I've filed an issue for this here:
https://github.com/matplotlib/matplotlib/issues/1110
Mike
On 08/19/2012 05:55 PM, Eric Firing wrote:
On 2012/08/19 10:31 AM, Christopher Graves wrote:
Hi
I do not think this is the expected behavior. First, run the following:
from pylab import *
plot([0,3],[0.2,0.7])
ax1 = gca()
ax1.set_yscale('log')
gca().yaxis.set_major_formatter(FormatStrFormatter('$%g$'))
#ax2 = ax1.twiny()
#ax2.set_xlim(ax1.get_xlim())
show()
You will see that the y-axis is log10rithmic and axis labels are 0.1 and
1 rather than 10^-1 and 10^0, due to the use of set_major_formatter().
Now uncomment the 2 commented lines and run it again. It seems that upon
applying a twiny(), the set_major_formatter() action is removed and the
y-axis is now displayed as 10^-1 and 10^0. Or more likely, the y-axis is
"overwritten" with a new y-axis present in ax2. One can add another
gca().yaxis.set_major_formatter(FormatStrFormatter('$%g$')) before the
show() and it works as intended. However, it seems like unexpected
behavior to "lose" the formatting when twinning the axis to add a
secondary x-axis. Any advice or agreement that this could be a bug?
Yes, I think this is a bug.
Eric
Best,
Chris
------------------------------------------------------------------------------
Live Security Virtual Conference
Exclusive live event will cover all the ways today's security and
threat landscape has changed and how IT managers can respond. Discussions
will include endpoint security, mobile security and the latest in malware
threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
------------------------------------------------------------------------------
Live Security Virtual Conference
Exclusive live event will cover all the ways today's security and
threat landscape has changed and how IT managers can respond. Discussions
will include endpoint security, mobile security and the latest in malware
threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
