<div dir="ltr">Here's another example of interactive IPython + HTML + JS using Google Maps API: <a href="https://www.wakari.io/sharing/bundle/wakari_demo/realtime_twitter_analysis">https://www.wakari.io/sharing/bundle/wakari_demo/realtime_twitter_analysis</a><div>
<br></div><div>Note the Wakari preview (and I'm pretty sure nbviewer) won't run JS, so you need to download and run the notebook or run/edit it in Wakari.</div><div><br></div><div><br></div><div>Clayton A Davis</div>
<div>Continuum Analytics</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Tue, Oct 22, 2013 at 3:07 PM, Abhishek Pratap <span dir="ltr"><<a href="mailto:apratap@sagebase.org" target="_blank">apratap@sagebase.org</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Thanks..<div><br></div><div>In the meantime can someone propose a way to push in a HTML+JS code(rendering a plot) in a Ipython cell. </div>
<div><br></div><div>For example the attached html file is a simple plot based on D3. If I can update the DOM with required JS libs and render a HTML/JS script mashup ..I think it will work. Any pointers ? </div>
<div><br></div><div>I did look at the <a href="https://github.com/cschin/ipython_d3_mashup" style="font-family:arial,sans-serif;font-size:13px" target="_blank">https://github.com/cschin/ipython_d3_mashup</a> code base but dont want to spit out plot in a separate box. I would prefer it to be integrated within Ipython cell.</div>
<div><br></div><div><br></div><div>-Abhi</div></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Oct 21, 2013 at 12:16 PM, Matthias BUSSONNIER <span dir="ltr"><<a href="mailto:bussonniermatthias@gmail.com" target="_blank">bussonniermatthias@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Abi,<br>
<br>
Please have a look at our roadmap,<br>
<br>
For example here:<br>
<br>
<a href="https://github.com/ipython/ipython/wiki/Roadmap:-IPython" target="_blank">https://github.com/ipython/ipython/wiki/Roadmap:-IPython</a><br>
<br>
You will see that ability to do so is planned for future release, and that current<br>
example you find on the web right now are mostly hackish, and that IPython<br>
infrastructure is not ready for that yet.<br>
<br>
You can follow up by tracking the relevant issues on github, or<br>
watching the live youtube lab meeting every Thursday.<br>
<br>
Thanks.<br>
--<br>
M<br>
<br>
<br>
<br>
Le 21 oct. 2013 à 21:02, Abhishek Pratap a écrit :<br>
<div><div><br>
> Hi All<br>
><br>
> Note: The same question was posted on stackoverflow last week but dint garner enough attention I guess. (link below)<br>
><br>
> Just wondering if there are examples(may be Ipython notebooks) of rendering interactive plots in python that are bit more involved than simple bar/line plots.<br>
> I did look at d3py and vincent. In the case of latter I was not able to find any example of interactive graphics but only static images using D3/JS. For d3py I am looking for an interesting graphic/s beyond simpler demo bar line plots.<br>
><br>
> Any Ipython notebook demonstrating the same would be very helpful. It will be good to know if there are other packages that I should be keeping on my radar. Did have a quick look at Bokeh but not sure if I shud wait a bit before it is more stable and has some documentation.<br>
><br>
> PS: looking for something that can be slickly integrated into a webpage / Ipython notebook<br>
><br>
><br>
><br>
> stackoverflow link:<br>
><br>
> <a href="http://stackoverflow.com/questions/19453430/examples-of-interactive-plots-through-python" target="_blank">http://stackoverflow.com/questions/19453430/examples-of-interactive-plots-through-python</a><br>
><br>
><br>
><br>
> Thanks!<br>
><br>
> -Abhi<br>
><br>
><br>
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