[IPython-dev] D3js and IPython

Brian Granger ellisonbg@gmail....
Tue Jan 8 16:04:31 CST 2013


Using the JS Plugins branch, you can use the following model:

* Write a JS plugin that has all of the javascript code you need - you
can do whatever you want.
* That Js plugin will declare a handler for a particular type of data.
* You can then publish JSON data to that handler using appropriate Python calls.

You shouldn't ever need to use the existing Javascript object to write
your JS code.

Cheers,

Brian


On Tue, Jan 8, 2013 at 1:11 PM, lecast <martin.zmk@gmail.com> wrote:
> Thx. I will have a look at both the repository and the pull.
>
> Returning Javascript() or HTML() is not exactly what I need. In general I
> always need  to publish both html and javascript within a function so that
> function that would correspond to make_table() from ipy_table creates both
> the element and the script that populates that element. But this is mute
> here, since I couldn't find a way to copy final elements from the window and
> saving them in the notebook for good, the only thing that actually is saved
> is the final html object.
>
> I don't use inline JS anywhere there. But, if you prevent inline JS in
> output then you will also prevent a lot of interactivity on final output
> that e.g. d3 generates. I mean you need to be able to have things like
> onClick etc. But if you mean that you will prohibit me from saving
> javascript in any form in the notebook, then I will probably have to stop
> pulling the new versions... Right now I spend all my time in Notebook, i.e.
> I wrote a script that converts notebooks to latex and I just write my papers
> in Notebook. It is nice since I see my math instantly, but I need to be able
> to embed some javascript that appears only in those notebooks that are
> really papers, e.g. to replace references or make highlights (
> http://i46.tinypic.com/163qyg.png ).
>
> Customjs is ok unless you send the notebook to someone and don't tell them
> they need to have it as well. I wanted something that produces output that
> is easily replicable.
>
>
>
> Z wyrazami szacunku,
> Marcin Zamojski
>
>
> On Tue, Jan 8, 2013 at 8:56 PM, Matthias Bussonnier [via Python] <[hidden
> email]> wrote:
>>
>> Hi !
>>
>> It look really great :
>>
>> A few comment :
>>
>> Obstacle 1
>> def x():
>>         from IPython.core.display import Javascript
>>         Javascript('alert("a")')
>> x()
>>
>> you probably want to `return Javascript('alert("a")')`
>> Am I wrong ?
>>
>>
>> Obstacle 2:
>>  same : `return HTML()` I guess...
>>
>> Please, please, please don't inline script.
>> We will in anyway prevent script in output so this will become useless
>> anyway.
>> Which will deprecate _js_repr_ (at least make it useless) but Brian
>> Json-handler branch
>> ill work much better to do what you want.
>>
>> Obstacle 3/Obstacle 4
>> Will be solve with brian Json Handler branch.
>>
>> You probably want to inject your own library in the notebook,
>> which can be done via custom.js
>>
>> draft doc :
>> http://elacave.lmdb.eu/~carreau/yui/classes/IPython.customjs.html
>> use $.getScript(url)
>> for example :
>> $.getScript('d3.min.js') in you have d3.min.js in
>> .ipython/profile_xxx/static/js/d3.min.js
>>
>> You might be interesting in
>> http://epmoyer.github.com/ipy_table/
>>
>> To join effort.
>>
>> Thanks.
>> --
>> Matthias
>>
>>
>>
>>
>> Le 8 janv. 2013 à 17:26, lecast a écrit :
>>
>> > This is a new thread but it is born out and related to a  previous
>> > discussion
>> >
>> > <http://python.6.n6.nabble.com/experiment-remote-execution-of-jquery-and-d3-code-into-the-browser-via-ipython-td4633053.html#a4955237>
>> > . The goal there was to live update figures created with d3js in IPython
>> > Notebook. It was suggested that a solution would be to use widgets,
>> > which I
>> > have to admit I did not have time to understand so instead I decided to
>> > create something that produces the end product I was aiming at, i.e.
>> > take
>> > output from Python, use d3js to create a table/figure, use some
>> > blackbox,
>> > have the output visible in the notebook (or be able to save it elsewhere
>> > as
>> > svg/html/png/etc).
>> >
>> > You can find an example notebook with a lot of custom tables and some
>> > figures  here <http://nbviewer.ipython.org/4484816/ipyD3sample.ipynb>  .
>> > They are all created based on data from Python, rendered in PhantomJs
>> > (in
>> > that case I just copy the html, but PhantomJs allows for conversion to
>> > other
>> > formats), and then published in the notebook.
>> >
>> > I created it for myself, so there is hardly any commenting in the file
>> > (I
>> > know, bad), but I have been using it for a few months now and it works
>> > really well. D3js has some great modern visualizations coded in and it
>> > takes
>> > only a few days to learn the syntax by doing.
>> >
>> > Personally I think it would be really nice to make it into an
>> > extension/package, but I lack experience/time to do that.
>> >
>> >
>> >
>> > --
>> > View this message in context:
>> > http://python.6.n6.nabble.com/D3js-and-IPython-tp5001661.html
>> > Sent from the IPython - Development mailing list archive at Nabble.com.
>> > _______________________________________________
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>
>
>
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-- 
Brian E. Granger
Cal Poly State University, San Luis Obispo
bgranger@calpoly.edu and ellisonbg@gmail.com


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