Hi, you projects looks really great! I was wondering if you are making use of any pre-existing javascript plotting library like flot or flotr2 ? And if not, what are your reasons ?
Thanks, Sebastian Haase On Thu, Oct 24, 2013 at 9:55 PM, Jason Grout <jason-s...@creativetrax.com> wrote: > On 10/24/13 1:42 PM, Peter Wang wrote: >> On Thu, Oct 24, 2013 at 10:11 AM, Jason Grout >> <jason-s...@creativetrax.com <mailto:jason-s...@creativetrax.com>> wrote: >> >> It would be really cool if you could hook into the new IPython comm >> infrastructure to push events back to the server in IPython (this is not >> quite merged yet, but probably ready for experimentation like this). >> The comm infrastructure basically opens up a communication channel >> between objects on the server and the browser. Messages get sent over >> the normal IPython channels. The server and browser objects just use >> either send() or an on_message() handler. See >> https://github.com/ipython/ipython/pull/4195 >> >> >> Yeah, I think we should definitely look into integrating with this >> mechanism for when we are embedded in a Notebook. However, we always >> want the underlying infrastructure to be independent of IPython >> Notebook, because we want people to be able to build analytical >> applications on top of these components. > > That makes a lot of sense. And looking at the code, it looks like you > are cleanly separating out the session objects controlling communication > from the plot machinery. That will hopefully make it much easier to > have different transports for the communication. > > >> >> Here's a very simple example of the Comm implementation working with >> matplotlib images in the Sage Cell server (which is built on top of the >> IPython infrastructure): http://sagecell.sagemath.org/?q=fyjgmk (I'd >> love to see a bokeh version of this sort of thing :). >> >> >> This is interesting, and introducing widgets is already on the roadmap, >> tentatively v0.4. When running against a plot server, Bokeh plots >> already push selections back to the server side. (That's how the linked >> brushing in e.g. this example works: >> https://www.wakari.io/sharing/bundle/pwang/cars) >> >> Our immediate short-term priorities for 0.3 are improving the layout >> mechanism, incorporating large data processing into the plot server, and >> investigating basic interop with Matplotlib objects. >> >> > > Great to hear. > > > Jason > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
