Hi Phil,
On Wed, Mar 13, 2013 at 5:14 AM, Phil Elson <pelson....@gmail.com> wrote:
> Joe,
>
> Do you have any feeling for performance of mpldatacursor? I'm interested
> to know if implementing this functionality by default (with an rcParam
> switch to disable) on all Axes would have a significant impact on
> performance?
>
It should be quite fast. In most cases only one extra annotation object
per-axes will be created. The annotation is updated, rather than a new one
being created, unless that's specifically what's desired (e.g. The
display='multiple' option).
>
>
> > If it is something that other people find useful, I'd be happy to submit
> a pull request to incorporate it into matplotlib.
>
> Personally, I find this kind of extension better as a completely separate
> piece of work which one could "pip install" - it means you can be more
> flexible with release cycles, especially in the early days of the code when
> regular updates are most likely. Though I should note, I'm not against it
> being included in mpl as an extension, if you would prefer that.
>
Good point! Especially in its current state, flexibility is a good thing!
>
>
> Thanks again for sharing!
>
Thanks! Glad to!
Cheers!
-Joe
On 13 March 2013 10:08, Phil Elson <pelson....@gmail.com> wrote:
> Thanks for this Joe, mpldatacursor looks like an excellent piece of work -
> I for one will be installing and using it regularly.
>
> Thanks for sharing!
>
>
>
>
>
> On 13 March 2013 03:58, Joe Kington <joferking...@gmail.com> wrote:
>
>> I recently got around to polishing up a snippet I've been using for quite
>> awhile. https://github.com/joferkington/mpldatacursor/ and I was
>> hoping to get some feeding on the current implementation.
>>
>> "mpldatacursor" allows a user to easily click on an artist and display a
>> customizable, interactive pop-up box displaying information about the
>> selected artist (e.g. x & y, label, z for images and collections, etc).
>> It's a stand-alone module (and in pypi), but you could also just download
>> the examples directory from github and copy the mpldatacursor.py file into
>> it to try things out.
>>
>> A few key questions:
>>
>> 1. Is this something that anyone else finds useful?
>>
>> 2. Does it seem intuitive?
>>
>> 3. Does the implementation seem flexible enough for most needs? (Note
>> that any additional kwargs are passed on to annotate to create the "data
>> cursor", so the appearance of the box is customizable through annotation
>> kwargs.)
>>
>> 4. Are there any obvious features missing?
>>
>> 5. Any suggestions? (especially better name suggestions...)
>>
>> If it is something that other people find useful, I'd be happy to submit
>> a pull request to incorporate it into matplotlib. (If I did, it would
>> probably be best to drop the HighlightDataCursor class, as its limited in
>> what it can do.)
>>
>> Thanks a bunch!
>>
>> -Joe
>>
>>
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>
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