gt; > inside
> > > > > Zeppelin. Unfortunately I can’t find the code I used but from
> > memory, my
> > > > > solution was to try invoking the library, and if, the library object
> > didn’t
> > > > > exist, load it. In the onload() callba
nd if, the library object
> didn’t
> > > > exist, load it. In the onload() callback (not sure I’ve remembered
> the
> > > > method’s name right) I would then draw my map. I certainly didn’t
> embed the
> > > > library in the notebook itself.
> &g
and if, the library object
> > > didn’t
> > > exist, load it. In the onload() callback (not sure I’ve remembered the
> > > method’s name right) I would then draw my map. I certainly didn’t embed
> > > the
> > > library in the notebook itself.
> > >
> > &
rary object didn’t
> > exist, load it. In the onload() callback (not sure I’ve remembered the
> > method’s name right) I would then draw my map. I certainly didn’t embed the
> > library in the notebook itself.
> >
> >
> >
> > *From:* Jeff Zhang
> &g
I’ve remembered the
> method’s name right) I would then draw my map. I certainly didn’t embed the
> library in the notebook itself.
>
>
>
> *From:* Jeff Zhang
> *Sent:* 14 August 2018 08:11
> *To:* users@zeppelin.apache.org
> *Subject:* EXT: Re: Inefficient third party JS li
exist, load it. In
the onload() callback (not sure I’ve remembered the method’s name right) I
would then draw my map. I certainly didn’t embed the library in the notebook
itself.
From: Jeff Zhang
Sent: 14 August 2018 08:11
To: users@zeppelin.apache.org
Subject: EXT: Re: Inefficient third party JS
Do you know how jupyter handle that ? And bokeh would load js from CDN so
it doesn't have the issue you mentioned, maybe plotly could use similar
approach.
https://bokeh.pydata.org/en/latest/
andreas.we...@gmail.com 于2018年8月14日周二 下午2:34写道：
> We are using plotly for charts quite often (plotly p
We are using plotly for charts quite often (plotly python in conjunction with
pyspark) and it reavels a weakness regarding to third party JS library
integration.
Unfortunately current plotly integration is not very efficient in terms of
library integration, which leads to huge notebooks. This i
