matplotlib-devel Mailing List for matplotlib

Is this something the new WebAgg backend should solve?
Raphael
On 2 March 2014 20:46, Raphael C <dr...@gm...> wrote:
> Thank you that is good to know. From my personal point of view I was
> just interested in a view simple form of interactivity. That is the
> ability to click on data points and see their labels. I have to say
> mpldatacursor is very nice and does precisely this. It however has
> some disadvantages.
>
> a) It's not possible to save the current state of your interactive
> visualisation to send to someone else (except as a snapshot png).
> b) Due to its dependencies it is also hard to send your code to
> someone else as they are unlikely to have the dependencies to get it
> to work. This would be solved by having the functionality in something
> standard like matplotlib.
> c) There appears to be only one contributor currently. (I could be
> wrong about this last point.)
>
> Raphael
>
> On 2 March 2014 20:32, Matt Sundquist <ma...@pl...> wrote:
>> Hey Raphael,
>>
>> Jake Vanderplas has been working on mpld3, which lets you create D3
>> renderings of matplotlib graphs. We (Plotly) are working with him on a
>> matplotlib exporter that lets you make interactive, online, labels/text on
>> the hover Plotly graphs with matplotlib. Here is an IPython Notebook showing
>> how to do that:
>>
>> http://nbviewer.ipython.org/github/theengineear/mplexporter/blob/master/notebooks/PlotlyTest.ipynb?create=1
>>
>> We're early on still, and Jake is definitely the driving force/mastermind
>> behind the project. We're hoping to support more and more plotting from
>> matplotlib and would love help, tips, feedback, and suggestions. We're happy
>> to talk more if you'd like.
>>
>> Thanks a bunch,
>> M
>>
>>
>> On Sun, Mar 2, 2014 at 12:17 PM, Raphael C <dr...@gm...> wrote:
>>>
>>> I posted this to https://github.com/matplotlib/matplotlib/issues/2856
>>> but it was suggested that the mailing list was a better place.
>>>
>>> I am plotting a simple graph with many points. I would like to explore
>>> the data by clicking on some of them to see what their labels are
>>> (much as I can already in R). I don't want to see all the labels at
>>> once. Currently the only solution I found was mpldatacursor. Is this
>>> feature something interesting to matplotlib developers or even being
>>> currently worked on?
>>>
>>> Raphael
>>>
>>>
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>>
>>