On Aug 23, 2016, at 9:16 AM, Reuben Jacobs <reuben.jacobs1@gmail.com> wrote:
Is there an appropriate way to create a violin plot from a complex dataframe without using seaborn and mpl.to_bokeh() ?
On Mon, Aug 22, 2016 at 4:19 PM, Bryan Van de Ven <bryan@bokeh.org> wrote:
For this kind of operation, you will probably have to create and manage bokeh Documents explicitly, instead of relying on the (single) implicit "current document". You can see examples of this in the examples/models directory of the GH repo. Note thi is just speculation, without a minimal test case to run or examine its hard to say anything more.
Also please note: both the third-part projects mpld3 and mplexporter (which bokeh uses to provide partial mpl compat) are currently unmaintained and unsupported. As a result Bokeh MPL support is fragile, at best. I strongly recommend using native Bokeh APIs (e.g. bokeh.plotting) whenever possible.
Thanks,
Bryan
> On Aug 22, 2016, at 3:12 PM, Reuben Jacobs <reuben.jacobs1@gmail.com> wrote:
>
> Hi,
>
> I just changed my Flask server to serve multiple bokeh plots by using multiple requests from the front end to the back end. I.E. if there is 6 plots to load I make 6 request all on DOM ready.
>
> The idea here is that I can send out 6 requests at the same time and some might finish before others thus (placing each plot on the page as soon as ready) saving me some time. The server used to load all of the plots in one method and make the front end wait until it they were all done done. However, I am now getting this error:
>
> RuntimeError: dictionary changed size during iteration
>
> This error occurs on this execution of built in bokeh functionality
>
> mpl.to_bokeh()
>
> Has anyone seen this before?
>
> Thanks.
>
>
>
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