterior-plots/6900 "2021-03-04T17:18:16Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![jbuddy\_13](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/jbuddy_13/32/5900_2.png) [@jbuddy\_13](https://discourse.pymc.io/u/jbuddy_13)\
**Post date:** [March 4, 2021, 5:18pm UTC](https://discourse.pymc.io/t/dynamic-interactive-posterior-plots/6900/1 "2021-03-04T17:18:16Z")

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Are there are any available tools for interactive posterior plots? For example, the library, PlotLy, allows for mouse hover, and dynamically displays content (say the corresponding x/y value.)

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**Author:** ![OriolAbril](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/oriolabril/32/2497_2.png) [@OriolAbril](https://discourse.pymc.io/u/OriolAbril)\
**Post date:** [March 4, 2021, 6:21pm UTC](https://discourse.pymc.io/t/dynamic-interactive-posterior-plots/6900/2 "2021-03-04T18:21:49Z")

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You can use the bokeh backed in ArviZ to get some interactivity, [Redirecting to new ArviZ documentation host: ReadTheDocs](https://arviz-devs.github.io/arviz/examples/plot_posterior.html) example has two tabs, to show how each backend looks like. The hover tool for example is available by default and you can use it on the website itsef. The tools available can be controlled to some extent via the [`plot.bokeh.tools` rcParam](https://github.com/arviz-devs/arviz/blob/main/arvizrc.template#L42), docs on bokeh tools: [https://docs.bokeh.org/en/latest/docs/user\_guide/tools.html](https://docs.bokeh.org/en/latest/docs/user_guide/tools.html)

For even cooler plots and enhanced interactivity, you can try @evdoxiataka package: [GitHub - evdoxiataka/ipme: An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".](https://github.com/evdoxiataka/ipme) which was also featured in the following PyMCon talk:

> [@Automatic Transformation of Bayesian Probabilistic Models Into Interactive Visualizations by Evdoxia Taka](https://discourse.pymc.io/t/automatic-transformation-of-bayesian-probabilistic-models-into-interactive-visualizations-by-evdoxia-taka/6015):
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> Talk Abstract Automatic transformation of Bayesian probabilistic models into interactive visualisations: models expressed in a probabilistic programming language are translated automatically into interactive multiverse diagrams, a graphical representation of the model’s structure at varying levels of granularity, with seamless integration of uncertainty visualisation. A concrete implementation in Python that translates probabilistic programs to interactive multiverse diagrams will be presented …

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<div class="post-metadata">

**Author:** ![jbuddy\_13](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/jbuddy_13/32/5900_2.png) [@jbuddy\_13](https://discourse.pymc.io/u/jbuddy_13)\
**Post date:** [March 4, 2021, 7:54pm UTC](https://discourse.pymc.io/t/dynamic-interactive-posterior-plots/6900/3 "2021-03-04T19:54:24Z")

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Wow, thank you!