Hi there,
I hit a strange but in the code for logarithmic plotting. Executing the
following code:
···
----------------------------------
from matplotlib.matlab import *
plot([1.,2.],[0.01,0.2])
gca().set_yscale('log')
show()
----------------------------------
gives the following traceback:
------------------------------------
Traceback (most recent call last):
File "./matplotlib-bug.py", line 4, in ?
show()
File
"/home/nobbi/NNlab/install/lib/python2.3/site-packages/matplotlib/backends/backend_tkagg.py",
line 68, in show
manager.show()
File
"/home/nobbi/NNlab/install/lib/python2.3/site-packages/matplotlib/backends/backend_tkagg.py",
line 284, in show
self.canvas.draw()
File
"/home/nobbi/NNlab/install/lib/python2.3/site-packages/matplotlib/backends/backend_tkagg.py",
line 135, in draw
FigureCanvasAgg.draw(self)
File
"/home/nobbi/NNlab/install/lib/python2.3/site-packages/matplotlib/backends/backend_agg.py",
line 310, in draw
self.figure.draw(self.renderer)
File
"/home/nobbi/NNlab/install/lib/python2.3/site-packages/matplotlib/figure.py",
line 254, in draw
for a in self.axes: a.draw(renderer)
File
"/home/nobbi/NNlab/install/lib/python2.3/site-packages/matplotlib/axes.py",
line 935, in draw
self.transData.freeze() # eval the lazy objects
ValueError: Cannot take log of nonpositive value
-------------------------------------
The appearance of this bug actually depends opn the ratio between the y-values
given: if the factor exceeds 10, the code breaks:
[0.1,0.2] works
[0.01,0.02] works
[0.1,1.0] works
[0.1,2.0] breaks
[1.0,11.0] breaks
Also: the problem does not appear when using semilogy
I'm using cvs versions of matplotlib and Numeric on python 2.3.4
Greetings,
Norbert
--
_________________________________________Norbert Nemec
Bernhardstr. 2 ... D-93053 Regensburg
Tel: 0941 - 2009638 ... Mobil: 0179 - 7475199
eMail: <Norbert@...160...>