matplotlib-users Mailing List for matplotlib

Hi:
I encounter the following problems, most are related to log plots. I am using
version 0.54.1 on Solaris. Did I miss something trivial?
(1) No y tick labels when the range is less than 10, e.g.
>>> semilogy([8,5,6,4,5,6,7])
(2) The 0.3 tick mark is missing in this plot:
>>> semilogy([56,7,2,0.2,999])
(3) If we do the "linear" plot first and then overplot it with the (semi)log 
plot, the lowest Y label (1) is totally wrong and the lowest order of magnitude 
has no tick marks! e.g.
>>> plot([8,5,6,4,5,6,7])
>>> semilogy([56,7,2,0.2,999])
(4) When doing semilogx(), it is always necessary to issue the show() command 
afterwards, to see the plot. Not so for plot() or semilogy().
JC Hsu

>>>>> "Flavio" == Flavio Codeco Coelho <fcc...@fi...> writes:
 Flavio> John, I think it would be a good Idea to beef up the two
 Flavio> scales example by adding a second plot were the y axes
 Flavio> were independent while the x axis is shared. This is a
 Flavio> more common use of two scales.
Now you've confused me. In two_scales.py, the x axis *is shared* and
there are two independent y axes. I agree that this is the common use
case for multiple scales on the same axes, but that is what two_scales
already does.
Do you mean something like examples/ganged_plots.py by chance?
JDH