Re: [matplotlib-devel] Adding interactivity to an histogram in SVG

[David H. <dav...@gm...>]

Mike,

I forked your branch and created this one which includes the revised
histogram example.

https://github.com/huard/matplotlib/tree/interactive_svg

Cheers

David

On Tue, Aug 23, 2011 at 1:37 PM, David Huard <dav...@gm...> wrote:
> On Tue, Aug 23, 2011 at 11:29 AM, Michael Droettboom <md...@st...> wrote:
>> On 08/23/2011 10:06 AM, David Huard wrote:
>>>
>>> You may want to try moving the "<defs>" containing the clipPath up a
>>>> level, so it is a peer with the histogram rectangles.
>>> Yep, that works.
>>>
>>>> That's just a stab in
>>>> the dark.  If that turns out that makes the difference, that should be an
>>>> easy enough fix within matplotlib.
>>> That would be great !
>>
>> I have a fix on this branch here:
>>
>> https://github.com/mdboom/matplotlib/tree/svg_references
>>
>> Would you mind testing it?
>
> Works like a charm !
>
>>
>>> I'd be glad to contribute an example for the matplotlib gallery if
>>> there is an interest. I think the SVG+JS combo has a lot of potential,
>>> and matplotlib makes it easy.
>>
>> That would make a great addition.  One small comment: I would put the
>> "onclick" handler on the legend handles as well as the legend text.  I
>> tried to click the legend handles (with nothing happening) until I
>> realized the "hotspot" was only on the text.
>
> Right, done.
>
>>
>> For a long time, I have considered having a framework where arbitrary
>> XML attributes can be assigned to artists and written out directly by
>> the SVG writer to avoid the two-pass approach you're using here.  (There
>> is already support for assigning hyperlinks to SVG documents, but that
>> could be made more general).
>
> I thought about this too. There is already a set_gid method, so I
> guess generalizing this to any (attribute, value) pair should not be
> too hard. On the other hand, what would also help is more hierarchy
> within the svg tree. At the moment, a group is created for figure,
> axes, axis, legend and collections (from a quick overview, maybe there
> are others.) However, since histogram returns flat patches instead of
> a collection of patches, we need to loop through all bar patches to
> set their properties. If histogram returned one patchcollection per
> variable, we could address this group directly instead of the
> individual elements.
>
>> But that will require some careful design
>> consideration etc. to get it done.  In the meantime, it's useful having
>> an example that shows how to do this using ElementTree to modify the SVG
>> after matplotlib outputs it.
>
> Good, I'll work on this then.
>
> Thanks,
>
> David
>
>
>>
>> Cheers,
>> Mike
>>
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