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I'm trying to make high-dimensionality scatter plots, but I've run into a 
couple of issues. I'm using scatter() but including both edge and face 
color mapping; I doubt this will provide a meaningful display, but I'd 
like to try it and see.... Unfortunately, passing data arrays to facecolor 
and edgecolor does *not* map the data arrays to colors--instead I get 
gray edges and/or faces. As a side note, none of the 'usual' keyword 
shortcuts (ec, fc, lw for example) work with scatter().

I was also wondering if it was possible to access 'luminence' or something 
similar to try to map another dimension onto the plot. For some data, 
(x,y,size,color,luminence) would provide very meaningful ways to view five 
continuous dimensions.

Thanks!
Matt

On Sunday 12 August 2007 05:01:57 pm Angel Ezquerra Moreu wrote:
> > I would suggest not using the pylab interface. Try building off of one of
>
> the
>
> > embedding_in examples in
> > http://matplotlib.sourceforge.net/matplotlib_examples_0.90.0.zip.
>
> Thank you for the answer, Darren. However, could you explain a bit more in
> detail why is not a good idea to use the pylab interface? It is very simple
> and easy to use (I am a Matlab user as well) so it felt very natural to try
> to use it.

I guess there is no reason you can't do it with pylab after all, see 
animation_blit_qt4, for example. I think you would be better off using a gui 
timer/event handler like in the blit example.

Darren

On Sunday 12 August 2007 07:05:38 pm Xavier Gnata wrote:
> OK my matplotlibrc was out of date. Now it works but I have found
> another but playing with the sliders of the backend:
> As the log is quite long, here are only the most relevant parts :
[...]
> It looks like that the ranges of the sliders are checked in a wrong way.
> It may be due to numerical rounding issues.

Unfortunately I have my hands full at work, so I don't know when I will be 
able to look into this. I would need more information before I could start 
anyway: a simple script and a list of steps that reproduces the problem, and 
does it only occur with the qt4 backend.

Darren

Eugen Wintersberger <eug...@jk...>
writes:

> The first line is the printing of the ticklabel list before the
> pylab.show() command. The second after pylab.show(). Why the list
> contains 1 entry before and 7 (as is should) after pylab.show()?

I think matplotlib is deferring the creation of the tick labels because
for all it knows, you might be going to plot something that will cause
the axes to be rescaled and change the tick locations and labels.

> I would like to access the labels before the final show command in a
> script. But how is this possible with this behavior? 

You could set the tick positions and labels explicitly, or if you like
the default tick locator, add the following before getting the ticklabel
objects:

a.xaxis.get_major_locator().refresh()

-- 
Jouni K. Seppänen
http://www.iki.fi/jks

Hi there
 I have some problem with accessing ticklabels in a script (see
attachment). The output of the script looks pretty strange to me:

<a list of 1 Text ticklabel objects>
<a list of 7 Text ticklabel objects>

The first line is the printing of the ticklabel list before the
pylab.show() command. The second after pylab.show(). Why the list
contains 1 entry before and 7 (as is should) after pylab.show()?
I would like to access the labels before the final show command in a
script. But how is this possible with this behavior? 
Best regards 
  Eugen

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