Re: [Matplotlib-users] Independent Legends

2011-06-03 Thread Jae-Joon Lee
The first argument of the label command is a list of artist to be
labeled. And it does not matter whether they are associated with axes
or not. What you can do, therefore, is

  1) draw something as you want them in the legend
  2) remove them from the axes
  3) make a legend from these artists.

 l1, = plt.plot([1,2,3])
 l1.remove()
 plt.legend([l1], [test])

If you know how to create artists w/o using axes method (or. pyplot
function), you may do so of course.

Regards,

-JJ





On Thu, Jun 2, 2011 at 3:41 AM, htaunay htau...@gmail.com wrote:

 Is there anyway to set/create legends independent of what I am plotting?
 Simply manually create, position and show legends, that not necessarily are
 directly linked to the graph.

 To be specific, I am plotting several points, in a scatter form,
 individually, and depending on the given attributes, I manually set what
 colour and marker each point will present. My intention is to create legends
 that specify the categories of my data, in a way that I can manually define
 what colour/marker they are linked to.

 Thanks in advance for any help!
 --
 View this message in context: 
 http://old.nabble.com/Independent-Legends-tp31752112p31752112.html
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[Matplotlib-users] Independent Legends

2011-06-02 Thread htaunay

Is there anyway to set/create legends independent of what I am plotting?
Simply manually create, position and show legends, that not necessarily are
directly linked to the graph.

To be specific, I am plotting several points, in a scatter form,
individually, and depending on the given attributes, I manually set what
colour and marker each point will present. My intention is to create legends
that specify the categories of my data, in a way that I can manually define
what colour/marker they are linked to.

Thanks in advance for any help!
-- 
View this message in context: 
http://old.nabble.com/Independent-Legends-tp31752112p31752112.html
Sent from the matplotlib - users mailing list archive at Nabble.com.


--
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Installation's a snap, and flexible recovery options mean your data is safe,
secure and there when you need it. Data protection magic?
Nope - It's vRanger. Get your free trial download today. 
http://p.sf.net/sfu/quest-sfdev2dev
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