matplotlib-devel

[matplotlib-devel] Weirdness with matplotlib and new scipy

[Ravikiran R. <ra...@at...>]

After application of Daishi Harada's patch on 0.85, I tried to use it with 
SciPy core SVN from yesterday and get rather strange results:

x = scipy.array( [16.5]*10 )
y = scipy.array( [19.5]*10 )
w = scipy.arange(10)

# This plots a line at 16.0, not 16.5!
pylab.plot( w, x )

# However this works perfectly with a blue box 0-9 x 16.5x19.5
f = pylab.figure()
a = f.add_subplot( 1, 1, 1 )
a.fill( scipy.concatenate((w,w[::-1])), scipy.concatenate((x,y[::-1])) )
f.canvas.draw()

Further, the legend boxes are too large, usually obscuring most of the picture 
with a polygonal patch (such as the one produced by the fill above) or at 
least a half without any polygonal patches.

How can I help debug these issues?

Regards,
Ravi

Re: [matplotlib-devel] Weirdness with matplotlib and new scipy

[<da...@eg...>]

On Nov 23, 2005, at 12:20 PM, Ravikiran Rajagopal wrote:
> After application of Daishi Harada's patch on 0.85, I tried to use it 
> with
> SciPy core SVN from yesterday and get rather strange results:

I'm sorry you're having troubles with the patch.
Unfortunately, I can't seem to recreate your problem.
I realize "works for me" isn't a particularly useful
response, but I'm afraid that's the best I can do
for now - and I'll be away again for Thanksgiving
until next week.

FWIW, I'm using the CVS matplotlib with the wx backend,
and the new scipy w/atlas.

d

Re: [matplotlib-devel] Weirdness with matplotlib and new scipy

[Ravikiran R. <ra...@at...>]

On Wednesday 23 November 2005 19:51, da...@eg... wrote:
> Unfortunately, I can't seem to recreate your problem.

The problem is that I have both Numeric[1] and the new scipy installed. When 
both are installed, the Numeric headers are picked up by default during scipy 
compilation. By forcing them to pick up the scipy headers, the problem was 
resolved. But it is a rather strange coincidence that the error results in 
truncated numbers rather than something drastic.

Ravi

[1] Reason: It will be a while before all my Numeric-based libraries are 
ported to the new scipy; porting is trivial, but regression testing takes 
time, especially given that the new scipy C API is not quite stable yet and 
that I haven't yet ported boost.python.numeric to scipy.

[matplotlib-devel] suptitle/suplabel for subfigures

[Philip A. <pa...@eo...>]

Matlab has a useful contributed function called suptitle.m that
puts a central title above a set of subplots:

http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=3233&objectType=file

I'm planning to do a port for matplotlib, but wanted to check first to see if
it's a solved problem -- best, Phil Austin

Re: [matplotlib-devel] suptitle/suplabel for subfigures

[John H. <jdh...@ac...>]

>>>>> "Philip" == Philip Austin <pa...@eo...> writes:

    Philip> Matlab has a useful contributed function called suptitle.m
    Philip> that puts a central title above a set of subplots:

    Philip> http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=3233&objectType=file

    Philip> I'm planning to do a port for matplotlib, but wanted to
    Philip> check first to see if it's a solved problem -- best, Phil

I believe this is equivalent to something like 

fig.text(0.5, 0.9, 'some text')

where fig is a Figure instance.  See

  http://matplotlib.sf.net/matplotlib.figure.html#Figure-text

Exposing subtitle as a pylab function which wraps this functionality
is fine by me.

JDH




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