Hi Chris and others,
On 11/23/11 12:39 PM, Chris Barker wrote:
> On 11/23/11 10:38 AM, Benjamin Root wrote:
>
>
> > There is an HTML5 backend, supposedly. Don't know how well documented it
> > is, though.
> >
>
> Hmm -- coll idea -- I'll look into that at some point. However, as I
> don't need the MPL machinerey, but just the renderer, I'm not sure it
> would buy me much.
>
> And I'm not sure I can:
>
> a) count on html 5 on all browsers we need to support
>
> or
>
> b) get the drawing performance I want if I have to push all the data to
> the client to draw.
>
> But something to keep an eye on, thanks.
Ben is referring to mplh5canvas, available at
http://code.google.com/p/mplh5canvas/. The main advantage of this approach is
interactive zooming of plots within the browser. If this is not important to
you, it will probably be faster to generate static PNGs or SVGs.
The HTML5 backend should be easy to try out, as it is a pure Python package
with no onerous dependencies.
I'll try to address your concerns mentioned above:
a) The Canvas element is quite well supported in modern browsers, but the
WebSocket component (used to communicate between the matplotlib backend
"server" code in Python and the "client" code on the browser in JavaScript) is
a bit trickier to support.
b) Here the matplotlib machinery actually helps, by reducing the primitives to
draw via path simplification before sending them to the client browser.
We have also used flot (http://code.google.com/p/flot/) for simple time-series
plots without matplotlib. I'm not sure how well it performs on large data sets,
though.
Regards,
Ludwig
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