matplotlib-users Mailing List for matplotlib

Hi! I was looking through the sample doc tutorial:
http://matplotlib.org/sampledoc/
and found that the link to the hard copy of the documentation is missing.
Is there a more recent link?
Best,
William

Dear all,
I'm trying to to show where one set of values have NaN's on the contour plot of another set of values. I do this by creating a mask as such:
fld = randn(4,4)
fld[:2,:2] = np.nan
mask[mask==0] = np.nan
contourf(arange(4),arange(4),fld)
contourf(arange(4),arange(4),mask)
The problem is that the mask patch doesn't cover the empty space in the fld contour. Is there any way to make this happen?
My ultimate goal is something like this:
fld2 = randn(4,4)
contourf(arange(4),arange(4),fld2)
contourf(arange(4),arange(4),mask,[1,1], extend='both', 
 colors='w', alpha=0.5)
to present where fld has NaN's on the fld2 plot.
Many thanks in advance!
Bror Jonsson
"If you have a garden and a Library, You have everything you need." -Cicero
==============================================================
Associate Research Scholar
Princeton University
Department of Geosciences
113 Guyot Hall
Princeton, NJ 08544-1003
USA
AIM, Skype, gTalk: brorfred
Phone: +1-617-818-1096

Hello again
> expecting the transparency to "stop" at the layer below the plot and
> therefore see the.
Sorry, I meant "therefore see the panel".
-- 
Sylvain

Hello
I would like some help to understand a problem with matplotlib and 
wxpython.
I am developping a GUI where my plots are embedded on wxPanels on a 
wxNotebook (tabs). Under Windows, some themes don't use a single colour 
but a gradient as the tab background. Therefore, I'd like to make the 
background of my plots transparent.
Under Windows XP (whatever the theme), when I set the facecolor of the 
plot to 'none', the plot background becomes transparent, but the parts 
of the panel and of the notebook below as well, and I end up seeing 
other windows behind my GUI or the Windows desktop. I was expecting the 
transparency to "stop" at the layer below the plot and therefore see 
the.
I did a second experiment, where I overlayed two plots. The top one is 
larger than the one below. I make the top one partially transparent, to 
see the one below. The transparency is "stopped" in the area of the 
inferior plot, I see the desktop on the remaining parts, and where there 
is no plot the background of my panel.
I'm attaching the code for the second experiment.
I'm running XP 32bits with the Classic theme, python 2.7.3, matplotlib 
1.2.0 and wxpython 2.9.4-msw.
Thanks for your help
-- 
Sylvain

Hi All,
Hoping someone can help me get a definitive answer to this question.
Is draw_if_interactive bad to have in library plotting code?
Based on this thread [1], we've been working under the assumption that
calling draw_if_interactive in plotting code is bad. Though I'm
skeptical that this is the takeaway that we should have. I also asked
this question on the IPython mailing list [2] since the recommendation
comes from their type of usage, but I'm still not clear.
I'll repeat the gist of the question here.
We have plotting functions that are designed to update a given axes. I
often work in interactive mode, and I'd like it if these functions
updated my axes in the way that I expect (and an R user doing plotting
in Python would expect). But now I'm forced to litter my user scripts
with draw_if_interactive after I call a function I expect to update a
plot - say updating a scatter plot with a regression line. Would be
harmful to just include these draw_if_interactive calls in our plot
functions. To be clear, I never have to call show or draw because I'm
working in interactive mode, so the recommendation to just call show()
at the end of a script is not what I want.
My understanding of the pitfalls is 1) there's a performance hit to
calling draw instead of just making one call. This is moot because
we're only calling draw_if_interactive - so we assume the user is
working interactively and actually wants to do the drawing and doesn't
care about the performance hit. And 2) we are assuming that the user
has imported and is using pyplot and there are possible side effects.
A user wouldn't be using pyplot in a GUI or in some sort of embedded
plotting framework. However, my intuition says that if this is the
case, draw_if_interactive won't do anything because interactive will
be False in these cases.
Can someone please help clear this up? Thanks,
Skipper
[1] https://groups.google.com/forum/#!msg/pystatsmodels/biNlCvJPNNY/BT7bQJmOa1cJ
[2] http://python.6.n6.nabble.com/IPython-User-using-matplotlib-draw-if-interactive-in-library-code-td4991275.html