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From: Christopher G. <chr...@gm...> - 2012-08-19 20:32:18
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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?
Best,
Chris
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From: Eric F. <ef...@ha...> - 2012-08-19 21:55:17
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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
>
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From: Michael D. <md...@st...> - 2012-08-20 13:13:38
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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 > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |
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From: Damon M. <dam...@gm...> - 2012-08-25 14:21:25
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On Mon, Aug 20, 2012 at 09:13:10AM -0400, Michael Droettboom wrote: > I've filed an issue for this here: > > https://github.com/matplotlib/matplotlib/issues/1110 > I think I have sussed out what's going on here. See PR: https://github.com/matplotlib/matplotlib/pull/1145 Basically, on creating a new Axes object, if a shared axes was passed in, a copy of the current axes scale is executed. This overwrites the current formatter. > > 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 > >Mat...@li... > >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 > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Damon McDougall http://www.damon-is-a-geek.com B2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom |
