Hello,

I have a short "wishlist" of some features that I think should be 
implemented in matplotlib:

- More scatter symbols:
   I had submitted a patch some time ago that adds more scatter symbols 
(http://sourceforge.net/tracker/index.php?func=detail&aid=1667100&group_id=80706&atid=560722).
 
there is, however, one scatter symbol which I think should be added: 
_points_. Especially in astronomy you sometimes want to show lots and 
lots of data-points in a scatter plot and point-like symbols are the 
only reasonable way to do this (-> supermongo can do this very nicely). 
I know, I can set the size of a marker to a very small number, but I 
have the feeling that a native point scatter symbol would be better/faster.

- Different "caps" for error-bars:
   It should be possible to draw different caps for the errorbars. 
People e.g. indicate upper or lower limits for errors by plotting an 
arrow-like caps; other symbols might also be useful !?

- Advanced legends:
   When trying to create a legend for a scatter plot, matplotlib only 
shows rectangular patches with the color of the scatter symbol. This is 
not very satisfying, especially for black&white printouts in 
publications when multiple symbols are chosen. e.g. triangles vs. 
squares. The legend should clarify what do triangles mean, what do 
squares mean. There is a scatter command, so the legend should properly 
handle a scatter plot - otherwise one could completely ignore scatter 
and only use the plot command.

Please don't misunderstand me - I really like matplotlib :-)
These are just some ideas which came into my mind these days. (Please 
tell me if I have missed some features that are already implemented in 
matplotlib ;-) )

Is there any chance that some of the above wished might be implemented?

Manuel

-- 
---------------------------------------
   Manuel Metz  ............  [EMAIL PROTECTED]
   Argelander Institut fuer Astronomie
   Auf dem Huegel 71 (room 3.06)
   D - 53121 Bonn

   E-Mail: [EMAIL PROTECTED]
   Web:    www.astro.uni-bonn.de/~mmetz
   Phone:  (+49) 228 / 73-3660
   Fax:    (+49) 228 / 73-3672
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