Well... this is a *really* late reply, but I finally got around to adding
easier navigation for the style gallery
<https://tonysyu.github.io/raw_content/matplotlib-style-gallery/gallery.html>.
I
also added an update for styles added in Matplotlib 1.5 and wrote a quick
post <https://tonysyu.github.io/matplotlib-style-gallery.html#.VvoAzxIrKV4>.
Cheers!
-Tony
On Thu, Jan 8, 2015 at 8:10 PM, Tony Yu <tsy...@gmail.com> wrote:
> Thanks Max!
>
> I was planning to add a more interactive interface, really similar to what
> you're suggesting. I haven't gotten around to it, but hopefully, I'll have
> some time to play around with that.
>
> On Thu, Jan 8, 2015 at 4:56 PM, Maximilian Albert <
> maximilian.alb...@gmail.com> wrote:
>
>> Hi Tony,
>>
>> This is awesome. Great work!
>>
>> I was wondering, is there an easy way to cycle through all available
>> styles for a given plot? For instance, clicking on the top left plot
>> displays a maximized image of the "bmh" style. It would be great if one
>> could press arrow-down (say) to cycle through the other styles
>> "dark_background", "fivethirtyeight", etc. for a quick comparison.
>>
>> Cheers,
>> Max
>>
>>
>> 2015-01-06 4:42 GMT+00:00 Tony Yu <tsy...@gmail.com>:
>>
>>> I've been playing around with learning Javascript lately. As part of the
>>> process, I created a Flask app to build a gallery for matplotlib style
>>> sheets:
>>>
>>> https://github.com/tonysyu/matplotlib-style-gallery
>>>
>>> If you run that locally, you can actually input styles, either with a
>>> URL to a *.mplstyle file or with matplotlibrc commands. Here's a static
>>> version without the custom inputs:
>>>
>>>
>>> http://tonysyu.github.io/raw_content/matplotlib-style-gallery/gallery.html
>>>
>>> Ideally, I'd get this into a form that could be submitted as a PR for
>>> the matplotlib website, but I'll need a bit more spare time to learn some
>>> more web development (sessions, client storage, etc).
>>>
>>> Cheers!
>>> -Tony
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Dive into the World of Parallel Programming! The Go Parallel Website,
>>> sponsored by Intel and developed in partnership with Slashdot Media, is
>>> your
>>> hub for all things parallel software development, from weekly thought
>>> leadership blogs to news, videos, case studies, tutorials and more. Take
>>> a
>>> look and join the conversation now. http://goparallel.sourceforge.net
>>> _______________________________________________
>>> Matplotlib-devel mailing list
>>> Matplotlib-devel@lists.sourceforge.net
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>>>
>>>
>>
>
------------------------------------------------------------------------------
Transform Data into Opportunity.
Accelerate data analysis in your applications with
Intel Data Analytics Acceleration Library.
Click to learn more.
http://pubads.g.doubleclick.net/gampad/clk?id=278785471&iu=/4140
_______________________________________________
Matplotlib-devel mailing list
Matplotlib-devel@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
