matplotlib-users Mailing List for matplotlib

Hello,
My company, Resonon, is releasing our free (as in beer) software 
package, Spectronon. Spectronon is written in python and utilizes 
matplotlib, numpy, PIL, and scipy. Spectronon's main purpose is 
analyzing hyperspectral data (images with many more bands of color than 
the traditional 3: red, green, blue). It can also be useful for more 
traditional image processing. Perhaps of most interest here, it is a 
quick way to get access to a command line with a bunch of useful 
libraries, plotting, and image viewing. It's packaged as a basic exe 
installer. There is also a fairly simple plug-in architecture for 
extending some of Spectronon's behavior. 
 As the main developer, I am very thankful for all the good work that 
gets put in to all these underlying libraries, and I hope that in 
getting this software out for free, it can in turn support more academic 
and research applications of python and its libraries. The release will 
also help me expose bugs, hopefully get more people interested in 
writing plug-ins for Spectronon, and help me learn other ways to improve 
the code base. While the source code is not presently open, the API is 
open in order to support writing plug-ins.
Here are some screenshots:
http://www.spectronon.com/wiki/index.php?title=Screenshots
I recommend users on this list go directly to the developer docs here:
http://www.spectronon.com/wiki/index.php?title=Setup_a_Simple_Development_Environment 
as this tutorial will step you through the aspects of Spectronon of most 
probable interest.
Links to the download, support forums, and more docs are available at 
http://www.spectronon.com
Thanks very much. I hope it's a fun ap for folks, and I greatly 
appreciate any questions, feedback, or comments as we begin to get this 
project off the ground.
Tim

I see. 
 
I only checked that the code in hist() hadn't changed. I guess it pays
to be thorough. Hope this didn't waste too much time.
 
Cheers,
Scott
>>> Eric Firing <ef...@ha...> 4/30/2007 20:02 >>>
Scott,
In svn, barh does accept the 'log' kwarg via **kwargs, and your example
works correctly. Here is the relevant CHANGELOG entry, after 0.90 was
released:
2007年03月03日 Change barh to take a kwargs dict and pass it to bar.
 Fixes sf bug #1669506.
I think it was just a matter of changing the barh signature to:
 def barh(self, bottom, width, height=0.8, left=None, **kwargs):
but I haven't looked back at the svn records to check that.
Eric
Scott Sinclair wrote:
> Hi,
> 
> The following code fails for me with matplotlib-0.90.0 --
> 
> ---------------------------------------------------
> import pylab as pl
> 
> x = pl.randn(1000)
> 
> pl.hist(x, orientation='horizontal')
> 
> pl.show()
> ---------------------------------------------------
> 
> This is because Axes.barh() [called by Axes.hist() in axes.py]
doesn't 
> accept the keyword argument 'log'. The attached patch fixes the
problem 
> for my purposes (linear scaling of the axes) but obviously fails to 
> scale the bin count axis correctly if hist() is called with log=True
> i.e. pl.hist(x, orientation='horizontal', log=True).
> 
> It appears that this is still the case in the latest svn version of
axes.py.
> 
> Cheers,
> Scott
> 
> 
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>
------------------------------------------------------------------------
> 
> --- axes.py2007-01-22 18:57:58.000000000 +0200
> +++ patched_axes.py2007-04-30 15:12:15.921875000 +0200
> @@ -4462,7 +4462,7 @@
> if width is None: width = 0.9*(bins[1]-bins[0])
> if orientation == 'horizontal':
> patches = self.barh(bins, n, height=width, left=bottom,
> - align=align, log=log)
> + align=align)
> elif orientation == 'vertical':
> patches = self.bar(bins, n, width=width, bottom=bottom,
> align=align, log=log)
> 
> 
>
------------------------------------------------------------------------
> 
>
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