Nteract: Making plotly for R, Julia, & Python work in nteract

[jackparmer]

embed_notebook() (for R), py.iplot() (for Python), and JupyterPlot() (for Julia) currently don't work out-of-the-box inside _nteract_ (they work great in vanilla Jupyter notebook however).

There's currently a workaround being proposed for Plotly's Python interface.

To help keep track, here are 3 separate issues in the repos of each language's interface:

• [x] Issue for R: https://github.com/ropensci/plotly/issues/768
• [x] Issue for Python: https://github.com/plotly/plotly.py/pull/562
• [x] Issue for Julia: https://github.com/spencerlyon2/PlotlyJS.jl/issues/90 ( @sglyon grabbed this)

📈 📊 ✨

[rgbkrk]

The Plotly.py one was recently completed by @theengineear. All that is left is R support.

Bonus points: Scala!?!

[jackparmer]

@rgbkrk Nice idea. @pbugnion might be interested in this, he initiated plotly's Scala client:
https://github.com/ASIDataScience/scala-plotly-client

[pbugnion]

Happy to help, though I won't have time to contribute to this directly. It's worth noting that the Scala Plotly client doesn't currently in 'offline' mode -- it dispatches to Plotly. The only way to visualise the results in interact would be through an iframe.

[jackparmer]

Nice job team. Full Plotly _nteract_ support now for R, Python, and Julia 👍

[lock[bot]]

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