On Tuesday 14 August 2007 07:35:43 pm Darren Dale wrote:
> I'm developing an application for work and need to plot some spectra on a
> logscale. I can recreate my problem with embedding_in_qt4, by replacing
> MyDynamicMplCanvas.compute_initial_figure with this:
>
>     def compute_initial_figure(self):
>          self.axes.plot([0, 1, 2, 3], [1, 2, 0, 4], 'r')
>          self.axes.set_yscale('log')
>
> [...]
> File
> "/usr/lib64/python2.5/site-packages/matplotlib-0.90.1_r3709-py2.5-linux-x86
>_64.egg/matplotlib/axes.py", line 1664, in set_ylim
>     raise ValueError('Cannot set nonpositive limits with log transform')
> ValueError: Cannot set nonpositive limits with log transform
>
> I get that error even if I modify the update figure function so there is no
> possibility of zeros occuring in the data

I have tracked this back through axes.cla(), which is called when axes._hold 
is False, to axis.cla(). axis.cla() resets the locators, but the transforms 
are still set to mtrans.LOG10. Since plot is called by loglog, and semilog*, 
it shouldn't be using any methods that modify locators. If cla() resets the 
transforms, then the behavior of plot will be different, preserving log 
transforms when hold is True, but changing to linear transforms when hold is 
False.

I wonder if cla() is trying to do too much. Maybe the initial setting of 
locators should be moved out of cla(), which is called by Axes.__init__, and 
into Axis.__init__. Then calls to cla() will preserve the scaling, and the 
behavior of plot() will be consistent, regardless of the whether hold is 
enabled or not. 

Darren

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